Title :
Performance analysis of variable-power adaptive modulation with antenna selection over Rayleigh fading channels
Author :
Yu, Xiang-Bin ; Leung, S.-H. ; Wong, Weng-Keen
Author_Institution :
Dept. of Electron. Eng., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
Abstract :
The performance of multi-input multi-output (MIMO) systems with variable-power (VP) adaptive modulation (AM) and antenna selection (AS) over Rayleigh fading channels for both perfect and imperfect channel state information (CSI) is presented. In this study, the optimum fading gain switching thresholds for attaining maximum spectrum efficiency (SE) subject to a target bit error rate (BER) and an average power constraint are derived. It is shown that the Lagrange multiplier in the constrained SE optimisation is unique if the existence conditions for MIMO systems with transmit AS and receive maximal-ratio combining under perfect or imperfect CSI are satisfied. By using the switching thresholds, we obtain closed-form expressions of the SE and average BER for VP and constant-power (CP) systems. Simulation results for SE and BER are in good agreement with the theoretical analysis. The results show that the VP-AM system using AS with the derived VP control scheme provides better SE than the CP counterpart and the VP-AM system with space-time coding and can fulfil the target BER for different signal-to-noise ratios (SNRs).
Keywords :
MIMO communication; Rayleigh channels; adaptive modulation; antennas; diversity reception; error statistics; optimisation; space-time codes; AS; BER performance; CP system; CSI; Lagrange multiplier; MIMO system; Rayleigh fading channel; VP control scheme; VP-AM system; antenna selection; average power constraint; bit error rate performance; channel state information; closed- form expression; constant-power system; constrained SE optimisation; maximal-ratio combining; maximum spectrum efficiency; multiinput multioutput system; optimum fading gain switching threshold; performance analysis; signal-to-noise ratio; space-time coding; variable-power adaptive modulation;
Journal_Title :
Communications, IET
DOI :
10.1049/iet-com.2010.0681