Adaptive Resource Allocation for Device-to-Device Aided Cellular Systems

Xianxian Wang; Shaobo Lv; Xiaoyu Liang; Tong Liu; Hongwen Cheng; Zhongshan Zhang

doi:10.1007/978-3-319-72823-0_27

Adaptive Resource Allocation for Device-to-Device Aided Cellular Systems

Xianxian Wang, Shaobo Lv, Xiaoyu Liang, Tong Liu^*, Hongwen Cheng, Zhongshan Zhang

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

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.

Original language	English
Title of host publication	5G for Future Wireless Networks - 1st International Conference, 5GWN 2017, Proceedings
Editors	Zhiyong Feng, Yonghui Li, Victor C.M. Leung, Keping Long, Haijun Zhang, Zhongshan Zhang
Publisher	Springer Verlag
Pages	276-287
Number of pages	12
ISBN (Print)	9783319728223
DOIs	https://doi.org/10.1007/978-3-319-72823-0_27
Publication status	Published - 2018
Externally published	Yes
Event	1st International Conference on 5G for Future Wireless Networks, 5GWN 2017 - Beijing, China Duration: 21 Apr 2017 → 23 Apr 2017

Publication series

Name	Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume	211
ISSN (Print)	1867-8211

Conference

Conference	1st International Conference on 5G for Future Wireless Networks, 5GWN 2017
Country/Territory	China
City	Beijing
Period	21/04/17 → 23/04/17

Keywords

D2D-access probability
Device-to-device
Network throughput

Access to Document

10.1007/978-3-319-72823-0_27

Cite this

Wang, X., Lv, S., Liang, X., Liu, T., Cheng, H., & Zhang, Z. (2018). Adaptive Resource Allocation for Device-to-Device Aided Cellular Systems. In Z. Feng, Y. Li, V. C. M. Leung, K. Long, H. Zhang, & Z. Zhang (Eds.), 5G for Future Wireless Networks - 1st International Conference, 5GWN 2017, Proceedings (pp. 276-287). (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 211). Springer Verlag. https://doi.org/10.1007/978-3-319-72823-0_27

Wang, Xianxian ; Lv, Shaobo ; Liang, Xiaoyu et al. / Adaptive Resource Allocation for Device-to-Device Aided Cellular Systems. 5G for Future Wireless Networks - 1st International Conference, 5GWN 2017, Proceedings. editor / Zhiyong Feng ; Yonghui Li ; Victor C.M. Leung ; Keping Long ; Haijun Zhang ; Zhongshan Zhang. Springer Verlag, 2018. pp. 276-287 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST).

@inproceedings{4ffb6a7339b04aca9321259464bc5e73,

title = "Adaptive Resource Allocation for Device-to-Device Aided Cellular Systems",

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.",

keywords = "D2D-access probability, Device-to-device, Network throughput",

author = "Xianxian Wang and Shaobo Lv and Xiaoyu Liang and Tong Liu and Hongwen Cheng and Zhongshan Zhang",

note = "Publisher Copyright: {\textcopyright} 2018, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.; 1st International Conference on 5G for Future Wireless Networks, 5GWN 2017 ; Conference date: 21-04-2017 Through 23-04-2017",

year = "2018",

doi = "10.1007/978-3-319-72823-0_27",

language = "English",

isbn = "9783319728223",

series = "Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST",

publisher = "Springer Verlag",

pages = "276--287",

editor = "Zhiyong Feng and Yonghui Li and Leung, {Victor C.M.} and Keping Long and Haijun Zhang and Zhongshan Zhang",

booktitle = "5G for Future Wireless Networks - 1st International Conference, 5GWN 2017, Proceedings",

address = "Germany",

}

Wang, X, Lv, S, Liang, X, Liu, T, Cheng, H & Zhang, Z 2018, Adaptive Resource Allocation for Device-to-Device Aided Cellular Systems. in Z Feng, Y Li, VCM Leung, K Long, H Zhang & Z Zhang (eds), 5G for Future Wireless Networks - 1st International Conference, 5GWN 2017, Proceedings. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, vol. 211, Springer Verlag, pp. 276-287, 1st International Conference on 5G for Future Wireless Networks, 5GWN 2017, Beijing, China, 21/04/17. https://doi.org/10.1007/978-3-319-72823-0_27

Adaptive Resource Allocation for Device-to-Device Aided Cellular Systems. / Wang, Xianxian; Lv, Shaobo; Liang, Xiaoyu et al.
5G for Future Wireless Networks - 1st International Conference, 5GWN 2017, Proceedings. ed. / Zhiyong Feng; Yonghui Li; Victor C.M. Leung; Keping Long; Haijun Zhang; Zhongshan Zhang. Springer Verlag, 2018. p. 276-287 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 211).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Adaptive Resource Allocation for Device-to-Device Aided Cellular Systems

AU - Wang, Xianxian

AU - Lv, Shaobo

AU - Liang, Xiaoyu

AU - Liu, Tong

AU - Cheng, Hongwen

AU - Zhang, Zhongshan

PY - 2018

Y1 - 2018

N2 - 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.

AB - 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.

KW - D2D-access probability

KW - Device-to-device

KW - Network throughput

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DO - 10.1007/978-3-319-72823-0_27

M3 - Conference contribution

AN - SCOPUS:85040252969

SN - 9783319728223

T3 - Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST

SP - 276

EP - 287

BT - 5G for Future Wireless Networks - 1st International Conference, 5GWN 2017, Proceedings

A2 - Feng, Zhiyong

A2 - Li, Yonghui

A2 - Leung, Victor C.M.

A2 - Long, Keping

A2 - Zhang, Haijun

A2 - Zhang, Zhongshan

PB - Springer Verlag

T2 - 1st International Conference on 5G for Future Wireless Networks, 5GWN 2017

Y2 - 21 April 2017 through 23 April 2017

ER -

Wang X, Lv S, Liang X, Liu T, Cheng H, Zhang Z. Adaptive Resource Allocation for Device-to-Device Aided Cellular Systems. In Feng Z, Li Y, Leung VCM, Long K, Zhang H, Zhang Z, editors, 5G for Future Wireless Networks - 1st International Conference, 5GWN 2017, Proceedings. Springer Verlag. 2018. p. 276-287. (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST). doi: 10.1007/978-3-319-72823-0_27