DocumentCode
616128
Title
Dynamic traffic-aware reconfiguration of spectral/energy efficient cellular networks
Author
Xuan Zhou ; Gang Feng ; Shuang Qin
Author_Institution
Nat. Key Lab. of Sci. & Technol. on Commun., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
fYear
2013
fDate
7-10 April 2013
Firstpage
2028
Lastpage
2033
Abstract
Traditional wireless communication systems focus on Spectral Efficiency (SE) with excessive energy consumption. With widespread attention on global warming and excessive energy consumption, system designers began focusing on energy efficiency (EE) instead of the traditional spectral efficiency. A system that maximizes either spectral efficiency or energy efficiency without taking into account the variation of traffic load will lead to poor system performance in terms of outage probability, throughput and energy efficiency. To address this issue, in this paper we propose a Dynamic Traffic-aware Reconfiguration (DTR) scheme, aiming at maximizing the average system EE while guaranteeing the required system performance. This is fulfilled by reconfiguring the system to SE, EE or hybrid SE-EE system according to the traffic load. The key criterion for reconfiguring the system is the outage probability, which is estimated through using a queuing model. We implement DTR scheme in 3GPP LTE system level simulator and conduct intensive simulation experiments to validate the effectiveness of our proposed DTR scheme. Numeric results show that DTR can maximize the average EE while guaranteeing the system performance compared to pure SE or EE system.
Keywords
Long Term Evolution; cellular radio; energy consumption; probability; queueing theory; telecommunication traffic; 3GPP LTE system level simulator; dynamic traffic-aware reconfiguration; energy consumption; energy efficiency; global warming; outage probability; queuing model; spectral efficiency; spectral/energy efficient cellular networks; wireless communication systems; Bandwidth; Energy efficiency; Hybrid power systems; Interference; Numerical models; Signal to noise ratio; Telecommunication traffic; Celullar networks; Energy Efficiency (EE); Spectral Efficiency (SE); Traffic-aware Reconfiguration; queuing model;
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.2013.6554875
Filename
6554875
Link To Document