A Combination of Cloud Radio Accessing Networks and Mobile Cloud Computing for Remote Cloud Computing Services

In this research, a holistic approach is presented for remote cloud computing services which combines Cloud Radio Accessing Networks (C-RAN) and Mobile Cloud Computing (MCC). In specific, how C-RAN functions continuously employed to boost the efficiency of MCC services on wireless networks of the next decade is learned. The channel state knowledge is obsolete and is an inherent obstacle and if the Channel State Information (CSI) is extended then only the sub-optimally C-RAN operations could be carried out. In a stochastic optimization system, this can be formulated as the issue of the topology designs. This system maximizes the amount of MCC resources with limitations to the response latency for each MCC customer. An optimum path on probabilistic optimization will be given with low measurement costs. Offline and online architectures are created based on the optimization approach. Based on the findings of the simulation, the architecture and function of the future mobile accessing wireless networks will substantially be impacted by cloud computing by the advent of MCC and C-RAN technology, and the proposed scheme will allow substantial efficiency improvements over current systems.