Beamforming in Wireless Coded-Caching Systems

TL;DR

This paper explores a wireless network architecture combining beamforming and coded-caching, using a genetic algorithm for optimization, to improve multicast efficiency and reduce backhaul traffic.

Contribution

It introduces a novel joint design integrating beamforming with coded-caching and develops a genetic algorithm-based scheme for beam optimization.

Findings

Beamforming enhances coded-caching effectiveness.

Significant reduction in peak backhaul traffic achieved.

Joint design outperforms traditional caching schemes.

Abstract

Increased capacity in the access network poses capacity challenges on the transport network due to the aggregated traffic. However, there are spatial and time correlation in the user data demands that could potentially be utilized. To that end, we investigate a wireless transport network architecture that integrates beamforming and coded-caching strategies. Especially, our proposed design entails a server with multiple antennas that broadcasts content to cache nodes responsible for serving users. Traditional caching methods face the limitation of relying on the individual memory with additional overhead. Hence, we develop an efficient genetic algorithm-based scheme for beam optimization in the coded-caching system. By exploiting the advantages of beamforming and coded-caching, the architecture achieves gains in terms of multicast opportunities, interference mitigation, and reduced peak backhaul traffic. A comparative analysis of this joint design with traditional, un-coded caching schemes is also conducted to assess the benefits of the proposed approach. Additionally, we examine the impact of various buffering and decoding methods on the performance of the coded-caching scheme. Our findings suggest that proper beamforming is useful in enhancing the effectiveness of the coded-caching technique, resulting in significant reduction in peak backhaul traffic.