Paper Info
Title
Optimal joint transmission scheduling for green energy powered coordinated multi-point transmission system
Abstract
Due to advantages in spectral efficiency and energy efficiency of its air-interface, the coordinated multi-point (CoMP) transmission has been adopted in 4G and beyond mobile communication systems, such as LTE-A, which enables the transmission cooperation among multiple remote radio units (RRUs). As the main component of a RRU, the power amplifier (PA) is always blamed for its low power efficiency, which is difficult to be further improved by today's hardware technology. To eliminate the on-grid power consumption caused by the low PA efficiency and the corresponding CO2 emission, we propose a new CoMP transmission framework, in which all RRUs and associated PAs are powered by the solar power. Then, based on the proposed framework, we derive the optimal coordinated transmission scheduling algorithm for maximizing the throughput with considerations of fast fading channel, limited pre-knowledge about channel state information (CSI), random energy arrival and finite energy storage. Theoretical analyses of the proposed algorithm are given, and numerical results show that our algorithm can achieve a close performance to the optimal transmission scheduling algorithm with a priori knowledge about CSI.
Year
DOI
Venue
2014
10.1109/GLOCOM.2014.7037214
GLOBECOM
Keywords
DocType
ISSN
optimal transmission scheduling algorithm,channel state information,fast fading channel,solar power,air pollution control,power amplifier,energy conservation,coordinated multipoint transmission system,telecommunication power management,finite energy storage,limited preknowledge,optimal joint transmission scheduling,green energy,remote radio units,random energy arrival,energy efficiency,spectral efficiency,radiocommunication,telecommunication power supplies,comp transmission framework,solar energy,air pollution,scheduling algorithms,optimization
Conference
2334-0983
Citations 
PageRank 
References 
1
0.35
9
Authors
4
Name
Order
Citations
PageRank
Zejue Wang1244.75
Hongjia Li2214.26
Xin Chen3163.66
Song Ci41086106.10