Title :
Asymptotically optimal power allocation for massive MIMO uplink
Author :
Khansefid, Amin ; Minn, Hlaing
Author_Institution :
Dept. of EE, Univ. of Texas at Dallas, Richardson, TX, USA
Abstract :
This paper considers massive MIMO uplink using maximum ratio combining (MRC) and zero forcing (ZF) receivers with perfect and imperfect channel state information (CSI). We develop pilot and data power allocation strategies among users under peak power constraint and prove their asymptotic optimality in maximizing the sum-rate lower bound. Then we investigate the optimal amount of pilot symbols. Analytical and simulation results illustrate the performance gain of the proposed power allocation, and the impact of pilot overhead on sum-rate.
Keywords :
MIMO communication; diversity reception; CSI; MRC; ZF receivers; asymptotically optimal power allocation; data power allocation strategy; imperfect channel state information; massive MIMO uplink; maximum ratio combining; peak power constraint; perfect channel state information; pilot allocation strategy; pilot symbols; sum-rate lower bound; zero forcing receivers; Antennas; Interference; MIMO; Optimization; Receivers; Resource management; Signal to noise ratio; Massive MIMO; Power allocation; Sum rate;
Conference_Titel :
Signal and Information Processing (GlobalSIP), 2014 IEEE Global Conference on
Conference_Location :
Atlanta, GA
DOI :
10.1109/GlobalSIP.2014.7032193
