The capacity and mutual information of amplify and forward (AF) cooperative multiple-input multiple-output (MIMO) systems with direct link are studied and analyzed in this article. Specifically, the capacities of space modulation techniques (SMTs)-AF and spatial multiplexing (SMX)-AF cooperative systems are derived, and the conditions under which the capacity is accomplished are discussed and interpreted. The impact of varying system and channel parameters on the capacity is studied and discussed. As well, the impact of the presence or the absence of the direct link on the capacity performance is discussed. It is revealed that the capacity can be attained if the distribution of both direct and cooperative links follow complex Gaussian distribution. The capacity of SMTs-AF systems is shown to be higher than that of SMX-AF counterparts. As well, the capacity of SMTs-AF is shown to be independent of the fading channel distribution as the channel is a source of spatial symbols in SMTs. Additionally, it is disclosed that the capacity performance is significantly enhanced in the presence of the direct link and adding more AF relays enhances the performance.
FSO links have attracted a significant amount of interest in the recent years driven by the paramount importance of their license-free spectrum and ease of deployment in wireless networks. Besides, the energy harvesting (EH) paradigm allows recharging terminals via ambient and/or external sources and prolongs battery lifetime operation. Thereby, facilitating free space optical (FSO) in EH networks creates potential scenarios for the future sixthgeneration (6G) communication systems. In this study, an EH system performing simultaneous wireless information and power transfer (SWIPT) while adopting FSO and resonant beam charging (RBC), RBC-SWIPT system is thoroughly analyzed. The performance of RBC-SWIPT system is analyzed through Monte Carlo simulations, where average bit error ratio (ABER) and energy efficiency (EE) are studied and evaluated. In addition, channel capacity is derived along with the mutual information and studied over indoor line of sight (LOS) optical channel. Monte Carlo simulation results corroborate the accuracy of the derived formulas.distributed laser charging (DLC), laser communications (LC), optical wireless communications (OWC), resonant beam charging (RBC), simultaneous wireless information and power transfer (SWIPT), wireless power transfer (WPT) | INTRODUCTIONThe revolution of multimedia services in mobile devices demands an increasingly sophisticated and energy-consuming signal processing. Furthermore, as internet of things (IoT) evolves, challenges in terms of device power capacity and endurance become more complicated and diverse. Conventional wired charging methods are laborious and inconvenient in some scenarios. The demand for unconventional approaches to conquer these challenges led to the emergence of a new exciting research field, called wireless power transfer (WPT). 1,2 WPT enables simultaneous wireless charging and data transmission, which is very appealing for IoT devices to prolong their battery life and enhance their data rate capabilities.The shiny idea of WPT was first conducted and experimented with more than a century ago by the discoverer of alternating current (AC), Nikola Tesla, towards the end of the 1890s. 3 Even though WPT was an unimaginable achievement in those days, in 1899, Tesla was able to light 200 bulbs and run an electric motor over a distance of 25mi. Tesla persisted in his studies using the Wardenclyffe, which was developed by him, and in 1901, he was able to transfer
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