# Beamforming in Wireless Coded-Caching Systems

arXiv: https://arxiv.org/abs/2309.05276 · HTML: https://mlsanity.com/paper/2309.05276/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 10 of its 30 references that are in the map.
- First posted on arXiv 11 Sep 2023.

## Builds on (most cited first, 10 of 10)

- [Caching at the Wireless Edge: Design Aspects, Challenges and Future Directions](https://mlsanity.com/paper/1810.13287/) (2018)
- [On Integrated Access and Backhaul Networks: Current Status and Potentials](https://mlsanity.com/paper/2006.14216/) (2020)
- [Integrated Access Backhauled Networks](https://mlsanity.com/paper/1906.09298/) (2019)
- [On Topology Optimization and Routing in Integrated Access and Backhaul Networks: A Genetic Algorithm-based Approach](https://mlsanity.com/paper/2102.07252/) (2021)
- [Scoring the Terabit/s Goal:Broadband Connectivity in 6G](https://mlsanity.com/paper/2008.07220/) (2020)
- [Wireless Device-to-Device Caching Networks: Basic Principles and System Performance](https://mlsanity.com/paper/1305.5216/) (2013)
- [Uplink Power Control in Integrated Access and Backhaul Networks](https://mlsanity.com/paper/2110.07704/) (2021)
- [Constrained Deployment Optimization in Integrated Access and Backhaul Networks](https://mlsanity.com/paper/2210.05253/) (2022)
- [Decentralized Coded Caching Attains Order-Optimal Memory-Rate Tradeoff](https://mlsanity.com/paper/1301.5848/) (2013)
- [Multi-Antenna Coded Caching](https://mlsanity.com/paper/1701.02979/) (2017)

## Abstract (arXiv)

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.