Beamforming in Wireless Coded-Caching Systems
Paper in proceeding, 2023

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.

6G

genetic algorithm

5G

beamforming

coded-caching

multicast

Author

Sneha Madhusudan

Ericsson

Charitha Madapatha Madapathage Don

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

Behrooz Makki

Ericsson

Hao Guo

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

Tommy Svensson

GigaHertz Centre

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

Chalmers Antenna Systems Excellence Center (ChaseOn)

Proceedings - 2023 IEEE Future Networks World Forum: Future Networks: Imagining the Network of the Future, FNWF 2023


9798350324587 (ISBN)

6th IEEE Future Networks World Forum, FNWF 2023
Baltimore, USA,

Subject Categories

Computer Engineering

Telecommunications

Communication Systems

Signal Processing

Areas of Advance

Information and Communication Technology

DOI

10.1109/FNWF58287.2023.10520641

More information

Latest update

6/10/2024