Paper Info
Title
Distributed Resource Optimization In Multicell Ofdma Networks
Abstract
We consider the joint allocation of receiver, bit, and power to subcarriers in the downlink of multicell orthogonal frequency-division multiple-access (OFDMA) networks. Assuming that the cells share the entire bandwidth and that the rates are discrete, we formulate the joint allocation problem as a nonlinear mixed integer program (MIP), which however has exponential worst-case complexity. We capitalize on the capability of the receivers to measure the interference-plus-noise on every subcarrier and decompose the joint problem into a set of smaller-scale linear MIPs solved by individual base stations. Accordingly, we propose a distributed algorithm with linear complexity, in which the base stations participate in the problem solution in a round-robin manner. Simulation results demonstrate the effectiveness of the proposed algorithm in comparison with the iterative waterfilling algorithm and the successive optimal solution, by means of standard branch-and-cut solvers, of the individual MIPs.
Year
DOI
Venue
2012
10.1109/WCNC.2012.6213982
2012 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC)
Keywords
Field
DocType
ofdm modulation,optimization,receiver,distributed algorithms,resource management,integer programming,nonlinear programming,branch and cut,ofdm,communication complexity,radio receivers,downlink,interference,distributed algorithm,base station,iterative methods,communication systems,resource manager,subcarrier
Subcarrier,Mathematical optimization,Iterative method,Computer science,Nonlinear programming,Communication complexity,Distributed algorithm,Integer programming,Frequency-division multiple access,Orthogonal frequency-division multiplexing
Conference
ISSN
Citations 
PageRank 
1525-3511
4
0.42
References 
Authors
11
2
Name
Order
Citations
PageRank
Mohammad Fathi1113.99
Eleftherios Karipidis242934.53