A wireless fair service algorithm for packet cellular networks
MobiCom '98 Proceedings of the 4th annual ACM/IEEE international conference on Mobile computing and networking
The IEEE 802.11 Handbook: A Designer's Companion
The IEEE 802.11 Handbook: A Designer's Companion
A Rate-Adaptive MAC Protocol for Wireless Networks
A Rate-Adaptive MAC Protocol for Wireless Networks
Modern Wireless Communication
Fairness and load balancing in wireless LANs using association control
Proceedings of the 10th annual international conference on Mobile computing and networking
An optimal station association policy for multi-rate ieee 802.11 wireless lans
Proceedings of the 10th ACM Symposium on Modeling, analysis, and simulation of wireless and mobile systems
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Proceedings of the 11th international symposium on Modeling, analysis and simulation of wireless and mobile systems
Dynamic association in IEEE 802.11 based wireless mesh networks
ISWCS'09 Proceedings of the 6th international conference on Symposium on Wireless Communication Systems
AP Association for Proportional Fairness in Multirate WLANs
IEEE/ACM Transactions on Networking (TON)
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Many wireless local area network (WLAN) performance estimations are done with the assumption of uniformly distributed stations (STAs). In practice, on the contrary STAs are distributed unevenly among access points (APs), causing hot-spots and under utilized APs in a wireless network. Considering a WLAN is made up of multiple APs, having some APs carrying excessive loads (i.e. hot-spots) degrades both the considered APs as well as the overall network performance. The system performance can be improved by associating incoming STAs effectively throughout the network, in a sense to balance the network load evenly between APs and relieve the hot-spot congestion. Currently employed user association method in IEEE 802.11 WLANs considers only the received signal strength of APs at STAs, and associates STAs to the closest (in signal strength sense) AP, ignoring its load and interference value.Novel user association algorithms are required for congestion relief and network performance improvement. In this work, a new distributed association algorithm taking into consideration not only the received signal strength of the APs at STAs but also AP loadings and interference is proposed. A new AP load calculation method acknowledging the interference between STAs and APs is presented. Our simulations demonstrate that the proposed algorithm can improve the overall system throughput performance more than 50% and offers a better load distribution across the network compared to conventional association algorithm.