DocumentCode
3603992
Title
Performance Analysis of Massive MIMO for Cell-Boundary Users
Author
Yeon-Geun Lim ; Chan-Byoung Chae ; Caire, Giuseppe
Author_Institution
Sch. of Integrated Technol., Yonsei Univ., Seoul, South Korea
Volume
14
Issue
12
fYear
2015
Firstpage
6827
Lastpage
6842
Abstract
In this paper, we consider massive multiple-input-multiple-output systems for both downlink and uplink scenarios, where three radio units connected via one digital unit support multiple user equipments at the cell-boundary through the same radio resource, i.e., the same time-frequency slot. For downlink transmitter options, the study considers zero forcing (ZF) and maximum ratio transmission (MRT), whereas for uplink receiver options, it considers ZF and maximum ratio combining (MRC). For the sum rate of each of these, we derive simple closed-form formulas. In the simple but practically relevant case where uniform power is allocated to all downlink data streams, we observe that, for the downlink, vector normalization is better for ZF whereas matrix normalization is better for MRT. For a given antenna and user configuration, we also analytically derive the signal-to-noise-ratio level below which MRC should be used instead of ZF. Numerical simulations confirm our analytical results.
Keywords
MIMO communication; cellular radio; diversity reception; matrix algebra; numerical analysis; radio receivers; radio transmitters; receiving antennas; time-frequency analysis; transmitting antennas; cell-boundary user; digital unit support multiple user equipment; downlink data stream allocation; downlink scenario; downlink transmitter antenna; massive MIMO performance analysis; massive multiple-input-multiple-output system; matrix normalization; maximum ratio combining; maximum ratio transmission; numerical simulation; radio unit; signal-to-noise-ratio level; time-frequency slot; uplink receiver; uplink scenario; vector normalization; zero forcing; Antennas; Approximation methods; Downlink; Interference; MIMO; Signal to noise ratio; Uplink; Massive MIMO; cell-boundary users; combining filter; ergodic achievable rate; matched filter; normalization; precoding; precoding, and combining filter; zero-forcing;
fLanguage
English
Journal_Title
Wireless Communications, IEEE Transactions on
Publisher
ieee
ISSN
1536-1276
Type
jour
DOI
10.1109/TWC.2015.2460751
Filename
7166320
Link To Document