ZHOU Zhikang and ZHU Qi, “Time-Efficient Power Allocation Scheme for Two-Way Multi-relay Cognitive Radio Networks,” Chinese Journal of Electronics, vol. 25, no. 2, pp. 357-363, 2016, doi: 10.1049/cje.2016.03.024
Citation: ZHOU Zhikang and ZHU Qi, “Time-Efficient Power Allocation Scheme for Two-Way Multi-relay Cognitive Radio Networks,” Chinese Journal of Electronics, vol. 25, no. 2, pp. 357-363, 2016, doi: 10.1049/cje.2016.03.024

Time-Efficient Power Allocation Scheme for Two-Way Multi-relay Cognitive Radio Networks

doi: 10.1049/cje.2016.03.024
Funds:  This work is supported by National Natural Science Foundation of China (No.61171094), National Basic Research Program of China (973 program) (No.2013CB329005), 863 Program (No.2014AA01A705), and Key Project of Jiangsu Provincial Natural Science Foundation (No.BK2011027).
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  • Corresponding author: ZHU Qi (corresponding author) was born in Suzhou, Jiangsu, China, in 1965. She received the M.S. degree in radio engineering from Nanjing University of Posts and Telecommunications in 1989. Now she is a professor in the Department of Telecommunication and Information Engineering, Nanjing University of Posts and Telecommunications, Jiangsu, China. Her research interests include technology of next generation communication, broadband wireless access, OFDM, channel and source coding, dynamic allocation of radio resources. (Email:zhuqi@njupt.edu.cn)
  • Received Date: 2014-03-10
  • Rev Recd Date: 2014-08-26
  • Publish Date: 2016-03-10
  • Cooperative relaying has been emerging as a key technology in Cognitive radio (CR) networks. A two-way Amplify-and-forward (AF) based multi-relay CR network is considered, where a primary user coexists with a pair of secondary users and multiple relays. A Timeefficient sub-optimal power allocation scheme (TESOPA) based on Cauchy-Schwarz inequality is provided to maximize the total end-to-end transmission rate of the secondary system. TESOPA is proposed under maximal transmission power constraints, while ensuring the quality of service of the primary user during the whole communication process. The computational complexity is sharply decreased by using the Cauchy-Schwarz inequality. Simulation results show that the proposed TESOPA scheme performs very close to the near-optimal Interior point method based power allocation (IPMPA), especially in interference dominant networks where interference constraints play a key role in determining power allocation results instead of maximal transmission power constraints.
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