Utilizing multi-hop neighbor information in spectrum allocation for wireless networks
IEEE Transactions on Wireless Communications
On the throughput allocation for proportional fairness in multirate IEEE 802.11 DCF
CCNC'09 Proceedings of the 6th IEEE Conference on Consumer Communications and Networking Conference
A distributed channel assignment protocol for rate separation in wireless mesh networks
Computer Communications
Mitigating performance anomaly of TFRC in multi-rate IEEE 802.11 wireless LANs
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
IEEE Transactions on Wireless Communications
MAC-layer time fairness across multiple wireless LANs
INFOCOM'10 Proceedings of the 29th conference on Information communications
On load adaptation for multirate multi-AP multimedia WLAN-based cognitive networks
WD'09 Proceedings of the 2nd IFIP conference on Wireless days
Incorporating traffic dependency information in distributed spectrum allocation
MILCOM'09 Proceedings of the 28th IEEE conference on Military communications
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Under a multi rate network scenario, the IEEE 802.11 DCF MAC fails to provide air-time fairness for all competing stations since the protocol is designed for ensuring max-min throughput fairness and the maximum achievable throughput by any station gets bounded by the slowest transmitting peer. In this paper, we present an analytical model to study the delay and throughput characteristics of such networks so that rate anomaly problem of IEEE DCF multi-rate networks could be mitigated. We call our proposal as Time Fair CSMA (TFCSMA) which utilizes an interesting baseline property of estimating a target throughput for each competing station so that its minimum contention window could be mitigated in a distributed manner. As opposed to the previous work in this area, TFCSMA is ideally suited for practical scenarios where stations frequently adapt their data rates to changing channel conditions. In addition, TFCSMA also accounts for packet errors due to the time varying properties of the wireless channel. We thoroughly compare the performance of our proposed protocol with IEEE 802.11 and other existing protocols, under different network scenarios and traffic conditions. Our comprehensive simulations validate the efficacy of our method towards providing high throughput and time fair channel allocation.