Design and Implementation of 5G algorithms on SIMD vector processor
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Design and Implementation of 5G algorithms on SIMD vector processor
~EN NW ABISBN: 9783659745881 bzw. 365974588X, vermutlich in Englisch, neu, Hörbuch.
Lieferung aus: Schweiz, Lieferzeit: 2 Tage, zzgl. Versandkosten.
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.
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.
2
Design and Implementation of 5G algorithms on SIMD vector processor
~EN PB NWISBN: 9783659745881 bzw. 365974588X, vermutlich in Englisch, LAP Lambert Academic Publishing, Taschenbuch, neu.
Lieferung aus: Deutschland, Versandkostenfrei.
Design and Implementation of 5G algorithms on SIMD vector processor: 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. Englisch, Taschenbuch.
Design and Implementation of 5G algorithms on SIMD vector processor: 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. Englisch, Taschenbuch.
3
Design and Implementation of 5G algorithms on SIMD vector processor (2015)
EN PB NWISBN: 9783659745881 bzw. 365974588X, in Englisch, 100 Seiten, LAP Lambert Academic Publishing, Taschenbuch, neu.
Új, a: $46.30 (8 Ajánlatok)
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Megjelenítése több 9 Ajánlatok: Amazon.com
Lieferung aus: Vereinigte Staaten von Amerika, Usually ships in 2 to 5 weeks.
Von Händler/Antiquariat, Amazon.com.
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. Paperback, Címke: LAP Lambert Academic Publishing, LAP Lambert Academic Publishing, Termékcsoport: Book, Megjelent: 2015-06-30, Stúdió: LAP Lambert Academic Publishing, Értékesítési rangsorban: 12081886.
Von Händler/Antiquariat, Amazon.com.
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. Paperback, Címke: LAP Lambert Academic Publishing, LAP Lambert Academic Publishing, Termékcsoport: Book, Megjelent: 2015-06-30, Stúdió: LAP Lambert Academic Publishing, Értékesítési rangsorban: 12081886.
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Design and Implementation of 5G algorithms on SIMD vector processor
~EN PB NWISBN: 365974588X bzw. 9783659745881, vermutlich in Englisch, LAP Lambert Academic Publishing, Taschenbuch, neu.
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Design and Implementation of 5G algorithms on SIMD vector processor
DE PB NWISBN: 9783659745881 bzw. 365974588X, in Deutsch, LAP Lambert Academic Publishing, Taschenbuch, neu.
Lieferung aus: Kanada, Szállítási díjak: HUN.
Von Händler/Antiquariat, Russell Books Ltd.
LAP Lambert Academic Publishing. PAPERBACK. 365974588X Special order direct from the distributor . New.
Von Händler/Antiquariat, Russell Books Ltd.
LAP Lambert Academic Publishing. PAPERBACK. 365974588X Special order direct from the distributor . New.
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Design and Implementation of 5g Algorithms on Simd Vector Processor (2015)
DE PB NWISBN: 9783659745881 bzw. 365974588X, in Deutsch, LAP Lambert Academic Publishing, Taschenbuch, neu.
Lieferung aus: Vereinigte Staaten von Amerika, plusz postaköltség, Hajózási terület: STOCKNEW.
Von Händler/Antiquariat, Alibris, NV, Sparks, [RE:5].
Trade paperback.
Von Händler/Antiquariat, Alibris, NV, Sparks, [RE:5].
Trade paperback.
8
Symbolbild
Design and Implementation of 5g Algorithms on Simd Vector Processor
DE PB NWISBN: 9783659745881 bzw. 365974588X, in Deutsch, LAP Lambert Academic Publishing, Taschenbuch, neu.
Lieferung aus: Vereinigtes Königreich Großbritannien und Nordirland, plusz postaköltség, Hajózási terület: EUR.
Von Händler/Antiquariat, Paperbackshop International, GLOS, Fairford, [RE:4].
Softcover.
Von Händler/Antiquariat, Paperbackshop International, GLOS, Fairford, [RE:4].
Softcover.
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