NEST: novel eMBMS scheduling technique
- Authors
- Saxena N.[Saxena N.]; Singh S.[Singh S.]; Roy A.[Roy A.]; Ail D.H.[Ail D.H.]
- Issue Date
- 2016
- Keywords
- 3GPP LTE; eMBMS; Flat scheme; Markov; Modeling; On-demand; Scheduling technique; UE departure; UE request repetition
- Citation
- Wireless Networks, v.22, no.6, pp.1837 - 1850
- Indexed
- SCOPUS
- Journal Title
- Wireless Networks
- Volume
- 22
- Number
- 6
- Start Page
- 1837
- End Page
- 1850
- URI
- https://scholarworks.bwise.kr/skku/handle/2021.sw.skku/38537
- DOI
- 10.1007/s11276-015-1067-0
- Abstract
- In order to meet the growing demand for mobile multimedia broadcast services 3GPP includes evolved multimedia broadcast and multicast (eMBMS) services in LTE systems. The high data rates, low latency and QoS provisioning makes LTE systems more suitable for mobile broadcast and multicast services than legacy wireless networks. However, the 3GPP standards has not specified any scheduling strategy for this broadcast and multicast services. In this paper, we propose a novel eMBMS scheduling technique (NEST) which focuses on reducing the average waiting time (latency) of the broadcast services offered by LTE system. This paper has twofold contributions. We proffer NEST considering two types of impatience that is user equipment (UE) departure and UE request repetition. Our proposed scheduling strategy estimates the effects originating from the departure of the mobile UEs and UE request repetition case. It intelligently combines the advantages of both flat scheduling and on-demand scheduling in such a way that the overall latency of the system is reduced. We design a suitable modeling framework to analyze the performance of the system. Simulation experiments on typical LTE systems support the performance analysis and demonstrates 10 % gains while comparing with existing eMBMS scheduling available in present LTE systems. © 2015, Springer Science+Business Media New York.
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- Appears in
Collections - Computing and Informatics > Computer Science and Engineering > 1. Journal Articles
- Information and Communication Engineering > Department of Software > 1. Journal Articles
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