DocumentCode
615925
Title
Energy efficiency in a delay constrained wireless network
Author
Chen, Ru Shan ; Hu, Rose ; Qian Li ; Geng Wu
Author_Institution
Electr. & Comput. Eng., Utah State Univ., Logan, UT, USA
fYear
2013
fDate
7-10 April 2013
Firstpage
836
Lastpage
841
Abstract
This paper investigates the energy efficiency in a wireless channel with delay requirement. We address the energy efficiency transmission by considering both transmission power and circuit power consumptions based on the effective capacity approach. Effective capacity has been widely used to incorporate QoS requirements in the wireless communication and is an effective approach to modeling the physical layer wireless fading channel with the link layer parameters. We first derive the quasi-convex generalized form of energy efficiency formulation based on effective capacity under delay constraints. The general expression can be applied to various fading scenarios. We further develop a two-step binary search algorithm to find the best energy efficiency and the corresponding optimal transmission signal-to-noise ratio (SNR). The numerical results show that both the circuit power and queuing delay requirement have a big impact on the overall wireless channel energy efficiency.
Keywords
4G mobile communication; Long Term Evolution; convex programming; fading channels; quality of service; queueing theory; search problems; 4G Long Term Evolution; LTE; QoS requirements; circuit power consumption; delay constrained wireless network; energy efficiency transmission; link layer parameters; optimal transmission signal-to-noise ratio; physical layer wireless fading channel; quality-of-service; quasi-convex generalized form; queuing delay requirement; transmission power consumption; two-step binary search algorithm; wireless communication; Delays; Fading; Quality of service; Queueing analysis; Signal to noise ratio; Wireless communication; Wireless sensor networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Communications and Networking Conference (WCNC), 2013 IEEE
Conference_Location
Shanghai
ISSN
1525-3511
Print_ISBN
978-1-4673-5938-2
Electronic_ISBN
1525-3511
Type
conf
DOI
10.1109/WCNC.2013.6554672
Filename
6554672
Link To Document