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 | |
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 |