Open AccessRobust predictive filtering schemes for sub‐band CQI feedback compression in 3GPP LTE systems
Author(s) -
Cordina Mario,
Debono Carl J.
Publication year - 2017
Publication title -
iet communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.355
H-Index - 62
eISSN - 1751-8636
pISSN - 1751-8628
DOI - 10.1049/iet-com.2017.0153
Subject(s) - computer science , user equipment , 3rd generation partnership project 2 , overhead (engineering) , lte advanced , real time computing , telecommunications link , computer network , base station , operating system
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.