TY - JOUR
T1 - Performance analysis for uplink massive MIMO systems with a large and random number of UEs
AU - Yang, Ang
AU - Xing, Chengwen
AU - Fei, Zesong
AU - Kuang, Jingming
N1 - Publisher Copyright:
© 2016, Science China Press and Springer-Verlag Berlin Heidelberg.
PY - 2016/2/1
Y1 - 2016/2/1
N2 - In this paper, we analyze the ergodic achievable rate of an uplink massive multi-user multipleinput multiple-output (MIMO) system with a large and Poisson distributed number of users. In the considered scenario, multiple user equipments (UEs) transmit their information to a base station equipped with a very large number of antennas. New asymptotic expressions for the ergodic achievable rate for large and deterministic number of users are derived for both maximum ratio combining (MRC) detector and zero-forcing (ZF) detector, as well as the ergodic achievable rate for large and random number of users. Simulation results assess the accuracy of these analytical expressions. It is shown that compared with the MRC detector, ZF detector can achieve much higher spectrum efficiency. Also, the results provide a meaningful fact that with different settings the randomness of the number of users will result in different extents of impact on the performance of massive MIMO.
AB - In this paper, we analyze the ergodic achievable rate of an uplink massive multi-user multipleinput multiple-output (MIMO) system with a large and Poisson distributed number of users. In the considered scenario, multiple user equipments (UEs) transmit their information to a base station equipped with a very large number of antennas. New asymptotic expressions for the ergodic achievable rate for large and deterministic number of users are derived for both maximum ratio combining (MRC) detector and zero-forcing (ZF) detector, as well as the ergodic achievable rate for large and random number of users. Simulation results assess the accuracy of these analytical expressions. It is shown that compared with the MRC detector, ZF detector can achieve much higher spectrum efficiency. Also, the results provide a meaningful fact that with different settings the randomness of the number of users will result in different extents of impact on the performance of massive MIMO.
KW - ergodic achievable rates
KW - large numbers of UEs
KW - massive MIMO
KW - maximum ratio combining detector
KW - zero-forcing detector
UR - http://www.scopus.com/inward/record.url?scp=84953402925&partnerID=8YFLogxK
U2 - 10.1007/s11432-015-5435-2
DO - 10.1007/s11432-015-5435-2
M3 - Article
AN - SCOPUS:84953402925
SN - 1674-733X
VL - 59
SP - 1
EP - 9
JO - Science China Information Sciences
JF - Science China Information Sciences
IS - 2
ER -