以作者查詢圖書館館藏 、以作者查詢臺灣博碩士 、以作者查詢全國書目 、勘誤回報 、線上人數：43 、訪客IP：34.231.21.105

姓名新可夫(keshav Singh) 查詢紙本館藏 畢業系所通訊工程學系 論文名稱Performance Optimization of Spectrum and Energy Efficiency for Wireless Relay Networks

(Performance Optimization of Spectrum and Energy Efficiency for Wireless Relay Networks)相關論文檔案[Endnote RIS 格式] [Bibtex 格式] [相關文章] [文章引用] [完整記錄] [館藏目錄] [檢視] [下載]

- 本電子論文使用權限為同意立即開放。
- 已達開放權限電子全文僅授權使用者為學術研究之目的，進行個人非營利性質之檢索、閱讀、列印。
- 請遵守中華民國著作權法之相關規定，切勿任意重製、散佈、改作、轉貼、播送，以免觸法。

摘要(中)Explosive growth in data rate put some serious challenges on wireless system designers and link budget planning. Low transmit power, system coverage and capacity, high data rates, spatial diversity and quality of services (QOS) are the key factors in future wireless communication system that made it attractive. Dual-hop relaying is the promising underlying technique for future wireless communications to address such dilemmas. The objective of this dissertation is to optimize the performance of dual-hop amplify-and-forward (AF) relay networks to enhance the energy and spectral efficiency.

Multiple-input multiple-output (MIMO) relays provide the high throughput of MIMO communication with the coverage extension capability of relay transmission. But one of the main limitations of MIMO relay network is effectively managing the intersymbol interference (ISI) and multiple antenna interference (MAI). In the first part of this dissertation, an equalize-and-forward (EF) relaying schemes are designed to efficiently mitigate the interference generated due to multipath channels, by jointly optimize equalizer weights and power allocation for dual-hop MIMO relay networks with full/partial channel state information (CSI) knowledge. We then extend the design to a more general case in which the direct link between the source and the destination is taken into account. Furthermore, two relay selection algorithms based on the allocated power and the mean square error (MSE) performance are investigated for the two scenarios which attain a performance that is comparable to that of cases with brute-force search or without relay selection.

In second part of this dissertation, we extend relay selection algorithms based on the allocated power to a perturbation-based power allocation and multi-relay selection for further enhancement of performance of MIMO relay networks. In this approach, the relays are partitioned into two groups according to Lagrangian multipliers of power constraints. The power allocation for the relays is perturbed by increasing the power for the potential relay’s group, while decreasing the power of the relays in the other group. An optimization framework is then formulated as a trade-off between the relay selection and the mean square error (MSE) performance degradation.

A pricing-based approach is proposed in third part of this dissertation to achieve energy-efficient power allocation in relay-assisted multiuser networks. We consider a network price to the power consumption as a penalty for the achievable sum rate, and study its impact on the tradeoff between the energy efficiency (EE) and the spectral efficiency (SE). Due to non-convex nature of the original problem, it is It is hard to directly solve it, and thus a concave lower bound on the pricing-based utility is applied to transform the problem into a convex one. Through dual decomposition, a q-price algorithm is proposed for iteratively tightening the lower bound and finding the optimal solution. In addition, an optimal price that enables green power allocation is defined and found from the viewpoint of maximizing EE. Moreover, we also analyze the optimal power allocation strategies of the pricing-based approach in a two-user case under different noise operating regimes, yielding on-off, water-filling, and channel-reversal approaches. We then prolong this idea for two-way relay networks as in fourth part of this dissertation and propose a novel energy-efficient power allocation schemes to improve the EE in multiuser multi-carrier two-way relay networks which are able to not only balance the EE of the two-way links but also ensure the quality-of-service (QoS).

The last part of this dissertation is dedicated to the design of a novel joint source and relay transmit power allocation and energy transfer schemes to maximize the network sum rate within a deadline subject to energy causality and battery storage constraints. The non-convex sum rate optimization problem is transformed into a solvable convex optimization problem using a successive convex approximation for low-complexity (SCALE) algorithm. The effect of node′s battery capacity and energy harvesting profiles on the network sum rate maximization are investigated.摘要(英)Explosive growth in data rate put some serious challenges on wireless system designers and link budget planning. Low transmit power, system coverage and capacity, high data rates, spatial diversity and quality of services (QOS) are the key factors in future wireless communication system that made it attractive. Dual-hop relaying is the promising underlying technique for future wireless communications to address such dilemmas. The objective of this dissertation is to optimize the performance of dual-hop amplify-and-forward (AF) relay networks to enhance the energy and spectral efficiency.

Multiple-input multiple-output (MIMO) relays provide the high throughput of MIMO communication with the coverage extension capability of relay transmission. But one of the main limitations of MIMO relay network is effectively managing the intersymbol interference (ISI) and multiple antenna interference (MAI). In the first part of this dissertation, an equalize-and-forward (EF) relaying schemes are designed to efficiently mitigate the interference generated due to multipath channels, by jointly optimize equalizer weights and power allocation for dual-hop MIMO relay networks with full/partial channel state information (CSI) knowledge. We then extend the design to a more general case in which the direct link between the source and the destination is taken into account. Furthermore, two relay selection algorithms based on the allocated power and the mean square error (MSE) performance are investigated for the two scenarios which attain a performance that is comparable to that of cases with brute-force search or without relay selection.

In second part of this dissertation, we extend relay selection algorithms based on the allocated power to a perturbation-based power allocation and multi-relay selection for further enhancement of performance of MIMO relay networks. In this approach, the relays are partitioned into two groups according to Lagrangian multipliers of power constraints. The power allocation for the relays is perturbed by increasing the power for the potential relay’s group, while decreasing the power of the relays in the other group. An optimization framework is then formulated as a trade-off between the relay selection and the mean square error (MSE) performance degradation.

A pricing-based approach is proposed in third part of this dissertation to achieve energy-efficient power allocation in relay-assisted multiuser networks. We consider a network price to the power consumption as a penalty for the achievable sum rate, and study its impact on the tradeoff between the energy efficiency (EE) and the spectral efficiency (SE). Due to non-convex nature of the original problem, it is It is hard to directly solve it, and thus a concave lower bound on the pricing-based utility is applied to transform the problem into a convex one. Through dual decomposition, a q-price algorithm is proposed for iteratively tightening the lower bound and finding the optimal solution. In addition, an optimal price that enables green power allocation is defined and found from the viewpoint of maximizing EE. Moreover, we also analyze the optimal power allocation strategies of the pricing-based approach in a two-user case under different noise operating regimes, yielding on-off, water-filling, and channel-reversal approaches. We then prolong this idea for two-way relay networks as in fourth part of this dissertation and propose a novel energy-efficient power allocation schemes to improve the EE in multiuser multi-carrier two-way relay networks which are able to not only balance the EE of the two-way links but also ensure the quality-of-service (QoS).

The last part of this dissertation is dedicated to the design of a novel joint source and relay transmit power allocation and energy transfer schemes to maximize the network sum rate within a deadline subject to energy causality and battery storage constraints. The non-convex sum rate optimization problem is transformed into a solvable convex optimization problem using a successive convex approximation for low-complexity (SCALE) algorithm. The effect of node′s battery capacity and energy harvesting profiles on the network sum rate maximization are investigated.關鍵字(中)★ Energy-efficient

★ Relay networks

★ Resource allocations

★ Amplify-and-forward scheme關鍵字(英)論文目次Acknowledgement . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . i

Abstract . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ii

Declaration of Authorship . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . iii

Acronyms and Symbols . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . v

Contents . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . viii

List of Figures . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . xiv

List of Tables . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . xv

1 Introduction 1

1.1 Motivation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1

1.2 Overview: Cooperative Communication . . . . . . . . . . . . . . . . . . . . 3

1.2.1 Multiple Input Multiple Output Systems . . . . . . . . . . . . . . . 3

1.2.2 Two-Hop Relay Networks . . . . . . . . . . . . . . . . . . . . . . . 3

1.2.3 Relaying Protocols . . . . . . . . . . . . . . . . . . . . . . . . . . . 4

1.3 Dissertation Outline and Contributions . . . . . . . . . . . . . . . . . . . . 5

2 Joint Power Allocation, Equalization and Relay Selection for MIMO

Relay Networks with Multipath Receptions 8

2.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8

2.2 Preliminary: System Model . . . . . . . . . . . . . . . . . . . . . . . . . . 13

2.3 Scenario 1: TS Relay Equalizer Design with Full CSI . . . . . . . . . . . . 18

2.4 Scenario 2: TS Relay and Destination Equalizer Design with Backward CSI 22

2.4.1 Suboptimal TS Relay Equalizers . . . . . . . . . . . . . . . . . . . . 22

2.4.2 Suboptimal TS Destination Equalizer . . . . . . . . . . . . . . . . . 23

2.5 Extension to MIMO Relay Networks with Direct Link . . . . . . . . . . . . 25

2.5.1 Destination Equalizer for Direct Link in Scenario 1 . . . . . . . . . 26

2.5.2 Destination Equalizer for Direct Link in Scenario 2 . . . . . . . . . 27

2.6 Computational Complexity . . . . . . . . . . . . . . . . . . . . . . . . . . . 28

2.7 Relay Selection Algorithms . . . . . . . . . . . . . . . . . . . . . . . . . . . 29

2.8 Performance and Discussion . . . . . . . . . . . . . . . . . . . . . . . . . . 30

2.8.1 Simulation Parameters . . . . . . . . . . . . . . . . . . . . . . . . . 30

2.8.2 Simulation Results . . . . . . . . . . . . . . . . . . . . . . . . . . . 32

2.9 Conclusions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40

2.10 Appendix 2.A: Proof of Theorem 2.3.1 . . . . . . . . . . . . . . . . . . . . 41

3 Power Allocation and Relay Selection in Relay Networks: A Perturbation-

Based Approach 42

3.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42

3.2 Problem Formulation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45

3.2.1 System Model . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45

3.2.2 Optimization Problem . . . . . . . . . . . . . . . . . . . . . . . . . 46

3.3 Perturbation-based Power Allocation and Relay Selection . . . . . . . . . . 48

3.4 Performance Evaluation and Discussions . . . . . . . . . . . . . . . . . . . 51

3.5 Conclusion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54

4 Toward Green Power Allocation in Relay-Assisted Multiuser Networks:

A Pricing-Based Approach 55

4.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55

4.2 Relay-assisted Multiuser Network . . . . . . . . . . . . . . . . . . . . . . . 59

4.2.1 Signal Model . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59

4.2.2 Energy Consumption Model . . . . . . . . . . . . . . . . . . . . . . 63

4.3 Power Allocation and Pricing Solutions . . . . . . . . . . . . . . . . . . . . 64

4.3.1 Pricing-based Power Allocation Problem . . . . . . . . . . . . . . . 64

4.3.2 Optimal q-Price Power Allocation Algorithm . . . . . . . . . . . . . 66

4.3.3 Optimal Price q? for Achieving Energy-Ecient Transmission . . . 70

4.4 Analysis of Optimal Solutions for Two-User Cases . . . . . . . . . . . . . . 73

4.4.1 Interference-Dominated Regime . . . . . . . . . . . . . . . . . . . . 73

4.4.2 Relay Noise-Dominated Regime . . . . . . . . . . . . . . . . . . . . 74

4.4.3 Destination Noise-Dominated Regime . . . . . . . . . . . . . . . . . 75

4.5 Computer Simulations and Performance Discussions . . . . . . . . . . . . . 77

4.6 Conclusion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87

4.7 Appendix 4.B: Proof of Lemma 4.3.1 . . . . . . . . . . . . . . . . . . . . . 88

4.8 Appendix 4.C: Proof of Theorem 4.3.1 . . . . . . . . . . . . . . . . . . . . 89

4.9 Appendix 4.D: Proof of Theorem 4.3.2 . . . . . . . . . . . . . . . . . . . . 90

4.10 Appendix 4.E: Proof of Theorem 4.3.3 . . . . . . . . . . . . . . . . . . . . 91

4.11 Appendix 4.F: Proof of Theorem 4.3.4 . . . . . . . . . . . . . . . . . . . . 92

4.12 Appendix 4.G: Proof of Theorem 4.4.1 . . . . . . . . . . . . . . . . . . . . 92

4.13 Appendix 4.H: Proof of Theorem 4.4.2 . . . . . . . . . . . . . . . . . . . . 93

5 Joint QoS-Promising and EE-Balancing Power Allocation for Two-Way

Relay Networks 95

5.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 95

5.2 System Model . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 97

5.2.1 Signal Model . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 97

5.2.2 Power Consumption Model . . . . . . . . . . . . . . . . . . . . . . . 99

5.3 QoS-Promising and EE-Balancing Power Allocation . . . . . . . . . . . . . 100

5.3.1 Problem Formulation . . . . . . . . . . . . . . . . . . . . . . . . . . 100

5.3.2 Power Allocation Algorithm . . . . . . . . . . . . . . . . . . . . . . 102

5.4 Simulation Results . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 104

5.5 Conclusion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 105

6 Power Allocation and Transfer in SWIPT Amplify-and-Forward Relay

Networks with Energy Harvesting 107

6.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 107

6.2 System Model and Problem Formulation . . . . . . . . . . . . . . . . . . . 111

6.2.1 System Model . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 111

6.2.2 Optimization Problem Formulation . . . . . . . . . . . . . . . . . . 113

6.3 Transformation into Convex Optimization Problem . . . . . . . . . . . . . 115

6.4 Optimal Power Allocation Algorithm and Energy Transfer . . . . . . . . . 117

6.4.1 Subproblem Solution: Update of Ps, Pr and . . . . . . . . . . . . 118

6.4.2 Solution of the Master Dual Problem: Update of Lagrange Multipliers120

6.5 SPECIAL SCENARIOS . . . . . . . . . . . . . . . . . . . . . . . . . . . . 122

6.5.1 Source Battery Capacity Es;max = 1 . . . . . . . . . . . . . . . . . 123

6.5.2 Relay Battery Capacity Er;max = 1 . . . . . . . . . . . . . . . . . . 125

6.5.3 Source and Relay Battery Capacity Es;max = Er;max = 1 . . . . . . 126

6.6 Numerical Results . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 128

6.7 Conclusions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 135

6.8 Appendix 6.A: Proof of Lemma 6.5.1 . . . . . . . . . . . . . . . . . . . . . 136

6.9 Appendix 6.B: Proof of Theorem 6.5.1 . . . . . . . . . . . . . . . . . . . . 136

6.10 Appendix 6.C: Proof of Theorem 6.5.2 . . . . . . . . . . . . . . . . . . . . 138

6.11 Appendix 6.D: Proof of Theorem 6.5.5 . . . . . . . . . . . . . . . . . . . . 139

7 Conclusions And Future Directions 142

7.1 Conclusions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 142

7.2 Future Work . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 144

7.2.1 Energy-ecient . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 144

7.2.2 Green Energy Harvesting . . . . . . . . . . . . . . . . . . . . . . . . 145

Bibliography 146

8 Accepted/Submitted Papers 159參考文獻[1] A. J. Paulraj, D. A. Gore, R. U. Nadar, and H. Bolcskei, An overview of MIMO

communications - a key to gigabit wireless," Proc. IEEE, vol. 92, no. 2, pp. 198-218,

Feb. 2004.

[2] A. Goldsmith, S. A. Jafar, N. Jindal, and S. Vishwanath, Capacity limits of MIMO

channels," IEEE J. Sel. Areas Commun., vol. 21, no. 5, pp. 684-702, Jun. 2003.

[3] A. Sendonaris, E. Erkip, and B. Aazhang, User cooperation diversity, part I: system

description," IEEE Trans. Commun., vol. 51, no. 11, pp. 1927-1938, Nov. 2003.

[4] |||, User cooperation diversity, part II: implementation aspects and performance

analysis," IEEE Trans. Commun., vol. 51, no. 11, pp. 1939-1948, Nov. 2003.

[5] G. J. Foschini and M. Gans, On limits of wireless communications in a fading environment

when using multiple antennas," Wireless Personal Commun., vol. 6, no. 3,

pp. 311-335, Mar. 1998.

[6] J. N. Laneman, D. N. C. Tse, and G. W. Wornell, Cooperative diversity in wireless

networks: ecient protocols and outage behavior," IEEE Trans. Inf. Theory, vol. 50,

no. 12, pp. 3062-3080, Dec. 2004.

[7] G. Kramer, M. Gastpar, and P. Gupta, Cooperative strategies and capacity theorems

for relay networks," IEEE Trans. Inf. Theory, vol. 51, no. 9, pp. 3037-3063, Sep. 2005.

[8] M. Janani, A. Hedayat, T. E. Hunter, and A. Nosratinia, Coded cooperation in wireless

communications: space-time transmission and iterative decoding," IEEE Trans.

Signal Process., vol. 52, no. 2, pp. 362-371, Jan. 2004.

[9] Z. Yi and I. Kim, Joint optimization of relay-precoders and decoders with partial

channel side information in cooperative networks," IEEE J. Sel. Areas Commun., vol.

25, no. 2, pp. 447-458, Feb. 2007.

[10] X. Chengwen, M. Shaodan, and W. Yik-Chung, Robust joint design of linear relay

precoder and destination equalizer for dual-hop amplify-and-forward MIMO relay

systems," IEEE Trans. Signal Process., vol. 58, no. 4, pp. 2273-2283, Apr. 2010.

[11] Z. Hasan, H. Boostanimehr, V. K. Bhargava, Green cellular networks: a survey,

some research issues and challenges," IEEE Commun. Surveys Tuts., vol. 13, no. 4, pp.

524-540, Nov. 2011.

[12] C. Haihua, B. G. Alex, and S. Shahram, Filter-and-forward distributed beamforming

in relay networks with frequency selective fading," IEEE Trans. Signal Process., vol.

58, no. 3, pp. 1251-1262, Mar. 2010.

[13] C. Haihua, B. G. Alex, and S. Shahram, Filter-and-forward distributed beamforming

for two-way relay networks with frequency selective channels," IEEE Trans. Signal

Process., vol. 60, no. 4, pp. 1927-1941, Apr. 2012.

[14] Y. Liang, A. Ikhlef, W. Gerstacker, and R. Schober, Cooperative lter-and-forward

beamforming for frequency-selective channels with equalization ," IEEE Trans. Wireless

Commun., vol. 10, no. 1, pp. 228-239, Jan. 2011.

[15] Y. Liang, A. Ikhlef, W. Gerstacker, and R. Schober, Two-way lter-and-forward

beamforming for frequency-selective channels," IEEE Trans. Wireless Commun., vol.

10, no. 10, pp. 4172-4183, Dec. 2011.

[16] D. Neves, C. Ribeiro, A. Silva, and A. Gameiro, A time domain channel estimation

scheme for equalize-and-forward relay-assisted systems," in Proc. IEEE Vehicular

Technology Conference (VTC Fall), pp. 1-5, Sep. 2010.

[17] W. Su, A. K. Sadek, and K. J. Ray Liu, Cooperative communication protocols

in wireless networks: performance analysis and optimum power allocation," Wireless

Personal Commun., vol. 44, no. 2, pp. 181-217, Jan. 2008.

[18] M. R. Souryal and B. R. Vojcic, Performance of amplify-and-forward and decodeand-

forward relaying in Rayleigh fading with turbo codes," in Proc. IEEE International

Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 681-684, Mar.

2006.

[19] N. Abughalieh, K. Steenhaut, A. Nowe, and A. Anpalagan1, Turbo codes for multihop

wireless sensor networks with decode-and-forward mechanism," EURASIP J. Wire-

less Commun. and Netw., pp. 1-13, Nov. 2014.

[20] X. Tang and Y. Hua, Optimal design of non-regenerative MIMO wireless relays,"

IEEE Trans. Wireless Commun., vol. 6, no. 4, pp. 1393-1407, Apr. 2007.

[21] Z. Fang, Y. Hua, and J. C. Koshy, Joint source and relay optimization for a nonregenerative

MIMO relay," in Proc. IEEE Sensor Array and Multichannel Signal Pro-

cessing Workshop (SAM), pp. 239-243, Jul. 2006.

[22] O. Munoz-Medina , J. Vidal, and A. Agustin, Linear transceiver design in nonregenerative

MIMO relays with channel state information," IEEE Trans. Signal Pro-

cess., vol. 55, no. 6, pp. 2593-2604, Jun. 2007.

[23] Y. Rong, Non-regenerative multicarrier MIMO relay communications based on minimization

of mean-squared error," in Proc. IEEE International Conference on Commu-

nications (ICC), pp. 1-5, Jun. 2009.

[24] W. Guan and H. Luo, Joint MMSE transceiver design in non-regenerative MIMO

relays systems," IEEE Commun. Lett., vol. 12, no. 7, pp. 517-519, Jul. 2008.

[25] R. Mo and Y. H. Chew, MMSE-based joint source and relay precoding design for

amplify-and-forward MIMO relay networkss," IEEE Trans. Wireless Commun., vol. 8,

no. 8, pp. 4668-4676, Sep. 2009.

[26] P. Eunsung, L. Kyoung-Jae, and L. Inkyu, Joint MMSE transceiver design for

MIMO amplify-and-forward relay systems with multiple relays," in Proc. IEEE Ve-

hicular Technology Conference (VTC Fall), pp. 1-5, May 2009.

[27] C. B. Chae, T. Tang, R. W. Heath, and S. Chao, MIMO relaying with linear processing

for multiuser transmission in xed relay networks," IEEE Trans. Signal Process.,

vol. 56, no. 2, pp. 727-738, Feb. 2008.

[28] A. P. Miller, W. Stephan, and W. S. Robert, Precoder design for MIMO relay

networks with direct link and decision feedback equalisation," IEEE Commun. Lett.,

vol. 15, no. 10, pp. 1044-1046, Oct. 2011.

[29] R. Wang and M. Tao, Joint source and relay precoding designs for MIMO two-way

relaying based on MSE criterion," IEEE Trans. Signal Process., vol. 60, no. 3, pp.

1352-1365, Mar. 2012.

[30] A. S. Ibrahim, A. K. Sadek, S. Weifeng, and K. J. R. Liu, Cooperative communications

with relay selection: when to cooperate and whom to cooperate with?," IEEE

Trans. Wireless Commun., vol. 7, no. 7, pp. 2814-2827, Jul. 2008.

[31] Y. Jing and H. Jafarkhani, Single and multiple relay selection schemes and their

achievable diversity orders," IEEE Trans. Wireless Commun., vol. 8, no. 3, pp. 1414-

1423, Mar. 2009.

[32] B. K. Chalize and L. Vandenberghe, Joint optimization of multiple MIMO relays

for multi-point to multi-point communications in wireless networks," in Proc. IEEE

International Workshop on Signal Processing Advances in Wireless Communications

(SPAWC), pp. 479-483, Jun. 2009.

[33] Y. Fan and J. Thompson, MIMO congurations for relay channels: theory and practice,"

IEEE Trans. Wireless Commun., vol. 6, no. 5, pp. 1774-1786, May 2007.

[34] S. Boyd and L. Vandenberghe, Convex optimization," Cambridge, U.K.: Cambridge

Univ. Press, 2004.

[35] B. P. Kaare and S. P. Michael, The matrix cookbook,"

http://www.math.uwaterloo.ca/ hwolkowi/matrixcookbook.pdf, Nov. 2008.

[36] Y. Ma, Joint relay selection and power allocation for cooperative communication

over frequency selective fading channels," J. of Netw., vol. 7, no. 8, pp. 1295-1300, Aug.

2012.

[37] K. Singh, M.-L. Ku, and J.-C. Lin, Joint power allocation, equalization, and relay

selection for MIMO relay networks with multipath receptions," IEEE Trans. Veh.

Technol., Jul, 2015.

[38] T. T. Pham, H. H. Nguyen, and H. D. Tuan, Power allocation in MMSE relaying

over frequency-selective rayleigh fading channels," IEEE Trans. Commun., vol. 58, no.

11, pp. 3330-3343, Nov. 2010.

[39] J. Hu and T. M. Duman, Cooperation over frequency selective fading relay channels,"

IEEE Trans. Wireless Commun., vol. 7, no. 12, pp. 5072-5081, Dec. 2008.

[40] S. Sanayei and A. Nosratinia, Antenna selection in MIMO systems," IEEE Commun.

Magn., vol. 42, no. 10, pp. 68-73, Oct. 2004.

[41] E. Beres and R. Adve, Selection cooperation in multi-source cooperative networks,"

IEEE Trans. Wireless Commun., vol. 7, no. 1, pp. 118-127, Jan. 2008.

[42] Y. Zhao, R. Adve, and T. J. Lim, Improving amplify-and-forward relay networks:

optimal power allocation versus selection," IEEE Trans. Wireless Commun., vol. 6, no.

8, pp. 3114-3123, Aug. 2007.

[43] D. Michalopoulos and G. Karagiannidis, Performance analysis of single relay selection

in Rayleigh fading," IEEE Trans. Wireless Commun., vol. 7, no. 10, pp. 3718-3724,

Oct. 2008.

[44] S. Zhang and V. K. N. Lau, Multi-relay selection design and analysis for multistream

cooperative communications," IEEE Trans. Wireless Commun., vol. 10, no. 4,

pp. 1082-1089, Apr. 2011.

[45] W. Zhang and K. B. Letaief, Opportunistic relaying for dual-hop wireless MIMO

channels," in Proc. IEEE Global Communications Conference (GLOBECOM), New

Orleans, pp. 1-5, Dec. 2008.

[46] K. Singh, M.-L. Ku, and J.-C. Lin, A two-dimensional MMSE equalizer for MIMO

relay networks in multipath fading channels," in Proc. IEEE Wireless Communications

and Networking Conference (WCNC), pp. 3236-3241, Apr. 2013.

[47] ITU-R Recommendation M.1225, Guidelines for evaluation of radio transmission

technologies for IMT-2000," 1997.

[48] M. Chen and A. Yener, Power allocation for F/TDMA multiuser two-way relay

networks," IEEE Trans. Wireless Commun., vol. 9, no. 2, pp. 546-551, Feb. 2010.

[49] G. Ahmad, . S. Sidhu, F. Gao, W. Chen, and A. Nallanathan, A joint resource

allocation scheme for multiuser two-way relay networks," IEEE Trans. Commun., vol.

59, no. 11, pp. 2970-2975, Nov. 2011.

[50] H. Q. Ngo, E. G. Larsson, and T. L. Marzetta, Energy and spectral eciency of very

large multiuser MIMO systems," IEEE Trans. Commun., vol. 61, no. 4, pp. 1436-1449,

Apr. 2012.

[51] C. Jiang and L. J. Cimini, Energy-ecient transmission for MIMO interference

channels," IEEE Trans. Wireless Commun., vol. 12, no. 6, pp. 2988-2999, Jun. 2013.

[52] K. Singh, M.-L. Ku, and J.-C. Lin, Optimal Energy-Ecient Power Allocation for

Multiuser Relay Networks," in Proc. IEEE Vehicular Technology Conference (VTC

Spring), May 2014.

[53] C. Sun and C. Yang, Is two-way relay more ecient," in Proc. IEEE Global Com-

munications Conference (GLOBECOM), Houston, Texas, pp. 1-6, Dec. 2011.

[54] J. Joung and A. H. Sayed, Multiuser two-way amplify-and-forward relay processing

and power control methods for beamforming systems," IEEE Trans. Signal Process.,

vol. 58, no. 3, pp. 1833-1946, Mar. 2010.

[55] K. Singh, M.-L. Ku, and J.-C. Lin, Power Control for Achieving Energy-Ecient

Multiuser Two-Way Balancing Relay Networks," in Proc. IEEE International Confer-

ence on Acoustics, Speech, and Signal Processing (ICASSP), pp. 2749-2753, May 2014.

[56] K. Singh and M.-L. Ku, Toward Green Power Allocation in Relay-Assisted Multiuser

Networks: A Pricing-Based Approach," IEEE Trans. Wireless Commun., vol. 14, no.

5, pp. 2470-2486, May 2015.

[57] W. Dinkelbach, On nonlinear fractional programming," Management Science, vol.

13, no. 7, pp. 492-498, Mar. 1967.

[58] 3GPP, TR 36.819 (V9.0.0), Further advancement for E-UTRA physical layer aspects

(Release 9)," Mar. 2010.

[59] M. Pickavet, W. Vereecken, S. Demeyer, P. Audenaert, B. Vermeulen, C. Develder,

D. Colle, B. Dhoedt, and P. Demeester, Worldwide energy needs for ICT: the rise of

power-aware networking," in Proc. IEEE Advanced Networks and Telecommunication

Systems (ANTS), pp. 13, Dec. 2008.

[60] C. Han, T. Harrold, S. Armour, I. Krikidis, S. Videv, P. Grant, H. Haas, J. Thompson,

I. Ku, C.-X. Wang, T.A. Le, M. Nakhai, J. Zhang, and L. Hanzo, Green radio: radio

techniques to enable energy-ecient networks," IEEE Commun. Mag., vol. 49, no. 6,

pp. 46-54, Jun. 2011.

[61] G. Y. Li, Z. Xu, C. Xiong, C. Yang, S. Chang, Y. Chen, and S. Xu, Energy-ecient

wireless communications: tutorial, survey, and open issues," IEEE Wireless Commun.

Mag., vol. 18, no. 6, pp. 28-35, Dec. 2011.

[62] G. W. Miao, N. Himayat, and G. Y. Li, Energy-ecient link adaptation in

frequency-selective channels," IEEE Trans. Commun., vol. 58, no. 2, pp. 545-554, Feb.

2010.

[63] O. Arnold, F. Richter, G. Fettweis, and O. Blume, Power consumption modeling

of dierent base station types in heterogeneous cellular networks," in Proc. Future

Network & Mobile Summit (FNMS), pp. 1-8, Jun. 2010.

[64] K. T. Phan, T. Le-Ngoc, S. A. Vorobyov and C. Tellambura, Power allocation in

wireless multi-user relay networks," IEEE Trans. Wireless Commun., vol. 8, no. 5, pp.

2535-2545, May 2009.

[65] Y. Liu and A. P. Petropulu, QoS guarantees in AF relay networks with multiple

source-destination pairs in the presence of imperfect CSI," IEEE Trans. Wireless Com-

mun., vol. 12, no. 9, pp. 4225-4335, Sep. 2013.

[66] K. Vardhe, D. Reynolds, and B. D. Woerner, Joint power allocation and relay

selection for multiuser cooperative communication," IEEE Trans. Wireless Commun.,

vol. 9, no. 4, pp. 1255-1260, Apr. 2010.

[67] A. K. Sadek, Z. Han, and K. J. R. Liu, Distributed relay-assignment protocols for

coverage expansion in cooperative wireless networks," IEEE Trans. Mobile Comput.,

vol. 9, no. 4, pp. 505-515, Apr. 2010.

[68] M. F. Hossain, K. S. Munasinghe, and A. Jamalipour, An eco-inspired energy e-

cient access network architecture for next generation cellular systems," in Proc. IEEE

Wireless Communications and Networking Conference (WCNC), pp. 992-997, Mar.

2011.

[69] E. Kurniawan and A. Goldsmith, Optimizing cellular network architectures to minimize

energy consumption," in Proc. IEEE International Conference on Communica-

tions (ICC), pp. 6293-6297, Jun. 2012.

[70] Y. Xiao and L. J. Cimini, Energy eciency of distributed cooperative relaying," in

Proc. IEEE Military Communications Conference (MCC), pp. 73-78, Nov. 2011.

[71] Y. Yao, X. Cai, and G. B. Giannakis, On energy-eciency and optimum resource

allocation of relay transmissions in the low-power regime," IEEE Trans. Wireless Com-

mun., vol. 4, no. 6, pp. 2917-2927, Nov. 2005.

[72] S. Cui, A. J. Goldsmith, and A. Bahai, Energy-eciency of MIMO and cooperative

MIMO techniques in sensor networks," IEEE J. Sel. Areas Commun., vol. 22, no. 6,

pp. 1089-1098, Aug. 2004.

[73] V. S. Varma, S. Lasaulce, M. Debbah, and S. E. Elayoubi, An energy-ecient framework

for the analysis of MIMO slow fading channels," IEEE Trans. Signal Process., vol.

61, no. 10, pp. 2647-2659, May 2013.

[74] E. Bjornson, J. Hoydis, M. Kountouris, and M. Debbah, Massive MIMO Systems

with Non-Ideal Hardware: Energy Eciency, Estimation, and Capacity Limits," IEEE

Trans. Inf. Theory,, vol. pp, no. 99, Sep. 2014.

[75] G. Miao, N. Himayat, G. Y. Li, A. T. Koc, and S. Talwar, Distributed interferenceaware

energy-ecient power optimization," IEEE Trans. Wireless Commun., vol. 10,

no. 4, pp. 1323-1333, Apr. 2011.

[76] G. Miao, Energy-ecient uplink multi-user MIMO," IEEE Trans. Wireless Com-

mun., vol. 12, no. 5, pp. 2302-2313, May 2013.

[77] R. Devarajan, S. Jha, U. Phuyal, and V. Bhargava, Energy-aware resource allocation

for cooperative cellular network using multi-objective optimization approach," IEEE

Trans. Wireless Commun., vol. 11, no. 5, pp. 1797-1807, May 2012.

[78] H. Yu, R. Xiao, Y. Li, and Jing Wang, Energy-ecient multi-user relay networks,"

in Proc. International Conference on Wireless Communications and Signal Processing

(WCSP), pp. 1-5, Nov. 2011.

[79] D. W. K. Ng, E. S. Lo, and R. Schober, Energy-ecient resource allocation for

secure OFDMA systems," IEEE Trans. Veh. Technol., vol. 61, no. 4, pp. 2572-2585,

Jul. 2012.

[80] K. T. K. Cheung, S. Yang, and L. Hanzo, Achieving maximum energy-eciency

in multi-relay OFDMA cellular networks: A fractional programming approach," IEEE

Trans. Commun., vol. 61, no. 7, pp. 2746-2757, Jul. 2013.

[81] O. Edfors, M. Sandell, J. J. van de Beek, S. K. Wilson, and P. O. Borjesson, Analysis

of DFT-based channel estimators for OFDM," Wireless Personal Commun., vol. 12,

no. 1, pp. 55-70, Jan. 2000.

[82] M. Li, M. Lin, Q. Yu, W.-P. Zhu, and L. Dong, Optimal beamformer design for

dual-hop MIMO AF relay networks over Rayleigh fading channels," IEEE J. Sel. Areas

Commun., vol. 30, no. 8, pp. 1402-1414, Sep.. 2012.

[83] Q. Li, Q. Zhang, R. Feng, L. Luo, and J. Qin, Optimal relay selection and beamforming

in MIMO cognitive multi-relay networks," IEEE Commun. Lett., vol. 17, no.

6, pp. 1188-1191, Jun. 2013.

[84] D. Tse and P. Viswanath, Fundamentals of Wireless Communication," Cambridge

University Press, May 2005.

[85] P. Monti, S. Tombaz, L.Wosinska, and J. Zander, Mobile backhaul in heterogeneous

network deployments: Technology options and power consumption," in Proc. 14th In-

ternational Conference on Transparent Optical Networks (ICTON), pp. 1-7, Jul. 2012.

[86] M.-L. Ku, L.-C. Wang, and Y. T. Su, Toward optimal multiuser antenna beamforming

for hierarchical congnitive radio systems," IEEE Trans. Commun., vol. 60, no. 10,

pp. 2872-2885, Oct. 2012.

[87] S. Boyd, L. Xiao, A. Mutapcic, and J. Mattingley, Notes on decomposition methods,"

http://see.stanford.edu/materials/ lsocoee364b/08-decomposition notes.pdf,

Apr., 2008.

[88] A. Sard, Linear approximation," American Mathematical Society, 1963.

[89] Z. Hasan, H. Boostanimehr, and V. K. Bhargava, Green Cellular Networks: A

Survey, Some Research Issues and Challenges," IEEE J. Sel. Areas Commun., vol. 13,

no. 4, pp. 524-540, Nov. 2011.

[90] T. Han and N. Ansari, On greening cellular networks via multicell cooperation,"

IEEE Wireless Commun., vol. 20, no. 1, pp. 82-89, Feb. 2013.

[91] T. Han and N. Ansari, On Optimizing Green Energy Utilization for Cellular Networks

with Hybrid Energy Supplies," IEEE Trans. Wireless Commun., vol. 12, no. 8,

pp. 3872-3882, Aug. 2013.

[92] M. Gatzianas, L. Georgiadis, and I. Tassiulas, Control of wireless networks with

rechargeable batteries," IEEE Trans. Wireless Commun., vol. 9, no. 2, pp. 581-593,

Feb. 2010.

[93] S. Ulukus, A. Yener, E. Erkip, O. Simeone, M. Zorzi, P. Grover, and K. Huang,

Energy harvesting wireless communications: a review of recent advances," IEEE J.

Sel. Areas Commun., vol. 33, no. 3, pp. 360-381, Jan. 2015.

[94] J. Yang and S. Ulukus, Optimal packet scheduling in an energy harvesting communication

system," IEEE Trans. Commun., vol. 60, no. 1, pp. 220-230, Jan. 2012.

[95] K. Tutuncuoglu and A. Yener, Optimum transmission policies for battery limited

energy harvesting nodes," IEEE Trans. Wireless Commun., vol. 11, no. 3, pp. 1180-

1189, Mar. 2012.

[96] C. K. Ho and R. Zhang, Optimal energy allocation for wireless communications

with energy harvesting constraints," IEEE Trans. Signal Process., vol. 60, no. 9, pp.

4808-4818, Sep. 2012.

[97] O. Ozel, K. Tutuncuoglu, J. Yang, S. Ulukus, and A. Yener, Transmission with

energy harvesting nodes in fading wireless channels: optimal policies," IEEE J. Sel.

Areas Commun., vol. 29, no. 8, pp. 1732-1743, Sep. 2011.

[98] O. Ozel, J. Yang, and S. Ulukus, Optimal broadcast scheduling for an energy harvesting

rechargeable transmitter with a nite capacity battery," IEEE Wireless Com-

mun., vol. 11, no. 6, pp. 2193-2203, Jun. 2012.

[99] B. Gurakan, O. Ozel, J. Yang, and S. Ulukus, Energy cooperation in energy harvesting

communications," IEEE Trans. Commun., vol. 61, no. 12, pp. 4884-4898, Nov.

2013.

[100] A. A. Nasir, X. Zhou, S. Durrani, and R. A. Kennedy Relaying protocols for wireless

energy harvesting and information processing," IEEE Wireless Commun. Letters,

vol. 12, no. 7, pp. 3622-3636, Jul. 2013.

[101] Z. Ding, S. M. Perlaza, I. Esnaola, and H. V. Poor, Power allocation in energy

harvesting wireless cooperative networks," IEEE Trans. Wireless Commun., vol. 13,

no. 2, pp. 846-860, Jan. 2014.

[102] Z. Ding, S. M. Perlaza, I. Esnaola, and H. V. Poor, Power allocation strategies

in energy harvesting wireless cooperative networks," IEEE Trans. Wireless Commun.,

vol. 13, no. 2, pp. 3543-3553, Feb. 2014.

[103] B. Medepally and N. B. Mehta, Voluntary energy harvesting relays and selection

in cooperative wireless networks," IEEE Trans. Wireless Commun., vol. 9, no. 11, pp.

846-860, Nov. 2010.

[104] V. Raghunathan, S. Ganeriwal, and M. Srivastava, Emerging techniques for long

lived wireless sensor networks," IEEE Commun. Mag., vol. 44, no. 4, pp. 108-114, Apr.

2006.

[105] K. Huang and V. K. N. Lau, Enabling wireless power transfer in cellular networks:

architecture, modeling and deployment," IEEE Trans. Wireless Commun., vol. 13, no.

2, pp. 902-912, Jan. 2014.

[106] X. Zhou, R. Zhang, and C. K. Ho, Wireless information and power transfer: Architecture

design and rate-energy tradeo," IEEE Trans. Wireless Commun., vol. 61,

no. 11, pp. 4754-4767, Nov. 2013.

[107] L. R. Varshney, Transporting information and energy simultaneously," in Proc.

IEEE International Symposium on Information Theory (ISIT), Toronto, Canada, pp.

1612-1616, Jul. 2008.

[108] P. Grover and A. Sahai, Shannon meets Tesla: wireless information and power

transfer," in Proc. IEEE International Symposium on Information Theory (ISIT), pp.

2363-2367, Jun. 2010.

[109] R. Zhang and C. K. Ho, MIMO broadcasting for simultaneous wireless information

and power transfer," IEEE Trans. Wireless Commun., vol. 12, no. 5, pp. 1989-2001,

May 2013.

[110] K. Singh and K.-L. Ku, Toward green power allocation in relay-assisted multiuser

networks: a pricing-based approach," IEEE Trans. Wireless Commun., vol. 14, no. 5,

pp. 2470- 2486, May 2015.

[111] H. J. Visser and R. J. M. Vullers, RF energy harvesting and transport for wireless

sensor network applications: principles and requirements," in Proc. IEEE, vol. 101, no.

6, pp. 1410-1423, Jun. 2013.

[112] S. Percy, C. Knight, F. Cooray, and K. Smart, Supplying the power requirements

to a sensor network using radio frequency power transfer," Sensors, 12, no. 7, pp.

18571-8585, Jun. 2012.

[113] M. Y. Naderi, K. R. Chowdhury, and S. Basagni, Experimental study of concurrent

data and wireless energy transfer for sensor networks," in Proc. IEEE Global

Communications Conference ( GLOBECOM), Austin, TX, pp. 2543-2549, Dec. 2014.指導教授林嘉慶、古孟霖(Jia-Chin Lin Meng-Lin Ku) 審核日期2015-10-7 推文facebook plurk twitter funp google live udn HD myshare reddit netvibes friend youpush delicious baidu 網路書籤Google bookmarks del.icio.us hemidemi myshare