Efficient Allocation of Resource for Energy Optimization in Heterogeneous V2X with Imperfect CSI

Abstract In heterogeneous V2X networks, the channel state information (CSI) undergoes rapid fluctuations owing to dynamic mobility of vehicles. Therefore, it is important redevelop a more suitable description for resource allocation in vehicular communications. this paper, we concentrate on effect imperfect CSI with practical achieve maximum energy efficiency (EE) vehicle-to-vehicle (V2V) links by jointly performing power-control and channel-allocation. A fractional nonlinear programming model constructed address while satisfying link reliability interference threshold requirements. Since target function restrictions are quasi-concave, problem can be tackled via Dinkelbach Lagrangian duality. addition, further improve spectrum utilization channel-allocation, propose an improved Gale-Shapley strategy so that multiple V2V pairs reuse single cellular user (C-VUE). Finally, numerical experiments simulations validate performance our offered employed effectively boosts energy-efficiency communication environments.