Fair end-to-end window-based congestion control
IEEE/ACM Transactions on Networking (TON)
Proceedings of the 6th ACM international symposium on Mobile ad hoc networking and computing
Measurement-based models of delivery and interference in static wireless networks
Proceedings of the 2006 conference on Applications, technologies, architectures, and protocols for computer communications
Geometric programming for communication systems
Communications and Information Theory
Reducing the Calibration Effort for Probabilistic Indoor Location Estimation
IEEE Transactions on Mobile Computing
A general model of wireless interference
Proceedings of the 13th annual ACM international conference on Mobile computing and networking
SMARTA: a self-managing architecture for thin access points
CoNEXT '06 Proceedings of the 2006 ACM CoNEXT conference
Online estimation of RF interference
CoNEXT '08 Proceedings of the 2008 ACM CoNEXT Conference
CENTAUR: realizing the full potential of centralized wlans through a hybrid data path
Proceedings of the 15th annual international conference on Mobile computing and networking
TCP performance optimization in multi-cell wireless local area networks
Proceedings of the 12th ACM international conference on Modeling, analysis and simulation of wireless and mobile systems
Back-of-the-Envelope Computation of Throughput Distributions in CSMA Wireless Networks
IEEE Transactions on Mobile Computing
Power Control By Geometric Programming
IEEE Transactions on Wireless Communications
A tutorial on decomposition methods for network utility maximization
IEEE Journal on Selected Areas in Communications
Reverse-Engineering MAC: A Non-Cooperative Game Model
IEEE Journal on Selected Areas in Communications
Low-complexity scheduling for wireless networks
Proceedings of the thirteenth ACM international symposium on Mobile Ad Hoc Networking and Computing
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In this paper, we study jointly the problems of rate control and contention resolution in multi-cell WLANs based on the IEEE 802.11 MAC protocol in the presence of hidden terminals. We adopt the network utility maximization (NUM) framework to formulate the problem as a nonlinear optimization problem. Unlike previous approaches that require maximal weight scheduling or target simple MAC protocols without hidden terminals, our problem formulation considers a realistic IEEE 802.11-based MAC layer model. The resulting formulation being non-convex, we propose a simple scheme to transform this non-convex problem into a convex one. We derive a simple distributed algorithm to solve the problem via Lagrangian dual decomposition. Our algorithm does not require exchanges of topology or spatial information about the mobile clients between APs. Practical issues like random backoff, carrier sensing, frame retransmission and optimal contention window (CW) setting are considered in our design. The effectiveness, accuracy and convergence speed of our analytically derived algorithm are verified via numerical experiments and simulations.