Optimal cooperative water-filling power allocation for OFDM system

Hui Wang, Qimei Cui, Xiaofeng Tao, Mikko Valkama, Y. Jay Guo

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

3 Citations (Scopus)

Abstract

It is well known that traditional water-filling provides a closed form solution for capacity maximization in orthogonal frequency division multiplex (OFDM) system. In this paper, cooperative power allocation is investigated in a two-transmitter multi-receiver model for OFDM systems. The local full channel state information (CSI) is available at the two transmitters respectively, where each transmitter has an individual power constrain. The transmitters first cooperate by sharing CSI, and then jointly optimize power allocation in the metric of sum throughput, which can be modeled as a convex optimization problem. Through an application of Karush-Kuhn-Tucker (KKT) conditions, the convex optimization problem is reformulated as a simplified convex one. Then the closed form solution is derived, which takes a form similar to classic water-filling principle. Based on the solution, the optimal cooperative power allocation algorithm is constructed, the structure of which can be explained as a cooperative water-filling relative to the traditional water-filling. Finally, numerical simulation is given to evaluate and demonstrate the performance of the optimal cooperative water-filling scheme.

Original languageEnglish
Title of host publicationWCNC 2013
Subtitle of host publicationIEEE Wireless Communications and Networking Conference : proceedings
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages3742-3747
Number of pages6
ISBN (Print)9781467359399
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event2013 IEEE Wireless Communications and Networking Conference, WCNC 2013 - Shanghai, China
Duration: 7 Apr 201310 Apr 2013

Other

Other2013 IEEE Wireless Communications and Networking Conference, WCNC 2013
CountryChina
CityShanghai
Period7/04/1310/04/13

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