NDLI: Robust predictive filtering schemes for sub-band CQI feedback compression in 3GPP LTE systems

Content Provider	IET Digital Library
Author	Cordina, Mario Debono, Carl J.
Abstract	The third generation partnership project (3GPP) long-term evolution (LTE) cellular system offers high data rate capabilities by leveraging several techniques including link adaptation and frequency selective scheduling. These techniques rely on accurate channel quality indicator (CQI) feedback reports that are sent by the user equipment (UE) to the evolved node B, a process which results in high signalling overhead. In this study, the authors propose a UE-assisted sub-band feedback compression scheme based on a predictive filtering technique to reduce this signalling overhead. Four schemes based on adaptive filters have been designed, implemented and tested in an LTE system level simulator. Simulation results indicate that the proposed compression scheme has shown efficacy with an overall CQI feedback signalling reduction of up to 92.5% whilst maintaining stable sector throughput, when compared with the standard 3GPP CQI feedback mechanism. Although the proposed scheme exhibits low computational and memory complexity, a reduced-complexity scheme achieving an average computational load reduction of up to 35% is also presented.
Starting Page	1797
Ending Page	1807
Page Count	11
ISSN	17518628
Volume Number	11
e-ISSN	17518636
Issue Number	Issue 11, Aug (2017)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-com/11/11
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-com.2017.0153
Journal	IET Communications
Publisher Date	2017-05-12
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	3G Mobile Communication 3GPP Long-Term Evolution Cellular System Average Computational Load Reduction Channel Quality Indicator Feedback Computational Complexity Filtering Method in Signal Processing Filtering Theory Frequency Selective Scheduling High Signalling Overhead Link Adaptation Long Term Evolution Low Computational And Memory Complexity Mobile Radio System Overall CQI Feedback Signalling Reduction Robust Predictive Filtering Scheme Signalling Overhead Reduction Subband CQI Feedback Compression Telecommunication Scheduling Third Generation Partnership Project LTE Cellular System UE-assisted Sub-band Feedback Compression Scheme User Equipment Wireless Channel
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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