Abstract
This paper proposes an admission control algorithm for cellular networks based on the direct and dynamic monitoring of quality of services (QoS) performance metrics - both system delay tail and residual throughput. The main purpose of directly monitoring these QoS performance metrics is to more precisely meet the QoS requirements. The delay tail is efficiently estimated by the proposed algorithm and the total residual throughput is determined based on the total achieved throughput and total required throughput. With the estimated delay tails and measured residual throughput, the admission or rejection of a new user is determined at each base station. By doing so, the admission control algorithm improves resource utilization by guaranteeing the QoS. Additionally, the cellular system becomes more robust against the time-varying fading channel environment. The simulation results of the long term evolution downlink system show that the proposed algorithm can achieve a significant improvement in results compared to those of reference schemes. A general Neyman-Pearson-like framework is also used in evaluating the various admission control mechanisms.
| Original language | English |
|---|---|
| Pages (from-to) | 131-144 |
| Number of pages | 14 |
| Journal | Wireless Networks |
| Volume | 19 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 2013 Jan 1 |
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Keywords
- Admission control
- Delay estimation
- Neyman-Pearson
- OFDM
- QoS guarantee
- QoS metric
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Computer Networks and Communications
- Information Systems
Cite this
Admission control for cellular networks with direct QoS monitoring. / Kim, Dae Hee; Zhang, Danlu; Bhushan, Naga; Pankaj, Rajesh; Oh, Seong-Jun.
In: Wireless Networks, Vol. 19, No. 2, 01.01.2013, p. 131-144.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Admission control for cellular networks with direct QoS monitoring
AU - Kim, Dae Hee
AU - Zhang, Danlu
AU - Bhushan, Naga
AU - Pankaj, Rajesh
AU - Oh, Seong-Jun
PY - 2013/1/1
Y1 - 2013/1/1
N2 - This paper proposes an admission control algorithm for cellular networks based on the direct and dynamic monitoring of quality of services (QoS) performance metrics - both system delay tail and residual throughput. The main purpose of directly monitoring these QoS performance metrics is to more precisely meet the QoS requirements. The delay tail is efficiently estimated by the proposed algorithm and the total residual throughput is determined based on the total achieved throughput and total required throughput. With the estimated delay tails and measured residual throughput, the admission or rejection of a new user is determined at each base station. By doing so, the admission control algorithm improves resource utilization by guaranteeing the QoS. Additionally, the cellular system becomes more robust against the time-varying fading channel environment. The simulation results of the long term evolution downlink system show that the proposed algorithm can achieve a significant improvement in results compared to those of reference schemes. A general Neyman-Pearson-like framework is also used in evaluating the various admission control mechanisms.
AB - This paper proposes an admission control algorithm for cellular networks based on the direct and dynamic monitoring of quality of services (QoS) performance metrics - both system delay tail and residual throughput. The main purpose of directly monitoring these QoS performance metrics is to more precisely meet the QoS requirements. The delay tail is efficiently estimated by the proposed algorithm and the total residual throughput is determined based on the total achieved throughput and total required throughput. With the estimated delay tails and measured residual throughput, the admission or rejection of a new user is determined at each base station. By doing so, the admission control algorithm improves resource utilization by guaranteeing the QoS. Additionally, the cellular system becomes more robust against the time-varying fading channel environment. The simulation results of the long term evolution downlink system show that the proposed algorithm can achieve a significant improvement in results compared to those of reference schemes. A general Neyman-Pearson-like framework is also used in evaluating the various admission control mechanisms.
KW - Admission control
KW - Delay estimation
KW - Neyman-Pearson
KW - OFDM
KW - QoS guarantee
KW - QoS metric
UR - http://www.scopus.com/inward/record.url?scp=84878612767&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84878612767&partnerID=8YFLogxK
U2 - 10.1007/s11276-012-0455-y
DO - 10.1007/s11276-012-0455-y
M3 - Article
AN - SCOPUS:84878612767
VL - 19
SP - 131
EP - 144
JO - Wireless Networks
JF - Wireless Networks
SN - 1022-0038
IS - 2
ER -