Antenna beamforming for energy harvesting in cognitive radio networks

Huidong Liu; Jin Chen; Guoru Ding; Theodoros A. Tsiftsis; Corbett Rowell

doi:10.1109/IEEE-IWS.2016.7585472

Antenna beamforming for energy harvesting in cognitive radio networks

Huidong Liu
, Jin Chen
, Guoru Ding
, Theodoros A. Tsiftsis
, Corbett Rowell

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

7 Citations (Scopus)

Abstract

In this paper, a cooperative cognitive radio network (CRN) with energy harvesting capabilities of its secondary users is considered. Specifically, cooperative spectrum sensing and multi-antenna beamforming are employed to improve the sensing performance and the energy transfer efficiency, respectively. In our approach, a homogeneous CRN scenario is studied where the optimal sensing probability of each second user (SU) is obtained to maximize the control center (CC) throughput while satisfying the energy causality and primary user (PU) collision constraints. An iterative algorithm is proposed to obtain the optimal charging time. Numerical results depict that in an energy constrained scenario, cooperative spectrum sensing with beamforming performs much better than cooperative spectrum sensing without beamforming in terms of increased system throughput.

Original language	English
Title of host publication	2016 IEEE MTT-S International Wireless Symposium, IWS 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509006960
DOIs	https://doi.org/10.1109/IEEE-IWS.2016.7585472
Publication status	Published - 6 Oct 2016
Externally published	Yes
Event	2016 IEEE MTT-S International Wireless Symposium, IWS 2016 - Shanghai, China Duration: 14 Mar 2016 → 16 Mar 2016

Publication series

Name	2016 IEEE MTT-S International Wireless Symposium, IWS 2016

Conference

Conference	2016 IEEE MTT-S International Wireless Symposium, IWS 2016
Country/Territory	China
City	Shanghai
Period	14/03/16 → 16/03/16

Free Keywords

cognitive radio networks
Cooperative spectrum sensing
energy beam-forming
energy cooperation
energy harvesting

ASJC Scopus subject areas

Computer Networks and Communications
Electrical and Electronic Engineering
Instrumentation

Access to Document

10.1109/IEEE-IWS.2016.7585472

Cite this

Liu, H., Chen, J., Ding, G., Tsiftsis, T. A., & Rowell, C. (2016). Antenna beamforming for energy harvesting in cognitive radio networks. In 2016 IEEE MTT-S International Wireless Symposium, IWS 2016 Article 7585472 (2016 IEEE MTT-S International Wireless Symposium, IWS 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IEEE-IWS.2016.7585472

@inproceedings{900a039b70a14e7b93204621b400b7b9,

title = "Antenna beamforming for energy harvesting in cognitive radio networks",

abstract = "In this paper, a cooperative cognitive radio network (CRN) with energy harvesting capabilities of its secondary users is considered. Specifically, cooperative spectrum sensing and multi-antenna beamforming are employed to improve the sensing performance and the energy transfer efficiency, respectively. In our approach, a homogeneous CRN scenario is studied where the optimal sensing probability of each second user (SU) is obtained to maximize the control center (CC) throughput while satisfying the energy causality and primary user (PU) collision constraints. An iterative algorithm is proposed to obtain the optimal charging time. Numerical results depict that in an energy constrained scenario, cooperative spectrum sensing with beamforming performs much better than cooperative spectrum sensing without beamforming in terms of increased system throughput.",

keywords = "cognitive radio networks, Cooperative spectrum sensing, energy beam-forming, energy cooperation, energy harvesting",

author = "Huidong Liu and Jin Chen and Guoru Ding and Tsiftsis, \{Theodoros A.\} and Corbett Rowell",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE MTT-S International Wireless Symposium, IWS 2016 ; Conference date: 14-03-2016 Through 16-03-2016",

year = "2016",

month = oct,

day = "6",

doi = "10.1109/IEEE-IWS.2016.7585472",

language = "English",

series = "2016 IEEE MTT-S International Wireless Symposium, IWS 2016",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2016 IEEE MTT-S International Wireless Symposium, IWS 2016",

address = "United States",

}

Liu, H, Chen, J, Ding, G, Tsiftsis, TA & Rowell, C 2016, Antenna beamforming for energy harvesting in cognitive radio networks. in 2016 IEEE MTT-S International Wireless Symposium, IWS 2016., 7585472, 2016 IEEE MTT-S International Wireless Symposium, IWS 2016, Institute of Electrical and Electronics Engineers Inc., 2016 IEEE MTT-S International Wireless Symposium, IWS 2016, Shanghai, China, 14/03/16. https://doi.org/10.1109/IEEE-IWS.2016.7585472

Antenna beamforming for energy harvesting in cognitive radio networks. / Liu, Huidong; Chen, Jin; Ding, Guoru et al.
2016 IEEE MTT-S International Wireless Symposium, IWS 2016. Institute of Electrical and Electronics Engineers Inc., 2016. 7585472 (2016 IEEE MTT-S International Wireless Symposium, IWS 2016).

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

TY - GEN

T1 - Antenna beamforming for energy harvesting in cognitive radio networks

AU - Liu, Huidong

AU - Chen, Jin

AU - Ding, Guoru

AU - Tsiftsis, Theodoros A.

AU - Rowell, Corbett

PY - 2016/10/6

Y1 - 2016/10/6

N2 - In this paper, a cooperative cognitive radio network (CRN) with energy harvesting capabilities of its secondary users is considered. Specifically, cooperative spectrum sensing and multi-antenna beamforming are employed to improve the sensing performance and the energy transfer efficiency, respectively. In our approach, a homogeneous CRN scenario is studied where the optimal sensing probability of each second user (SU) is obtained to maximize the control center (CC) throughput while satisfying the energy causality and primary user (PU) collision constraints. An iterative algorithm is proposed to obtain the optimal charging time. Numerical results depict that in an energy constrained scenario, cooperative spectrum sensing with beamforming performs much better than cooperative spectrum sensing without beamforming in terms of increased system throughput.

AB - In this paper, a cooperative cognitive radio network (CRN) with energy harvesting capabilities of its secondary users is considered. Specifically, cooperative spectrum sensing and multi-antenna beamforming are employed to improve the sensing performance and the energy transfer efficiency, respectively. In our approach, a homogeneous CRN scenario is studied where the optimal sensing probability of each second user (SU) is obtained to maximize the control center (CC) throughput while satisfying the energy causality and primary user (PU) collision constraints. An iterative algorithm is proposed to obtain the optimal charging time. Numerical results depict that in an energy constrained scenario, cooperative spectrum sensing with beamforming performs much better than cooperative spectrum sensing without beamforming in terms of increased system throughput.

KW - cognitive radio networks

KW - Cooperative spectrum sensing

KW - energy beam-forming

KW - energy cooperation

KW - energy harvesting

UR - https://www.scopus.com/pages/publications/84994358434

U2 - 10.1109/IEEE-IWS.2016.7585472

DO - 10.1109/IEEE-IWS.2016.7585472

M3 - Conference contribution

AN - SCOPUS:84994358434

T3 - 2016 IEEE MTT-S International Wireless Symposium, IWS 2016

BT - 2016 IEEE MTT-S International Wireless Symposium, IWS 2016

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2016 IEEE MTT-S International Wireless Symposium, IWS 2016

Y2 - 14 March 2016 through 16 March 2016

ER -

Antenna beamforming for energy harvesting in cognitive radio networks

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Free Keywords

ASJC Scopus subject areas

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