Title :
Asymptotic coverage and rate in massive MIMO networks
Author :
Tianyang Bai ; Heath, Robert W.
Author_Institution :
Wireless Networking & Commun. Group, Univ. of Texas at Austin, Austin, TX, USA
Abstract :
Massive multiple-input multiple-output (MIMO) is a transmission technique for cellular systems that uses many antennas to support not-as-many users. In this paper, we analyze its performance in large-scale cellular networks with Poisson distributed base station locations. Our analysis incorporates the spatial correlation due to small-scale fading at base station antennas. Numerical results show that, though limited by pilot contamination, massive MIMO is still promising to provide high cell throughput by serving large number of users simultaneously.
Keywords :
MIMO communication; Poisson distribution; antennas; cellular radio; correlation methods; fading; Poisson distributed base station antenna locations; asymptotic coverage; asymptotic rate; high cell throughput; large-scale cellular networks systems; massive MIMO networks; massive multiple-input multiple-output networks; pilot contamination; small-scale fading; spatial correlation; transmission technique; Antennas; Channel estimation; Contamination; Downlink; Fading; MIMO; Uplink;
Conference_Titel :
Signal and Information Processing (GlobalSIP), 2014 IEEE Global Conference on
Conference_Location :
Atlanta, GA
DOI :
10.1109/GlobalSIP.2014.7032188