Self-Organizing Algorithms for Interference Coordination in Small Cell Networks

Research output: Contribution to journalArticleScientificpeer-review

Researchers

Research units

  • Royal Institute of Technology
  • Centre Tecnologic de les Telecomunicacions de Catalunya

Abstract

This paper discusses novel joint (intracell and intercell) resource allocation algorithms for self-organized interference coordination in multicarrier multiple-input multiple-output (MIMO) small cell networks. The proposed algorithms enable interference coordination autonomously, over multiple degrees of freedom, such as base station transmit powers, transmit precoders, and user scheduling weights. A generic α-fair utility maximization framework is considered to analyze performance-fairness tradeoff and to quantify the gains achievable in interference-limited networks. The proposed scheme involves limited inter-base station signaling in the form of two step (power and precoder) pricing. Based on this decentralized coordination, autonomous power and precoder update decision rules are considered, leading to algorithms with different characteristics in terms of user data rates, signaling load, and convergence speed. Simulation results in a practical setting show that the proposed pricing-based self-organization can achieve up to 100\% improvement in cell-edge data rates when compared to baseline optimization strategies. Furthermore, the convergence of the proposed algorithms is also proved theoretically.

Details

Original languageEnglish
Article number7903724
Pages (from-to)8333-8346
Number of pages14
JournalIEEE Transactions on Vehicular Technology
Volume66
Issue number9
Publication statusPublished - 1 Sep 2017
MoE publication typeA1 Journal article-refereed

    Research areas

  • Autonomous algorithms, co-channel interference, interference coordination, multiple-input multiple-output (MIMO), network utility maximization, resource allocation, self-organizing networks (SONs), small cell networks (SCNs)

ID: 15729541