认知无线网络随机接入MAC协议建模与性能分析
doi: 10.3724/SP.J.1146.2012.01090
Modeling and Performance Analysis of Random Access MAC Protocols in Cognitive Radio Networks
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摘要: 该文采用马尔科夫链构建了认知无线网络随机接入MAC协议的数学模型,提出了一种协议分析的理论方案。该方案建立了信道的三状态马尔科夫链模型,通过引入授权信道限制率和稳态可用授权信道数的概念,解决了信道状态时变特性给理论分析带来的挑战;建立了基于离散2维马尔科夫链的信道协商模型,并考虑控制信道容量限制等约束条件,给出了协议饱和吞吐量的理论分析算法。仿真验证了所提方案的有效性,分析了协议性能与网络参数之间的数值关系。Abstract: A modeling and analysis scheme based on Markov chain for Random Access MAC (RA-MAC) protocol of cognitive radio networks are proposed. A three-state Markov chain model of channel is presented, while the problem of dynamic characteristic of channel is dealt with by introducing the channel constraint rate and the available channel number of stability. A channel negotiation model is designed based on discrete two-dimensional Markov chain. An algorithm to evaluate the saturation throughput of RA-MAC is presented, considering constraints of capacity of the control channel. The simulation results demonstrate the effectiveness of the proposals, and the relationship between protocol performance and parameters is analyzed.
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Key words:
- Cognitive radio networks /
- Random access /
- MAC protocol /
- Markov chain model
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