Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

SLNR-based User Scheduling in Multi-cell networks: from Multi-antenna to Large-Scale Antenna System

Authors
Li, YanchunZhu, GuangxiChen, HuaJo, MinhoLiu, Yingzhuang
Issue Date
31-Mar-2014
Publisher
KSII-KOR SOC INTERNET INFORMATION
Keywords
Large-scale antenna system; multi-cell; interference management; multiuser diversity
Citation
KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS, v.8, no.3, pp.945 - 964
Indexed
SCIE
SCOPUS
KCI
Journal Title
KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS
Volume
8
Number
3
Start Page
945
End Page
964
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/98972
DOI
10.3837/tiis.2014.03.013
ISSN
1976-7277
Abstract
In this paper, we investigate the performance of Signal to Leakage and Noise Radio (SLNR) based user scheduling in uplink of multi-cell with large-scale antenna system. Large antenna array is desired to improve the performance in future system by providing better beamforming capability. However, some studies have found that the signal channel is 'hardened' (becomes invariant) when the antenna number goes extremely large, which implies that the signal channel aware user scheduling may have no gain at all. With the mathematic tool of order statistics, we analyzed the signal and interference terms of SLNR in a homogeneous multicell network. The derived distribution function of signal and interference shows that the leakage channel's variance is much more influential than the signal channel's variance in large-scale antenna regime. So even though the signal channel is hardened, the SLNR-based scheduling can achieve remarkable multiuser diversity (MUD) gain due to the fluctuation of the uplink leakage channel. By providing the final SINR distribution, we verify that the SLNR-based scheduling can leverage MUD in a better way than the signal channel based scheduling. The Monte Carlo simulations show that the throughput gain of SLNR-based scheduling over signal channel based scheduling is significant.
Files in This Item
There are no files associated with this item.
Appears in
Collections
Graduate School > Department of Computer and Information Science > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Jo, Min ho photo

Jo, Min ho
Department of Computer and Information Science
Read more

Altmetrics

Total Views & Downloads

BROWSE