The rapid advancement of communication technologies is connecting the world faster than ever before. However, this has resulted in a scarcity of frequency spectrum as the available communication bandwidth is limited. To maximize data transmission rates while using a fixed bandwidth, a mechanism is needed to improve spectral efficiency. Distributed massive multiple input multiple output (MIMO) systems involve deploying a large number of transmitting antennas around user equipment (UEs) to achieve this goal. However, in cellular massive MIMO, signal interference around cell edges can present a problem. To address interference issues around cell edges in cellular massive MIMO, cell-free massive MIMO was introduced, which incorporates both massive MIMO and distributed MIMO principles. Cell-free massive MIMO is advantageous as it places users closer to access points (APs), enabling higher spectral efficiency. While cell-free massive MIMO improves spectral efficiency, signal processing techniques such as precoding are needed to maximize it further.
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O Dr. Ram Sewak Singh trabalha como Professor Associado na Universidade de Ciência e Tecnologia de Adama, Adama, Etiópia. Publicou mais de 54 artigos de investigação na SCI e em revistas de renome. As suas áreas de interesse são a comunicação sem fios, o rádio cognitivo e o processamento de bio-sinais com aprendizagem automática.
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The rapid advancement of communication technologies is connecting the world faster than ever before. However, this has resulted in a scarcity of frequency spectrum as the available communication bandwidth is limited. To maximize data transmission rates while using a fixed bandwidth, a mechanism is needed to improve spectral efficiency. Distributed massive multiple input multiple output (MIMO) systems involve deploying a large number of transmitting antennas around user equipment (UEs) to achieve this goal. However, in cellular massive MIMO, signal interference around cell edges can present a problem. To address interference issues around cell edges in cellular massive MIMO, cell-free massive MIMO was introduced, which incorporates both massive MIMO and distributed MIMO principles. Cell-free massive MIMO is advantageous as it places users closer to access points (APs), enabling higher spectral efficiency. While cell-free massive MIMO improves spectral efficiency, signal processing techniques such as precoding are needed to maximize it further. 112 pp. Englisch. Bestandsnummer des Verkäufers 9786206790273
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The rapid advancement of communication technologies is connecting the world faster than ever before. However, this has resulted in a scarcity of frequency spectrum as the available communication bandwidth is limited. To maximize data transmission rates while using a fixed bandwidth, a mechanism is needed to improve spectral efficiency. Distributed massive multiple input multiple output (MIMO) systems involve deploying a large number of transmitting antennas around user equipment (UEs) to achieve this goal. However, in cellular massive MIMO, signal interference around cell edges can present a problem. To address interference issues around cell edges in cellular massive MIMO, cell-free massive MIMO was introduced, which incorporates both massive MIMO and distributed MIMO principles. Cell-free massive MIMO is advantageous as it places users closer to access points (APs), enabling higher spectral efficiency. While cell-free massive MIMO improves spectral efficiency, signal processing techniques such as precoding are needed to maximize it further.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 112 pp. Englisch. Bestandsnummer des Verkäufers 9786206790273
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Taschenbuch. Zustand: Neu. Spectral Efficiency Analysis of Downlink Cell-Free Massive MIMO | Spectral Efficiency Analysis of Cell-Free Massive MIMO Using Hybrid Precoder | Ram Sewak Singh (u. a.) | Taschenbuch | Englisch | 2023 | LAP LAMBERT Academic Publishing | EAN 9786206790273 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 127923077
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The rapid advancement of communication technologies is connecting the world faster than ever before. However, this has resulted in a scarcity of frequency spectrum as the available communication bandwidth is limited. To maximize data transmission rates while using a fixed bandwidth, a mechanism is needed to improve spectral efficiency. Distributed massive multiple input multiple output (MIMO) systems involve deploying a large number of transmitting antennas around user equipment (UEs) to achieve this goal. However, in cellular massive MIMO, signal interference around cell edges can present a problem. To address interference issues around cell edges in cellular massive MIMO, cell-free massive MIMO was introduced, which incorporates both massive MIMO and distributed MIMO principles. Cell-free massive MIMO is advantageous as it places users closer to access points (APs), enabling higher spectral efficiency. While cell-free massive MIMO improves spectral efficiency, signal processing techniques such as precoding are needed to maximize it further. Bestandsnummer des Verkäufers 9786206790273
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