Energy efficiency and spectral efficiency balance optimization algorithm in distributed antenna system

Abstract

The invention discloses an energy efficiency and spectral efficiency balance optimization algorithm in a distributed antenna system. After carrying out remote access unit (RAU) selection in the condition of known user number and positions, system energy efficiency and spectral efficiency are optimized preliminarily. Then the Cobb-Douglas production function is introduced, the energy efficiency and spectral efficiency are considered at the same time, the Lagrange duality theory and the Kuhn-Tucker condition are applied to solve an approximate solution, finally a subgradient iteration algorithm is applied, a Lagrange multiplier and the transmission power approximation value of each RAU are updated in each time of iteration until the convergence of a transmission power value and the Lagrange multiplier, and power distribution at that time is an approximation value of a global optimal solution of the optimization of energy and spectral efficiency at the same time. Through taking different preference factors, the energy and spectral efficiency can be flexibly balanced, and an effect of optimizing the energy efficiency and spectral efficiency at the same time is achieved.

Description

technical field [0001] The invention belongs to the field of wireless communication, in particular to the trade-off optimization of energy efficiency and spectrum efficiency, in particular to an algorithm for trade-off optimization of energy efficiency and spectrum efficiency in a distributed antenna system. Background technique [0002] At present, distributed antenna systems, large-scale multiple input multiple output (MIMO), cloud radio access networks (CRANs) and heterogeneous networks (Heterogeneous Network, HETS) are considered to meet the requirements of 5G cellular networks. technology. Different from the traditional centralized antenna system (Centralized AntennaSystems, referred to as CAS), the distributed antenna system (Distributed Antenna System, referred to as DAS) has one or more remote access units (Remote Access Unit, referred to as RAU) antenna distributed in In different locations of the cell, each RAU is connected to the central processing unit (CENTER P...

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Problems solved by technology

[0004] 1) Some studies only consider the unilateral optimization of energy efficiency, and mainly study how to better allocate power, ignoring RAU selection; some studies combine the two well to further optimize the energy efficiency of the system without optimizing In terms of spectral efficiency, in the trend of increasingly pursuing high data transmission rates, spectral efficiency and energy efficiency are equally important;

[0005] 2) Some studies consider the optimization of energy efficiency and spectrum efficiency at the same time, but the power model is not considered perfect, ignoring the backhaul power consumption, and has not carried out effective RAU selection. In actual scenarios, when there are very few users, all RAUs are still turned on. Will cause power waste and reduce the energy efficiency of the system

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