TY - JOUR
T1 - Distributed approximation of cellular coverage
AU - Patt-Shamir, Boaz
AU - Rawitz, Dror
AU - Scalosub, Gabriel
PY - 2008
Y1 - 2008
N2 - We consider the following model of cellular networks. Each base station has a given finite capacity, and each client has some demand and profit. A client can be covered by a specific subset of the base stations, and its profit is obtained only if its demand is provided in full. The goal is to assign clients to base stations, so that the overall profit is maximized subject to base station capacity constraints. In this work we present a distributed algorithm for the problem, that runs in polylogarithmic time, and guarantees an approximation ratio close to the best known ratio achievable by a centralized algorithm.
AB - We consider the following model of cellular networks. Each base station has a given finite capacity, and each client has some demand and profit. A client can be covered by a specific subset of the base stations, and its profit is obtained only if its demand is provided in full. The goal is to assign clients to base stations, so that the overall profit is maximized subject to base station capacity constraints. In this work we present a distributed algorithm for the problem, that runs in polylogarithmic time, and guarantees an approximation ratio close to the best known ratio achievable by a centralized algorithm.
UR - http://www.scopus.com/inward/record.url?scp=58849113140&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-92221-6_22
DO - 10.1007/978-3-540-92221-6_22
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AN - SCOPUS:58849113140
SN - 0302-9743
VL - 5401 LNCS
SP - 331
EP - 345
JO - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
JF - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
T2 - 12th International Conference on Principles of Distributed Systems, OPODIS 2008
Y2 - 15 December 2008 through 18 December 2008
ER -