Performance Analysis for Two-Way Network-Coded Dual-Relay Networks With Stochastic Energy Harvesting
Performance Analysis for Two-Way Network-Coded Dual-Relay Networks With Stochastic Energy Harvesting
复制标题
具有随机能量收集的双向网络编码双中继网络的性能分析
DOI:
10.1109/twc.2017.2715175
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发表时间:
2017-06
影响因子:
10.4
通讯作者:
Zhu Shihua
中科院分区:
文献类型:
--
作者:
Li Wei;Ku Meng-Lin;Chen Yan;Liu K. J. Ray;Zhu Shihua
In this paper, we consider an energy harvesting (EH) two-way (TW) dual-relay network, including one non-EH relay and one EH relay equipped with a finite-sized battery. In the network, a space-time transmission protocol with space-time network coding is designed, and an optimal transmission policy for the EH relay is proposed by using a stochastic solar EH model. In this optimal policy, the long-term paired-wise error probability (PEP) of the system is minimized by adapting the EH relay’s transmission power to the knowledge of its current battery energy, channel fading status, and causal solar EH information. The designed problem is formulated as a Markov decision process framework, and the conditional capability of the contribution to PEP by the EH relay is adopted as the reward function. We uncover a monotonic and limited difference structure for the expected total discounted reward. Furthermore, a non-conservative property and a monotonic structure of the optimal policy are revealed. Based on the optimal policy and its special structures, the expectation, lower and upper bounds, and asymptotic approximation of the PEP are computed and an interesting result on the system diversity performance is revealed, i.e., the full diversity order can be achieved only if the EH capability index, a metric to quantify the EH node’s capability of harvesting and storing energy, approaches to infinity; otherwise, the EH diversity order is only equal to one, and the coding gain of the network is increasing with the EH capability index at this time. Furthermore, a full diversity criterion for the EH TW dual-relay network is proposed. Finally, computer simulations confirm our theoretical analysis and show that our proposed optimal policy outperforms other compared policies.
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影响因子:
8.3
作者:
Tao Wang;L. Vandendorpe
通讯作者:
Tao Wang;L. Vandendorpe
DOI:
10.1109/globalsip.2013.6736886
发表时间:
2013-12
期刊:
2013 IEEE Global Conference on Signal and Information Processing
影响因子:
--
作者:
Imtiaz Ahmed;A. Ikhlef;D. W. K. Ng;R. Schober
通讯作者:
Imtiaz Ahmed;A. Ikhlef;D. W. K. Ng;R. Schober
影响因子:
16.4
作者:
Burak Varan;A. Yener
通讯作者:
Burak Varan;A. Yener
DOI:
10.1109/globalsip.2014.7032093
发表时间:
2014-12
期刊:
2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP)
影响因子:
--
作者:
Wei Li;Meng-Lin Ku;Yan Chen;K. Liu
通讯作者:
Wei Li;Meng-Lin Ku;Yan Chen;K. Liu
影响因子:
16.4
作者:
Rankov, Boris;Wittneben, Armin
通讯作者:
Wittneben, Armin