DocumentCode
1885331
Title
Utility-based resource allocation for mixed traffic in wireless networks
Author
Li Chen ; Wang, Bin ; Chen, Li ; Zhang, Xin ; Yang, Dacheng
Author_Institution
Wireless Theor. & Technol. (WT&T), Beijing Univ. of Posts & Telecommun. (BUPT), Beijing, China
fYear
2011
fDate
10-15 April 2011
Firstpage
91
Lastpage
96
Abstract
In order to solve the problem that the existing resource allocation strategies cannot give integrative consideration to QoS, spectrum efficiency for mixed traffic, this paper proposes a utility-based resource allocation algorithm for mixed traffic in wireless networks. The unified utility function for users with different traffics is studied first. After that, the optimization model for the resource allocation is established based on the unified utility function. A heuristic algorithm based on the solution of the model is proposed in the mixed traffic scenario after analyzing the optimization model. The algorithm which has lower complexity than the existing work can automatically guarantee the QoS requirement for the real-time traffic and make a tradeoff between throughput and fairness for users with best effort traffic due to the unified utility function. Numeric simulation results indicate that the algorithm is very applicable for mixed traffic, and the resource requirements for QoS users can be satisfied preferentially in the mixed traffic scenario.
Keywords
optimisation; quality of service; radio networks; telecommunication traffic; QoS requirement; best effort traffic; heuristic algorithm; mixed traffic; optimization model; quality of service; real-time traffic; spectrum efficiency; unified utility function; utility-based resource allocation algorithm; wireless networks; Aggregates; Analytical models; Optimization; Quality of service; Resource management; Throughput; Wireless networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Communications Workshops (INFOCOM WKSHPS), 2011 IEEE Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4577-0249-5
Electronic_ISBN
978-1-4577-0248-8
Type
conf
DOI
10.1109/INFCOMW.2011.5928944
Filename
5928944
Link To Document