Abstract
Today, the explosive growth of Multiple Input Multiple Output (MIMO) systems has resulted in a high data rate and consequently permits the operation of a variety of applications. The MIMO networks are multiparameter systems, so the choice of a suitable MIMO network in wireless communications is a complex issue. In this paper, a multi-factoring evaluation and comparison framework was introduced and applied to MIMO systems. The proposed methodology is based on a general distance function, named the General Evaluation Factor. This method was applied to MIMO networks that operate over Rayleigh fading channels with different antenna nodes and spacing. The implementation of this method was based on different capacities and cost values. Nevertheless, while only two factors (capacity and cost) were studied in this paper, the proposed approach was able to incorporate additional performance metrics that might be essential for many wireless system designs. The presented framework and results aspire to be useful for network engineering, especially when finding a balance between contradictory factors (e.g. cost and performance metrics) on MIMO networks.
Highlights
Over the last decade, technological advances in wireless communication have been rapid
An excellent overall spectral activity of a wireless communication system may be accomplished at several manners of system design[1-2], for example, by minimizing the diameter of cell area and the co-channel reuse cell’s diameter or at network level decreasing the cell area or by using advanced channel allocation schemes that increase the overall amount of transferred data
Multiple Input Multiple Output (MIMO) networks are in general multi-factorial systems; almost every modern technological solution related to 5G technology is a multi-factorial proposal
Summary
Technological advances in wireless communication have been rapid. An excellent overall spectral activity of a wireless communication system may be accomplished at several manners of system design[1-2], for example, by minimizing the diameter of cell area and the co-channel reuse cell’s diameter or at network level decreasing the cell area or by using advanced channel allocation schemes that increase the overall amount of transferred data. Α key feature characterizing all modern wireless systems that are gradually being implemented is their increased complexity. The MIMO technology is widely considered as one key enabler for filling the capacity gap towards the generation of wireless communications. The choice of MIMO systems in mobile networks depends on a large number of factors. The decision to choose the optimal MIMO system is an open and complex problem. This paper will attempt to answer this multi-factorial question
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