Advances and Challenges toward a Scalable Cloud Radio Access Network

Congmin Fan*, Ying Jun (Angela) Zhang, Xiaojun Yuan

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

With centralized processing, cooperative radio, real-time cloud computing, and clean infrastructure, C-RAN is a "future-proof" solution to sustain the mobile data explosion in future wireless networks. The technology holds great potential in enhancing LTE with the necessary capability to accommodate the unprecedented traffic volume that today's wireless cellular system is facing. However, the high density of RRHs in C-RANs leads to severe scalability issues in terms of computational and implementation complexities. This article discusses the challenges and recent developments in the technologies that potentially address the scalability issues of C-RANs. In particular, we focus on the collaborative signal processing, resource management, and green architecture of C-RAN systems. This article is a humble attempt to draw the attention of the research community to the following important question: how to leverage the revolutionary architecture of C-RAN to attain unprecedented system capacity at an affordable cost and complexity.

Original languageEnglish
Pages (from-to)29-35
JournalIEEE Communications Magazine
Volume54
Issue number6
Publication statusPublished - Jun 2016

Funding

This work was supported in part by the National Basic Research Program (973 Program number 2013CB336701), the National Natural Science Foundation of China (Project numbers 61471241, 61201262), and two grants from the Research Grants Council of Hong Kong under General Research Funding (Project numbers 2150828 and 2150876).

Research Keywords

  • OPTIMIZATION

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