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    Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/106030


    Title: On Outage Probability for Two-Way Relay Networks with Stochastic Energy Harvesting
    Authors: 古孟霖;Li, Wei;Ku, Meng-Lin;Chen, Yan;Ray Liu, K. J.
    Contributors: 資訊電機學院通訊工程學系
    Keywords: amplify-and-forward;Batteries;decode-and-forward;Fading channels;Markov decision process;outage probability;Protocols;Relay networks (telecommunications);Stochastic energy harvesting;Stochastic processes;two-way relay network;Wireless communication
    Date: 2016-05-01
    Issue Date: 2026-04-23 13:04:37 (UTC+8)
    Publisher: Institute of Electrical and Electronics Engineers Inc.;New York: IEEE
    Abstract: 摘要: In this paper, we propose an optimal relay transmission policy by using a stochastic energy harvesting (EH) model for the EH two-way relay network, wherein the relay is solar-powered and equipped with a finite-sized battery. In this policy, the long-term average outage probability is minimized by adapting the relay transmission power to the wireless channel states, battery energy amount, and causal solar energy states. The designed problem is formulated as a Markov decision process (MDP) framework, and conditional outage probabilities for both decode-and-forward (DF) and amplify-and-forward (AF) cooperation protocols are adopted as the reward functions. We uncover a monotonic and bounded differential structure for the expected total discounted reward, and prove that such an optimal transmission policy has a threshold structure with respect to the battery energy amount in sufficiently high SNRs. Finally, the outage probability performance is analyzed and an interesting saturated structure for the outage performance is revealed, i.e., the expected outage probability converges to the battery empty probability in high SNR regimes, instead of going to zero. Furthermore, we propose a saturation-free condition that can guarantee a zero outage probability in high SNRs. Computer simulations confirm our theoretical analysis and show that our proposed optimal transmission policy outperforms other compared policies.
    其他題名: TCOMM
    出版者: New York: IEEE
    出版日期: 2016-05
    出處: IEEE transactions on communications, 2016-05, Vol.64 (5), p.1901-1915
    資源來源: IEEE Xplore Digital Library
    版權: Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2016
    識別號: ISSN: 0090-6778
    識別號: EISSN: 1558-0857
    識別號: DOI: 10.1109/TCOMM.2016.2547954
    識別號: CODEN: IECMBT
    Appears in Collections:[Department of Communication Engineering] journal & Dissertation

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