Abstract
Massive Multiple Input Multiple Output MIMO technology is a promising candidate for the next generation of communication applications, which essentially group hundreds of transmitting antennas together at the base station and provides the higher energy and spectral efficiency. In this article, the transmitting antennas are assumed to be closely spaced at the base station, which in turn results into a mutual coupling effect between the antenna terminals. The optimal system parameters and the energy efficiency are computed by considering the mutual coupling effect between the antenna terminals. Mutual coupling effect is deeply investigated on the energy efficiency and the other optimal parameters. We propose the domain splitter algorithm for the optimization of energy efficiency and the computation of different optimal system parameters in this article. The computational complexity of the proposed domain splitter algorithm is not dependent on the number of transceiver chains, and the detailed comparison is presented between the proposed and the reference algorithms on the basis of the computational complexity, which shows the effectiveness of the proposed domain splitter algorithm.
Highlights
Wireless communication is the most vital and key technology in this modern era and with the ever-increasing trend of advances in the wireless technologies, a large number of users are using these technologies, which in turn require having a network with higher energy and spectral efficiency together with the simple signal processing [1,2,3]
Multiple Input Multiple Output (MIMO) systems have gained a lot of attraction, both in industry and academia, due to their ability to significantly improve the spectral efficiency, but the acquisition of higher spectral efficiency comes at the cost of complex computation and signal processing in the conventional MIMO systems [4]
In the corpus of the researches [22,23,24,25,26,27,28,29,30,31,32,33], the authors have optimized and investigated the energy efficiency along with the computation of different optimal system parameters, by taking the assumption that the transmitting antennas at the BS are spaced enough, in order to nullify the effect of mutual coupling among the antenna elements
Summary
Wireless communication is the most vital and key technology in this modern era and with the ever-increasing trend of advances in the wireless technologies, a large number of users are using these technologies, which in turn require having a network with higher energy and spectral efficiency together with the simple signal processing [1,2,3]. In the corpus of the researches [22,23,24,25,26,27,28,29,30,31,32,33], the authors have optimized and investigated the energy efficiency along with the computation of different optimal system parameters, by taking the assumption that the transmitting antennas at the BS are spaced enough, in order to nullify the effect of mutual coupling among the antenna elements This assumption is not correct for the massive MIMO wireless communication systems, especially under the scenario of the urban environment, due to the space limitations for the deployment of a large number of antenna elements at the base station.
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