NDLI: Jointly Optimal Congestion and Power Control for Rayleigh-Faded Channels with Outage Constraints

Content Provider	Springer Nature Link
Author	Wang, Fei Liao, Xiaofeng Guo, Songtao Huang, Hongyu
Copyright Year	2013
Abstract	We address the problem of joint congestion control and power control with link outage constraints in Rayleigh fast-fading and multihop wireless networks. Because of packet loss caused by the fast-fading-induced link outage, the data rate received successfully at the destination node (the effective rate) is much lower than the transmission rate at the source node (the injection rate). In this paper, a novel model, i.e., effective network utility maximization with power control (ENUMP), is designed to formulate this scenario. In ENUMP, the network utility is associated with the effective rate, and an effective network utility maximization formulation with link outage constraints is used. Although the original problem is non-convex and non-separable, we can still construct a distributed algorithm by applying appropriate transformations. Since in our model we sufficiently take into account the statistical variations of the signal-to-interference ratio, the power updates do not follow the instantaneous state of the fast-fading channel. Simulation results show that the optimal solution of our algorithm is close to the globally optimal solution. Besides, simulation results also verify that ENUMP achieves significant gains of the effective rate, the network utility, and the network congestion control over an existing famous model.
Starting Page	101
Ending Page	125
Page Count	25
File Format	PDF
ISSN	09296212
Journal	Wireless Personal Communications
Volume Number	77
Issue Number	1
e-ISSN	1572834X
Language	English
Publisher	Springer US
Publisher Date	2013-11-05
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Congestion control Power control ENUMP Outage probability Rayleigh fast-fading channel Lossy link model Communications Engineering, Networks Signal, Image and Speech Processing Computer Communication Networks
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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