Research On The Power Control Based On Power Efficiency In The Cellular Network Embedded With D2D Communication

Next generation cellular mobile communication system is moving towards the targets of broader coverage, greater resource utilization, higher system capacity and more energy-saving. However, the available spectrum resources for cellular mobile communication are very limited. How to achieve these development goals in the limited spectrum resource conditions is frequently emphasized in this field. D2 D communication technology is proposed to be brought into cellular network, aiming to increase the system spectral efficiency, improve system capacity, unload the base station and reduce the device power consumption. This paper mainly conducts a series of exploratory studies on the power control based on power efficiency in the cellular network embedded with D2 D communication technology.Firstly, an algorithm based on SINR incremental iteration is proposed in view of the shortage of the iterative algorithm based on a non-cooperative game which only maximizes the power efficiency of each terminal and does not take into account the overall optimization goal. With the method of iteration step by step, we increase the receiver SINR of D2 D communication or that of cellular communication, or at the same time that of both D2 D communication and cellular communication in each iteration process to improve the utility function of our optimization model. And what kind of equipment is selected to increase the SINR depends on the profit which is represented by the increment of the utility function in successive iteration process brought by its SINR increment. This algorithm is based on partial traversal, selectively increasing SINR making the traversal process moving towards the direction of utility function gradually increasing. Besides, as a universal algorithm, it does not depend on a specific utility function, and can be used to get suboptimal solution within limited time complexity.Secondly, we focus on the power control strategy based on integrated power efficiency. In view of the existing power control strategy based on user power efficiency maximization which cannot reflect the actual power efficiency of each user well, we propose a power control strategy of maximizing the minimum power efficiency of user equipment. The strategy can guarantee the power efficiency of each communication equipment in the system, and thus improve the ability to exchange data for battery powered equipment under the condition of limited sustainability of equipment. Then the power control problem with the goal of maximizing system power efficiency is degraded into the D2 D basic unit instead of the entire network optimization. Finally we put forward a new power control strategy aiming to maximizing the integrated power efficiency, namely construct an objective function which combines both user power efficiency and system power efficiency and solve it with the above iterative algorithm. Considering both user power efficiency and system power efficiency, our strategy can achieve satisfactory performance in these two aspects, and can adjust the degree of approaching the two aspects according to a scale factor. So it is a scheme being able to dynamically adapt different system requirements.Finally, our improved algorithm and power control strategy are proved to be reasonable and efficient through some simulations.