Edge computing extends the service resources of cloud computing to the edge of the network, providing less latency and higher bandwidth utilization. The relay edge computing wireless network (RECWN) with intelligent edge device can effectively solve the problem of wireless signal transmission distance and attenuation. However, the relay node’s forwarding brings greater risks to the leakage of private information. In this article, we propose a homomorphic encryption and non-orthogonal multiple access (NOMA) based channel coding scheme to address the problem of stealing private information from users by incompletely trusted relay node or potential malicious nodes. Specifically, the homomorphic encryption algorithm is adopted to protect the privacy of users’ private information. Furthermore, the code domain NOMA and LDPC algorithm are introduced to compensate for the problem of drastic drop in communication performance caused by poor sub-channel conditions, thereby improving the efficiency of data transmission, and guaranteeing the users’ QoS requirements and fairness. The simulation results demonstrate that the proposed channel coding scheme has better performance than the existing approaches in terms of privacy preservation and data transmission efficiency.

中文翻译：

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基于同态加密和 NOMA 的中继边缘计算无线网络信道编码方案

边缘计算将云计算的服务资源延伸到网络边缘，提供更低的延迟和更高的带宽利用率。带有智能边缘设备的中继边缘计算无线网络（RECWN）可以有效解决无线信号传输距离和衰减问题。但是，中继节点的转发给隐私信息的泄露带来了更大的风险。在本文中，我们提出了一种基于同态加密和非正交多路访问 (NOMA) 的信道编码方案，以解决不完全可信中继节点或潜在恶意节点窃取用户隐私信息的问题。具体来说，采用同态加密算法来保护用户隐私信息的隐私。此外，引入码域NOMA和LDPC算法，弥补子信道条件差导致通信性能急剧下降的问题，从而提高数据传输效率，保证用户的QoS要求和公平性。仿真结果表明，所提出的信道编码方案在隐私保护和数据传输效率方面比现有方法具有更好的性能。