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姓名 黃建維(jian-wei huang) 查詢紙本館藏 畢業系所 通訊工程學系 論文名稱 感知網路可調性無線資源管理
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摘要(中) 隨著無線網路的蓬勃發展,在有限的頻譜資源裡,如何分配這些頻譜資源是現在無線通訊系統的關鍵問題。所以在這裡討論的議題是在感知網路系統裡利用正交分頻多工存取(Orthogonal Frequency-Division Multiple Access, OFDMA) 技術做無線資源的指配。在符合受權使用者的干擾溫度限制情況所以在多個感知使用者的感知網路裡,調整分配的頻率、功率大小和使用者傳輸率滿足使用者要需求,且符合受權使用者的干擾溫度限制條件。此外現在的通訊系統中將是以多訊務類別為主,對於不同型的訊務其所要求的QoS服務品質亦不相同。因此在我的OFDMA感知網路系統架裡,通道品質和服務品質保證也是最主要考量的因素。而這樣的資源指配問題是個非線性最佳化問題,所以我們利用演算法的方式來解決這問題。而透過無線資源分配演算法的模擬結果,得到一組最佳解,並且在使用者延遲時間能符合其訊務要求情況下,讓系統的傳輸量是最佳的。
摘要(英) With the rapid growth of wireless network, to efficient utilization of radio resource in the limitation of spectrum is the key question of wireless communication system. The problem of wireless resource management in broadband cognitive OFDMA (Orthogonal Frequency-Division Multiple Access) is addressed. The objective of resource management is to satisfy the multiple cognitive users’ demands by jointly adjusting their rate, frequency and power resource, under the constraints of multiple primary users’ interference temperature. In addition, the communication system will support various traffic services. Each traffic service needs different levels of QoS. Therefore, channel condition, QoS guarantee are also the main considerations in our cognitive OFDMA system. The problem is formulated as a single objective nonlinear optimization problem using techniques from goal algorithm. The paper proposes the distributed resource algorithm and simulation results are obtained in order to verify the delay guarantee for different traffic types and the near optimal transmission rates.
關鍵字(中) ★ 服務品質(QoS)
★ 正交分頻多工存取(OFDMA)
★ 資源管理
★ 感知無線電(CR)關鍵字(英) ★ Quality of service (QoS)
★ Orthogonal Frequency Division Multiple Access (O
★ Resource Management
★ Cognitive Radio(CR)論文目次 目錄
摘要................................I
Abstract............................II
誌謝...............................III
目錄................................IV
圖目錄..............................VI
表目錄............................VIII
第一章 序論..........................1
1.1. 前言..........................1
1.2. 研究動機......................2
1.3. 論文架構......................3
第二章 相關背景及研究................4
2.1. 感知網路介紹..................4
2.2. 干擾溫度模型介紹..............7
2.3. 正交分頻多工存取.............12
2.4. 無線電資源管理...............14
2.5 訊務類型.....................15
2.6 資源配置方法.................16
第三章 系統架構及資源管理之描述.....23
3.1 感知網路架構.................23
3.2 通道狀況.....................27
3.3 問題公式化...................29
3.4 無線資源配置演算法...........31
第四章 模擬及數據討論...............44
4.1 通道模型.....................44
4.2 模擬環境參數.................46
4.3 分析數據.....................52
第五章 結論.........................68
參考文獻............................69
圖目錄
圖2-1頻譜的使用狀沿.....................................5
圖2-2 一般干擾溫度模型..................................10
圖2-3 理想干擾溫度模型..................................12
圖2-4 MSR子載波分配方式.................................18
圖2-5 PF子載波分配方式..................................19
圖3-1 OFDMA-感知網路系統架構............................24
圖3-2 感知網路系統單細胞................................25
圖3-3 感知網路系統傳輸資料程序..........................26
圖3-4 使用者的通道狀況..................................28
圖3-5 Original演算法流程................................31
圖3-6 Proposed演算法流程................................37
圖4-1 通道模型..........................................44
圖4-2 不同使用者的通道狀況..............................46
圖4-3 不同負載通道狀況較好使用者的延遲狀況..............54
圖4-4 不同負載通道狀況較差使用者的延遲狀況..............54
圖4-5 不同負載所有使用者的延遲狀況......................55
圖4-6 子載波限制通道品質最好的使用者的平均遲延狀況......56
圖4-7 子載波限制通道品質最差的使用者的平均遲延狀況......57
圖4-8 VoIP使用者數目增加VoIP使用者延遲的狀況...........59
圖4-9 VoIP使用者數目增加Video使用者延遲的狀況..........60
圖4-10 VoIP使用者數目增加Best Effort使用者傳輸量的狀況..60
圖4-11 VoIP使用者數目增加系統全部傳輸量的狀況...........61
圖4-12 Video使用者數目增加VoIP使用者延遲的狀況..........63
圖4-13 Video使用者數目增加延遲的狀況....................63
圖4-14 Video使用者數目增加Best Effort使用者傳輸量的狀況.64
圖4-15 Video使用者數目系統全部傳輸量的狀況..............64
圖4-16 Best Effort使用者數目增加VoIP使用者延遲的狀況....66
圖4-17 Best Effort使用者數目增加Video使用者延遲的狀況 ...66
圖4-18 Best Effort使用者數目增加Best Effort使用者傳輸量情況.....67
圖4-19 Best Effort使用者數目系統全部傳輸量的狀況........67
表目錄
表 4-1 實體層參數........................47
表 4-2 SNR與調變機制對照圖...............48
表 4-3 VoIP參數表........................49
表4-4 Video參數表........................50
表4-5 Best Effort參數表..................50
表4-6 MLWDF權重參數......................51
參考文獻 [1] S Haykin, “Cognitive Radio: Brain-Empowered Wireless Communications,”IEEE J. Selet. Areas Commun., vol.23, pp. 201-220, Feb. 2005.
[2] P. Demestichas, G. Dimitrakopoulos, J. Strassner, and D. Bourse, “Introducing reconfigurability and cognitive networks concepts in the wireless world”, IEEE Vehicular Technology Magazine June 2006
[3] P. Cheng, Z. Zhang, H.-H. Chen, P. Qiu. “Optimal distributed joint frequency, rate and power allocation in cognitive OFDMA systems”, Published in IET Communications ,Revised on 6th February 2008.
[4] Qianxi Lu, Wei Wang, Tao Peng, Wenbo Wang. “Efficient Multiuser Water-filling Algorithm under Interference Temperature Constraints in OFDMA-based Cognitive Radio Networks” ,IEEE 2007 International Symposium on Microwave, Antenna, Propagation, and EMC Technologies For Wireless Communications
[5] Minki Hong, Jaewoon Kim, Hyunwook Kim, and Yoan Shin. “An Adaptive Transmission Scheme for Cognitive RadioSystems Based on Interference Temperature Model ”, IEEE CCNC 2008.
[6] Patrick Mitran, Long Le, Catherine Rosenberg, and Andr´e Girard. “Resource Allocation for Downlink Spectrum Sharing in Cognitive Radio Networks ”, IEEE Vehicular Technology Conference 2008.
[7] R Wang, VKN Lau - ece.ust.hk. “Joint Cross-Layer Scheduling and Spectrum Sensing for OFDMA Cognitive Radio Systems ”, ece.ust.hk.
[8] 周建銘. “【技術專欄】感知無線網路 ”, 工研院資通所.
[9] CLANCY T.: ‘Formalizing the interference temperaturemodel’, Wirel. Commun. Mob. Comput., 2007, 7, (9),pp. 1077–1086
[10] Federal Communications Commission, “Establishment of interferencetemperature metric to quantify and manage interference and to expandavailable unlicensed operation in certain fixed mobile and satellitefrequency bands,” ET Docket 03-289, Notice of Inquiry and ProposedRulemaking, 2003.
[11] X Liu, EKP Chong, NB Shroff - A framework for opportunistic scheduling in wireless networks -Computer Networks, 2003,On page(s): 474-451
[12] JM Holtzman, Q Inc, CA San Diego - Asymptotic analysis of proportional fair algorithm- Personal, Indoor and Mobile Radio Communications (IEEEPIMRC), 2001 ,On page(s): F-33-F-37 vol.2
[13] M Andrews, K Kumaran, K Ramanan, A Stolyar, “S scheduling in a queuing system with asynchronously varying service pates" Probability in the Engineering and Informational Sciences, 2004 – CambridgeUnivPress On page(s): 191-217
[14] G Song. “Cross-Layer resource allocation and scheduling in wireless multicarrier networks ”, 2005 - smartech.gatech.edu
[15] W Ajib, D Haccoun An overview of scheduling algorithms in MIMO-based fourth-generation wireless systems- Network, IEEE, 2005, On page(s):43-48
[16] Teo Choon Heng Alen, A. S. Madhukumar, and Francious Chin. “Capacity Enhancement of a Multi-User OFDMA System Using Dynamic Frequency Allocation ”, IEEE JNL 2003, pp.1866-1870
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