Beamforming in Wireless Coded-Caching Systems
Sneha Madhusudan Charitha Madapatha Behrooz Makki Hao Guo Tommy Svensson
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.