Asymptotically Optimal Beamforming for Video Streaming in Multi-Antenna Interference Networks

TL;DR

This paper develops an asymptotically optimal beamforming control algorithm for multi-antenna interference networks, optimizing video streaming quality by minimizing power costs while managing buffer and interruption constraints.

Contribution

It introduces a low complexity, asymptotically optimal beamforming algorithm based on diffusion approximation and perturbation analysis for interference networks.

Findings

Significant performance improvements over baseline schemes

Effective power cost minimization with buffer and interruption constraints

Validates asymptotic optimality through simulations

Abstract

In this paper, we consider queue-aware beamforming control for video streaming applications in multi-antenna interference network. Using heavy traffic approximation technique, we first derive the diffusion limit for the discrete time queuing system. Based on the diffusion limit, we formulate an infinite horizon ergodic control problem to minimize the average power costs of the base stations subject to the constraints on the playback interruption costs and buffer overflow costs of the mobile users. To deal with the queue coupling challenge, we utilize the weak interference coupling property in the network to derive a closed-form approximate value function of the optimality equation as well as the associated error bound using perturbation analysis. Based on the closed-form approximate value function, we propose a low complexity queue-aware beamforming control algorithm, which is asymptotically optimal for sufficiently small cross-channel path gain. Finally, the proposed scheme is compared with various baselines through simulations and it is shown that significant performance gain can be achieved.