Title :
Asymptotic SINR for millimeter wave massive MIMO cellular networks
Author :
Tianyang Bai ; Heath, Robert W.
Author_Institution :
Wireless Networking & Commun. Group, Univ. of Texas at Austin, Austin, TX, USA
fDate :
June 28 2015-July 1 2015
Abstract :
Thanks to the small wavelength at millimeter wave (mmWave) frequency, it is promising to combine massive multiple-input and multiple-output (MIMO) with mmWave. MmWave massive MIMO will differ from the conventional massive MIMO, due to the differences in propagation and hardware constraints. This paper proposes a stochastic geometry framework for evaluating the performance in large-scale mmWave massive MIMO networks. Based on the system model, analytical expressions are provided for the asymptotic signal-to-interference-plus-noise ratio (SINR) distributions in both uplink and downlink, when the number of base station antennas goes to infinity. Numerical results indicate a fast convergence in the SINR distribution to its asymptotic equivalence in dense mmWave networks. A comparison with conventional massive MIMO shows that mmWave massive MIMO achieves a higher cell throughput with sufficiently dense deployments.
Keywords :
MIMO communication; cellular radio; millimetre wave antenna arrays; radiofrequency interference; MM-wave massive MIMO cellular network; asymptotic SINR; asymptotic equivalence; asymptotic signal-to-interference-plus-noise ratio distribution; base station antenna; millimeter wave massive MIMO cellular network; multiple input multiple output network; stochastic geometry framework; Array signal processing; Base stations; Downlink; Interference; MIMO; Signal to noise ratio; Uplink;
Conference_Titel :
Signal Processing Advances in Wireless Communications (SPAWC), 2015 IEEE 16th International Workshop on
Conference_Location :
Stockholm
DOI :
10.1109/SPAWC.2015.7227112