An Approach to Optimize Device Power Performance Towards Energy Efficient Next Generation 5G Networks In Fifth Generation (5G), wireless cellular networks, smartphone battery efficiency, and optimal utilization of power have become a matter of utmost importance. Battery and power are an area of significant challenges considering smartphones these days are equipped with advanced technological network features and systems. These features require much simultaneous power to make decisions and to transfer information between devices and network to provide best the user experience. Furthermore, to meet the demands of increased data capacity, data rate, and to provide the best quality of service, there is a need to adopt energyefficient architectures. This paper presents systemlevel architectural changes on both User Equipment (UE) and Network elements along with a proposal to modify control signaling as part of Radio Resource Control messages using smartphone battery level. Additionally, we presented realworld 5G mmWave field results, showing impacts on device battery life in varying RF conditions and proposed methods to allocate optimal network resources and improve the energy efficiency by modifying radio layer parameters between devices and base stations. Without these proposed architecture level and systemlevel algorithm changes, realizing optimal and consistent 5G speeds will be near impossible.

Maximizing Joint Data Rate and Resource Efficiency in D2DIoT Enabled MultiTier Networks The nextgeneration wireless network is expected to be highly dense with a large number of DevicetoDevice (D2D) communication enabled IoT devices in fog computing based cellular networks. The dense deployment of the heterogeneous network architecture is expected to fulfill the smart devicesxe2x80x99 growing data demand, lower power consumption, and lower latency constraint. The 5G technology is expected to have such multitier architecture with various computational capability and radio enabled IoT devices. However, the coexistence of such heterogeneous network model spawns research challenges such as interference management, nonuniform computational capacity with nonuniform devices connectivity and service deadline. Thus, in this paper, we propose a coexistence of D2DIoT (DIoT) and fog computing model in cellular networks and formulate the resource allocation problem in such a multitier architecture considering different kinds of interference, data rate, and latency altogether as an optimization problem and further propose a distributed manytomany stable matching based solution. Through extensive theoretical and simulation analysis, we have shown the effect of different parameters on the resource allocation objectives and achieve more than 94% of optimum network performance.