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

• Published in: IET communications Vol. 11; no. 11; pp. 1797 - 1807
• Main Authors: Cordina, Mario, Debono, Carl J
• Format: Journal Article
• Language: English
• Published: The Institution of Engineering and Technology 03.08.2017
• Subjects: 3G mobile communication; 3GPP Long‐Term Evolution cellular system; average computational load reduction; channel quality indicator feedback; computational complexity; filtering theory; frequency selective scheduling; high signalling overhead; link adaptation; Long Term Evolution; low computational and memory complexity; overall CQI feedback signalling reduction; Research Article; 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 channels; third generation partnership project LTE cellular system; UE-assisted sub-band feedback compression scheme; robust predictive filtering scheme; user equipment; 3G mobile communication; filtering theory; channel quality indicator feedback; overall CQI feedback signalling reduction; telecommunication scheduling; frequency selective scheduling; high signalling overhead; signalling overhead reduction; low computational and memory complexity; average computational load reduction; wireless channels; subband CQI feedback compression; 3GPP Long-Term Evolution cellular system; Long Term Evolution; computational complexity; link adaptation
• ISSN: 1751-8628; 1751-8636
• DOI: 10.1049/iet-com.2017.0153

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.