Stochastic Control of Event-Driven Feedback in Multi-Antenna Interference Channels
Kaibin Huang, Vincent K. N. Lau, and Dongku Kim

TL;DR
This paper introduces a stochastic control framework for adaptive, opportunistic feedback in multi-antenna interference channels, significantly reducing overhead and improving network throughput.
Contribution
It develops a novel distributive control method for CSI feedback, optimizing feedback allocation based on channel conditions and mobility, with proven optimal policies for symmetric and asymmetric channels.
Findings
Optimal feedback control decouples feedback links in symmetric channels.
Feedback control adapts to channel gains, increasing bits with interference strength.
Simulation shows substantial throughput improvements over traditional methods.
Abstract
Spatial interference avoidance is a simple and effective way of mitigating interference in multi-antenna wireless networks. The deployment of this technique requires channel-state information (CSI) feedback from each receiver to all interferers, resulting in substantial network overhead. To address this issue, this paper proposes the method of distributive control that intelligently allocates CSI bits over multiple feedback links and adapts feedback to channel dynamics. For symmetric channel distributions, it is optimal for each receiver to equally allocate the average sum-feedback rate for different feedback links, thereby decoupling their control. Using the criterion of minimum sum-interference power, the optimal feedback-control policy is shown using stochastic-optimization theory to exhibit opportunism. Specifically, a specific feedback link is turned on only when the corresponding…
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