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Synopsis
In wireless communication, assets like bandwidth and energy are scant and amazingly significant; any framework should fill in whatever number users as could reasonably be expected while saving high Quality of Service (QoS) for the best user experience. In like manner, the Base Station (BS) has the obligation to ideally plan its assets to the users based on the accessible data. Subsequently, the entire cycle of planning is really demanding and requires high complex estimations from the general framework. Subsequently, the solicitation of more modern and powerful techniques is considerable so as to limit the difficulties of booking. This proposal in this book centers around the Modulation and Coding Scheme (MCS) determination in a Time Division Duplex (TDD) based portable organization. The principle objective is the rearrangements and streamlining of the downlink cycle at the base station by foreseeing the MCS list for a solitary User Equipment (UE), utilizing Machine Learning (ML).
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ADAPTIVE CHANNEL ESTIMATION
Edité par
LAP LAMBERT Academic Publishing Nov 2021, 2021
ISBN 10 : 6204717243
ISBN 13 : 9786204717241
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In wireless communication, assets like bandwidth and energy are scant and amazingly significant; any framework should fill in whatever number users as could reasonably be expected while saving high Quality of Service (QoS) for the best user experience. In like manner, the Base Station (BS) has the obligation to ideally plan its assets to the users based on the accessible data. Subsequently, the entire cycle of planning is really demanding and requires high complex estimations from the general framework. Subsequently, the solicitation of more modern and powerful techniques is considerable so as to limit the difficulties of booking. This proposal in this book centers around the Modulation and Coding Scheme (MCS) determination in a Time Division Duplex (TDD) based portable organization. The principle objective is the rearrangements and streamlining of the downlink cycle at the base station by foreseeing the MCS list for a solitary User Equipment (UE), utilizing Machine Learning (ML). 64 pp. Englisch. N° de réf. du vendeur 9786204717241
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ADAPTIVE CHANNEL ESTIMATION : Adaptive Channel Estimation and Coding Scheme using Machine Learning
Edité par
LAP LAMBERT Academic Publishing, 2021
ISBN 10 : 6204717243
ISBN 13 : 9786204717241
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In wireless communication, assets like bandwidth and energy are scant and amazingly significant; any framework should fill in whatever number users as could reasonably be expected while saving high Quality of Service (QoS) for the best user experience. In like manner, the Base Station (BS) has the obligation to ideally plan its assets to the users based on the accessible data. Subsequently, the entire cycle of planning is really demanding and requires high complex estimations from the general framework. Subsequently, the solicitation of more modern and powerful techniques is considerable so as to limit the difficulties of booking. This proposal in this book centers around the Modulation and Coding Scheme (MCS) determination in a Time Division Duplex (TDD) based portable organization. The principle objective is the rearrangements and streamlining of the downlink cycle at the base station by foreseeing the MCS list for a solitary User Equipment (UE), utilizing Machine Learning (ML). N° de réf. du vendeur 9786204717241
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ADAPTIVE CHANNEL ESTIMATION
Edité par
LAP LAMBERT Academic Publishing, 2021
ISBN 10 : 6204717243
ISBN 13 : 9786204717241
Neuf
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Vendeur : moluna, Greven, Allemagne
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Kartoniert / Broschiert. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Bhagyalakshmi L.Dr. L. Bhagyalakshmi is currently working as a professor and Academic Incharge in the Dept. of ECE, Rajalakshmi Engineering College, Chennai. She has received her Ph.D in Information and Communication Engineering from. N° de réf. du vendeur 534346824
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ADAPTIVE CHANNEL ESTIMATION
Edité par
LAP LAMBERT Academic Publishing Nov 2021, 2021
ISBN 10 : 6204717243
ISBN 13 : 9786204717241
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -In wireless communication, assets like bandwidth and energy are scant and amazingly significant; any framework should fill in whatever number users as could reasonably be expected while saving high Quality of Service (QoS) for the best user experience. In like manner, the Base Station (BS) has the obligation to ideally plan its assets to the users based on the accessible data. Subsequently, the entire cycle of planning is really demanding and requires high complex estimations from the general framework. Subsequently, the solicitation of more modern and powerful techniques is considerable so as to limit the difficulties of booking. This proposal in this book centers around the Modulation and Coding Scheme (MCS) determination in a Time Division Duplex (TDD) based portable organization. The principle objective is the rearrangements and streamlining of the downlink cycle at the base station by foreseeing the MCS list for a solitary User Equipment (UE), utilizing Machine Learning (ML).VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 64 pp. Englisch. N° de réf. du vendeur 9786204717241
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ADAPTIVE CHANNEL ESTIMATION | Adaptive Channel Estimation and Coding Scheme using Machine Learning
Edité par
LAP LAMBERT Academic Publishing, 2021
ISBN 10 : 6204717243
ISBN 13 : 9786204717241
Neuf
Taschenbuch
Vendeur : preigu, Osnabrück, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. ADAPTIVE CHANNEL ESTIMATION | Adaptive Channel Estimation and Coding Scheme using Machine Learning | L. Bhagyalakshmi (u. a.) | Taschenbuch | Englisch | 2021 | LAP LAMBERT Academic Publishing | EAN 9786204717241 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 120910742
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