Title
Joint Link Adaptation and User Scheduling with HARQ in Multi-Cell Environments
Abstract
Inter-cell interference (ICI) is one of the most critical factors affecting performance of cellular networks. In this paper, we investigate a joint link adaptation and user scheduling problem for multi-cell downlink employing HARQ techniques, where the ICI exists among cells. We first propose an approximation method on aggregated ICI for analyzing an effective signal-to-interference-and-noise ratio (SINR) with the HARQ technique at users, named identical path-loss approximation (IPLA). Based on the proposed IPLA, we propose a transmission rate selection algorithm maximizing an expected throughput at each user. We also propose a simple but effective cross-layer framework jointly combining transmission rate adaptation and user scheduling techniques, considering both HARQ and ICI. It is shown that statistical distribution of the effective SINR at users based on the IPLA agrees well with the empirical distribution, while the conventional Gaussian approximation (GA) does not work well in the case that dominant ICIs exist. Thus, IPLA enables base stations to choose more accurate transmission rates. Furthermore, the proposed IPLA-based cross-layer policy outperforms existing policies in terms of both system throughput and user fairness.
Year
DOI
Venue
2015
10.1109/TVT.2015.2412693
Vehicular Technology, IEEE Transactions  
Keywords
Field
DocType
harq,inter-cell interference,cross-layer optimization,link adaptation,user scheduling
Link adaptation,Hybrid automatic repeat request,Job shop scheduling,Scheduling (computing),Computer science,Selection algorithm,Computer network,Electronic engineering,Cellular network,Throughput,Telecommunications link
Journal
Volume
Issue
ISSN
PP
99
0018-9545
Citations 
PageRank 
References 
0
0.34
21
Authors
3
Name
Order
Citations
PageRank
Su Min Kim112919.92
Bang Chul Jung264270.83
Dan Keun Sung31478147.84