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