NDLI: Utility Maximization Resource Allocation in Wireless Networks: Methods and Algorithms

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Utility Maximization Resource Allocation in Wireless Networks: Methods and Algorithms

Content Provider	IEEE Xplore Digital Library
Author	Liansheng Tan Zhongxun Zhu Fei Ge Naixue Xiong
Copyright Year	2013
Abstract	In wireless networks, it is still a challenge to allocate the limited resources among users to meet their specific quality of service (QoS) requirements, especially when the users have different traffic types, i.e., the hard QoS traffic, the best effort traffic, and the soft QoS traffic. In this paper, we develop the utility-based resource allocation algorithms in the following three tasks: 1) resource allocation among the hard QoS traffic and the soft QoS traffic; 2) resource allocation among the best effort traffic and the soft QoS traffic; and 3) finally resource allocation among the hard QoS traffic, the best effort traffic, and the soft QoS traffic, by solving the network utility maximization problem using the Karush-Kuhn-Tucker condition. We develop a number of critical theorems to give the conditions that find the optimal solutions for the above three cases in a unified framework. These theorems then act as design guidelines for the three algorithms. The proposed algorithms take into account the traffic type, the total available resources and the users' channel qualities. We evaluate the time complexity of the proposed algorithms, which comes out to be polynomial, and study the network performance by numerical examples. Numerical results demonstrate the bandwidth allocations, the fairness index and the total maximum utility under different channel qualities and resource situations.
Starting Page	1018
Ending Page	1034
Page Count	17
File Size	1766132
File Format	PDF
ISSN	21682216
Volume Number	45
Issue Number	7
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Quality of service Resource management Bandwidth Wireless networks Base stations Channel allocation wireless network Best effort traffic hard quality of service (QoS) traffic network utility maximization (NUM) QoS resource allocation soft QoS traffic
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Information Systems Human-Computer Interaction Electrical and Electronic Engineering Computer Science Applications Software

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