Downlink Scheduling for Multiclass Traffic in LTE

<p/> <p>We present a design of a complete and practical scheduler for the 3GPP Long Term Evolution (LTE) downlink by integrating recent results on resource allocation, fast computational algorithms, and scheduling. Our scheduler has low computational complexity. We define the computation...

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Main Authors: Madan Ritesh, Sampath Ashwin, Sadiq Bilal
Format: Article
Language:English
Published: SpringerOpen 2009-01-01
Series:EURASIP Journal on Wireless Communications and Networking
Online Access:http://jwcn.eurasipjournals.com/content/2009/510617
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spelling doaj-b9e086768e44478aa4b8a6bd2ce58c592020-11-25T00:20:33ZengSpringerOpenEURASIP Journal on Wireless Communications and Networking1687-14721687-14992009-01-0120091510617Downlink Scheduling for Multiclass Traffic in LTEMadan RiteshSampath AshwinSadiq Bilal<p/> <p>We present a design of a complete and practical scheduler for the 3GPP Long Term Evolution (LTE) downlink by integrating recent results on resource allocation, fast computational algorithms, and scheduling. Our scheduler has low computational complexity. We define the computational architecture and describe the exact computations that need to be done at each time step (1 milliseconds). Our computational framework is very general, and can be used to implement a wide variety of scheduling rules. For LTE, we provide quantitative performance results for our scheduler for full buffer, streaming video (with loose delay constraints), and live video (with tight delay constraints). Simulations are performed by selectively abstracting the PHY layer, accurately modeling the MAC layer, and following established network evaluation methods. The numerical results demonstrate that queue- and channel-aware QoS schedulers can and should be used in an LTE downlink to offer QoS to a diverse mix of traffic, including delay-sensitive flows. Through these results and via theoretical analysis, we illustrate the various design tradeoffs that need to be made in the selection of a specific queue-and-channel-aware scheduling policy. Moreover, the numerical results show that in many scenarios <it>strict prioritization</it> across traffic classes is suboptimal.</p>http://jwcn.eurasipjournals.com/content/2009/510617
collection DOAJ
language English
format Article
sources DOAJ
author Madan Ritesh
Sampath Ashwin
Sadiq Bilal
spellingShingle Madan Ritesh
Sampath Ashwin
Sadiq Bilal
Downlink Scheduling for Multiclass Traffic in LTE
EURASIP Journal on Wireless Communications and Networking
author_facet Madan Ritesh
Sampath Ashwin
Sadiq Bilal
author_sort Madan Ritesh
title Downlink Scheduling for Multiclass Traffic in LTE
title_short Downlink Scheduling for Multiclass Traffic in LTE
title_full Downlink Scheduling for Multiclass Traffic in LTE
title_fullStr Downlink Scheduling for Multiclass Traffic in LTE
title_full_unstemmed Downlink Scheduling for Multiclass Traffic in LTE
title_sort downlink scheduling for multiclass traffic in lte
publisher SpringerOpen
series EURASIP Journal on Wireless Communications and Networking
issn 1687-1472
1687-1499
publishDate 2009-01-01
description <p/> <p>We present a design of a complete and practical scheduler for the 3GPP Long Term Evolution (LTE) downlink by integrating recent results on resource allocation, fast computational algorithms, and scheduling. Our scheduler has low computational complexity. We define the computational architecture and describe the exact computations that need to be done at each time step (1 milliseconds). Our computational framework is very general, and can be used to implement a wide variety of scheduling rules. For LTE, we provide quantitative performance results for our scheduler for full buffer, streaming video (with loose delay constraints), and live video (with tight delay constraints). Simulations are performed by selectively abstracting the PHY layer, accurately modeling the MAC layer, and following established network evaluation methods. The numerical results demonstrate that queue- and channel-aware QoS schedulers can and should be used in an LTE downlink to offer QoS to a diverse mix of traffic, including delay-sensitive flows. Through these results and via theoretical analysis, we illustrate the various design tradeoffs that need to be made in the selection of a specific queue-and-channel-aware scheduling policy. Moreover, the numerical results show that in many scenarios <it>strict prioritization</it> across traffic classes is suboptimal.</p>
url http://jwcn.eurasipjournals.com/content/2009/510617
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AT sampathashwin downlinkschedulingformulticlasstrafficinlte
AT sadiqbilal downlinkschedulingformulticlasstrafficinlte
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