Interference and throughput aware resource allocation for multi-class D2D in 5G networks

被引:23
作者
Ferdouse, Lilatul [1 ]
Ejaz, Waleed [1 ]
Raahemifar, Kaamran [1 ]
Anpalagan, Alagan [1 ]
Markandaier, Mohan [2 ]
机构
[1] Ryerson Univ, Dept Elect & Comp Engn, Toronto, ON M5B 2K3, Canada
[2] Pulse Inc, Markham, ON, Canada
关键词
5G mobile communication; cellular radio; resource allocation; frequency division multiple access; OFDM modulation; radio spectrum management; quality of service; radiofrequency interference; optimisation; throughput aware resource allocation; Interference aware resource allocation; orthogonal frequency division multiple access; 5G device-to-device networks; spectrum efficiency improvement; D2D users; legacy users; underlay approach; throughput efficient subcarrier allocation; geometric water-filling based optimal power allocation method; multiclass cellular D2D systems; TESA method; data rate constraints; interference constraints; GWFOPA method; TO-DEVICE COMMUNICATION;
D O I
10.1049/iet-com.2016.1166
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This study examines subcarrier and optimal power allocation in orthogonal frequency division multiple access based 5G device-to-device (D2D) networks. To improve spectrum efficiency, D2D users share same subcarriers with the legacy users using underlay approach. In this approach, it is challenging to design an efficient subcarrier and power allocation method for D2D networks which guarantees the quality of service requirements of legacy users. Therefore, the key constraint is to check the interference condition among D2D and legacy users while allocating the same resources to D2D users. In this study, the authors propose a throughput efficient subcarrier allocation (TESA) and geometric water-filling based optimal power allocation (GWFOPA) method for multi-class cellular D2D systems. First, the TESA method selects subcarriers and allocates power equally for D2D users according to their service classes while maintaining interference and data rate constraints. Then, the GWFOPA method is applied to optimise power in a computationally effective way. The objective of TESA and GWFOPA method is to maximise the data rate of each class while maintaining interference constraint and fairness among the D2D users. Finally, the authors present simulation results to evaluate performance of TESA and GWFOPA in terms of throughput, user data rate, and fairness.
引用
收藏
页码:1241 / 1250
页数:10
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