Uplink Performance Analysis of Multicell MU-SIMO Systems With ZF Receivers
Journal article, 2013

We consider the uplink of a multicell multiuser single-input multiple-output system (MU-SIMO), where the channel experiences both small-and large-scale fading. The data detection is done by using the linear zero-forcing technique, assuming the base station (BS) has perfect channel state information of all users in its cell. We derive new exact analytical expressions for the uplink rate, the symbol error rate (SER), and the outage probability per user, as well as a lower bound on the achievable rate. This bound is very tight and becomes exact in the large-number-of-antenna limit. We further study the asymptotic system performance in the regimes of high signal-to-noise ratio (SNR), large number of antennas, and large number of users per cell. We show that, at high SNRs, the system is interference limited, and hence, we cannot improve the system performance by increasing the transmit power of each user. Instead, by increasing the number of BS antennas, the effects of interference and noise can be reduced, thereby improving system performance. We demonstrate that, with very large antenna arrays at the BS, the transmit power of each user can be made inversely proportional to the number of BS antennas while maintaining a desired quality of service. Numerical results are presented to verify our analysis.

Multiuser single-input multiple-output (MU-SIMO)

interference

channels

networks

multiuser mimo systems

multiple-input multiple-output (MIMO) systems

double scattering

very large

receiver

capacity

zero-forcing (ZF)

antennas

Author

H. Q. Ngo

Linköping University

Michail Matthaiou

Chalmers, Signals and Systems, Signal Processing and Biomedical Engineering

T. Q. Duong

Blekinge Tekniska Högskola, BTH

E. G. Larsson

Linköping University

IEEE Transactions on Vehicular Technology

0018-9545 (ISSN) 1939-9359 (eISSN)

Vol. 62 9 4471-4483 6522146

Subject Categories

Electrical Engineering, Electronic Engineering, Information Engineering

DOI

10.1109/tvt.2013.2265720

More information

Latest update

4/5/2022 6