Collaborative Cloud and Edge Mobile Computing in C-RAN Systems With Minimal End-to-End Latency

Mobile cloud and edge computing protocols make it possible to offer computationally heavy applications mobile devices via computational offloading from nearby servers or more powerful, but remote, servers. Previous work assumed that tasks can be fractionally offloaded at both processor (CP) a local node (EN) within conventional Distributed Radio Access Network (D-RAN) relies on non-cooperative ENs equipped with one-way uplink fronthaul connection the cloud. In this paper, we propose integrate collaborative fractional across CP Cloud RAN (C-RAN) architecture finite-capacity two-way links. Accordingly, by device partially carried out an EN CP, multiple communicating common exchange data outcomes while allowing for centralized precoding decoding. Unlike prior work, investigate joint optimization of communication resources, including wireless segments, minimize end-to-end latency accounting downlink transmission. The problem is tackled using programming (FP) matrix FP. Extensive numerical results validate performance gain proposed as compared previously studied D-RAN solution.