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首页> 外文期刊>Mobile Computing, IEEE Transactions on >Cooperative Pseudo-Bayesian Backoff Algorithms for Unsaturated CSMA Systems with Multi-Packet Reception
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Cooperative Pseudo-Bayesian Backoff Algorithms for Unsaturated CSMA Systems with Multi-Packet Reception

机译：具有多数据包接收的不饱和CSMA系统的协作伪贝叶斯退避算法

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摘要

This paper proposes efficient backoff algorithms for uplink multi-packet reception (MPR) capable IEEE 802.11 systems in order to maximize the system throughput. According to the proposed algorithms, each station (STN) estimates, in a Bayesian manner under an unsaturated channel traffic condition, the number of backlogged STNs sharing the multiple access channel to obtain an optimal (re)transmission probability. Additionally, an access point and associated STNs cooperate by exchanging information piggybacked in transmitted data packets and the corresponding acknowledgment packets. The mean and variance of the queuing delays of the proposed algorithms are extensively evaluated via simulations under various environments such as time-varying populations and various asymmetric traffic conditions and compared to those of the conventional binary exponential backoff (BEB) algorithm. Furthermore, the queuing performance of the proposed algorithms is compared to the queuing delay lower bound obtained from a system that has perfect knowledge of the backlog size. Numerical results demonstrate the robustness of the proposed algorithms in various environments, and that they outperform the BEB algorithm.
机译：本文提出了针对支持上行链路多分组接收（MPR）的IEEE 802.11系统的高效退避算法，以使系统吞吐量最大化。根据提出的算法，每个站（STN）在不饱和信道业务状况下以贝叶斯方式估计共享多路访问信道的积压STN的数量，以获得最佳（重发）传输概率。此外，接入点和关联的STN通过交换在传输的数据包和相应的确认包中piggy带的信息来进行协作。通过在各种环境（例如时变人口和各种非对称流量条件）下的仿真，对所提出算法的排队延迟的均值和方差进行了广泛评估，并将其与常规二进制指数退避（BEB）算法进行了比较。此外，将所提出算法的排队性能与从对积压大小有充分了解的系统获得的排队延迟下限进行了比较。数值结果证明了所提出算法在各种环境下的鲁棒性，并且其性能优于BEB算法。

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