Energy savings scheme in radio access networks via compressive sensing-based traffic load prediction

Author:

Li Rongpeng1,Zhao Zhifeng1,Zhou Xuan1,Zhang Honggang1

Affiliation:

1. York-Zhejiang Lab for Cognitive Radio and Green Communications, Department of Information Science and Electronic Engineering; Zhejiang University; Hangzhou 310027 China

Publisher

Wiley

Subject

Electrical and Electronic Engineering

Reference37 articles.

1. Energy efficiency in communications;Zhang;IEEE Communications Magazine,2010

2. Marsan M Chiaraviglio L Ciullo D Meo M Optimal energy savings in cellular networks Proceedings of IEEE ICC 2009 2009 1 5

3. Global Action Plan Rep Global action plan, an inefficient truth 2007 http://globalactionplan.org.uk

4. ABI Research Mobile networks go green-minimizing power consumption and leveraging renewable energy 2009 http://www.abiresearch.com/

5. China Mobile Research Institute C-RAN: Road towards green radio access network Technical Report 2010

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