Asymptotically Optimal Beamforming for Video Streaming in Multi-Antenna Interference Networks
Fan Zhang, Vincent K. N. Lau

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…
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Taxonomy
TopicsAdvanced Wireless Network Optimization · Network Traffic and Congestion Control · Advanced MIMO Systems Optimization
