research-article

Broadband Hybrid Satellite-Terrestrial Communication Systems Based on Cognitive Radio toward 5G

Authors:

Naitong ZhangAuthors Info & Claims

IEEE Wireless Communications, Volume 23, Issue 6

Pages 96 - 106

https://doi.org/10.1109/MWC.2016.1500108WC

Published: 24 November 2019 Publication History

Abstract

The development of 5G terrestrial mobile communications technology has been a driving force for revolutionizing satellite mobile communications. Satellite mobile communications, which carry many unique features, such as large coverage and support for reliable emergency communications, should satisfy the requirements for convergence between terrestrial mobile communications and satellite mobile communications for future broadband hybrid S-T communications. On the other hand, CR is an attractive technique to support dynamic single-user or multi-user access in hybrid S-T communications. This article first discusses several key issues in applying cognitive radio to future broadband satellite communications toward 5G. Then we present an overview of future broadband hybrid S-T communications systems, followed by an introduction to a typical application scenario of futuristic CR-broadband hybrid S-T communication systems toward 5G. Moreover, we propose a space segment design based on a spectrum-sensing-based cooperative framework, in consideration of the presence of MUs. An experiment platform for the proposed CR-based hybrid S-T communications system is also demonstrated.

References

[1]

A. Ansari, S. Dutta and M. Tseytlin, “ S-WiMAX: Adaptation of IEEE 802.16e for Mobile Satellite Services,” IEEE Commun. Mag., vol. Volume 47, no. Issue 6, 2015, pp. 150–55.

[2]

Y. Okano, “ Novel Hybrid Antenna for Broadcasting Satellite and Terrestrial HD-TV,” IEEE Trans. Antennas & Propagation, vol. Volume 63, no. Issue 4, 2015, pp. 1425–35.

[3]

J. P. Choi and C. H. Joo, “ Challenges for Efficient and Seamless Space-Terrestrial Heterogeneous Networks,” IEEE Commun. Mag., vol. Volume 53, no. Issue 5. 2015, pp. 156–62.

[4]

J. Mitola and G. Q. Maguire, “ Cognitive Radio: Making Software Radios More Personal,” IEEE Personal Commun., vol. Volume 6, no. Issue 4, 1999, pp. 12–18.

[5]

C. Sun, W. Zhang, and L. Khaled, “ Cooperative Spectrum Sensing for Cognitive Radios under Bandwidth Constraints,” in Proc. IEEE Wireless Commun. Networking Conf., 2007, pp. 1–5.

Digital Library

[6]

P. Kaligineedi, M. Khabbazian, and V. K. Bhargava, “ Malicious User Detection in a Cognitive Radio Cooperative Sensing System,” IEEE Trans. Wireless Commun., vol. Volume 9, no. Issue 8, 2010, pp. 2488–97.

Digital Library

[7]

S. Jana, “ Trusted Collaborative Spectrum Sensing for Mobile Cognitive Radio Networks,” IEEE Trans. Info. Forens. Security, vol. Volume 8, no. Issue 9, 2013, pp. 1497–1507.

[8]

M. J. A. Rahman, M. Krunz, and R. Erwin, “ Exploiting Cognitive Radios for Reliable Satellite Communications,” Int'l. J. Satellite Commun. Networking, vol. Volume 33, no. Issue 3, 2015, pp. 197–216.

[9]

S. Maleki, “ Cognitive Spectrum Utilization in Ka Band Multibeam Satellite Communications,” IEEE Commun. Mag., vol. Volume 53, no. Issue 3, 2015, pp. 24–29.

Digital Library

[10]

R. H. Wang, “ Which DTN CLP Is Best for Long-Delay Cislunar Communications with Channel-Rate Asymmetry?,” IEEE Wireless Commun., vol. Volume 18, no. Issue 6, 2011, pp. 10–16.

[11]

Q. Yu, “ The Effect of DTN Custody Transfer in Deep-Space Communications,” IEEE Wireless Commun., vol. Volume 20, no. Issue 5, 2013, pp. 169–76.

[12]

S. Kandeepan, “ Cognitive Satellite Terrestrial Radios,” in Proc. IEEE GLOBECOM, 2010, pp. 1–6.

[13]

M. K. Arti and M. R. Bhatnagar, “ Beamforming and Combining In Hybrid Satellite-Terrestrial Cooperative Systems,” IEEE Commun. Lett., vol. Volume 18, no. Issue 3, 2014, pp. 483–86.

[14]

K. An, “ Performance Analysis of Multi-Antenna Hybrid Satellite-Terrestrial Relay Networks in the Presence of Interference,” IEEE Trans. Commun., vol. Volume 63, no. Issue 11, 2015, pp. 4390–4404.

[15]

D. L. Donoho, “ Compressed Sensing,” IEEE Trans. Info. Theory, vol. Volume 52, no. Issue 4, 2006, pp. 1289–1306.

Digital Library

[16]

A. J. Goldsmith and P. P. Varaiya, “ Capacity of Fading Channels with Channel Side Information,” IEEE Trans. Info. Theory, vol. Volume 43, no. Issue 6, 1997, pp. 1986–92.

Digital Library

[17]

A. Ghasemi and E. S. Sousa, “ Opportunistic Spectrum Access in Fading Channels through Collaborative Sensing,” J. Commun., vol. Volume 2, no. Issue 2, 2007, pp. 71–82.

[18]

F. F. Digham, M. S. Alouini, and M. K. Simon, “ On the Energy Detection of Unknown Signals over Fading Channels,” IEEE Trans. Commun., vol. Volume 55, no. Issue 1, 2007, pp. 21–24.

[19]

C. Zhang and K. K. Pang, “ Synchronization Sequence Generated by Modified Park Algorithm for NC-OFDM Transmission,” IEEE Signal Processing Lett., vol. Volume 22, no. Issue 4, 2015, pp. 385–89.

Cited By

Liu ZJiang YYan YRen X(2024)Research on spectrum sensing method of space-ground integrated networks based on two-level cooperative cognitionWireless Networks10.1007/s11276-023-03612-130:3(1619-1632)Online publication date: 1-Apr-2024
https://dl.acm.org/doi/10.1007/s11276-023-03612-1
Wang LLam KZhang JLi F(2024)Spectrum optimization in cognitive satellite networks with graph coloring methodWireless Networks10.1007/s11276-019-02138-930:5(3443-3452)Online publication date: 1-Jul-2024
https://dl.acm.org/doi/10.1007/s11276-019-02138-9
Liu XChen XZhao KYang LZhao YFan C(2024)Energy-efficiently collaborative data downloading in optical satellite networksWireless Networks10.1007/s11276-019-02120-530:5(3429-3441)Online publication date: 1-Jul-2024
https://dl.acm.org/doi/10.1007/s11276-019-02120-5
Show More Cited By

Index Terms

Broadband Hybrid Satellite-Terrestrial Communication Systems Based on Cognitive Radio toward 5G
1. Hardware
  1. Communication hardware, interfaces and storage
2. Networks
  1. Network protocols
  2. Network types
    1. Mobile networks

Index terms have been assigned to the content through auto-classification.

Recommendations

Cognitive hybrid satellite-terrestrial systems
CogART '11: Proceedings of the 4th International Conference on Cognitive Radio and Advanced Spectrum Management

The radio resource shortage is one of the most important characteristic to take into account when deploying modern wireless telecommunication systems. A novel communication paradigm named Cognitive Radio, has been introduced in the last years for better ...
Joint cooperative spectrum sensing and channel selection optimization for satellite communication systems based on cognitive radio

Cognitive radio has attracted considerable attention because of its ability to make full use of the available spectrum resources for wireless terrestrial communication networks. In addition, the satellite communication scenario, which requires a ...
Hybrid satellite/terrestrial networks: state of the art and future perspectives
IWSTI '07: QShine 2007 Workshop: Satellite/Terrestrial Interworking

In this paper, the main role of satellite systems in hybrid satellite/terrestrial networks will be highlighted, as well as the main functions which should be performed to optimize the performance of these hybrid networks. Then, some typical services ...

Comments

Information & Contributors

Information

Published In

cover image IEEE Wireless Communications

IEEE Wireless Communications Volume 23, Issue 6

December 2016

155 pages

ISSN:1536-1284

Issue’s Table of Contents

Copyright © 2016.

Publisher

IEEE Press

Publication History

Published: 24 November 2019

Qualifiers

Research-article

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

40
Total Citations
View Citations
0
Total Downloads

Downloads (Last 12 months)0
Downloads (Last 6 weeks)0

Reflects downloads up to 11 Aug 2024

Other Metrics

View Author Metrics

Citations

Cited By

Liu ZJiang YYan YRen X(2024)Research on spectrum sensing method of space-ground integrated networks based on two-level cooperative cognitionWireless Networks10.1007/s11276-023-03612-130:3(1619-1632)Online publication date: 1-Apr-2024
https://dl.acm.org/doi/10.1007/s11276-023-03612-1
Wang LLam KZhang JLi F(2024)Spectrum optimization in cognitive satellite networks with graph coloring methodWireless Networks10.1007/s11276-019-02138-930:5(3443-3452)Online publication date: 1-Jul-2024
https://dl.acm.org/doi/10.1007/s11276-019-02138-9
Liu XChen XZhao KYang LZhao YFan C(2024)Energy-efficiently collaborative data downloading in optical satellite networksWireless Networks10.1007/s11276-019-02120-530:5(3429-3441)Online publication date: 1-Jul-2024
https://dl.acm.org/doi/10.1007/s11276-019-02120-5
Xie LZhou MWang YNie WYang XLiu X(2024)A low power clock generator with self-calibration for UHF RFID tags in intelligent terrestrial sensor networksWireless Networks10.1007/s11276-019-02102-730:5(3409-3417)Online publication date: 1-Jul-2024
https://dl.acm.org/doi/10.1007/s11276-019-02102-7
Zhang ZLi YQi L(2024)Research on multifractal dimension and improved gray relation theory for intelligent satellite signal recognitionWireless Networks10.1007/s11276-019-02097-130:5(3419-3427)Online publication date: 1-Jul-2024
https://dl.acm.org/doi/10.1007/s11276-019-02097-1
Wang YJia XZhou MXie LTian Z(2024)A novel F-RCNN based hand gesture detection approach for FMCW systemsWireless Networks10.1007/s11276-019-02096-230:5(3395-3408)Online publication date: 1-Jul-2024
https://dl.acm.org/doi/10.1007/s11276-019-02096-2
Li BYang JYang HLiu GMa RPeng X(2024)Decode-and-forward cooperative transmission in wireless sensor networks based on physical-layer network codingWireless Networks10.1007/s11276-019-02092-630:5(3387-3393)Online publication date: 1-Jul-2024
https://dl.acm.org/doi/10.1007/s11276-019-02092-6
Yang XLu SZhou MTian ZTan W(2024)GPS attitude measurement with baseline constrained optimization algorithm for unpiloted carWireless Networks10.1007/s11276-019-02062-y30:5(3375-3386)Online publication date: 1-Jul-2024
https://dl.acm.org/doi/10.1007/s11276-019-02062-y
Jiang XDiao M(2024)A new type double-threshold signal detection algorithm for satellite communication systems based on stochastic resonance technologyWireless Networks10.1007/s11276-019-02020-830:5(3367-3374)Online publication date: 1-Jul-2024
https://dl.acm.org/doi/10.1007/s11276-019-02020-8
Li XSun YZhou LXu YZhou S(2024)A resource allocation scheme based on predatory search algorithm for ultra-dense D2D communicationsWireless Networks10.1007/s11276-019-02012-830:5(3357-3365)Online publication date: 1-Jul-2024
https://dl.acm.org/doi/10.1007/s11276-019-02012-8
Show More Cited By

View Options

View options

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

Media

Figures

Other

Tables

View Issue’s Table of Contents