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万鹏俊, 万志国. 多信道多无线电无线网络的网络容量最大化研究[J]. 计算机科学技术学报, 2014, 29(5): 901-909. DOI: 10.1007/s11390-014-1477-y
引用本文: 万鹏俊, 万志国. 多信道多无线电无线网络的网络容量最大化研究[J]. 计算机科学技术学报, 2014, 29(5): 901-909. DOI: 10.1007/s11390-014-1477-y
Pengjun Wan, Zhi-Guo Wan. Maximizing Networking Capacity in Multi-Channel Multi-Radio Wireless Networks[J]. Journal of Computer Science and Technology, 2014, 29(5): 901-909. DOI: 10.1007/s11390-014-1477-y
Citation: Pengjun Wan, Zhi-Guo Wan. Maximizing Networking Capacity in Multi-Channel Multi-Radio Wireless Networks[J]. Journal of Computer Science and Technology, 2014, 29(5): 901-909. DOI: 10.1007/s11390-014-1477-y

多信道多无线电无线网络的网络容量最大化研究

Maximizing Networking Capacity in Multi-Channel Multi-Radio Wireless Networks

  • 摘要: 为每个节点提供一个或多个多信道无线电是一种很有希望的提高网络容量的方法。该方法是通过不同无线电接口同时使用多个非重叠信道,并通过适当的信道分配减少干扰。然而,有效地使用多信道和/或多无线电以最大化通信总量是很具有挑战性的。在协议干扰模式下,国家自然科学基金委员会项目61128005就多信道多无线电无线网络中无线网络能力最大化问题,在协议干扰模型下进行了广泛的算法理论和排队理论研究,并取得的了基础性的进展。此外,在众所周知很难的物理干扰模型下,此项目在有或者没有电源控制的情况下、网络容量的最大化进行了初步的算法研究。笔者期望此项目中研发的技术与工具将在容量规划,资源分配与共享,以及无线网络协议设计中得到广泛运用,并为具备先进功能的无线网络(如多输入多输出无线网络)将来的算法开发奠定基础。

     

    Abstract: Providing each node with one or more multi-channel radios offers a promising avenue for enhancing the network capacity by simultaneously exploiting multiple non-overlapping channels through different radio interfaces and mitigating interferences through proper channel assignment. However, it is quite challenging to effectively utilize multiple channels and/or multiple radios to maximize throughput capacity. The NSFC Project 61128005 conducted comprehensive algorithmic-theoretic and queuing theoretic studies of maximizing wireless networking capacity in multi-channel multi-radio (MC-MR) wireless networks under the protocol interference model and fundamentally advanced the state of the art. In addition, under the notoriously hard physical interference model this project has taken initial algorithmic studies on maximizing the network capacity, with or without power control. We expect the new techniques and tools developed in this project will have wide applications in capacity planning, resource allocation and sharing, and protocol design for wireless networks, and will serve as the basis for future algorithm developments in wireless networks with advanced features, such as multi-input multi-output (MIMO) wireless networks.

     

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