Achieving fairness for multi-class traffic in directional multi-interface IEEE 802.11s MCCA

Sandip Chakraborty, Sukumar Nandi
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引用次数: 1

Abstract

IEEE 802.11s mesh network is an efficient technology to provide last mile broadband wireless connectivity using multi-hop mesh communications. Uses of directional antennas increase the performance of mesh network considerably by spatial reuse. IEEE 802.11s MCCA provides equal air-time usage to mesh points using a dynamic TDMA based channel reservation mechanism. However, this does not provide effective Quality of Service for multi-class traffics, where traffics should be forwarded based on their priority. For multi-hop wireless mesh network, end-to-end flow control alone can not solve traffic prioritization, and MAC layer support is required for effective use of wireless channel. In this paper, a joint optimization of end-to-end flow rate and link layer channel access is modeled as a non-linear problem considering the interference model for directional antenna based mesh network. A distributed mechanism is used to solve the optimization using penalty based gradient search method. Simulation results are provided to justify the effectiveness of proposed scheduling mechanism.
实现双向多接口IEEE 802.11s MCCA中多类流量的公平性
IEEE 802.11s网状网络是一种利用多跳网状通信提供最后一英里宽带无线连接的有效技术。定向天线的使用通过空间复用大大提高了网状网络的性能。IEEE 802.11s MCCA使用基于动态TDMA的信道保留机制为网状点提供了相等的无线时间使用。但是,这不能为多级流量提供有效的服务质量,因为多级流量应该根据其优先级进行转发。对于多跳无线网状网络,单靠端到端流量控制无法解决流量的优先级问题,需要MAC层的支持才能有效利用无线信道。本文考虑定向天线网状网络的干扰模型,将端到端流量和链路层信道接入的联合优化建模为非线性问题。采用基于惩罚的梯度搜索方法,采用分布式机制求解优化问题。仿真结果验证了所提调度机制的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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