Compress-and-Forward Based Strategy in Overlay Cognitive Radio Channel with Partial CSIT

被引：0

作者：

Zhai, Jing ^{[1
]}

Xu, Wenbo ^{[1
]}

Guo, Wenbo ^{[1
]}

Niu, Kai ^{[1
]}

机构：

[1] Beijing Univ Posts & Telecommun, Key Lab Univ Wireless Commun, Minist Educ, Beijing 100876, Peoples R China

来源：

2014 IEEE 80TH VEHICULAR TECHNOLOGY CONFERENCE (VTC FALL) | 2014年

关键词：

Achievable rate; Linear assignment Gel'fand-Pinsker coding; Dirty paper coding; Partial CSIT; Cognitive radio; STATE INFORMATION; DIRTY PAPER; TRANSMITTER;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this paper, we consider an extension of the cognitive radio channel model in which the secondary transmitter has to obtain (learn) the primary message rather than having non-causal knowledge of it. We formulate an achievable rate region that combines elements of compress-and-forward relaying with coding for the pure cognitive radio channel model. Moreover, we provide parameters design that maximizes the secondary rate without affecting the primary rate in the Rician channel with partial channel state information at the transmitter (CSIT). Simulation results demonstrate that the proposed compress-and-forward based strategy achieves good performance.

引用

页数：5

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