Optimum design method of distributed antenna system suitable for highway and high-speed railway environments

Abstract

The invention discloses an optimum design method of a distributed antenna system suitable for highway and high-speed railway environments. N fan-shaped or linear areas are arranged in round communities or linear communities, and under the condition that particles are randomly distributed in the round communities or the linear communities, optimal positions of ports of base station antennas in different communities are obtained through a particle swarm intelligent optimization algorithm. The particle swarm intelligent optimization algorithm comprises the steps that a particle swarm is initialized, and the initial adaptive degrees of M particles are calculated; the position information and the speed information of the particles are updated, and whether the particles are still in a search area is judged; the individual optimal solution pbesti of the ith particle and the global optimal solution Gbest of the whole group are updated; the two earlier steps are executed until the convergence criterion of the algorithm is met, and the global optimal solution Gbest is output. According to the method, the layout positions of the antenna ports in the communities are subjected to theoretical optimization, the optimal coverage of the port antennas can be achieved, energy conservation and environment friendliness of the distributed antenna system can be conveniently achieved, and cost of network distribution is reduced.

Description

technical field [0001] The invention relates to an optimal design method of a distributed antenna system suitable for expressways and high-speed railway environments, and is used for upper-layer network planning and optimal design of base station antenna port configuration of a linear and circular mixed cell distributed antenna system, belonging to the field of modern wireless communication. Background technique [0002] Distributed antenna system is a wireless broadband mobile communication system oriented to the needs of the new generation of mobile communication. Compared with the traditional centralized multi-antenna system, it is not only conducive to the flexible allocation of wireless resources, but also can make full use of space resources to cover the cell The "blind spot" in the network improves the stability of the entire communication link. The antenna layout model of each port of the distributed antenna system is as follows: figure 1 shown. In this system, a c...

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Problems solved by technology

In the existing theoretical research results, some optimization design methods cannot comprehensively consider the influence of important channel factors such as small-scale fading, path loss and shadowing effect on the system channel capacity; Port location optimization problem, but the user distribution model of mobile stations in the cell is assumed to be evenly distributed in the cell, so the research conclusions based on the uniform distribution of mobile stations are not necessarily applicable to the actual working environment; in addition, the existing intelligent The optimization algorithm generally adopts the classic genetic algorithm, which has a large computational complexity and a relatively slow convergence speed. If the cell is re-planned and designed with multi-point layout of antenna ports and automatic configuration of intelligent dormancy / activation mechanism according to user needs, then The position of the antenna port cannot be quickly searched; moreover, the existing research scheme is completely based on the design of the omnidirectional antenna coverage mode regardless of the working environment, and the modern mobile communication system has widely used directional antenna or smart antenna technology. Reduce Interference in the System

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