Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
A Survey on Location Recommendation Systems Read chapter Read first chapter

2017 | OriginalPaper | Chapter

Emerging Technologies, Applications and Futuristic Scope of Cognitive Vehicular Network for 5G Wireless Systems

Authors : Zain Hashim, Nishu Gupta

Published in: Advances in Computing and Data Sciences

Publisher: Springer Singapore

Log in

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

search-config
loading …

Abstract

Research and study on fifth generation (5G) wireless communication systems is growing at a massive rate and has the potential to provide enhanced quality-of-experience (QoE), high spectral availability, less power utilization and less end-to-end latency to the wireless system designers. New wireless applications demand high data rates and mobility thereby urging for a deep excavation on 5G wireless systems. This article presents a heterogeneous network system based framework for 5G wireless systems. It proposes a potential cellular architecture that discusses various emerging and promising schemes for 5G wireless network such as cognitive radio oriented network, massive multiple-input multiple-output (MIMO), effective and energy-efficient communication systems, and visible light communication. The focus of the proposed prototype is on making the most effective use of quality of service (QoS), energy efficiency and spectral efficiency in heterogeneous wireless network and is expected to facilitate the interpretation of critical technical challenges towards spectrum efficient 5G wireless network.

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

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
previous chapter Dynamic Two Level Threshold Estimation for Zero Motion Prejudgment: A Step Towards Fast Motion Estimation
next chapter Intuitionistic Fuzzy PROMETHEE Technique for Multi-criteria Decision Making Problems Based on Entropy Measure
Literature
1.
Bangerter, B., Talwar, S., Arefi, R., Stewart, K.: Network and devices for the 5G era. In: IEEE Communications Magazine: 5G Wireless Communication Systems: Prospects and Challenges (2014)
2.
Rusek, F., Persson, D., Lau, B.K., Larsson, E.G., Marzetta, T.L., Edfors, O., Tufvesson, F.: Scaling up MIMO: opportunities and challenges with very large arrays. IEEE Signal Process. Mag. 30(1), 40–60 (2013)CrossRef
3.
Wang, C.X., Haider, F., Gao, X., You, X.H., Yang, Y., Yuan, D., Aggoune, H.M., Haas, H., Fletcher, S., Hepsaydir, E.: Massive MIMO channel measurements and modeling: advances and challenges. In: IEEE Communications Magazine: 5G Wireless Communication Systems: Prospects and Challenges (2014)
4.
Wang, B., Liu, K.J.R.: Advances in cognitive radio network: a survey. IEEE J. Sel. Top. Sign. Process. 5(1), 5–23 (2011)CrossRef
5.
Marinho, J., Monteiro, E.: Cognitive radio: survey on communication protocols, spectrum decision issues, and future research directions. Wirel. Netw. J. 18(2), 147–164 (2011)CrossRef
6.
Kumar, S., Sahay, J., Mishra, G.K., Kumar, S.: Cognitive radio concept and challenges in dynamic spectrum access for the future generation wireless communication systems. Wirel. Pers. Commun. 59(3), 525–535 (2011)CrossRef
7.
Harada, H., Alemseged, Y., Filin, S., Riegel, M., Gundlach, M., Holland, O., Bochow, B., Ariyoshi, M., Grande, L.: IEEE dynamic spectrum access network standards committee. IEEE Commun. Mag. 51(3), 104–111 (2013)CrossRef
8.
Akyildiz, I.F., Lee, W.-Y., Vuran, M.C., Mohanty, S.: Next generation/dynamic spectrum access/cognitive radio wireless network: a survey. Comput. Netw. 50(13), 2127–2159 (2006)CrossRefMATH
9.
Gonzalez, C.R.A., Dietrich, C.B., Sayed, S., Volos, H.I., Gaeddert, J.D., Robert, P.M., Reed, J.H., Kragh, F.E.: Open-source SCA-based core framework and rapid development tools enable software-defined radio education and research. IEEE Commun. Mag. 47(10), 48–55 (2009)CrossRef
10.
Kumar, K., Prakash, A., Tripathi, R.: Spectrum handoff in cognitive radio networks: a classification and comprehensive survey. J. Netw. Comput. Appl. 61, 161–188 (2016)CrossRef
11.
Lopez-Benitez, M., Gozalvez, J.: Common radio resource management algorithms for multimedia heterogeneous wireless network. IEEE Trans. Mob. Comput. 10(9), 1201–1213 (2011)CrossRef
12.
Liu, Y., Hoshyar, R., Yang, X., Tafazolli, R.: Integrated radio resource allocation for multihop cellular network with fixed relay stations. IEEE J. Sel. Areas Commun. 24(11), 2137–2146 (2011)CrossRef
13.
Leem, H., Baek, S.Y., Sung, D.K.: The effects of cell size on energy saving, system capacity, and per-energy capacity. In: IEEE Wireless Communications and Networking Conference (WCNC) (2010)
14.
Li, Q., Apostolos, H.N., Papathanassiou, Wu, G.: 5G network capacity, key elements and technologies. In: IEEE Vehicular Technology Magazine. Digital Object Identifier 10.​1109/​MVT.​2013.​2295070 (2014)
15.
Hu, R.Q., Qian, Y.: An energy efficient and spectrum efficient wireless heterogeneous network framework for 5G systems. In: IEEE Communications Magazine: 5G Wireless Communications Systems: Prospects and Challenges (2014)
16.
Nakao, H., Tsukamoto, K., Tsuru, M., Oie, Y.: A database driven data channel selection scheme for V2V communication over TV white space. In: 7th International Conference on New Technologies, Mobility and Security (NTMS), pp. 1–5. IEEE (2015)
17.
Chen, J., Liu, B., Zhou, H., Wu, Y., Gui, L.: When vehicles meet TV white space: a QoS guaranteed dynamic spectrum access approach for VANET. In: International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB), pp. 1–6. IEEE (2014)
18.
Gupta, N., Prakash, A., Tripathi, R.: Clustering based cognitive MAC protocol for channel allocation to prioritize safety message dissemination in vehicular ad-hoc network. Veh. Commun. 5, 44–54 (2016)CrossRef
19.
Bozkaya, E., Canberk, B.: Robust and continuous connectivity maintenance for vehicular dynamic spectrum access networks. Ad Hoc Netw. 25, 72–83 (2015)CrossRef
20.
Baraka, K., Safatly, L., Artail, H., Ghandour, A.J., El-Hajj, A.: An infrastructure-aided cooperative spectrum sensing scheme for vehicular ad hoc networks. Ad Hoc Netw. 25, 197–212 (2015)CrossRef
21.
Atallah, R.F., Khabbaz, M.J., Assi, C.M.: Vehicular networking: A survey on spectrum access technologies and persisting challenges. Veh. Commun. 2(3), 125–149 (2015)CrossRef
22.
Gupta, N., Prakash, A., Tripathi, R.: Medium access control protocols for safety applications in Vehicular Ad-Hoc Network: a classification and comprehensive survey. Veh. Commun. 2(4), 223–237 (2015)CrossRef
23.
Campolo, C., Molinaro, A., Scopigno, R.: From today’s VANETs to tomorrow’s planning and the bets for the day after. Veh. Commun. 2(3), 158–171 (2015)CrossRef
24.
Lee, W.Y., Akyildiz, I.F.: Spectrum-aware mobility management in cognitive radio cellular networks. IEEE Trans. Mob. Comput. 11(4), 529–542 (2012)CrossRef
25.
Ghandour, A.J., Fawaz, K., Artail, H., Di Felice, M., Bononi, L.: Improving vehicular safety message delivery through the implementation of a cognitive vehicular network. Ad Hoc Netw. 11(8), 2408–2422 (2013)CrossRef
26.
Cesana, M., Cuomo, F., Ekici, E.: Routing in cognitive radio networks: challenges and solutions. Ad Hoc Netw. 9(3), 228–248 (2011)CrossRef
27.
Wang, B., Li, B., Liu, M.: A novel precoding method for joint processing in CoMP. In: International Conference on Network Computing and Information Security (ICNCIS) (2011)
Metadata
Title
Emerging Technologies, Applications and Futuristic Scope of Cognitive Vehicular Network for 5G Wireless Systems
Authors
Zain Hashim
Nishu Gupta
Copyright Year
2017
Publisher
Springer Singapore
Book
Advances in Computing and Data Sciences

Print ISBN: 978-981-10-5426-6

Electronic ISBN: 978-981-10-5427-3

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-981-10-5427-3_30

Premium Partner

    Image Credits