基于异构多中继网络的压缩转发系统

提出了一种异构多中继压缩转发系统理论模型，其中继节点将模拟信号量化压缩成数字信号后，以不同功率经高斯信道发送给目的节点，目的节点经合并译码得到信源节点信息的估计值。然后对该种模型提出了相应的理论分析框架，并根据高斯信源（Chief executive officer,CEO）问题和香农信道容量理论推导出系统模型的表达式。最后结合总功率受限的情况，在信源节点与中继节点之间进行了功率分配，使得系统性能最优。仿真结果表明，该系统的信噪比性能优于同条件下的放大转发系统。

Compress-and-Forward System Based on Heterogeneous Multi-Relay Network

A model of compress-and-forward system based on heterogeneous multi-relay network is presented, in which relays compress and encode the received analog signals and transmit them into digital signals, then forward to the destination over Gaussian noise channels with different powers. The destination jointly decodes the received digital signal and yields the estimation of the original signal. Theoretical analysis framework is presented and the expression of the system is derived based on the chief executive officer(CEO) problem of Gaussian source and Shannon channel capacity theory. Subsequently, the power allocation is proposed under the constraint of total system power to maximize the SNR performance. Simulation result verifies that, the SNR performance of the proposed compress-and-forward system outperforms that of the traditional amplify-and-forward system.