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Adaptive power-controlled MAC protocols for improved throughput in hardware-constrained cognitive radio networks

机译:自适应功率控制MAC协议,可在硬件受限的认知无线电网络中提高吞吐量

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Cognitive radios (CRs) are emerging as a promising technology to enhance spectrum utilization through opportunistic on-demand access. Many MAC protocols for cognitive radio networks (CRNs) have been designed assuming multiple transceivers per CR user. However, in practice, such an assumption comes at the cost of extra hardware. In this paper, we address the problem of assigning channels to CR transmissions in single-hop and multi-hop CRNs, assuming one transceiver per CR. The primary goal of our design is to maximize the number of feasible concurrent CR transmissions, and conserve energy as a secondary objective, with respect to both spectrum assignment and transmission power subject to interference constraint and user rate demands. The problem is formulated under both binary-level and multi-level spectrum opportunity frameworks. Our formulation applies to any power-rate relationship. For single-hop CRNs, a centralized polynomial-time algorithm based on bipartite matching that computes the optimal channel assignment is developed. We then integrate this algorithm into distributed MAC protocols that preserve fairness. For multi-hop ad hoc CRNs, we propose a novel distributed MAC protocol (WFC-MAC) that attempts to maximize the CRN throughput, assuming single transceiver radios but with "dual-receive" capability. WFC-MAC uses a cooperative assignment that relies only on information provided by the two communicating users. The main novelty in WFC-MAC lies in requiring no active coordination with licensed users and exploiting the dual-receive capability of radios, thus alleviating various channel access problems that are common to multi-channel designs. We conduct theoretical analysis of our MAC protocols, and study their performance via simulations. The results indicate that compared with CSMA/CA variants, our protocols significantly decrease the blocking rate of CR transmissions, and hence improve network throughput.
机译:认知无线电(CR)逐渐成为一种有前途的技术,可以通过机会性按需访问来提高频谱利用率。在假定每个CR用户使用多个收发器的情况下,已经设计了许多用于认知无线电网络(CRN)的MAC协议。但是,实际上,这种假设是以额外的硬件为代价的。在本文中,我们假设为每个CR分配一个收发器,以解决在单跳和多跳CRN中为CR传输分配信道的问题。我们设计的主要目标是在受到干扰约束和用户速率要求的情况下,就频谱分配和发射功率而言,最大化可行的并发CR传输数量,并将能量节省作为次要目标。该问题是在二进制级别和多级别频谱机会框架下提出的。我们的公式适用于任何电价关系。对于单跳CRN,开发了一种基于二分匹配的集中式多项式时间算法,用于计算最佳信道分配。然后,我们将此算法集成到保留公平性的分布式MAC协议中。对于多跳自定义CRN,我们提出了一种新颖的分布式MAC协议(WFC-MAC),该协议试图最大程度地提高CRN吞吐量,并假设使用单个收发器无线电但具有“双接收”功能。 WFC-MAC使用仅依赖于两个通信用户提供的信息的协作分配。 WFC-MAC的主要新颖之处在于,它无需与许可用户进行主动协调,并利用无线电的双重接收功能,从而减轻了多信道设计中常见的各种信道访问问题。我们对MAC协议进行理论分析,并通过仿真研究其性能。结果表明,与CSMA / CA变体相比,我们的协议显着降低了CR传输的阻塞率,从而提高了网络吞吐量。

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