Radio resource metric estimation for wireless CDMA communication systems maximising radio resource utilisation

Yeonwoo Lee, Steve McLaughlin, Sangboh Yun

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

In this paper, we propose a predictive resource metric region (RMR) based resource metric estimation method, which utilises a resource metric mapping function (RMMF), both of which permit efficient inter-working between the physical layer and higher layers. The RNIR can provide the acceptable resource region where QoS and acceptable link quality can be guaranteed with an achievable resource margin to be utilised in terms of capacity margin, the degree of confidence (DCL) of user, second-order statistics of Eb/Io. With predicted capacity margin and variance, DCL can deliver decision parameters with which an adaptive QoS based admission control can perform well taking capacity and resource availability into account in a dynamic and predictive manner.

Original languageEnglish
Title of host publication57th IEEE Semiannual Vehicular Technology Conference, 2003
PublisherIEEE
Pages1940-1944
Number of pages5
Volume3
ISBN (Print)0-7803-7757-5
DOIs
Publication statusPublished - 2003
Event57th IEEE Vehicular Technology Conference - Jeju, Korea, Democratic People's Republic of
Duration: 22 Apr 200325 Apr 2003

Conference

Conference57th IEEE Vehicular Technology Conference
Abbreviated titleVTC 2003-Spring
Country/TerritoryKorea, Democratic People's Republic of
CityJeju
Period22/04/0325/04/03

Fingerprint

Dive into the research topics of 'Radio resource metric estimation for wireless CDMA communication systems maximising radio resource utilisation'. Together they form a unique fingerprint.

Cite this