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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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Taschenbuch. Condition: 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. Seller Inventory # 9786204717241
Quantity: 2 available
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: 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). Seller Inventory # 9786204717241
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Seller: moluna, Greven, Germany
Kartoniert / Broschiert. Condition: 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. Seller Inventory # 534346824
Quantity: Over 20 available
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Taschenbuch. Condition: 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. Seller Inventory # 9786204717241
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Seller: preigu, Osnabrück, Germany
Taschenbuch. Condition: 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. Seller Inventory # 120910742
Quantity: 5 available