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A Study on Multi-agent Systems in Cognitive Radio

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First International Conference on Artificial Intelligence and Cognitive Computing

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 815))

Abstract

Cognitive radio (CR) is getting huge attention with its spectrum optimising ability and demand of inherent cognitive abilities at wireless nodes in 5G communication (comn). It can utilise the unused part of spectrum, which facilitates sharing of spectrum amongst Primary User (PU) and Secondary User (SU). Users sense the radio environment and take appropriate actions, making multi-agent system (MAS) as natural choice for CR. This paper presents state-of-the-art survey on use of MAS in CR research and proposals.

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References

  1. Wikipedia, https://en.wikipedia.org/wiki/Cognitive_radio/

  2. Mitola, J.: Software radios: Survey, critical evaluation and future directions. In: IEEE Aerospace and Electronic Systems Magazine, vol. 8, No. 4, pp. 25–36. (1993)

    Article  Google Scholar 

  3. Cisco visual NW index: forecast & methodology, In: Cisco White Paper, pp. 1–14 (2012)

    Google Scholar 

  4. Mitola, J., Maguire, G.: CR: Making software radios more personal. In: IEEE Personal Communications vol. 6, No. 4, pp. 13–18. (1999)

    Article  Google Scholar 

  5. Mitola, J.: CR: an integrated agent architecture for software defined radio. In: Dissertation for Doctor of Technology, Teleinformatics, KTH, Stockholm (2000)

    Google Scholar 

  6. Mitola, J.: CR Architecture: The Engg Foundations of Radio XML Link. In: Wiley (2006)

    Google Scholar 

  7. NPRM (Notice of Proposed Rule Making), FCC (2000)

    Google Scholar 

  8. Haykin, S.: CR: Brain-empowered wireless comns. In: IEEE Selected Areas Communication, vol. 23, No. 2, pp. 201–220. (2005)

    Google Scholar 

  9. Wang, L., Xu, W., He, Z., Lin J.: Algorithms for optimal resource allocation in heterogeneous CRNs. In: 2nd IEEE International Conference on Power Electronics and Intelligent Transportation System. Globecom, pp. 1–5, Shenzen (2009)

    Google Scholar 

  10. Abbas, N., Nasser, Y., Ahmad, K.: Recent advances on artificial intelligence and learning techniques in CRNs. In: EURASIP J., pp 1–20. (2015)

    Google Scholar 

  11. Xing, Y., Chandramouli, R.: Human behavior inspired CRN design. In: IEEE Comns, pp. 122–127. (2008)

    Google Scholar 

  12. Clancy, C., Hecker, J., Stuntebeck, E., OShea, T.: Applications of machine learning to CRNs. In: IEEE Wireless Comns, vol. 14, No. 4, pp. 47–52. (2004)

    Google Scholar 

  13. Li, Y., Wang, X., Guizani, M.: Resource pricing with primary service guarantees in CRNs: A Stackelberg game approach. In: IEEE GLOBECOM, Honolulu (2009)

    Google Scholar 

  14. Xing, Y., Chandramouli, R., Mangold, S.: DSA in open spectrum wireless networks, IEEE J. on Selected Areas on Comns vol. 24, No. 3, pp. 626–637. (2006)

    Google Scholar 

  15. Usama, M.: Utilization of Coop MASs for Spectrum Sharing in CRNs. In: Theses (2011)

    Google Scholar 

  16. Usama, M., Boulahia, L., Gaïti, D.: A Cooperative Multiagent Based Spectrum Sharing. In: IEEE Sixth Advanced International Conference on Telecomns, pp. 1—7. Barcelona (2010)

    Google Scholar 

  17. Akyildiz, I., Lee, W., Chowdhury, K.: CRAHNs: CR Ad Hoc Networks. In: Elevier J. Ad Hoc Networks, pp. 810–836. http://www.omidi.iut.ac.ir (2009)

  18. Oh, D., Lee, Y.: Energy Detection Based SS for Sensing Error Minimization in CRNs. In: International J. of Comn Networks and Information Security, pp. 1–5. (2009)

    Google Scholar 

  19. Yaqin, Z., Shuying, L., Nan, Z., Zhilu, W.: A Novel Energy Detection Algorithm for SS in CR. In: Information Technology J., vol. 9, pp. 1659–1664. (2010)

    Google Scholar 

  20. Ghasemi, A., Sousa, E.: Collaborative SS for opportunistic access in fading environment. In: IEEE Symposia on New Frontiers in DSA Networks, pp. 131–136. Baltimore (2005)

    Google Scholar 

  21. Sahin, M., Guvenc, I., Arslan, H.: Uplink user signal separation for OFDMA-based CRs. In: EURASIP, J. on Wireless Comns and Networking. (2010)

    Google Scholar 

  22. Bouzegzi, A., Ciblat, P., Jallon, P.: Matched Filter Based Algorithm for Blind Recognition of OFDM Systems. In: IEEE VTC-Fall, pp. 1–5. Calgary, Canada (2008)

    Google Scholar 

  23. Kapoor, S., Rao, S., Singh, G.: Opportunisitic SS by Employing Matched Filter in CRN. In: IEEE International Conference on Comn Sys & NW Tech, pp. 580–583. Katra (2011)

    Google Scholar 

  24. Wang, B., Wu, Y., Liu, K.: Game theory for CRNs: An overview. In: Elsevier J. Computer Networking, pp. 2537–2561. https://www.elsevier.com (2010)

  25. Rajasekharan, J., Eriksson J., Koivunen, V.: Coop game-theoretic modeling for SS in CRs. In: IEEE Conf Rec of 44th Asilomar Conf on Sigs, Sys & Comps, pp. 165–169. CA (2010)

    Google Scholar 

  26. Saad, W., Zhu, H., Basar T., Debbah, M., Hjorungnes, A.: Coalition Formation Games for Collaborative SS. In: IEEE Transaction on Vehicular Technology, pp. 276–297. (2011)

    Google Scholar 

  27. Rajasekharan, J., Eriksson, J., Koivunen, V.: Cooperative Game-Theoretic Approach to Spectrum Sharing in CRs. In: Computer Science and Game Theory. (2011)

    Google Scholar 

  28. Liang, M., Qi, Z.: An Improved Game-theoretic Spectrum Sharing in CR Systems. In: 3rd International Conf on Comns and Mobile Computing, pp. 270–273. Qingdao (2011)

    Google Scholar 

  29. Domenico, A.D., Strinati, E.C., Benedetto, M.G.D.: A Survey on MAC Strategies for CRNs. In: IEEE Communications Surveys & Tutorials, vol. 14, No 1, pp. 21–44. (2012)

    Article  Google Scholar 

  30. Zhang, X., Hang, S.: CREAM-MAC: CR-EnAbled Multi-Ch MAC Protocol Over DSA NWs, IEEE J. of Selected Topics in Signal Processing, pp. 110–123. (2011)

    Google Scholar 

  31. Wang, C.W., Wang, L.C..: Analysis of Reactive Spectrum Handoff in CRNs. In: IEEE J. on Selected Areas in Communication, vol. 30, No 10, pp. 2016–2028. (2012)

    Google Scholar 

  32. Wang, C.W., Wang, L.C., Adachi, F.: Modeling and Analysis for Reactive-decision Spectrum Handoff in CRNs. In: IEEE Globecom, pp. 1–6. (2010)

    Google Scholar 

  33. Wang, C.W., Wang, L.C.: Modeling and Analysis for Proactive-decision Spectrum Handoff in CRNs. In: IEEE International Conference on Comn (ICC), pp. 1–6. Dresden (2009)

    Google Scholar 

  34. Y. Song and J. Xie. Common Hopping based Proactive Spectrum Handoff in CR Ad Hoc Networks. In: IEEE Global Telecom. Conf. GLOBECOM, pp. 1–5. Miami (2010)

    Google Scholar 

  35. Duan J., Li. Y.: An optimal Spectrum Handoff scheme for CR mobile Adhoc Networks. In: Advances in Electrical and Computer Engineering J., vol. 11, No. 3, pp. 11–16. (2011)

    Article  Google Scholar 

  36. Wang, L., Cao, L., Zheng, H.: Proactive ch access in dynamic spectrum networks. In: Elsevier J. of Physical Communication, pp. 103–111. (2008)

    Google Scholar 

  37. Song, Y., Xie, J.: ProSpect: A Proactive Spectrum Handoff Framework for CR Adhoc Networks without Common Cont Ch. In: IEEE trans on mob Comp, pp. 1127–1139. (2012)

    Google Scholar 

  38. Trigui, E., Esseghir, M., Boulahia, L.M.: On Using MASs In CRNs: A Survey. In: International J. of Wireless & Mobile Networks (IJWMN), vol. 4, No 6, pp. 1–16. (2012)

    Google Scholar 

  39. Liu, H., MacKenzie, A.B, Krishnamachari, B.: Bargaining to Improve Ch Sharing between Selfish CRs. In: IEEE GLOBECOM - Global Telecom. Conf., pp. 1–7. Honolulu (2009)

    Google Scholar 

  40. Cao, L., Zheng, H.: Distributed spectrum allocation via local bargaining. In: IEEE Comns Society Conference on Sensor and Ad Hoc Comns and Networks, pp. 475–486. (2005)

    Google Scholar 

  41. Rao, V.S., Prasad, R.V., Yadati, C., Niemegeers, I.G.M.: Distributed heuristics for allocating spectrum in CR adhoc networks. In: IEEE GLOBECOM, pp. 1–6. Miami (2010)

    Google Scholar 

  42. Wooldridge, M.: An Introduction to MASs. In: Wiley & Sons. West Sussex (2002)

    Google Scholar 

  43. Ferber J.: MAS: An Introduction to Distributed AI. In: Addison Wesley Longman. (1999)

    Google Scholar 

  44. Weiss G.: A modern approach to distributed AI. In: MIT press, USA (2000)

    Google Scholar 

  45. Yau K.L.A., Komisarczuk P., Teal P.D.: Achieving Context Awareness & Intelligence in Distributed CRNs: A Payoff Propagation Approach. In: IEEE Workshops of International Conf. on Advanced Information Networking and Applications, pp. 210–215. Bipolis (2011)

    Google Scholar 

  46. Huhns, M.N.: Multi Agent Systems. In: Tutorial at the EASSS (1999)

    Google Scholar 

  47. Espinasse, B., Fournier, S., Freitas, F.: Agent and ontology based info gathering on restricted web domains with AGATHE. In: ACM symposium on Applied Computing. pp. 2381—2386. Fortaleza (2008)

    Google Scholar 

  48. Ahmed, M., Kolar, V., Petrova, M., Mahonen, P., Hailes, S.: A component-based architecture for CR RM. In: IEEE CRWNCOM, pp. 1–6. Hannover (2009)

    Google Scholar 

  49. Jurado, F, Redondo, M.A., Ortega, M.: Blackboard architecture to integrate components and agents in heterogeneous distributed eLearning systems: An application for learning to program. In J. of Systems and Software, vol. 85, No. 7, pp. 1621–1636. (2012)

    Article  Google Scholar 

  50. Mir, U., Aknine, S., Boulahia, L.M., Gaïti, D.: Agents’ Coordination in Ad-hoc Networks. In: 8th ACS/IEEE conference AICCSA, pp. 1–8. Hammamet (2010)

    Google Scholar 

  51. Gruszczyk, W., Kwasnicka, H.: Coalition Formation in MASs-an evolutionary approach. In: IEEE International Multiconf. on CS and IT (IMCSIT), pp. 125–130. Wisia (2008)

    Google Scholar 

  52. Amraoui, A., Benmammar, B. Krief, F., Bendimerad, F.T.: Auction-based Agent Negotiation in CR Ad Hoc Networks. In: Fourth ADHOCNETS, Paris (2012)

    Google Scholar 

  53. Cassady, R.: Auctions & Auctioneering. In: Univ of California Press, California, (1967)

    Google Scholar 

  54. Adomavicius, G., Gupta, A.: Toward comprehensive real-time bidder support in iterative combinational auctions. In: Info. Systems Research, vol. 16, No. 2, pp. 169–185(2005)

    Article  Google Scholar 

  55. Rahwan, I., Ramchurn, S.D., Jennings, J.R.: Argumentation-based negotiation. In: The Knowledge Engineering Review, Cambridge Univ. Press, pp. 343–375. Cambridge (2003)

    Google Scholar 

  56. Amanna, A., Ali, D., Fitch, D.G., Reed, J.H.: Hybrid Experiential-Heuristic CR Engine Architecture and Implementation. In: J. of Computer NW and Comns, pp. 1–15 (2012)

    Google Scholar 

  57. Hu, D., Mao, S.: Cooperative relay interference alignment for video over Cognitive Radio Networks. In: IEEE INFOCOM, pp. 2014–2022. Orlando, (2012)

    Google Scholar 

  58. Xie, J., Howitt, I., Raja, A.: CR RM using MASs, In: CCNC, pp. 1123–1127. (2007)

    Google Scholar 

  59. Pan, M., Fang, Y.: Bargaining based pairwise cooperative SS for CRNs. In: IEEE Military Communications Conference MILCOM, pp. 1–7. San Diego(2008)

    Google Scholar 

  60. Chang, H.B., Chen, K.C..: Auction-based spectrum management of CRNs. In: IEEE Transactions on Vehicular Technology, vol. 59, No. 4, pp. 1923–1935. (2010)

    Article  Google Scholar 

  61. Kloeck, C., Jaekel, H., Jondral, F. K.: Multi agent wireless System for Dynamic and Local Combined Pricing, allocation and Billing. In: J. of comn, vol.1, No. 1, pp. 48–59. (2006)

    Google Scholar 

  62. Niyato, D., Hossain, E.: Competitive pricing for spectrum sharing in CRNs: Dynamic game, inefficiency of Nash equilibrium and collusion. In: IEEE J. on Selected Areas in Communications, vol. 26, No.1, pp. 192–202. (2008)

    Google Scholar 

  63. Teng, Y., Zhang, Y., Dai, C., Yang, F., Song, M.: Dynamic spectrum sharing through double auction mechanism in CRN. In: IEEE Wireless Communications and Networking Conference (WCNC), pp. 90–95. Cancun (2011)

    Google Scholar 

  64. Mohammadian, H., Abolhassan, B.: Auction-based Spectrum Sharing for Multiple Primary and Secondary Users in CRNs, IEEE Sarnoff Symposium, pp. 1–6. Princeton (2010)

    Google Scholar 

  65. Kasbekar, G.S., Sarkar, S.: Spectrum auction framework for access allocation in CRNs, IEEE/ACM Transactions on Networking, vol. 18, No. 6, pp. 1841–1854. (2010)

    Article  Google Scholar 

  66. Wang, X., Li, Z., Xu, P., Xu, Y., Gao, X., Chen, H.: Spectrum sharing in CRNs- An Auction based Approach. In: IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) - Special issue on game theory, vol. 40, No. 3, pp. 587–596. (2010)

    Google Scholar 

  67. Qian, L., Ye, F., Gao, L., Gan, X., Chu, T., Tian, X., Wang, X., Guizani, M.: Spectrum Trading in CRNs: An Agent-Based Model under Demand Uncertainty. In: IEEE Transactions on Comns, vol. 59, No. 11, pp. 3192–3203. (2011)

    Google Scholar 

  68. Yau, K.L.A., Komisarczuk, P., Paul, D.T.: Enhancing Network Performance in Distributed CRNs using Single Agent and Multi Agent Reinforcement Learning. In: IEEE Local Computer Networks (LCN), pp. 152–159, Denver (2010)

    Google Scholar 

  69. Usama, M., Boulahia, L.M., Gaïti, D.: Multiagent Based Spectrum Sharing Using Petri Nets. In: Springer, Trends in Prac. Appls of Agents and MASs, pp. 537–546. Berlin (2010)

    Google Scholar 

  70. Jia, J., Zhang, O, Zhang, Q., Liu, M.: Revenue generation for truthful spectrum auction in Dynamic Spectrum Access. In: Proceedings of the tenth ACM international symposium on Mobile ad-hoc networking and computing. ACM, pp. 3–12. New Orleans (2009)

    Google Scholar 

  71. Wu, C., Chowdhury, K., Felice, M.D., Meleis, W.: Spectrum management of CR using Multi Agent Reinforcement Learning. In: Proceedings of the 9th International Conference on Autonomous Agents and MASs, pp. 1705—1712. Toronto (2010)

    Google Scholar 

  72. Lunden, J., Koivunen, V., Kulkarni, S.R., Poor, H.V.: Reinforcement Learning based distributed multiagent sensing policy for CRNs. In: IEEE International Symposium on Dynamic Spectrum Access Network (DySPAN), pp. 642–646. Aachen (2011)

    Google Scholar 

  73. Chen, Z., Qiu, R.C.: Cooperative SS using Q-learning with experimental validation. In: IEEE Southeastcon, pp. 405–408. (2011)

    Google Scholar 

  74. Fu F., Schaar, M..: Dynamic Spectrum Sharing Using Learning for Delay-Sensitive Applications. In: IEEE International Conference on Comns, pp. 2825–2829. Beijing (2008)

    Google Scholar 

  75. Venkatraman, P., Hamdaoui, B., Guizani, M.: Opportunistic BW sharing through RL. In: IEEE Transactions on Vehicular Technology, vol. 59, No. 6, pp. 3148–3153. (2010)

    Article  Google Scholar 

  76. Li, H.: Multiagent Q-Learning for Aloha-Like Spectrum Access in CR Systems. In: EURASIP, J. on Wireless Comns and Networking. Springer, Heidelberg (2010)

    Google Scholar 

  77. Li, H.: Multi-agent Q-learning of ch Selection in multi-user CR Systems: A two by two case. In: IEEE International Conference on System, Management & Cybernetics, pp. 1893–1898. San Antonio (2009)

    Google Scholar 

  78. Chen, B., Hoang, A.T., Liang, Y.C.: CR Ch Allocation Using Auction Mechanisms. In: Vehicular Technology Conference (VTC Spring), pp. 1564–1568. Singapore (2008)

    Google Scholar 

  79. Gafar, M., Elnourani, A.: Cognitive Radio and Game Theory: Overview and Simulation. In: Thesis work, Blekinge Institute of Technology, Karlskrona (2008)

    Google Scholar 

  80. Hossain, E., Niyato, D., Han, Z.: DSA & management in CRNs. In: Cambridge University Press, Cambridge (2009)

    Google Scholar 

  81. Serrano, A.G., Giupponi, L.: Distributed Q-learning for aggregated interference control in CR networks. In: IEEE Transactions on Vehicular Technology, pp. 1823–1834. (2010)

    Google Scholar 

  82. Amraoui, A., Benidriss, F.Z, Benmammar, B., Krief, F., Bendimerad, F.T.: Toward Cognitive Radio Resource Management Based on Multi-Agent Systems for Improvement of Real-Time Application Performance. In: Proceedings of the 5th International Conference on New Technologies, Mobility and Security (NTMS), pp 1–4. Istanbul (2012)

    Google Scholar 

  83. Bkassiny, M., Li, Y., Jayaweera, S.K.: A survey on machine-learning techniques in CRs. In: IEEE Communications Surveys & Tutorials, vol. 15, No. 3, pp. 1136–1159, (2013)

    Article  Google Scholar 

  84. Mir, U., Merghem-Boulahia, L., Gaïti, D.: COMAS: A Cooperative Multiagent Architecture for Spectrum Sharing. In: Springer, EURASIP, J. on Wireless Communications and Networking, 15 pages. www.springer.com (2010)

  85. Mir, U., Merghem-Boulahia, L., Esseghir, M., Gaïti, D.: “A Continuous Time Markov Model for Unlicensed Spectrum Access. In: IEEE 7th International Conference on Wireless and Mobile Computing, Networking and Communications, pp. 68–73. Wuhan (2011)

    Google Scholar 

  86. Zhao, Q., Qin, S., Wu, Z.: Self-Organize Network Architecture for Multi-Agent CR Systems. In: International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, pp. 515–518, Beijing (2011)

    Google Scholar 

  87. Mir, U., Merghem-Boulahia, L., Gaïti, D.: Dynamic Spectrum Sharing in CRNs: a Solution based on MASs. In: International J. on Advances in Telecom, pp. 203–214 (2010)

    Google Scholar 

  88. Mir, U., Merghem-Boulahia, L., Esseghir, M., Gaïti, D.: Dynamic spectrum sharing for CRNs using multiagent system. In: Proceedings of IEEE Consumer Communications and Networking Conference, pp. 658–663. Las Vegas (2011)

    Google Scholar 

  89. A. Ahmed, O. Sohaib, W. Hussain: An Agent Based Architecture for Cognitive Spectrum Management. In: Australian J. of Basic and Applied Sciences, pp. 682–689. (2011)

    Google Scholar 

  90. Tan, Y., Sengupta, S., Subbalakshmi, K.P.,: Competitive spectrum trading in DSA markets: A price war. In: Proceedings of IEEE Global Telecommunications Conference GLOBECOM, pp. 1–5. Miami (2010)

    Google Scholar 

  91. Reddy, Y.B., Bullmaster, C.: Cross-Layer Design in Wireless Cognitive Networks. In: Ninth International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT), pp. 462–467. Otago (2008)

    Google Scholar 

  92. Raiyn, J.: Toward Cognitive Radio handover management based on social agent technology for spectrum efficiency performance improvement of cellular systems. In: IEEE 19th International Symposium on Personal, Indoor and Mobile Radio Communications PIMRC, pp. 1–5. (2008)

    Google Scholar 

  93. Trigui, E., Esseghir, M., Merghem-Boulahia, L.: Spectrum Access during Cognitive Radio Mobiles’ Handoff. In: 7th International Conference on Wireless and Mobile Communications (ICWMC), pp. 221–224. Luxembourg (2011)

    Google Scholar 

  94. Trigui, E., Esseghir, M., Merghem-Boulahia, L.: MAS based auction for channel selection in mobile cognitive radio networks. In: J. of ACSIJ, vol. 4, No.6. www.acsij.org (2015)

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Authors and Affiliations

  1. The University of Burdwan, Burdwan, West Bengal, India

    Sandeep Sharma & Sunil Karforma

  2. The Academy of Technology, Kolkata, West Bengal, India

    Sripati Mukhopadhyay

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  1. Sandeep Sharma
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  2. Sunil Karforma
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  3. Sripati Mukhopadhyay
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Correspondence to Sandeep Sharma .

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Editors and Affiliations

  1. School of Computer and Information Sciences, University of Hyderabad, Hyderabad, Telangana, India

    Raju Surampudi Bapi

  2. Department Computer Science and Engineering, MLR Institute of Technology, Hyderabad, Telangana, India

    Koppula Srinivas Rao

  3. IDRBT, Hyderabad, Telangana, India

    Munaga V. N. K. Prasad

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Sharma, S., Karforma, S., Mukhopadhyay, S. (2019). A Study on Multi-agent Systems in Cognitive Radio. In: Bapi, R., Rao, K., Prasad, M. (eds) First International Conference on Artificial Intelligence and Cognitive Computing . Advances in Intelligent Systems and Computing, vol 815. Springer, Singapore. https://doi.org/10.1007/978-981-13-1580-0_50

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