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Complex Field Network Coding for Multi-Source Multi-Relay Single-Destination UAV Cooperative Surveillance Networks

机译:多源多中继单目的地无人机协同监视网络的复杂现场网络编码

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摘要

Relay-based cooperative communication for unmanned aerial vehicle (UAV) networks can obtain spatial diversity gains, expand coverage, and potentially increase the network capacity. A multi-source multi-relay single-destination structure is the main topology structure for UAV cooperative surveillance networks, which is similar to the structure of network coding (NC). Compared with conventional NC schemes, complex field network coding (CFNC) can achieve a higher throughput and is introduced to surveillance networks in this paper. According to whether there is a direct communication link between any source drone and the destination, the information transfer mechanism at the downlink is set to one of two modes, either mixed or relay transmission, and two corresponding irregular topology structures for CFNC-based networks are proposed. Theoretical analysis and simulation results with an additive white Gaussian noise (AWGN) channel show that the CFNC obtains a throughput as high as 1/2 symbol per source per channel use. Moreover, the CFNC applied to the proposed irregular structures under the two transmission modes can achieve better reliability due to full diversity gain as compared to that based on the regular structure. Moreover, the reliability of the CFNC scheme can continue to be improved by combining channel coding and modulation techniques at the expense of rate loss.
机译:用于无人飞行器(UAV)网络的基于中继的协作通信可以获得空间分集增益,扩大覆盖范围并潜在地增加网络容量。多源多中继单目标结构是无人机协同监视网络的主要拓扑结构,与网络编码(NC)的结构类似。与传统的NC方案相比,复杂现场网络编码(CFNC)可以实现更高的吞吐率,并将其引入监视网络。根据源无人机与目的地之间是否存在直接通信链路,将下行链路的信息传输机制设置为混合传输或中继传输两种模式中的一种,并且针对基于CFNC的网络使用两种相应的不规则拓扑结构建议。利用加性高斯白噪声(AWGN)通道进行的理论分析和仿真结果表明,CFNC每次使用每个源可获得高达1/2个符号的吞吐量。而且,与基于规则结构的分集增益相比,由于全分集增益,在两种传输模式下应用于所提出的不规则结构的CFNC可以获得更好的可靠性。此外,通过组合信道编码和调制技术,可以以速率损失为代价,继续提高CFNC方案的可靠性。

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