Open AccessSelf‐optimising intelligent distributed antenna system for geographic load balancing
Author(s) -
Hejazi Seyed Amin,
Stapleton Shawn P.
Publication year - 2014
Publication title -
iet communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.355
H-Index - 62
eISSN - 1751-8636
pISSN - 1751-8628
DOI - 10.1049/iet-com.2014.0012
Subject(s) - computer science , load balancing (electrical power) , computer network , distributed computing , wireless network , virtual network , base station , key (lock) , wireless , telecommunications , geometry , mathematics , grid , computer security
Increase in number of mobile users, generates unbalanced load traffic in wireless network. In this study, a load‐balancing solution is investigated in order to optimise quality of service. An intelligent distributed antenna system (IDAS) fed by a base transceiver station (BTS) has the ability to distribute the cellular capacity over a given geographic area depending on the time‐varying traffic. A virtual cell network is an IDAS with capacity routing capability. To enable load balancing among distributed antenna modules, the authors dynamically allocate the remote antenna modules to the BTS sectors. A self‐organised network of virtual cells is formulated as an optimisation problem, which attempts to balance traffic load and minimises the hand‐offs as two important cost factors in the network. Two evolutionary algorithms are proposed for optimisation: genetic algorithm and estimation distribution algorithm. Computational results of different traffic scenarios after performing the algorithms, demonstrate that the two algorithms attain excellent key performance indicators for small‐scale networks.