Network signalling compression for bit loading

Hang Nguyen, Thierry Lestable

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Link adaptation technology has been introduced in new generation transmission systems such as 3-G or 4-G, optimizing both their throughput and their power consumption. The adaptation of radio configuration requires information about the radio link quality. The information must be exchanged between the access point and the mobile terminal, leading to an associated signaling load, whose amount may decrease the system transmission efficiency. A mechanism for reducing the amount of signaling information has to be designed for increasing the overall system capacity (more users, more available bandwidth). This paper addresses Multi-Carrier systems whose link adaptation is carried out by means of Bit Loading algorithms. However, the associated signaling load increases quickly with the number of sub-carriers, modulation schemes and users. These bit loading vectors are considered a-priori known at the receiver, and almost no literature concerning transmission of such information is available. In realistic transmission systems, correlation exists in time due to Doppler effect, and in frequency due to multi-path delay spread. We intend to exploit this twofold redundancy to decrease the signaling information load related to the power vector data for bit loading. A compression system for both bit allocation and power allocation of the bit loading is proposed. The performance of such compression system is then evaluated.

Original languageEnglish
Title of host publicationSiPS 2005
Subtitle of host publicationIEEE Workshop on Signal Processing Systems - Design and Implementation, Proceedings
Pages735-739
Number of pages5
DOIs
Publication statusPublished - 1 Dec 2005
Externally publishedYes
EventSiPS 2005: IEEE Workshop on Signal Processing Systems - Design and Implementation - Athens, Greece
Duration: 2 Nov 20054 Nov 2005

Publication series

NameIEEE Workshop on Signal Processing Systems, SiPS: Design and Implementation
Volume2005
ISSN (Print)1520-6130

Conference

ConferenceSiPS 2005: IEEE Workshop on Signal Processing Systems - Design and Implementation
Country/TerritoryGreece
CityAthens
Period2/11/054/11/05

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