2005 IEEE 61st Vehicular Technology Conference
DOI: 10.1109/vetecs.2005.1543695
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Load Balancing for QoS Optimisation in Wireless LANs Utilising Advanced Cell Breathing Techniques

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Cited by 25 publications
(19 citation statements)
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“…The results show that this scheme increases the total wireless throughput and decreases the cell delay. Load balancing mechanisms present an element of congestion relief to those APs with a high density of users [7]. Haidar et al [2] proposed a new load balancing algorithm based on power management of APs to reduce congestion at hot spots in WLANs.…”
Section: Previous Workmentioning
confidence: 99%
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“…The results show that this scheme increases the total wireless throughput and decreases the cell delay. Load balancing mechanisms present an element of congestion relief to those APs with a high density of users [7]. Haidar et al [2] proposed a new load balancing algorithm based on power management of APs to reduce congestion at hot spots in WLANs.…”
Section: Previous Workmentioning
confidence: 99%
“…Unbalanced load can to make overloading and network congestion [4]. Load balancing in WLANs is the evaluation of associations in mobile stations at time t k dynamically, and then try to detecting optimal set of mobile stations (MS) under each AP focus on estimation of the states of mobile stations at time t k+1 [7].…”
Section: Introductionmentioning
confidence: 99%
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“…Cell breathing techniques consist in dynamically modifying cell dimensions usually increasing or reducing transmitted power. The concept of cell breathing for load balancing in WLANs is explained in [14]: a highly congested AP reduces its coverage radius so that the furthest stations lose connectivity and try to roam to a neighboring AP (less loaded). An underutilized AP may increase its transmit power in order to expand its coverage.…”
Section: Load Balancing In Wlansmentioning
confidence: 99%
“…Channel assignment and load balancing in IEEE 802.11 WLANs have attracted attention of both industry and academic community [1,2,3,4,6]. In [1,2] an approach is proposed to minimize AP congestion using an Integer Linear Program (ILP).…”
Section: Introductionmentioning
confidence: 99%