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With the wide spread of wireless technology, the time for 4G has arrived, and 5G will appear not so far in the future. However, no matter whether it is 4G or 5G, low latency is a mandatory requirement for baseband processing at base stations for modern cellular standards. In particular, in a future 5G wireless system, with massive MIMO and ultra-dense cells, the demand for low round trip latency between the mobile device and the base station requires a baseband processing delay of 1 ms. This is 10 percentage of today's LTE-A round trip latency, while at the same time massive MIMO requires large-scale matrix computations. This is especially true for channel estimation and MIMO detection at the base station. Therefore, it is essential to ensure low latency for the user data traffic. In this master's thesis, LTE/LTE-A uplink physical layer processing: channel estimation/MIMO detection are examined. The key aspect which affects the algorithms' speed is identified as the need for "massive complex matrix inversion". A parallel coding scheme is proposed to implement a matrix inversion kernel algorithm on a single instruction multiple data stream (SIMD) vector processor.
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Design and Implementation of 5G algorithms on SIMD vector processor
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LAP Lambert Academic Publishing 2015-06, 2015
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Design and Implementation of 5G algorithms on SIMD vector processor
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Design and Implementation of 5G algorithms on SIMD vector processor
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Design and Implementation of 5G algorithms on SIMD vector processor
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LAP Lambert Academic Publishing, 2015
ISBN 10: 365974588X
ISBN 13: 9783659745881
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Design and Implementation of 5G algorithms on SIMD vector processor
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -With the wide spread of wireless technology, the time for 4G has arrived, and 5G will appear not so far in the future. However, no matter whether it is 4G or 5G, low latency is a mandatory requirement for baseband processing at base stations for modern cellular standards. In particular, in a future 5G wireless system, with massive MIMO and ultra-dense cells, the demand for low round trip latency between the mobile device and the base station requires a baseband processing delay of 1 ms. This is 10 percentage of today's LTE-A round trip latency, while at the same time massive MIMO requires large-scale matrix computations. This is especially true for channel estimation and MIMO detection at the base station. Therefore, it is essential to ensure low latency for the user data traffic. In this master's thesis, LTE/LTE-A uplink physical layer processing: channel estimation/MIMO detection are examined. The key aspect which affects the algorithms' speed is identified as the need for 'massive complex matrix inversion'. A parallel coding scheme is proposed to implement a matrix inversion kernel algorithm on a single instruction multiple data stream (SIMD) vector processor. 100 pp. Englisch. Codice articolo 9783659745881
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Design and Implementation of 5G algorithms on SIMD vector processor
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Guo JiabingJiabing Guo received his B.S degree from Savonia University of Appliced Sciences ,Kuopio, Finland, in 2011,and his M.S degree from Royal Institute of Technology, Stockholm, Sweden, in 2015. Now, he works as wireless proto. Codice articolo 159144387
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Design and Implementation of 5G algorithms on SIMD vector processor
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LAP LAMBERT Academic Publishing, 2015
ISBN 10: 365974588X
ISBN 13: 9783659745881
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - With the wide spread of wireless technology, the time for 4G has arrived, and 5G will appear not so far in the future. However, no matter whether it is 4G or 5G, low latency is a mandatory requirement for baseband processing at base stations for modern cellular standards. In particular, in a future 5G wireless system, with massive MIMO and ultra-dense cells, the demand for low round trip latency between the mobile device and the base station requires a baseband processing delay of 1 ms. This is 10 percentage of today's LTE-A round trip latency, while at the same time massive MIMO requires large-scale matrix computations. This is especially true for channel estimation and MIMO detection at the base station. Therefore, it is essential to ensure low latency for the user data traffic. In this master's thesis, LTE/LTE-A uplink physical layer processing: channel estimation/MIMO detection are examined. The key aspect which affects the algorithms' speed is identified as the need for 'massive complex matrix inversion'. A parallel coding scheme is proposed to implement a matrix inversion kernel algorithm on a single instruction multiple data stream (SIMD) vector processor. Codice articolo 9783659745881
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Design and Implementation of 5G algorithms on SIMD vector processor
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LAP LAMBERT Academic Publishing Jun 2015, 2015
ISBN 10: 365974588X
ISBN 13: 9783659745881
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -With the wide spread of wireless technology, the time for 4G has arrived, and 5G will appear not so far in the future. However, no matter whether it is 4G or 5G, low latency is a mandatory requirement for baseband processing at base stations for modern cellular standards. In particular, in a future 5G wireless system, with massive MIMO and ultra-dense cells, the demand for low round trip latency between the mobile device and the base station requires a baseband processing delay of 1 ms. This is 10 percentage of today's LTE-A round trip latency, while at the same time massive MIMO requires large-scale matrix computations. This is especially true for channel estimation and MIMO detection at the base station. Therefore, it is essential to ensure low latency for the user data traffic. In this master's thesis, LTE/LTE-A uplink physical layer processing: channel estimation/MIMO detection are examined. The key aspect which affects the algorithms' speed is identified as the need for 'massive complex matrix inversion'. A parallel coding scheme is proposed to implement a matrix inversion kernel algorithm on a single instruction multiple data stream (SIMD) vector processor.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 100 pp. Englisch. Codice articolo 9783659745881
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Design and Implementation of 5G algorithms on SIMD vector processor
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LAP LAMBERT Academic Publishing, 2015
ISBN 10: 365974588X
ISBN 13: 9783659745881
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Da: preigu, Osnabrück, Germania
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Taschenbuch. Condizione: Neu. Design and Implementation of 5G algorithms on SIMD vector processor | Jiabing Guo | Taschenbuch | 100 S. | Englisch | 2015 | LAP LAMBERT Academic Publishing | EAN 9783659745881 | Verantwortliche Person für die EU: OmniScriptum GmbH & Co. KG, Bahnhofstr. 28, 66111 Saarbrücken, info[at]akademikerverlag[dot]de | Anbieter: preigu. Codice articolo 104398158
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