DocumentCode :
148915
Title :
QoS aware energy efficient resource allocation in HSDPA systems
Author :
Yinghao Jin ; Bei Liu ; Ling Qiu ; Jie Xu ; Yi Huang
Author_Institution :
Univ. of Sci. & Technol. of China (USTC), Hefei, China
fYear :
2014
fDate :
6-9 April 2014
Firstpage :
1643
Lastpage :
1648
Abstract :
Developing green radio networks is desirable to improve energy efficiency under quality of service (QoS) constraints. In this paper, we propose a QoS aware energy efficient resource allocation scheme in multiuser high speed downlink packet access (HSDPA) systems. First, we derive a new metric, namely effective energy efficiency (EEE), to represent the delivered service bits at the media access control (MAC) layer per joule subject to given QoS constraints. Then, by using this new metric, a EEE optimization problem in the mixed traffic scenario is formulated, where we can exploit the multi-traffic diversity. With the help of primal decomposition technique, we solve the formulated problem and propose a cross-layer resource allocation scheme, in which determines the EEE optimal transmit power level for each user and schedules the set of EEE near-optimal users. Numerical results are presented to quantify the superiority of our proposed scheme over the conventional resource allocation schemes.
Keywords :
3G mobile communication; optimisation; quality of service; resource allocation; telecommunication power management; telecommunication traffic; EEE optimization problem; HSDPA systems; MAC layer; QoS aware energy efficient resource allocation; effective energy efficiency; green radio networks; high speed downlink packet access; media access control; multitraffic diversity; quality of service; Delays; Multiaccess communication; Optimization; Quality of service; Resource management; Spread spectrum communication; Effective energy efficiency (EEE); effective capacity; power control; user scheduling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications and Networking Conference (WCNC), 2014 IEEE
Conference_Location :
Istanbul
Type :
conf
DOI :
10.1109/WCNC.2014.6952476
Filename :
6952476
Link To Document :
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