Analysis optimizes throughput in multi-antenna systems with MIMO technologies, highlighting signal quality and capacity.
The paper considers wireless radio links with multi-antenna systems. The aim of the re-search is to analyze and evaluate the capacity of multi-antenna radio links of various schemes in a complex signal-noise environment and to build an optimal mobile communication system based on radio links with MIMO technologies. The paper evaluates the capacity of radio links with various schemes using MIMO systems technology in Gaussian and Rayleigh channels. It is established that the capacity of radio links depends on many factors - radio link scheme op-tions, the number of antennas, signal reception and processing methods, as well as the commu-nication range, i.e. where the subscriber is located - near the base station or at the edge of the service area, as well as the communication conditions - in a large or sparsely populated city, in very rugged terrain or flat, etc. A given radio link capacity can be achieved in various ways - by using one or another MIMO technology scheme, increasing the degree of multiplexing or the number of antennas for diversity reception. For example, the multiplexing technology in MIMO systems is effective at high values of signal-to-noise ratios, and the diversity reception technology (SIMO) is quite effective at low values. Therefore, it is expedient to combine vari-ants of MIMO system schemes and signal reception technologies in such a way as to achieve the best efficiency of the radio link, in terms of throughput and noise immunity with minimal costs of antenna system elements. Prospective base stations will have hundreds of antenna ele-ments that are distributed over subscriber radio lines depending on the need for throughput and communication quality. However, as the evaluation of MIMO system design schemes has shown, the specified values of the indicators can be achieved by various methods of combining antennas, their number, receiving and processing signals in radio line subchannels. Thus, with many subscribers in the service area, located in different communication conditions, the prob-lem of optimally distributing the antenna resource over subscriber radio lines arises in order to achieve the maximum throughput of the communication system as a whole. The paper proposes an approach to distributing the antenna resource of a base station in its service area and a meth-od for synthesizing the optimal structure of a mobile network with a large number of subscrib-ers (optimal distribution of the antenna resource over the network's radio lines). The throughput as a property associated with the purpose of the system and the noise immunity of signals to total interference as a property of communication quality, as well as the costs of their imple-mentation, are selected as an efficiency indicator for a communication system with multi-antenna radio lines. The research results can be used to develop algorithms for maximizing the throughput in the service area of a mobile base station under difficult electromagnetic condi-tions, the dynamics of changes in the information load in radio lines and the movement of sub-scriber terminals in a variety of terrain and urban topology. Multi-antenna systems should ra-tionally combine algorithms for combating fading and increasing the throughput of lines, which can be solved by the proposed algorithm. Therefore, further research is the optimal distribution of antenna resources of base stations, taking into account the available resource of subscriber stations according to the criterion of performance and resistance of lines to signal fading, i.e. resolution of the compromise between the capacity and stability of the radio link, taking into account external destructive effects on the mobile radio links. In addition, the inverse task is also possible - the formation of requirements for the resources of the base and subscriber sta-tions to achieve the required target indicators of the mobile communication system in a given service area.
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Yakushenko et al. (2025) studied this question.
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