异构认知网络中基于非随机接入方式的对等接入策略分析

Analysis of Reciprocal Access Scheme Based on Non-random Access Protocol in Heterogeneous Cognitive Networks

针对无线网络环境中的异构网络提出了一种基于非随机接入方式的频谱接入策略——对等接入策略,其中两个异构网络关系是平等的,网络中的授权用户具有认知功能,并且一个网络中的授权用户能动态地接入另一个网络进行通信.利用连续时间马尔科夫模型表征用户行为,并根据用户的阻塞概率和强制中断概率衡量系统性能,分析系统中用户的吞吐量.与传统非共享接入策略进行对比,仿真结果表明对等接入策略能提高系统性能.

An opportunistic spectrum access scheme, reciprocal access scheme, based on non-random access protocol for heterogeneous networks is proposed. A case is considered, in which the users of these two heterogeneous reciprocal networks have cognitive functions, and they can access each other dynamically. Users＇ behavior is modeled by a continuous-time Markov model. Moreover, probabilities of blocked and forced ter- mination of users in the two heterogeneous cognitive networks are derived as the performance metrics. In addition, throughput of users is evaluated. Performance of the reciprocal access scheme is compared with the traditional non-shared access scheme. The results show that the system performance can benefit from the proposed scheme.