Research Article
Adaptive Resource Allocation for Device-to-Device Aided Cellular Systems
@INPROCEEDINGS{10.1007/978-3-319-72823-0_27, author={Xianxian Wang and Shaobo Lv and Xiaoyu Liang and Tong Liu and Hongwen Cheng and Zhongshan Zhang}, title={Adaptive Resource Allocation for Device-to-Device Aided Cellular Systems}, proceedings={5G for Future Wireless Networks. First International Conference, 5GWN 2017, Beijing, China, April 21-23, 2017, Proceedings}, proceedings_a={5GWN}, year={2018}, month={1}, keywords={Device-to-device D2D-access probability Network throughput}, doi={10.1007/978-3-319-72823-0_27} }- Xianxian Wang
Shaobo Lv
Xiaoyu Liang
Tong Liu
Hongwen Cheng
Zhongshan Zhang
Year: 2018
Adaptive Resource Allocation for Device-to-Device Aided Cellular Systems
5GWN
Springer
DOI: 10.1007/978-3-319-72823-0_27
Abstract
Resource allocation in device-to-device (D2D) aided cellular systems, in which the proximity users are allowed to communicate directly with each other without relying on the intervention of base stations (BSs), is investigated. A new uplink resource allocation policy is proposed for enabling the D2D user equipments (DUEs) to reuse the licensed spectrum, provided that the minimum signal-to-interference (SIR) requirement of conventional cellular user equipments (CUEs) is satisfied. Furthermore, the proposed resource-allocation problem can be formulated as “maximizing the number of simultaneously activated D2D pairs subject to the SIR constraints at both CUEs and DUEs”. Numerical results relying on system-level simulation show that the proposed scheme is capable of substantially improving both the D2D-access probability and the network throughput without sacrificing the performance of conventional CUEs.
