An exact algorithm for a resource allocation problem in mobile wireless communications

Adam N. Letchford (), Qiang Ni () and Zhaoyu Zhong ()
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Adam N. Letchford: Lancaster University
Qiang Ni: Lancaster University
Zhaoyu Zhong: Lancaster University

Computational Optimization and Applications, 2017, vol. 68, issue 2, No 1, 193-208

Abstract: Abstract We consider a challenging resource allocation problem arising in mobile wireless communications. The goal is to allocate the available channels and power in a so-called OFDMA system, in order to maximise the transmission rate, subject to quality of service constraints. Standard MINLP software struggled to solve even small instances of this problem. Using outer approximation, perspective cuts and several implementation “tricks”, we are able to solve realistic instances in about one minute. A novel ingredient of our algorithm is what we call pre-emptive cut generation: the generation of cutting planes that are not violated in the current iteration, but are likely to be violated in subsequent iterations.

Keywords: Mixed-integer nonlinear programming; Mobile wireless communications; OFDMA systems (search for similar items in EconPapers)
Date: 2017
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DOI: 10.1007/s10589-017-9914-9

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