United dynamic resource allocation method of energy efficiency optimization in LTE system

Abstract

The present invention provides a united dynamic resource allocation method of the energy efficiency optimization in an LTE system, relating to the united dynamic resource allocation method of the energy efficiency optimization in an LTE system. According to the method, stepwise resource scheduling is used, and the convex function of LTE system energy efficiency about spectral efficiency is used, which means that the energy efficiency is the convex function of transmission rate. When user dispatch is finished, an energy efficiency function is a section derivative continuous function, an optimal solution under an unconstrained condition is obtained, and thus an optimal rate closed-form solution under a satisfied constraint condition is obtained. Finaly the transmission power allocation is carried out according to the allocated transmission rate, the calculation complexity is effectivvey reduced through a stepwise resource scheduling strategy, a lot of iterative approximations are avoided, in the condition of ensuring user QoS requirements and spectrum efficiency, the energy efficiency is optimal, the energy utilization efficiency is improved, and thus the mobile communications is more environmentally friendly.

Description

technical field [0001] The invention relates to a dynamic resource allocation method for resource joint allocation, which belongs to the technical field of wireless and mobile communications, and in particular to a joint dynamic resource allocation method for energy efficiency optimization in an LTE (Long Term Evolution, long-term evolution) system. Background technique [0002] With the rapid development of modern communication technology and social science and technology and the gradual commercialization of 4G technology around the world, and the explosive growth of emerging services and mobile applications, mobile users have put forward higher requirements for transmission rates. LTE (Long Term Evolution, Long Term Evolution) communication system, as a transitional technology from 3G to 4G, will definitely bring a new communication service experience to human beings in the foreseeable future. [0003] However, with the rapid increase in the number of users and the continu...

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Problems solved by technology

However, none of the above literatures considers the user's service quality, such as the minimum data transmission rate requirements of each user and the maximum transmission power of the base station, so it is difficult to apply to the actual system

The literature ("Energy-Efficient Link Adaptation on a Rayleigh Fading Channel with Receiver CSI," in Communications (ICC), 2011IEEE International Conference on, 2011, pp.1-5) puts forward the A resource allocation method for the optimal power closed-form solution that optimizes energy efficiency. However, this method can only be applied to single-user single-carrier systems and the circuit power is modeled as a constant, which greatly limits the application of this method

The literature ("An Accurate Closed-Form Approximation of the Energy Efficiency-Spectral Efficiency Trade-Off over the MIMO Rayleigh Fading Channel," in Communications Workshops (ICC), 2011IEEE International Conference on, 2011, pp.1-6) proposed a An iterative resource allocation algorithm for solving approximate optimal energy efficiency, the algorithm includes internal iteration and external iteration, and seeks approximate optimal solutions in the form of step-by-step search, the implementation complexity is too high

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