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Volume 38 Issue 9
Sep.  2016
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LEI Weijia, YANG Xiaoyan, JIANG Xue, XIE Xianzhong. Secrecy Rate Optimization for Single Antenna Two-hop Relay System in Energy-saving-then-transmitting Mode[J]. Journal of Electronics & Information Technology, 2016, 38(9): 2233-2240. doi: 10.11999/JEIJ151371
Citation: LEI Weijia, YANG Xiaoyan, JIANG Xue, XIE Xianzhong. Secrecy Rate Optimization for Single Antenna Two-hop Relay System in Energy-saving-then-transmitting Mode[J]. Journal of Electronics & Information Technology, 2016, 38(9): 2233-2240. doi: 10.11999/JEIJ151371

Secrecy Rate Optimization for Single Antenna Two-hop Relay System in Energy-saving-then-transmitting Mode

doi: 10.11999/JEIJ151371
Funds:

The National Natural Science Foundation of China (61471076, 61301123), The Program for Changjiang Scholars and Innovative Research Team in University (IRT1299), The Special Fund of Chongqing Key Laboratory

  • Received Date: 2015-12-08
  • Rev Recd Date: 2016-05-10
  • Publish Date: 2016-09-19
  • A physical layer security transmission protocol in a two-hop relay system is studied. All nodes are equipped with an antenna and have the ability of energy harvesting. There are direct links between the source node and the eavesdropper as well as the relay node and the eavesdropper. Each transmission time slot is divided into two stages, which are respectively used for energy harvesting and data transmitting. The energy harvested is used to send data. The amplify-and-forward protocol is adopted, and the destination node sends artificial noise to protect the information transmitted in the first and second hop. To maximize the secrecy rate, iterative algorithm is used to optimize two variables of the time for energy harvesting and the power of artificial noise. Simulation results show that the optimization algorithm is accurate and the cooperative jamming can effectively improve the secrecy rate. Considering that eavesdropper can intercept the information transmitted in the two hops, the proposed scheme is more practical and can solve a complicate optimization problem.
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