Large-Scale MISO Collaborative Energy Efficiency Transmission Method

Abstract

The invention discloses a large-scale MISO collaborative energy efficiency sending method which achieves optimization of energy efficiency in a large-scale antenna system under the constraints of a specific signal base station total power and a signal to interference plus noise power ratio. Firstly, the duality of uplink and downlink transmission is introduced into optimization of the energy efficiency, a corresponding energy efficiency optimization target function is set, a virtual uplink problem paired with downlink transmission is introduced, the virtual uplink transmission problem is solved through GP optimization, the corresponding uplink optimization result is converted into the solution of an original downlink transmission problem, and therefore the energy efficiency transmission problem of multiple users of the downlink is resolved. By considering the particularity of the large-scale antenna system, a wave beam design and power distribution method only using large-scale fading is obtained. The method is low in calculation complexity, is easy to achieve, needs a small feedback quantity under the large-scale antenna system, and the performance is close to that of an algorithm obtaining complete channel information feedback under the condition of too many antennas.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and in particular relates to a MISO cooperative energy-efficiency transmission method under a large-scale antenna system. Background technique [0002] With the development of communication technology and equipment, the amount of data transmitted wirelessly increases dramatically, which also causes a significant increase in corresponding energy consumption. In the past, multi-antenna transmission has been widely used as a method to effectively improve the spectral efficiency of the system, and the large-scale antennas derived therefrom can improve the energy efficiency of the system. Energy efficiency is generally defined as the ratio of system and rate to total power loss. Recently, using cell beamforming and power control methods to suppress and solve energy efficiency problems in downlink multi-user multi-antenna systems has become a major research focus in the field of wireless...

AI Technical Summary

Problems solved by technology

The energy efficiency problem under power constraints is a non-convex problem, and it is difficult to solve. At present, the design of beamforming and power allocation methods mainly focuses on converting it into a corresponding easy-to-solve convex problem through iteration and bounding methods, and Does not take into account the dual characteristics of uplink and downlink

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