Cloud Radio Access Networks with Coded Caching

Abstract

A cloud radio access network (C-RAN) is considered as a candidate to meet the expectations of higher data rate de- mands in wireless networks. In C-RAN, low energy base stations (BSs) are deployed over a small geography and are allowed to connect to the cloud via finite capacity backhaul links where the information is processed. A conventional C-RAN, however, requires high capacity backhaul links, since the requested files need to be transferred first from the cloud to the BS before conveying them to the users. One approach to overcome the limitations of the backhaul links is to introduce local storage caches at the BSs, in which the popular files are stored locally in order to reduce the load of the backhaul links. Furthermore, we utilize coded caching with the goal to minimize the total network cost, i.e., the transmit power and the cost associated with the backhaul links. The initial formulation of the optimization problem for this model is non-convex. We first reformulate and then convexify the problem through some relaxation techniques. In comparison to the uncoded caching at the BSs, our results highlight the benefits associated with coded caching and show that it decreases the backhaul cost.

5 pages, 3 figures, WSA 2016

References in corpus (2)

• Mixed-Timescale Precoding and Cache Control in Cached MIMO Interference Network
• Cache-Enabled Opportunistic Cooperative MIMO for Video Streaming in Wireless Systems

Cited by in corpus (10)

• Efficient Virtual Network Function Placement Strategies for Cloud Radio Access Networks
• Distributed Resource Management in Downlink Cache-Enabled Multi-Cloud Radio Access Networks
• Rate-Splitting Multiple Access in Cache-Aided Cloud-Radio Access Networks
• Wireless Coded Caching: A Topological Perspective
• Joint Fronthaul Multicast and Cooperative Beamforming for Cache-Enabled Cloud-Based Small Cell Networks: An MDS Codes-Aided Approach
• Fundamental Limits on Delivery Time in Cloud- and Cache-Aided Heterogeneous Networks
• Improved Converses and Gap Results for Coded Caching
• Backhaul Traffic Balancing and Dynamic Content-Centric Clustering for the Downlink of Fog Radio Access Network
• Caching at Base Stations with Multi-Cluster Multicast Wireless Backhaul via Accelerated First-Order Algorithm
• Optimized Base-Station Cache Allocation for Cloud Radio Access Network with Multicast Backhaul