NDLI: Performance study of downlink scheduling for video streaming in LTE network

Content Provider	IEEE Xplore Digital Library
Author	Meng-Hsien Lin Yen-Wen Chen
Copyright Year	2014
Description	Author affiliation: Chunghwa Telecom Labs., Taoyuan, Taiwan (Meng-Hsien Lin) \|\| Dept. of Commun. Eng., Nat. Central Univ., Jhongli, Taiwan (Yen-Wen Chen)
Abstract	The Long Term Evolution (LTE) network is recognized as the next generation wireless network, which provides high bandwidth and low latency for emerging mobile applications. The issue of power saving is very crucial for the success of service deployment. This paper presents a novel downlink scheduling approach to reduce power consumption while maintaining the receiving quality of video streaming in LTE network. The proposed scheduler considers the buffer length and channel conditions of user equipment (UE) to allocate radio resource, so that the UE can receive as many video packets as possible when the UE is in the RRC_Connected state especially with good channel condition, while the UE will stay in the RRC_Idle state the longer the better to save power given that its buffered video data is enough to play. The 1080P resolution video traffic model was applied for exhaustive simulations to examine the performance of the proposed scheme. The simulation results indicate the tradeoff between the power saving and signaling message overhead issues. And the impacts of related parameters are also studied in this paper.
Sponsorship	IEICE ICM
Starting Page	1
Ending Page	6
File Size	740979
Page Count	6
File Format	PDF
ISBN	9784885522888
DOI	10.1109/APNOMS.2014.6996553
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-09-17
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Signaling Power demand Bandwidth Resource allocation Streaming media Throughput Mobile communication Scheduling Resource management LTE Power saving Long Term Evolution
Content Type	Text
Resource Type	Article

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