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2004
ACM

A comparison of randomized and evolutionary approaches for optimizing base station site selection

7 years 4 months ago
A comparison of randomized and evolutionary approaches for optimizing base station site selection
It is increasingly important to optimally select base stations in the design of cellular networks, as customers demand cheaper and better wireless services. From a set of potential site locations, a subset needs to be selected which optimizes two critical objectives: service coverage and financial cost. As this is an NP-hard optimization problem, heuristic approaches are required for problems of practical size. Our approach consists of two phases which act upon a set of candidate site permutations at each generation. Firstly, a sequential greedy algorithm is designed to commission sites from an ordering of candidate sites, subject to satisfying an alterable constraint. Secondly, an evolutionary optimization technique, which is tested against a randomized approach, is used to search for orderings of candidate sites which optimize multiple objectives. The two-phase strategy is vigorously tested and the results delineated. Keywords Cell planning, base station selection, multiple objecti...
Larry Raisanen, Roger M. Whitaker, Steve Hurley
Added 30 Jun 2010
Updated 30 Jun 2010
Type Conference
Year 2004
Where SAC
Authors Larry Raisanen, Roger M. Whitaker, Steve Hurley
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