Data networks (2nd ed.)
Stable scheduling policies for fading wireless channels
IEEE/ACM Transactions on Networking (TON)
Performance of random medium access control, an asymptotic approach
SIGMETRICS '08 Proceedings of the 2008 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Improved bounds on the throughput efficiency of greedy maximal scheduling in wireless networks
Proceedings of the tenth ACM international symposium on Mobile ad hoc networking and computing
Network adiabatic theorem: an efficient randomized protocol for contention resolution
Proceedings of the eleventh international joint conference on Measurement and modeling of computer systems
IEEE/ACM Transactions on Networking (TON)
A distributed CSMA algorithm for throughput and utility maximization in wireless networks
IEEE/ACM Transactions on Networking (TON)
Approaching throughput-optimality in distributed CSMA scheduling algorithms with collisions
IEEE/ACM Transactions on Networking (TON)
FOCS '11 Proceedings of the 2011 IEEE 52nd Annual Symposium on Foundations of Computer Science
A tutorial on cross-layer optimization in wireless networks
IEEE Journal on Selected Areas in Communications
IEEE/ACM Transactions on Networking (TON)
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Recently, it has been shown that a simple, distributed backlog-based carrier-sense multiple access (CSMA) algorithm is throughput-optimal. However, throughput optimality is established under the perfect or ideal carrier-sensing assumption, i.e., each link can precisely sense the presence of other active links in its neighborhood. In this paper, we investigate the achievable throughput of the CSMA algorithm under imperfect carrier sensing. Through the analysis on both false positive and negative carrier sensing failures, we show that CSMA can achieve an arbitrary fraction of the capacity region if certain access probabilities are set appropriately. To establish this result, we use the perturbation theory of Markov chains.