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Medium Access Control (MAC) Protocol for Resource Allocation in Cognitive radio Networks – A Survey

S.Tamilarasan 1 , P.Kumar 2

  1. Centre for Information Technology and Engineering, Manonmaniam Sundaranar University, Tirunelveli, India.
  2. Centre for Information Technology and Engineering, Manonmaniam Sundaranar University, Tirunelveli, India.

Section:Survey Paper, Product Type: Journal Paper
Volume-6 , Issue-4 , Page no. 226-230, Apr-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i4.226230

Online published on Apr 30, 2018

Copyright © S.Tamilarasan, P.Kumar . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: S.Tamilarasan, P.Kumar, “Medium Access Control (MAC) Protocol for Resource Allocation in Cognitive radio Networks – A Survey,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.4, pp.226-230, 2018.

MLA Style Citation: S.Tamilarasan, P.Kumar "Medium Access Control (MAC) Protocol for Resource Allocation in Cognitive radio Networks – A Survey." International Journal of Computer Sciences and Engineering 6.4 (2018): 226-230.

APA Style Citation: S.Tamilarasan, P.Kumar, (2018). Medium Access Control (MAC) Protocol for Resource Allocation in Cognitive radio Networks – A Survey. International Journal of Computer Sciences and Engineering, 6(4), 226-230.

BibTex Style Citation:
@article{_2018,
author = {S.Tamilarasan, P.Kumar},
title = {Medium Access Control (MAC) Protocol for Resource Allocation in Cognitive radio Networks – A Survey},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {4 2018},
volume = {6},
Issue = {4},
month = {4},
year = {2018},
issn = {2347-2693},
pages = {226-230},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=1874},
doi = {https://doi.org/10.26438/ijcse/v6i4.226230}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i4.226230}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=1874
TI - Medium Access Control (MAC) Protocol for Resource Allocation in Cognitive radio Networks – A Survey
T2 - International Journal of Computer Sciences and Engineering
AU - S.Tamilarasan, P.Kumar
PY - 2018
DA - 2018/04/30
PB - IJCSE, Indore, INDIA
SP - 226-230
IS - 4
VL - 6
SN - 2347-2693
ER -

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Abstract

Cognitive radio network (CRN) is the wide and most popular emerging technology for a smart wireless communication environment rapidly in the recent years. Cognitive radio (CR) is an intelligent technology which provides eminent solution to the problem of spectrum scarcity and to allow the competent distribution of the available radio spectrum without affecting any destructive interference to the primary user (PU) in wireless networks. The utility of the spectrum sensing is to recognizing the offered and organizing through other users for spectrum access, increasing the channel utility, sinking collision rates, and growing detecting overhead are the primary aspects in cognitive radio medium access control protocols. The smart usage of radio spectrum widely depends on precise sensing of spectrum, mobility of spectrum and spectrum decisions. Therefore, the CR technology can considerably provide a smart solution to solve the spectrum scarcity problem by exploiting idle radio spectrum by licensed users. Though, several technical problems still essential to be solved for the suitable functioning of CRNs. The MAC protocols for CRNs should provide a comprehensive description of common control channels (CCC), sensing of spectrum, and harmful interference to PUs, the spectrum availability in distinction rates, the infrastructure support, required time management, and the quantity of radio transceivers. In this paper we studied the distinction MAC technology used for channel allocation and presented the literature survey on MAC protocols with their different usages and also highlight and explore some essential research issues and challenges that might drive further research in this field.

Key-Words / Index Term

CR, MAC, CCC, DSA

References

[1] Dina Tarek Mohamed, Amira M. Kotb, S.H.Ahmed, “A Medium Access Protocol for Cognitive Radio Networks Based on Packet`s Collision and Channels` Usage”, International Journal of Digital Information and Wireless Communications (IJDIWC) 4(3), 2014, pp. 314-332.
[2] Z.Htike, C.S.Hong, S.Lee, Iikwon Cho, “DYN-MAC: A MAC protocol for cognitive radio networks with dynamic controlchannel assignment”, IEICE Trans Commun, Vol. E97-B, No. 8, 2014, pp. 1577-1585.
[3] M.Chodhury, Asaduzzaman, Md.Fazlul Kader, M.O.Rahman, “Design of an Efficient MAC Protocol for Opportunistic Cognitive Radio Network”, IJCSIT, Vol. 4, No. 5, 2012, pp.233-242.
[4] Le Thanh Tan, Long Bao Le, “Distributed MAC Protocol for Cognitive Radio Networks: Design, Analysis, and Optimization”, IEEE Transactions on Vehicular Technology, VOL. 60, NO. 8, 2011, pp. 3990-4003.
[5] S.M.Kamruzzaman, “An Energy Efficient Multichannel MAC Protocol for Cognitive Radio Ad Hoc Networks”, IJCNIS, Vol. 2, No. 2, 2010, pp. 112-119.
[6] Le Thanh Tan, Long Bao Le, “Joint cooperative spectrum sensing and MAC protocol design for multi-channel cognitive radio networks”, EURASIP Journal on Wireless Communications and Networking, 2014, pp. 1-21.
[7] M.M.A.Priton, M.M.Hassan, S.Sarker, Md.A.Razzaque, M.A.Hossain, A.Alelaiwi, “A Multiconstrained QoS Aware MAC Protocol for Cluster-BasebCognitive Radio Sensor Networks”, International Journal of Distributed Sensor Networks, Vol. 2015, pp. 1-13.
[8] S.Debroy, S.De, M.Chatterjee, “Contention Based Multichannel MAC Protocol for Distributed Cognitive Radio Networks” IEEE Transactions On Mobile Computing, VOL. 13, NO. 12, 2014, pp. 2749-2762,
[9] Paulo.M.R.dos Santos, M.A.Kalil, O.Artmenko, A.Lavrenko, A.M.Thiel, “Self-Organized Common Control Channel Design for Cognitive Radio Ad Hoc Networks”, 2013 IEEE 24th International Symposium on Personal, Indoor and Mobile Radio Communications: Mobile and Wireless Networks, 2013, pp. 2419-2423.
[10] Peng Hu, Mohamed Ibnkahla, “A MAC protocol with mobility support in cognitive radio ad hoc networks: Protocol design and analysis”, Ad Hoc Network 17(2014), 2014, pp. 114-128.
[11] M.Zareer, A.K.M.M.Islam, N.Mansoor, S.Baharun, E.M.Mohamed, S.Sampei, “CMCS: a cross-layer mobility-aware MAC protocol for cognitive radio sensor networks”, EURASIP Journal on Wireless Communications and Networking (2016), pp. 1-15.
[12] S.Anamalamudi, Minglu JIN, J.M.Kim, “Interference-Aware Hybrid MAC protocol for Cognitive Radio Ad-Hoc Networks with Directional Antennas”, EAI Endorsed Transactions on Wireless Spectrum, Vol.1, No. 3, 2015, pp. 1-10.
[13] Aohan Li, Guangjie Han, “A fairness-based MAC protocol for 5G Cognitive Radio Ad Hoc Networks”, Journal of Network and Computer Applications, 111(2018), pp. 28-34.
[14] Md Akbar Hossain, Nurul I Sarkar, “A distributed multichannel MAC protocol for rendezvous establishment in cognitive radio ad hoc networks”, AdHocNetworks70(2018), pp. 44–60
[15] Irfan Latif Khan, Riaz Hussain, Adeel Iqbal, Atif Shakeel, Shakeel Alvi, Waseem Abbas, adeer ul Hasan, Shahzad A. Malik, “Design and Evaluation of Self Organizing, Collision Free MAC Protocol for Distributed Cognitive Radio Networks”, 2017.
[16] Claudia Cormio, Kaushik R. Chowdhury, “A survey on MAC protocols for cognitive radio networks”, Ad Hoc Networks 7 (2009), pp. 1315–1329.
[17] Ajmery Sultana, Xavier Fernando, Lian Zhao, “An overview of medium access control strategies for opportunistic spectrum access in cognitive radio networks”, Peer-to-Peer Netw. Appl. 2016,
[18] S.Tamilarasan, P.Kumar, “A Survey on Dynamic Resource Allocation in Cognitive Radio Networks”, International Journal of Computer Sciences and Engineering, Vol.-4(7), 2016, pp. 86-93.
[19] Bang Chul Jung, Woongsup Lee, “Performance analysis of opportunistic CSMA schemes in cognitive radio networks”, Wireless Netw, springer publication, 2016,
[20] Zong-Heng Wei, Bin-jie Hu, “A Fair Multi-channel Assignment Algorithm with Practical Implementation in Distributed Cognitive Radio Networks”, IEEE ACCESS, 2018, pp. 1-13.
[21] S. Senthilmurugan, T. G. Venkatesh, “Analysis of Quiet Period Scheduling in QP-CSMA-CA Cognitive Radio MAC Protocol”, Wireless Pers Commun (2017) 92, pp. 1625–1637.
[22] Juncheng Jia, Qian Zhang, Xuemin, “HC-MAC: A Hardware-Constrained Cognitive MAC for Efficient Spectrum Management”, IEEE Journal on Selected Areas in Communications, VOL. 26, NO. 1, January 2008, pp. 106-117.
[23] S. M. KAMRUZZAMAN, Md. Abdul HAMID, M. Abdullah-Al-WADUD, “An Energy-Efficient MAC Protocol for QoS Provisioning in Cognitive Radio Ad Hoc Networks”, Radio engineering, VOL. 19, NO. 4, December 2010, pp. 567-578.
[24] Long Le, Ekram Hossain, “OSA-MAC: A MAC Protocol for Opportunistic Spectrum Access in Cognitive Radio Networks”, Proc. IEEE WCNC, 2008, pp. 1426–30.
[25] Yi Song, Jiang Xie, “ProSpect: a proactive spectrum handoff framework for cognitive radio ad hoc networks without common control channel”, IEEE Transactions on Mobile Computing, VOL. 11, NO. 7, pp. 1127-1139, July 2012
[26] Y. Zhao, M. Song, C. Xin, “FMAC: A fair MAC protocol for coexisting cognitive radio networks,” in Proceedings of IEEE INFOCOM, 2013, pp.1474–1482.
[27] Mohamed A. Kalil, Andre Puschmann, Andreas Mitschele-Thiel, “Switch: A multichannel mac protocol for cognitive radio ad hoc network”, in Proceedings of IEEE 76th vehicular technology conference (VTC2012-Fall), Qubec City, Canada, 2012.