Open AccessDiscrete bacterial foraging optimization for resource allocation in macrocell‐femtocell networks
Author(s) -
Lalin Heng,
Mustika I Wayan,
Setiawan Noor Akhmad
Publication year - 2018
Publication title -
etri journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.295
H-Index - 46
eISSN - 2233-7326
pISSN - 1225-6463
DOI - 10.4218/etrij.2017-0131
Subject(s) - macrocell , femtocell , foraging , computer science , resource allocation , optimal foraging theory , distributed computing , computer network , mathematical optimization , biology , ecology , mathematics , base station
Femtocells are good examples of the ultimate networking technology, offering enhanced indoor coverage and higher data rate. However, the dense deployment of femto base stations ( FBS s) and the exploitation of subcarrier reuse between macrocell base stations and FBS s result in significant co‐tier and cross‐tier interference, thus degrading system performance. Therefore, appropriate resource allocations are required to mitigate the interference. This paper proposes a discrete bacterial foraging optimization ( DBFO ) algorithm to find the optimal resource allocation in two‐tier networks. The simulation results showed that DBFO outperforms the random‐resource allocation and discrete particle swarm optimization ( DPSO ) considering the small number of steps taken by particles and bacteria.