Top

Wireless Personal Communications

Published in:

20-03-2019

Enabling Generic Wireless Coexistence Through Technology-Agnostic Dynamic Spectrum Access

Authors: Irfan Jabandžić, Spilios Giannoulis, Ingrid Moerman

Published in: Wireless Personal Communications | Issue 1/2019

Activate our intelligent search to find suitable subject content or patents.

search-config

AI-assisted search

Off

Abstract

Every year that passes, new standardized and proprietary wireless communication technologies are introduced in the market that seeks to find its place within the already highly congested spectrum. Regulation bodies all around the globe are struggling to keep up with the continuously increasing demand for new bands to offer to specific technologies, some of them requiring by design an exclusive frequency band in order to operate efficiently. Even wireless bands offered for public or scientific usage like the ISM bands are becoming the natural habitat of multiple wireless technologies that seek to use or “abuse” them in order to provide even more bandwidth to their offered applications. Wireless research teams targeting heterogeneous wireless communication coexistence are developing techniques for enabling one-to-one coexistence between various wireless technologies. Can such an exhaustive approach be the solution for N wireless technologies that wish to operate in the same band? We believe that a one-to-one approach is inefficient and cannot lead to a generic coexistence paradigm, applicable to every existing or new wireless communication technology that will arise in the future. Can another approach provide a more generic solution in terms of frequency reuse and coexistence compared to the one-dimensional frequency separation approach commonly used in commercial deployments today. Can such a generic approach provide a simple and easily adoptable coexistence model for existing technologies? In this paper we present a new generic medium sharing model that solves the huge coexistence problems observed today in a simple and efficient way. Our approach is technology-agnostic and compatible with all existing wireless communication technologies and also has the capability to support emerging ones with minimum overhead.

previous article Resource Reuse for D2D Communication in LTE Networks by Efficient Grouping

next article Edge-Node-Aware Adaptive Data Processing Framework for Smart Grid

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Lien, S.-Y., Chen, K.-C., & Lin, Y. (2011). Toward ubiquitous massive accesses in 3GPP machine-to-machine communications. IEEE Communications Magazine, 49(4), 66–74.CrossRef

Chen, K.-C., & Lien, S.-Y. (2014). Machine-to-machine communications: Technologies and challenges. Ad Hoc Networks, 18, 3–23.CrossRef

Lo, A., Yee, L., & Jacobsson, M. (2013). A cellular-centric service architecture for machine-to-machine (M2M) communications. IEEE Communications Magazine, 20(5), 143–151.CrossRef

Andrews, J. G., et al. (2014). What will 5G be? IEEE Journal on Selected Areas in Communications, 32(6), 1065–1082.MathSciNetCrossRef

Chen, S., & Zhao, J. (2014). The requirements, challenges, and technologies for 5G of terrestrial mobile telecommunication. IEEE Communications Magazine, 52(5), 36–43.CrossRef

Cisco Visual Networking Index: Global mobile data traffic forecast update, 2016–2021, Cisco, February 2017.

Spectrum policy task force report. Federal Communications Commission, November 2002. Retrieved August 20 2018. Available at https://www.fcc.gov/document/spectrum-policy-task-force.

Cabric, D. B., & Brodersen, R. W. (2007). Cognitive radios: System design perspective, technical report no. UCB/EECS-2007-156.

Withers, D. (1999). Radio spectrum management (2nd ed.). London: The Institution of Electrical Engineers.CrossRef

10.

Feasibility study on licensed-assisted access to unlicensed spectrum, 3GPP, 2015. Retrieved August 15 2018. Available at www.3gpp.org.

11.

New work item on licensed-assisted access to unlicensed spectrum, 3GPP, 2015. Retrieved August 15 2018. Available at www.3gpp.org.

12.

Overview of 3GPP release 13, 3GPP, 2015. Retrieved August 15 2018. Available at http://www.3gpp.org/release-13.

13.

The book of visions 2001—visions of a wireless world. Wireless World Research Forum, December 2001.

14.

Bi, Q., Zysman, G. I., & Menkes, H. (2001). Wireless mobile communications at the start of the 21st century. IEEE Communications Magazine, 39(1), 110–116.CrossRef

15.

Lu, W. W. (2000). Compact multidimensional broadband wireless: The convergence of wireless mobile and access. IEEE Communications Magazine, 38(11), 119–123.CrossRef

16.

Zysman, G. I., et al. (2000). Technology evolution for mobile and personal communications. Bell Labs Technical Journal, 5(1), 107–129.CrossRef

17.

Haardt, M., & Mohr, W. (2000). The complete solution for third generation wireless communications: Two modes on air, one winning strategy. IEEE Personal Communications, 7(6), 18–24.CrossRef

18.

RSPG opinion on licensed shared access, RSPG13-538. Radio Spectrum Policy Group, November 2013.

19.

ECC report 205, licensed shared access (LSA), ECC, February 2014.

20.

Ayeni, A. A., Faruk, N., Surajudeen-Bakinde, N. T., Okanlawon, R. A., & Adediran, Y. A. (2015). Spatial spectrum utilization efficiency metric for spectrum sharing system. International Journal of Digital Information and Wireless Communications, 5(1), 44–51.CrossRef

21.

Leaves, P., Moessner, K., Tafazolli, R., Grandblaise, D., Bourse, D., Tonjes, R., et al. (2004). Dynamic spectrum allocation in composite reconfigurable wireless networks. IEEE Communications Magazine, 42(5), 72–81.CrossRef

22.

Thilakawardana, D., Moessner, K., & Tafazolli, R. (2008). Darwinian approach for dynamic spectrum allocation in next generation systems. IET Communications, 2(6), 827–836.CrossRef

23.

Raman, C., Yates, R. D., & Mandayam, N. B. (2005). Scheduling variable rate links via a spectrum server. In Proceedings of the IEEE DySPAN (pp. 110–118).

24.

Zekavat, S. A., & Li, X. (2005). User-central wireless system: Ultimate dynamic channel allocation. In Proceedings of the IEEE DySPAN (pp. 82–87).

25.

Cao, L., & Zheng, H. (2005). Distributed spectrum allocation via local bargaining. In Proceedings IEEE sensor and Ad Hoc communications and networks (SECON) (pp. 475–486).

26.

Huang, J., Berry, R. A., & Honig, M. L. (2005). Spectrum sharing with distributed interference compensation. In Proceedings of the IEEE DySPAN (pp. 88–93).

27.

Ma, L., Han, X., & Shen, C.-C. (2005). Dynamic open spectrum sharing MAC protocol for wireless ad hoc network. In Proceedings of the IEEE DySPAN (pp. 203–213).

28.

Sankaranarayanan, S., Papadimitratos, P., Mishra, A., & Hershey, S. (2005). A bandwidth sharing approach to improve licensed spectrum utilization. In Proceedings of the IEEE DySPAN (pp. 279–288).

29.

Kibria, M. G., Villardi, G. P., Ishizu, K., Kojima, F., & Yano, H. (2016). Resource allocation in shared spectrum access communications for operators with diverse service requirements. EURASIP Journal on Advances in Signal Processing, 2016, 83.CrossRef

30.

Luo, J., Eichinger, J., Zhao, Z., & Schulz, E. (2014). Multi-carrier waveform based flexible inter-operator spectrum sharing for 5G systems. In 2014 IEEE international symposium on dynamic spectrum access networks (DYSPAN).

31.

Brik, V., Rozner, E., Banerjee, S., & Bahl, P. (2005). DSAP: A protocol for coordinated spectrum access. In Proceedings IEEE DySPAN (pp. 611–614).

32.

Kamakaris, T., Buddhikot, M. M., & Iyer, R. (2005). A case for coordinated dynamic spectrum access in cellular networks. In Proceedings of the IEEE DySPAN 2005.

33.

Buddhikot, M. M., Kolodzy, P., Miller, S., Ryan, K., & Evans, J. (2005). DIMSUMNet: New directions in wireless networking using coordinated dynamic spectrum access. In Sixth IEEE international symposium on a world of wireless mobile and multimedia networks.

34.

Zhou, H., Liu, B., Hou, F., Zhang, N., Gui, L., Chen, J., et al. (2015). Database-assisted dynamic spectrum access with QoS guarantees: A double-phase auction approach. China Communications, 12(1), 66–77.CrossRef

35.

Murty, R., Chandra, R., Moscibroda, T., & Bahl, P. (2011). SenseLess: A database-driven white spaces network. In 2011 IEEE international symposium on dynamic spectrum access networks (DySPAN).

36.

Dai, Y., Wu, J., & Du, X. (2018). Hierarchical and hybrid: Mobility-compatible database-assisted framework for dynamic spectrum access. IEEE Transactions on Network Science and Engineering, 1, 1.CrossRef

37.

Mueck, M. D., Srikanteswara, S., & Badic, B. (2015). Spectrum sharing: Licensed shared access (LSA) and spectrum access systems (SAS). Santa Clara: Intel.

38.

Berezdivin, R., Breinig, R., & Topp, R. (2002). Next-generation wireless communications concepts and technologies. IEEE Communications Magazine, 40(3), 108–116.CrossRef

39.

Peng, C., Zheng, H., & Zhao, B. Y. (2006). Utilization and fairness in spectrum assignment for opportunistic spectrum access. Mobile Networks and Applications, 11(4), 555–576.CrossRef

40.

Akyildiz, I. F., Lee, W.-Y., Vuran, M. C., & Mohanty, S. (2006). NeXt generation/dynamic spectrum access/cognitive radio wireless networks: A survey. Computer Networks, 50(13), 2127–2159.CrossRefMATH

41.

Middleton, G., Hooli, K., Tolli, A., & Lilleberg, J. (2006). Inter-operator spectrum sharing in a broadband cellular network. In 2006 IEEE ninth international symposium on spread spectrum techniques and applications.

42.

Xu, L., Tonjes, R., Paila, T., Hansmann, W., Frank, M., & Albrecht, M. (2000). DRiVE-ing to the internet: Dynamic radio for ip services in vehicular environments. In Proceedings of the 25th annual IEEE conference on local computer networks (pp. 281–289).

43.

Grandblaise, D., Bourse, D., Moessner, K., & Leaves, P. (2002). Dynamic spectrum allocation (DSA) and reconfigurability. In Proceedings of the software-defined radio (SDR) forum.

44.

Jing, X., & Raychaudhuri, D. (2005). Spectrum co-existence of IEEE 802.11b and 802.16a networks using CSCC etiquette protocol. In Proceedings of the IEEE DySPAN 2005 (pp. 243–250).

45.

Zhao, J., Zheng, H., & Yang, G.-H. (2005). Distributed coordination in dynamic spectrum allocation networks. In Proceedings of the IEEE DySPAN 2005.

46.

Seidenberg, P., Lott, M. (1998). Analysis of the inter-system interference with respect to the required minimum frequency separation. In 4th Cost259 meeting.

47.

Ahmad, A., Ahmad, S., Rehmani, M. H., & Hassan, N. U. (2015). A survey on radio resource allocation in cognitive radio sensor networks. IEEE Communications Surveys & Tutorials, 17(2), 888–917.CrossRef

48.

Tsiropoulos, G. I., Dobre, O. A., Ahmed, M. H., & Baddour, K. E. (2014). Radio resource allocation techniques for efficient spectrum access in cognitive radio networks. IEEE Communications Surveys & Tutorials, 18(1), 824–847.CrossRef

49.

Alias, D. M., & Ragesh, G. K. (2016). Cognitive radio networks: A survey. In 2016 International conference on wireless communications, signal processing and networking (WiSPNET) (pp. 1981–1986).

Title: Enabling Generic Wireless Coexistence Through Technology-Agnostic Dynamic Spectrum Access
Authors: Irfan Jabandžić
Spilios Giannoulis
Ingrid Moerman
Publication date: 20-03-2019
Publisher: Springer US
Published in: Wireless Personal Communications / Issue 1/2019
Print ISSN: 0929-6212
Electronic ISSN: 1572-834X
DOI: https://doi.org/10.1007/s11277-019-06266-5

Springer Professional

Abstract

Please log in to get access to your license.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Technik"

Springer Professional "Wirtschaft+Technik"

Springer Professional "Wirtschaft"

Other articles of this Issue 1/2019

Edge-Node-Aware Adaptive Data Processing Framework for Smart Grid

Why Cryptosystems Fail Revisited

Sustainable Framework for Smart Transportation System: A Case Study of Karachi

Security for Smart Grid in 5G and Beyond Networks

Anti-fog System for High Speed Vehicles Using WI-FI

A Telemedicine Platform for Disaster Management and Emergency Care