Title :
MIMO capacity under power amplifiers consumed power and per-antenna radiated power constraints
Author :
Cheng, Hei Victor ; Persson, Daniel ; Larsson, Erik G.
Author_Institution :
Dept. of Electr. Eng., Linkoping Univ., Linkoping, Sweden
Abstract :
We investigate the capacity of the multiple-input-multiple-output channel taking into account the consumed power in the power amplifiers. The mutual information is optimized with a limitation of total consumed power and per-antenna radiated power for a fixed channel with full channel state information at both the transmitter and receiver. The capacity is thus obtained by optimizing the input distribution to maximize the mutual information. Since the optimization problem is non-convex, direct computation of the capacity suffers from high computational complexity. Hence upper and lower bounds on the capacity are given as benchmarks for different ad-hoc schemes. An efficient suboptimal algorithm is also presented. Numerical results show that the suboptimal algorithm performs close to the capacity.
Keywords :
MIMO communication; computational complexity; optimisation; radio receivers; radio transmitters; telecommunication channels; MIMO capacity; ad-hoc schemes; algorithm; channel state information; computational complexity; multiple-input multiple-output channel; optimization problem; per-antenna radiated power constraints; power amplifiers; receiver; suboptimal algorithm; transmitter; Antennas; MIMO; Optimization; Resource management; Signal processing algorithms; Signal to noise ratio; Wireless communication; MIMO capacity; consumed power constraint; per-antenna power constraint; power amplifier;
Conference_Titel :
Signal Processing Advances in Wireless Communications (SPAWC), 2014 IEEE 15th International Workshop on
Conference_Location :
Toronto, ON
DOI :
10.1109/SPAWC.2014.6941397