Search for: [Abstrakt = "To improve radio access capability, sky connectionsrelying on satellites or unmanned aerial vehicles \(UAV\), as wellas high\-altitude platforms \(HAP\) will be exploited in6G wirelesscommunication systems, complementing terrestrial networks.For long\-distance communication, a large smart antenna will beused that is characterized by high amounts of power consumedby digital beamformers. This paper focuses on reducing powerconsumption by relying on a thinned smart antenna \(TSA\). Theperformance of TSA is investigated in the sub\-6GHz band. Thedifferential evolution \(DE\) algorithm is used to optimize excita\-tion weights of the individual dipoles in the antenna array andthese excitation weights are then used in TSA for beamforming,with signal processing algorithms deployed. The DE techniqueis used with the least mean square, recursive least square andsample matrix inversion algorithms. The proposed method of\-fers almost the same directivity, simultaneously ensuring lowerside lobes \(SLL\) and reduced power consumption. For a TSAof20,31, and64dipoles, the power savings are20%,19.4%,and17.2%, respectively. SLL reductions achieved, in turn, varyfrom 5.2 dB to 8.1 dB."]

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