Book contents
- Frontmatter
- Contents
- List of Contributors
- Preface
- 1 Introduction
- Part I Optimal Cache Placement and Delivery
- Part II Proactive Caching
- Part III Cache-Aided Interference and Physical Layer Management
- 11 Cache-Enabled Cloud Radio Access Networks
- 12 Fundamentals of Coded Caching for Interference Management
- 13 Full-Duplex Radios for Edge Caching
- 14 Caching in Mobile Millimeter Wave: Sub-6 GHz Networks
- Part IV Energy-Efficiency, Security, Economic, and Deployment
- Index
11 - Cache-Enabled Cloud Radio Access Networks
from Part III - Cache-Aided Interference and Physical Layer Management
Published online by Cambridge University Press: 19 October 2020
- Frontmatter
- Contents
- List of Contributors
- Preface
- 1 Introduction
- Part I Optimal Cache Placement and Delivery
- Part II Proactive Caching
- Part III Cache-Aided Interference and Physical Layer Management
- 11 Cache-Enabled Cloud Radio Access Networks
- 12 Fundamentals of Coded Caching for Interference Management
- 13 Full-Duplex Radios for Edge Caching
- 14 Caching in Mobile Millimeter Wave: Sub-6 GHz Networks
- Part IV Energy-Efficiency, Security, Economic, and Deployment
- Index
Summary
This chapter presents a content-centric framework for transmission optimization in cloud radio access networks (RANs) by leveraging wireless edge caching and physical-layer multicasting. We consider a cache-enabled cloud RAN, where each base station (BS) is equipped with a local cache and connected to a central processor (CP) via a backhaul link. The BSs acquire the requested contents either from their local caches or from the core network via the backhaul links. We first study the caching effects on multicast-enabled access downlink, where users requesting the same content are grouped together and served by the same BS or BS cluster using multicasting. We study the cache-aware joint design of the content-centric BS clustering and multicast beam-forming to minimize the system total power cost and backhaul cost subject to the quality-of-service (QoS) constraints for each multicast group.
Keywords
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- Information
- Wireless Edge CachingModeling, Analysis, and Optimization, pp. 217 - 235Publisher: Cambridge University PressPrint publication year: 2021