Backhaul-aware interference management in the uplink of wireless small cell networks

Sumudu Samarakoon, Mehdi Bennis, Walid Saad, Matti Latva-aho

Research output: Contribution to journalArticle

39 Scopus citations

Abstract

The design of distributed mechanisms for interference management is one of the key challenges in emerging wireless small cell networks whose backhaul is capacity limited and heterogeneous (wired, wireless and a mix thereof). In this paper, a novel, backhaul-aware approach to interference management in wireless small cell networks is proposed. The proposed approach enables macrocell user equipments (MUEs) to optimize their uplink performance, by exploiting the presence of neighboring small cell base stations. The problem is formulated as a noncooperative game among the MUEs that seek to optimize their delay-rate tradeoff, given the conditions of both the radio access network and the - possibly heterogeneous - backhaul. To solve this game, a novel, distributed learning algorithm is proposed using which the MUEs autonomously choose their optimal uplink transmission strategies, given a limited amount of available information. The convergence of the proposed algorithm is shown and its properties are studied. Simulation results show that, under various types of backhauls, the proposed approach yields significant performance gains, in terms of both average throughput and delay for the MUEs, when compared to existing benchmark algorithms.

Original languageEnglish (US)
Pages (from-to)5813-5825
Number of pages13
JournalIEEE Transactions on Wireless Communications
Volume12
Issue number11
DOIs
StatePublished - Nov 2013

Keywords

  • Capacity-limited backhaul
  • Game theory
  • Heterogeneous networks
  • Reinforcement learning
  • Wired and wireless backhaul

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Science Applications
  • Applied Mathematics

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