DocumentCode
240771
Title
Joint power-delay minimization in 4G wireless networks
Author
Moety, Farah ; Lahoud, Samer ; Cousin, Bernard ; Khawam, Kinda
Author_Institution
IRISA, Univ. of Rennes I, Rennes, France
fYear
2014
fDate
12-14 Nov. 2014
Firstpage
1
Lastpage
8
Abstract
In this paper, we formulate an optimization problem that jointly minimizes the network power consumption and transmission delay in broadband wireless networks. Power saving is achieved by adjusting the operation mode of the network Base Stations (BSs) from high transmit power levels to low transmit levels or switched-off. Minimizing the transmission delay is achieved by selecting the best user association with the BSs. We study the case of a realistic Long Term Evolution (LTE) Network where the challenge is the high computational complexity necessary to obtain the optimal solution. Therefore, we propose a simulated annealing based heuristic algorithm for the power-delay minimization problem. The proposed heuristic aims to compute the transmit power level of the network BSs and associate users with these BSs in a way that jointly minimizes the total network power and the total network delay. The simulation results show that the proposed algorithm has a low computational complexity which makes it advantageous compared with the optimal scheme. Moreover, the heuristic algorithm performs close to optimally and outperforms the existing approaches in realistic 4G deployments.
Keywords
4G mobile communication; Long Term Evolution; simulated annealing; 4G wireless networks; LTE network; Long Term Evolution network; computational complexity; joint power-delay minimization problem; optimization problem; power consumption; power saving; simulated annealing based heuristic algorithm; total network delay; total network power; transmission delay; Complexity theory; Delays; Heuristic algorithms; Optimization; Power demand; Signal to noise ratio; Switches;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Days (WD), 2014 IFIP
Conference_Location
Rio de Janeiro
Type
conf
DOI
10.1109/WD.2014.7020801
Filename
7020801
Link To Document