Optimized resource allocation and time partitioning for integrated communication, sensing, and edge computing network

The diverse computational tasks generated from advanced applications are becoming more difficult to process by mobile user equipments due to their limited computing capability and battery supply. With the fast development of wireless technology and infrastructure, edge computing is becoming a paradigm to alleviate these problems by offloading the computation tasks to the edge nodes with more computation resources. In addition, the integrated sensing and communication is a promising technology, where the wireless communication and radar sensing share unified hardware platform and radio resources. In this paper, the capabilities of communication, radar sensing and edge computing are integrated together in the proposed base station architecture to support the comprehensive services of data transmission, target sensing, and edge computing. Based on the proposed scheme, a resource allocation and time partitioning problem is investigated to jointly optimize time partitioning, computation task processing mode selection, spectrum resource allocation and target sensing location selection to maximize the weighted sum of task processing and communication performance while guaranteeing the radar sensing performance. Since the problem is non-convex, we decouple the primal problem into three subproblems which are solved separately. Simulation results show that our proposed scheme outperforms the typical relevant schemes and can converge within an acceptable iterations.