Self-Organizing Algorithms for Interference Coordination in Small Cell Networks
Por:
Ahmed, F, Dowhuszko, AA, Tirkkonen, O
Publicada:
1 sep 2017
Resumen:
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 a-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.
Filiaciones:
Ahmed, F:
KTH Royal Inst Technol, Dept Commun Syst, S-16440 Stockholm, Sweden
Dowhuszko, AA:
Ctr Tecnolg Telecomunicac Catalunya, Barcelona 08860, Spain
Tirkkonen, O:
Aalto Univ, Dept Commun & Networking, Commun Theory, Espoo 02150, Finland
Green Published
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