Paper Info
Title
Distributed User Association with Resource Partitioning in Heterogeneous Cellular Networks.
Abstract
To fully utilize the resources of heterogeneous cellular networks (HCNs), an effective approach that offloads users to the underloaded small cells from overloaded macrocells is widely advocated. However, this operation often leads to a bad result that the offloaded users achieve lower signal-to-interference-plus-noise-ratio (SINR) than these users in macrocells. Thus, some appropriate interference avoidance techniques should be adopted to partially alleviate the SINR degradation. For this, we consider the resource (frequency) partitioning that turns off some fraction of such resources in a macrocell. Naturally, an optimal offloading strategy should be closely coupled with resource partitioning, and in turn the optimal partition decides the offloading performance. In this paper, we propose a distributed association strategy with joint offloading and resource partitioning for HCNs. We reveal that load balancing, by itself, is insufficient, and additional resource partitioning is required to improve system performance. Meanwhile, we also show that, compared with the best power association and range extension association, the proposed scheme provides better association performance.
Year
DOI
Venue
2017
10.1007/s11277-017-4054-1
Wireless Personal Communications
Keywords
Field
DocType
Heterogeneous cellular networks, Load balancing, User association, Distributed algorithm
Computer science,Load balancing (computing),Computer network,Real-time computing,Distributed algorithm,Cellular network,Interference (wave propagation),Macrocell,Distributed computing
Journal
Volume
Issue
ISSN
95
4
1572-834X
Citations 
PageRank 
References 
0
0.34
18
Authors
4
Name
Order
Citations
PageRank
Tianqing Zhou111.03
Yongming Huang21472146.50
Yuan Sun3101.92
Luxi Yang41180118.08