Optimization flow control—I: basic algorithm and convergence
IEEE/ACM Transactions on Networking (TON)
Dynamic tuning of the IEEE 802.11 protocol to achieve a theoretical throughput limit
IEEE/ACM Transactions on Networking (TON)
A rate-adaptive MAC protocol for multi-Hop wireless networks
Proceedings of the 7th annual international conference on Mobile computing and networking
The stable paths problem and interdomain routing
IEEE/ACM Transactions on Networking (TON)
Opportunistic media access for multirate ad hoc networks
Proceedings of the 8th annual international conference on Mobile computing and networking
IEEE 802.11 rate adaptation: a practical approach
MSWiM '04 Proceedings of the 7th ACM international symposium on Modeling, analysis and simulation of wireless and mobile systems
Hybrid rate control for IEEE 802.11
Proceedings of the second international workshop on Mobility management & wireless access protocols
Robust rate adaptation for 802.11 wireless networks
Proceedings of the 12th annual international conference on Mobile computing and networking
Novel collision detection scheme and its applications for IEEE 802.11 wireless LANs
Computer Communications
Low-overhead channel-aware rate adaptation
Proceedings of the 13th annual ACM international conference on Mobile computing and networking
Reverse-Engineering MAC: A Non-Cooperative Game Model
IEEE Journal on Selected Areas in Communications
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Rate adaptation algorithms play a crucial role in IEEE 802.11 WLANs. While the network performance depends greatly on the rate adaptation algorithms, the detailed implementation is left to vendors. Due to its simplicity and practicality, the generic rate adaptation algorithm based on up/down thresholds is widely adopted in commercial IEEE 802.11 devices. Taking the popular ARF algorithm for example, the data rate is increased when ten consecutive transmissions are successful and a date rate downshift is triggered by two consecutive failed transmissions. Although widely deployed, disclosing the implicit objective function that the rate adaptation algorithm is dynamically maximizing, remains as an open problem in the literature. In this paper, we investigate the thresholds-based rate adaptation algorithm via a reverse engineering perspective where the implicit objective function is revealed.We consider this reverse engineering study of the thresholds-based rate adaptation algorithm as an important first step towards a comprehensive understanding on the rate adaptation mechanism designs and the complex interactions among multiple IEEE 802.11 stations.