NDLI: A Distributed Probability Collectives Optimization Method for Multicast in CDMA Wireless Data Networks

Content Provider	IEEE Xplore Digital Library
Author	Mehr, M.H.A. Khalaj, B.H.
Copyright Year	2007
Description	Author affiliation: Sharif Univ. Tehran, Tehran (Mehr, M.H.A.; Khalaj, B.H.)
Abstract	Recently, the problem of resource allocation for achieving optimal multicast throughput has become of high interest. In this paper, we consider scenarios in which the utility function is an arbitrary, rather than concave function of multicast rate and specifically apply the proposed algorithm to the multicast problem in CDMA wireless networks. By using a combination of probability collectives (PC) method and network coding, a new cross-layer optimization approach which converges to a sub-optimal solution is proposed. This solution has been achieved by decomposing the original problem into data routing sub-problems at the network layer and power allocation sub-problems at the physical layer. These sub-problems are then coupled through a set of Lagrangian multipliers and each sub- problem is solved in a distributed fashion. It will also be shown that if the utility function is concave or monotonic, the proposed approach converges to a near optimal solution.
Starting Page	617
Ending Page	621
File Size	350513
Page Count	5
File Format	PDF
ISBN	9781424409785
DOI	10.1109/ISWCS.2007.4392414
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-10-17
Publisher Place	Norway
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Multicast algorithms Wireless networks Optimization methods Network coding Throughput Routing Physical layer Multiaccess communication Resource management Lagrangian functions
Content Type	Text
Resource Type	Article

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