Throughput Estimation Based Distributed Base Station Selection in Heterogeneous Networks

Jeongsik Choi, Woong Hee Lee, Yong Hwa Kim, Jong Ho Lee, Seong Cheo Kim

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Small cells are considered an emerging technology for increasing the potential capacity of cellular networks. However, as the density of infrastructure increases, users have many choices for connection, and therefore, selecting an appropriate base station (BS) becomes an important issue. This study aims to provide an improved user association rule, where each user autonomously chooses the best among all the BSs in the vicinity, while considering their congestion levels. As the first step, an optimization problem is formulated, which emphasizes both the time-varying nature of the wireless channel and fairness among users. On the basis of this formulation, the influence of a specific handover event on system performance is investigated, and then, two versions of the handover frameworks are developed. Simulation results show that the proposed algorithms increase the throughput of every user in the network by 2.8-12% compared to the best conventional scheme. Furthermore, these schemes especially enhance the performance of users having low service quality by 5.0-85%, through efficient utilization of the pre-installed infrastructures.

Original languageEnglish
Article number7130663
Pages (from-to)6137-6149
Number of pages13
JournalIEEE Transactions on Wireless Communications
Volume14
Issue number11
DOIs
StatePublished - Nov 2015

Keywords

  • Heterogeneous networks
  • base station selection
  • handoff/handover
  • load balancing

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