Recently, large intelligent surfaces/antennas (LISA) have been widely studied as an emerging technology for future wireless networks. In general, LISA contains a large number of passive sensors that are able to adjust a phase-shift on impinging signals. To this end, an intelligent module can control this phase-shift resulting in controlling the wireless multipath channel phase-distortion which is random in nature. In this work, we study on how a LISA can serve multiple device-to-device (D2D) communications. Here, LISA sensors are scarce resources which should be allocated among the D2D communications optimally. For this purpose, we propose a Genetic algorithm-based optimization to maximize the spectral efficiency and minimize the interference. Our approach has been evaluated with extensive simulations, thus providing new observations and findings.
Paper
Full text
Resource Allocation in Large Intelligent Surfaces/Antennas Using Genetic Algorithm Approach
Semantic Scholar · Engineering · 2023
Abstract
Recently, large intelligent surfaces/antennas (LISA) have been widely studied as an emerging technology for future wireless networks. In general, LISA contains a large number of passive sensors that are able to adjust a phase-shift on impinging signals. To this end, an intelligent module can control this phase-shift resulting in controlling the wireless multipath channel phase-distortion which is random in nature. In this work, we study on how a LISA can serve multiple device-to-device (D2D) communications. Here, LISA sensors are scarce resources which should be allocated among the D2D communications optimally. For this purpose, we propose a Genetic algorithm-based optimization to maximize the spectral efficiency and minimize the interference. Our approach has been evaluated with extensive simulations, thus providing new observations and findings.