The authors study the performance of wireless bidirectional relay-assisted networks in the presence of imperfect channel state information, where two end-source terminals S-1 and S-2 communicate with the assistance of M relay terminals R-j's. The max-min relay selection criterion is used to select the best relay that maximises the minimum signal-to-noise ratio of the links S-1 -> R-j -> S-2 and S-2 -> R-j -> S-1 over all relay terminals. The authors investigate the impact of imperfect channel estimation on the outage probability P-out of the system by means of the correlation coefficient rho(Si) of the estimated channel gains and their actual values. Furthermore, the authors show that in a bidirectional relay-assisted network neither of the links S-1 -> R-j -> S-2 and S-2 -> R-j -> S-1 dominates the performance of the system. Instead, the performance is determined by the average performance of the two links, based on that the authors then discuss the power allocation in such networks. The authors demonstrate that in order to minimise P-out of the entire system, increasing the transmission power of the link with better estimation cannot compensate for the effect of the worse link and therefore the optimum power allocation with the least complexity is to transmit at each source terminals S-1 and S-2 with equal powers. Numerical results are also presented to corroborate the analytical expressions.
机构:
School of Information Science and Technology, Southwest Jiaotong UniversitySchool of Information Science and Technology, Southwest Jiaotong University
Meng Shen
Zihao Huang
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机构:
School of Information Science and Technology, Southwest Jiaotong UniversitySchool of Information Science and Technology, Southwest Jiaotong University
Zihao Huang
Xianfu Lei
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机构:
School of Information Science and Technology, Southwest Jiaotong UniversitySchool of Information Science and Technology, Southwest Jiaotong University
Xianfu Lei
Lisheng Fan
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机构:
School of Computer Science, Guangzhou UniversitySchool of Information Science and Technology, Southwest Jiaotong University