认知无线电网络下基于协同ARQ反馈频谱共享策略  

Spectrum Sharing Strategy Based on Cooperative ARQ Feedback in Cognitive Radio Networks

在线阅读下载全文

作  者:张奇奇 黎锁平[1] 张仕明 

机构地区:[1]兰州理工大学理学院,甘肃 兰州 [2]甘肃省水务投资有限责任公司,甘肃 兰州

出  处:《计算机科学与应用》2021年第5期1245-1255,共11页Computer Science and Application

摘  要:为了提高认知无线电网络的性能,在认知无线电网络下提出了一种频谱共享策略,在这种策略下次级用户可以在基于自动重发请求(ARQ)反馈信息的情况下与主用户共存,提出了协同与接入频谱共享模式,次级系统能够在协同与接入两种模式下交互,在协同模式下,次级用户辅助主用户传输,降低了主用户的冗余传输,建立了主次用户传输状态的马尔科夫链,推导出了稳态下的系统吞吐量表达式。接入模式下,当主用户返回了一个否定应答(NACK)时,主用户要进行重传,在重传时期实现了主次用户的同时传输,次级用户获得了频谱接入机会,分析了接入模式下的吞吐量增益。利用MATLAB软件对系统吞吐量性能进行了数值对比验证,结果表明在共享策略下系统吞吐量更高。In order to improve the performance of cognitive radio network, spectrum sharing strategy is proposed in the cognitive radio network. Under this strategy, the secondary user can coexist with the primary user based on the automatic retransmission request (ARQ) feedback information. The spectrum sharing mode of cooperation and access is proposed. The secondary system can interact in the two modes of cooperation and access. In the cooperative mode, the secondary user can assist the primary user (PU) transmission, and the redundant transmission of primary and secondary users is reduced. The Markov chain of primary and secondary user’s transmission state is established, and the system throughput expression in steady state is derived. In the access mode, when the primary user returns a NACK (negative acknowledgement), the primary user needs to retransmit. During the retransmission period, simultaneous transmission of the primary and secondary users is realized, and the secondary users get the opportunity of spectrum access. The throughput gain in the access mode is analyzed. MATLAB is used to compare and verify the system throughput perfor-mance. It can be concluded that the system has higher throughput under the sharing strategy.

关 键 词:认知无线电网络 频谱共享 协同与接入 马尔科夫链 吞吐量增益 

分 类 号:TN9[电子电信—信息与通信工程]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象