Pricing-based Distributed Downlink Beamforming in Multi-Cell OFDMA Networks
Weiqiang Xu, Xiaodong Wang

TL;DR
This paper proposes a distributed beamforming algorithm for multi-cell OFDMA networks that optimizes network utility, converges quickly, and outperforms existing interference mitigation methods, especially under strong interference.
Contribution
It introduces a game-theoretic distributed algorithm with pricing for downlink beamforming, applicable to various utility functions, and analyzes its convergence and efficiency.
Findings
Algorithm converges in few iterations
Significant performance gains under strong interference
Low information exchange overhead
Abstract
We address the problem of downlink beamforming for mitigating the co-channel interference in multi-cell OFDMA networks. Based on the network utility maximization framework, we formulate the problem as a non-convex optimization problem subject to the per-cell power constraints, in which a general utility function of SINR is used to characterize the network performance. Some classical utility functions, such as the proportional fairness utility, the weighted sum-rate utility and the {}-fairness utility, are subsumed as special cases of our formulation. To solve the problem in a distributed fashion, we devise an algorithm based on the non-cooperative game with pricing mechanism. We give a sufficient condition for the convergence of the algorithm to the Nash equilibrium (NE), and analyze the information exchange overhead among the base stations. Moreover, to speed up the…
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