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Volume 43 Issue 10
Oct.  2021
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Yi LUO, Jingtian KONG, Jian DONG, Qingqing SHE, Hui HUANG, Zhengyu HUANG. Outage Performance Analysis and Optimization of Energy Harvesting Cognitive Multihop Relay Networks[J]. Journal of Electronics & Information Technology, 2021, 43(10): 2920-2927. doi: 10.11999/JEIT200702
Citation: Yi LUO, Jingtian KONG, Jian DONG, Qingqing SHE, Hui HUANG, Zhengyu HUANG. Outage Performance Analysis and Optimization of Energy Harvesting Cognitive Multihop Relay Networks[J]. Journal of Electronics & Information Technology, 2021, 43(10): 2920-2927. doi: 10.11999/JEIT200702

Outage Performance Analysis and Optimization of Energy Harvesting Cognitive Multihop Relay Networks

doi: 10.11999/JEIT200702
Funds:  The National Natural Science Foundation of China (61971450), The Hunan Provincial Science and Technology Project Foundation (2018TP1018), The Natural Science Foundation of Hunan Province (2018JJ2533)
  • Received Date: 2020-08-10
  • Rev Recd Date: 2021-02-05
  • Available Online: 2021-03-22
  • Publish Date: 2021-10-18
  • Considering the problems of multihop relay transmission in energy harvesting cognitive radio networks, a novel Power Beacon (PB) assisted energy harvesting cognitive multihop relay network model with primary network interference is proposed, and a one-way transmission scheme is proposed. In the scenario of interference link statistical channel state information, the closed-form formulas of exact and asymptotic total outage probability are derived. In view of the complexity and nonconvexity of the exact total outage probability expression, the Adaptive Chaos Particle Swarm Optimization (ACPSO) algorithm is used to optimize the total outage performance of the secondary network. Simulation results show that the parameters such as PB’s power, interference constraint, number of secondary network hops, energy harvesting ratio, the number of primary receivers and channel capacity threshold have significant impacts on outage performance, the proposed algorithm can quickly and effectively optimize the network outage performance.
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