有限反馈MIMO认知网络中的收发协同感知

Chao Wang, Zhaoyang Zhang, Xiaoming Chen, Yu-Xi Chau
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引用次数: 3

摘要

本文提出了一种基于MIMO认知网络的收发协同感知方案。与大多数传感方案仅在发送端使用先听后讲(LBT)相比,该方案通过联合反馈信道状态信息(CSI)和接收端感知信息(SI)来进一步提高系统性能。但在有限反馈情况下,要考虑量化对传感性能和信道容量的影响以及对主网的干扰。本文提出了一种权衡准则来为CSI和SI分配比特,从而在满足干扰约束的同时最大化MIMO链路容量。仿真结果验证了该方案的有效性。
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Transmitter-receiver cooperative sensing in MIMO cognitive network with limited feedback
In this paper, we proposed a novel sensing scheme so-called Transmitter-Receiver Cooperative Sensing in a MIMO cognitive network by combining sensing information of both sides. Compared with most of the existing sensing schemes which simply use listen-before talk (LBT) only at the transmitter side, the proposed scheme can further improve the system performance by jointly feedback the Channel State Information (CSI) and the Sensing information (SI) from the receiver. However, the quantization impact on the sensing performance and the channel capacity as well as the interference to primary network should be considered in the case of limited feedback. Here a tradeoff criterion is proposed to allocate bits for CSI and SI so as to maximize the MIMO link capacity while meeting the interference constraints. Simulation results are given to verify the effectiveness of the proposed scheme.
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