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Distributed throughput optimization for heterogeneous IEEE 802.11 DCF networks

机译:异构IEEE 802.11 DCF网络的分布式吞吐量优化

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摘要

For IEEE 802.11 DCF networks in ad-hoc mode, how to achieve the maximum throughput in a distributed manner draws much attention in previous studies. The problem becomes challenging for partially-saturated heterogeneous networks with multiple groups, as the optimal access parameters not only depend on the group size of saturated groups but also the aggregate input rate of all the unsaturated groups, both of which are hard to obtain without a central controller. In this paper, a novel distributive scheme is proposed for partially-saturated heterogeneous IEEE 802.11 DCF networks to achieve the maximum network throughput. With the proposed scheme, each saturated transmitter can obtain the optimal initial backoff window size distributively by two estimation rounds. In each estimation round, each saturated transmitter only needs to count the number of busy intervals and ACK frames on the channel. For fully-saturated networks, only one estimation round is needed. It is shown by extensive simulations that the proposed scheme can achieve the maximum network throughput in a distributive manner.
机译:对于ad-hoc模式下的IEEE 802.11 DCF网络,如何以分布式方式实现最大吞吐量在以前的研究中引起了很多关注。对于具有多个组的部分饱和的异构网络,该问题变得具有挑战性,因为最佳访问参数不仅取决于饱和基团的组大小,而且还取决于所有不饱和基团的总输入速率,而如果不使用这些参数,则很难获得这两者。中央控制器。本文针对部分饱和的异构IEEE 802.11 DCF网络提出了一种新的分布式方案,以实现最大的网络吞吐量。利用所提出的方案,每个饱和发射机可以通过两个估计回合来分布式地获得最佳初始退避窗口大小。在每个估计回合中,每个饱和的发射机仅需要计算信道上的忙间隔和ACK帧的数量。对于完全饱和的网络,仅需要进行一轮估算。大量的仿真表明,该方案可以以分布式的方式实现最大的网络吞吐量。

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