Abstract
Interference management and supporting quality-of-service (QoS) requirements are the main challenges for the spectral resource allocation in orthogonal frequency division multiple access (OFDMA) small cells networks. In this study, the authors propose an algorithm for assigning physical resource block (PRB) with QoS constraints to eliminate interference among femtocells. They formulate the proposed resource allocation scheme as an optimisation problem where interference among femtocells is entirely avoided and multiple QoS for different services are supported. The proposed optimisation problem imposes the fairness among different femtocells and maximises the PRB efficiency. However, this problem is NP-complete, and thus, they offer a greedy algorithm for solving the problem. Simulation results show the throughput of their greedy algorithm is close to the optimal solution of the optimisation problem. Moreover, the proposed algorithm improves the network throughput by over 30-50% in different simulation scenarios with various femtocells densities in comparison to the previous methods. Furthermore, simulations illustrate the rejection ratio for all classes of services is lower than 3%. Besides, the delays of different services are lower than the delay constraints.
| Original language | English |
|---|---|
| Pages (from-to) | 441-448 |
| Number of pages | 8 |
| Journal | IET Communications |
| Volume | 12 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - Mar 6 2018 |
Fingerprint
ASJC Scopus subject areas
- Computer Science Applications
- Electrical and Electronic Engineering
Cite this
QoS-aware downlink radio resource management in OFDMA-based small cells networks. / Aghababaiyan, Keyvan; Maham, Behrouz.
In: IET Communications, Vol. 12, No. 4, 06.03.2018, p. 441-448.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - QoS-aware downlink radio resource management in OFDMA-based small cells networks
AU - Aghababaiyan, Keyvan
AU - Maham, Behrouz
PY - 2018/3/6
Y1 - 2018/3/6
N2 - Interference management and supporting quality-of-service (QoS) requirements are the main challenges for the spectral resource allocation in orthogonal frequency division multiple access (OFDMA) small cells networks. In this study, the authors propose an algorithm for assigning physical resource block (PRB) with QoS constraints to eliminate interference among femtocells. They formulate the proposed resource allocation scheme as an optimisation problem where interference among femtocells is entirely avoided and multiple QoS for different services are supported. The proposed optimisation problem imposes the fairness among different femtocells and maximises the PRB efficiency. However, this problem is NP-complete, and thus, they offer a greedy algorithm for solving the problem. Simulation results show the throughput of their greedy algorithm is close to the optimal solution of the optimisation problem. Moreover, the proposed algorithm improves the network throughput by over 30-50% in different simulation scenarios with various femtocells densities in comparison to the previous methods. Furthermore, simulations illustrate the rejection ratio for all classes of services is lower than 3%. Besides, the delays of different services are lower than the delay constraints.
AB - Interference management and supporting quality-of-service (QoS) requirements are the main challenges for the spectral resource allocation in orthogonal frequency division multiple access (OFDMA) small cells networks. In this study, the authors propose an algorithm for assigning physical resource block (PRB) with QoS constraints to eliminate interference among femtocells. They formulate the proposed resource allocation scheme as an optimisation problem where interference among femtocells is entirely avoided and multiple QoS for different services are supported. The proposed optimisation problem imposes the fairness among different femtocells and maximises the PRB efficiency. However, this problem is NP-complete, and thus, they offer a greedy algorithm for solving the problem. Simulation results show the throughput of their greedy algorithm is close to the optimal solution of the optimisation problem. Moreover, the proposed algorithm improves the network throughput by over 30-50% in different simulation scenarios with various femtocells densities in comparison to the previous methods. Furthermore, simulations illustrate the rejection ratio for all classes of services is lower than 3%. Besides, the delays of different services are lower than the delay constraints.
UR - http://www.scopus.com/inward/record.url?scp=85043285007&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85043285007&partnerID=8YFLogxK
U2 - 10.1049/iet-com.2017.1222
DO - 10.1049/iet-com.2017.1222
M3 - Article
AN - SCOPUS:85043285007
VL - 12
SP - 441
EP - 448
JO - IET Communications
JF - IET Communications
SN - 1751-8628
IS - 4
ER -