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

Yeonwoo Lee; Steve McLaughlin; Sangboh Yun

doi:10.1109/VETECS.2003.1207162

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 proceeding › Conference 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 language	English
Title of host publication	57th IEEE Semiannual Vehicular Technology Conference, 2003
Publisher	IEEE
Pages	1940-1944
Number of pages	5
Volume	3
ISBN (Print)	0-7803-7757-5
DOIs	https://doi.org/10.1109/VETECS.2003.1207162
Publication status	Published - 2003
Event	57th IEEE Vehicular Technology Conference - Jeju, Korea, Democratic People's Republic of Duration: 22 Apr 2003 → 25 Apr 2003

Conference

Conference	57th IEEE Vehicular Technology Conference
Abbreviated title	VTC 2003-Spring
Country/Territory	Korea, Democratic People's Republic of
City	Jeju
Period	22/04/03 → 25/04/03

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10.1109/VETECS.2003.1207162

Cite this

@inproceedings{6fb7c07f7c0148058d81e99d002c066f,

title = "Radio resource metric estimation for wireless CDMA communication systems maximising radio resource utilisation",

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.",

author = "Yeonwoo Lee and Steve McLaughlin and Sangboh Yun",

note = "INSPEC Accession Number: 7921930; 57th IEEE Vehicular Technology Conference, VTC 2003-Spring ; Conference date: 22-04-2003 Through 25-04-2003",

year = "2003",

doi = "10.1109/VETECS.2003.1207162",

language = "English",

isbn = "0-7803-7757-5",

volume = "3",

pages = "1940--1944",

booktitle = "57th IEEE Semiannual Vehicular Technology Conference, 2003",

publisher = "IEEE",

address = "United States",

}

Lee, Y, McLaughlin, S & Yun, S 2003, Radio resource metric estimation for wireless CDMA communication systems maximising radio resource utilisation. in 57th IEEE Semiannual Vehicular Technology Conference, 2003. vol. 3, IEEE, pp. 1940-1944, 57th IEEE Vehicular Technology Conference, Jeju, Korea, Democratic People's Republic of, 22/04/03. https://doi.org/10.1109/VETECS.2003.1207162

TY - GEN

T1 - Radio resource metric estimation for wireless CDMA communication systems maximising radio resource utilisation

AU - Lee, Yeonwoo

AU - McLaughlin, Steve

AU - Yun, Sangboh

N1 - INSPEC Accession Number: 7921930

PY - 2003

Y1 - 2003

N2 - 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.

AB - 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.

U2 - 10.1109/VETECS.2003.1207162

DO - 10.1109/VETECS.2003.1207162

M3 - Conference contribution

SN - 0-7803-7757-5

VL - 3

SP - 1940

EP - 1944

BT - 57th IEEE Semiannual Vehicular Technology Conference, 2003

PB - IEEE

T2 - 57th IEEE Vehicular Technology Conference

Y2 - 22 April 2003 through 25 April 2003

ER -

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

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