Abstract
Facing the challenges on how to improve spectrum efficiency and how to realize heterogeneous network convergence in future wireless networks, a cognitive radio network (CRN) is proposed as one of the solutions. This has become a major research topic in recent years and it is timely to give an overview of the development of CRN and to summarize key issues and technologies. The fundamental concepts of CRN, including the cognitive cycle model, the network architecture, and the cognitive ability and intelligent decision functions, are introduced in detail based on recent advances. Key issues for each topic, followed with recent research on theory and method, are then classified and the industrialization developments of CRN testbeds based on TD-LTE cellular system and standards are briefly presented. Finally, conclusions are reached on the perspectives and directions of future development.
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References
Akhtman J, Hanzo L. Heterogeneous networking: An enabling paradigm for ubiquitous wireless communications. Proc IEEE, 2010, 98: 135–138
Federal Communications Commission. Spectrum policy task force. Technical Report, ET Docket No. 2002
Staple G, Werbach K. The end of spectrum scarcity. IEEE Spectrum, 2004, 41: 48–52
Ryan W T, Daniel H F, Luiz A D, et al. Cognitive networks: Adaptation and learning to achieve end-to-end performance objectives. IEEE Commun Mag, 2007, 44: 51–58
Mitola J. Cognitive radio: Making software radios more personal. IEEE Pers Commun, 1999, 6: 13–18
Mitola J. Cognitive radio-Model-based competence for software radios. The Dissation for the Master Degree. Stockholm: Kungl Tekniska Hogskolan Royal Institute of Technology, 1999
Demestichas P, Dimitrakopoulos G, Strassner J, et al. Introducing reconfigurability and cognitive networks concepts in the wireless world. IEEE Veh Technol Mag, 2006, 1: 32–39
Gary J M, Joseph B E, Leon S S, et al. Cognitive radios for dynamic spectrum access—an agile radio for wireless innovation. IEEE Commun Mag, 2007, 45: 113–122
Haykin S. Cognitive dynamic systems. Proc IEEE, 2006, 94: 1910–1911
Kang G S, Hyoil K, Alexander W M, et al. Cognitive radios for dynamic spectrum access: From concept to reality. IEEE Wirel Commun, 2010, 17: 64–75
Haykin S. Cognitive radio: Brain-empowered wireless communications. IEEE J Sel Areas Commun, 2005, 23: 201–220
Allen B M, Jeffrey H R, Peter A, et al. Cognitive radio and networking research at virginia tech. Proc IEEE, 2009, 97: 660–689
Mitola J. Software Radio Architecture. New York: Wiley, 2000
Akyildiz I F, Lee W Y, Vuran M C, et al. A survey on spectrum management in cognitive radio networks. IEEE Commun Mag, 2008, 46: 40–49
Xin C S, Cao X J. A Cognitive Radio Network Architecture without Control Channel. In: Proceedings of Global Telecommunications Conference, 2009. Hawaii, Washington DC: IEEE, 2009. 1–6
Tachwali Y, Basma F, Refai H H. Cognitive radio architecture for rapidly deployable heterogeneous wireless networks. IEEE Trans Consum Electron, 2010, 56: 1426–1432
Sutton P D, Lotze J, Lahlou H, et al. Iris: An architecture for cognitive radio networking testbeds. IEEE Commun Mag, 2010, 48: 114–122
Hu Z, Sun L, Tian H. A framework of access network architecture for 4G systems based on cognitive radio. In: Proceedings of Wireless Communications, Networking and Mobile Computing, 2009, Beijing. 24–26
Zhao Q, Sadler B M. A survey of dynamic spectrum access. IEEE Signal Process Mag, 2007, 24: 79–89
Feng Z Y, Li W, Li Q, et al. Dynamic spectrum management for WCDMA/DVB heterogeneous systems. IEEE Trans Wirel Commun, 2011, 10: 1582–1593
Le V B, Feng Z Y, Bourse D, et al. A cell based dynamic spectrum management scheme with interference mitigation for cognitive networks. Wireless Pers Commun, 2009, 49: 275–293
Joseph M, Attar A, Zhang H H O, et al. Achievements and the road ahead: The first decade of cognitive radio. IEEE Trans Veh Technol, 2010, 59: 1574–1578
Wang B B, Liu K J R. Advances in cognitive radio networks: A survey. IEEE J Sel Top Sign Proces, 2011, 5: 5–24
Haykin S, Thomson D J, Reed J H. Spectrum sensing for cognitive radio. Proce IEEE, 2008, 97: 849–877
Kolodzy P. Next generation communications: Kickoff meeting. In: Proceedings of DARPA, 2001
Yucek T, Arslan H. A survey of spectrum sensing algorithms for cognitive radio applications. IEEE Commun Surv Tutor, 2009: 116–130
Establishement of interference temperature metric to quantify and manage interference and to expand available unlicensed operation in certain fixed mobile and satellite frequency bands, FCC, 2003, FCC Doc. ET Docket: 03-289
Yucek T, Arslan H. Spectrum characterization for opportunistic cognitive radio systems. In: Proceedings of Military Communication Conference, 2006, Washington DC: IEEE, 2006. 1–6
Quan Z, Shellhammer S J, Zhang W, et al. Spectrum sensing by cognitive radios at very low SNR. In: Proceedings of Global Communications Conference, 2009, Beijing, Washington DC: IEEE, 2009. 1–6
Tang H. Some physical layer issues of wide-band cognitive radio systems. In: Proceedings of International Symposium on New Frontiers in Dynamic Spectrum Access Networks, 2005, Baltimore, Maryland, Washington DC: IEEE, 2005. 151–159
Weidling F, Datla D, Petty V, et al. A framework for RF spectrum measurements and analysis. In: Proceedings of International Symposium on New Frontiers in Dynamic Spectrum Access Networks, 2005, Baltimore, Maryland, Washington DC: IEEE, 2005. 573–576
Lehtomaki L, Vartiainen J, Juntti M, et al. Spectrum sensing with forward methods. In: Proceedings of Military Communications Conference, 2006, Washington DC: IEEE, 2006. 1–7
Gardner U W. Exploitation of spectral redundancy in cyclostationary signals. IEEE Signal Process Mag, 1991, 8: 14–36
Muraoka K, Ariyoshi M, Fujii T. A novel spectrum-sensing method based on maximum cyclic autocorrelation selection for cognitive radio system. In: Proceedings of 3rd Symposium on New Frontiers in Dynamic Spectrum Access Networks, 2008, Dublin, Washington DC: IEEE, 2008. 1–7
Du K L, Wai H M. Affordable cyclo-stationarity-based spectrum sensing for cognitive radio with smart antennas. IEEE Trans Veh Technol, 2010, 59: 1877–1887
Proakis J G. Digital Communications. 4th ed. New York: McGraw-Hill, 2001
Tandra R, Sahai A. Fundamental limits on detection in low SNR under noise uncertainty. In: Proceedings of International Conference on Wireless Networks, Communication and Mobile Computing, 2005, Maui, HI, Washington DC: IEEE, 2005. 464–469
Tandra R, Sahai A. SNR walls for signal detection. IEEE J Sel Top Sign Proces, 2008, 2: 4–17
Cabric D, Mishra S, Brodersen R. Implementation issues in spectrum sensing for cognitive radios. In: Proceedings of Asilomar Conference on Signals, System, Computation, 2004, Washington DC: IEEE, 2004. 772–776
Cabric D, Tkachenko A, Brodersen R. Spectrum sensing measurements of pilot, energy, and collaborative detection. In: Proceedings of Military Communications Conference, 2006, Washington DC: IEEE, 2006. 1–7
Wang Z L, Feng Z Y, Zhang P. An iterative hungarian algorithm based coordinated spectrum sensing strategy. IEEE Commun Lett, 2011, 15: 49–51
Hu W, Willkomm D, Abusubaih M, et al. Dynamic frequency hopping communities for efficient IEEE 802.22 operation. IEEE Commun Mag, 2007, 45: 80–87
Hillenbrand J, Weiss T, Jondral F. Calculation of detection and false alarm probabilities in spectrum pooling systems. IEEE Commun Lett, 2005, 9: 349–351
Liang Y C, Zeng Y H, Peh E, et al. Sensing-throughput tradeoff for cognitive radio networks. IEEE Trans Wireless Commun, 2008, 7: 1326–1337
Meng J, Yin W T, Li H S, et al. Collaborative spectrum sensing from sparse observation in cognitive radio networks. IEEE J Sel Areas Commun, 2011, 29: 327–337
Duan D L, Yang L Q, Principe J C. Cooperative diversity of spectrum sensing for cognitive radio systems. IEEE Trans Signal Process, 2010, 58: 3218–3227
Li H S, Zhu H. Catch me if you can: An abnormality detection approach for collaborative spectrum sensing in cognitive radio networks. IEEE Trans Wireless Commun, 2010, 9: 3554–3565
Federal Communications Commission. Memorandum Opinion and Order on Reconstruction of the Seventh Report and Order and Eighth Report. 2008, 3, Rep. 08-72
Gurney D, Buchwald G, Ecklund L, et al. Geo-location database techniques for incumbent protection in the TV white space. In: Proceedings of 3rd Symposium on New Frontiers in Dynamic Spectrum Access Networks, 2008, Chicago, Washington DC: IEEE, 2008. 1–9
ITU-R Document 5A/377-E. Cognitive radio systems in the land mobile service multi-dimension cognitive database for cognitive radio system. 2009, 11
Xu Y, Feng Z Y, Zhang P. Research on Cognitive Wireless Networks: Theory, Key Technologies and Testbed. In: Proceedings of 6th International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications, 2011, Osaka, Washington DC: IEEE, 2011. 291–295
Cordier P, Houze P, Jema S B, et al. E2R Cognitive Pilot Channel concept. In: Proceedings of 15th IST Mobile and Wireless Communications Summit, 2006, Mykonos Island, 2006. 1–4
Sallent O, Perez R J, Agusti R, et al. Cognitive pilot channel enabling spectrum awareness. In: Proceedings of IEEE International Confer ence on Communications Workshops, 2009, Dresden, Washington DC: IEEE, 2009. 1–6
Zhang Q X, Feng Z Y, Zhang G Y, et al. Efficient mesh division and differential information coding schemes in broadcast cognitive pilot channel. Wireless Pers Commun, 2012, 63: 363–392
Feng Z Y, Zhang Q X, Tian F, et al. Novel research on cognitive pilot channel in cognitive wireless network. Wireless Pers Commun, 2012, 62: 455–478
Dong X Y, Wang J J, Zhang Y, et al. End-to-end QoS provisioning in future cognitive heterogeneous networks. In: Proceedings of IEEE International Conference on Communications Technology and Applications, 2009, Beijing, Washington DC: IEEE, 2009. 425–429
Zhao Q, Tong L, Swami A, et al. Decentralized cognitive MAC for opportunistic spectrum access in ad hoc networks: A POMDP framework. IEEE J Sel Areas Commun, 2007, 25: 589–600
Chen Y, Zhao Y, Swami A. Distributed spectrum sensing and access in cognitive radio networks with energy constraint. IEEE Trans Signal Process, 2009, 57: 783–797
Srivastava V, Neel J A, MacKenzie A B, et al. Using game theory to analyze wireless ad hoc networks. IEEE Commun Surv Tutor, 2005, 7: 46–56
Zhang T, Yu X Y. Spectrum sharing in cognitive radio using game theory-A survey. In: Proceedings of 2010 6th International Conference on Wireless Communications Networking and Mobile Computing, Chengdu, 2010. 1–5
Li J, Chen D, Li W, et al. Multiuser power and channel allocation algorithm in cognitive radio. In: Proceedings of International Conference on Parallel Processing, Xi’an. 2007. 1–6
Huang J W, Berry R A, Honig M L. Auction-based spectrum sharing. Springer Mobile Netw Appl, 2006, 11: 405–418
Clancy C, Hecker J, Stuntebeck E, et al. Applications of machine learning to cognitive radio networks. IEEE Wirel Commun, 2007, 14: 47–52
3rd Generation Partnership Project. Technical Specification Group Services and Systems Aspects; TS 23.251 v6.6.0, Network Sharing; Architecture and functional description (Release 6). 2006, 3
Kulkarni R, Zekavat S A. Traffic aware inter-vendor dynamic spectrum allocation: Performance in multi-vendor environment. In: Proceedings of International Communications Conference on Mobile Computation, Vancouver: 2006. 1–5
Salami G, Durowoju O, Attar A H, et al. A comparison between the centralized and distributed approaches for spectrum management. IEEE Commun Surv Tutor, 2011, 13: 274–291
Feng H, Shu Y. Study on network traffic prediction techniques. In: Proceedings of International Conference on Wireless Communication. Networks. Wuhan: 2005, 23–26
Pereirasamy M K. Dynamic inter-operator spectrum sharing for UMTS FDD with displaced cellular networks. In: Proceedings of Wireless Communications and Networking Conference, 2005, New Orleans, Washington DC: IEEE, 2005. 1720–1725
Le V, Lin Y, Wang X, et al. A cell based dynamic spectrum management scheme with interference mitigation for cognitive networks. In: Proceedings of Vehicular Technology Conference, 2008, Singapore, Washington DC: IEEE, 2008. 1594–1598
Cao L, Zheng H. Distributed spectrum allocation via local bargaining. In: Proceedings of Sensor and Ad Hoc Communications and Networks, 2005, California, Washington DC: IEEE, 2005. 475–486
Zhu J, Liu K L R. Dynamic spectrum sharing: A game theoretical overview. IEEE Commun Mag, 2007, 45: 88–94
Musku M R, Cotae P. Cognitive radio: Time domain spectrum allocation using game theory. In: Proceedings of International Conference on System of Systems Engineering, 2007, San Antonio, TX, Washington DC: IEEE, 2007. 1–6
Asterjadhi A, Baldo N, Zorzi M. A distributed network coded control channel for multihop cognitive radio networks. IEEE Network, 2009, 23: 26–32
Long B L, Hossain E. Resource allocation for spectrum underlay in cognitive radio networks. IEEE Trans Wireless Commun, 2008, 7: 5306–5315
Zheng H, Peng C. Collaborative and fairness in opportunistic spectrum access. In: Proceedings of International Conference on Communications, 2005, Seoul, Washington DC: IEEE, 2005. 3132–3136
Xing Y, Mathur C N, Haleem M A, et al. Dynamic spectrum access with QoS and interference temperature constraints. IEEE Trans Mobile Computation, 2007, 6: 423–433
Liang Y C, Zeng Y, Peh E C Y, et al. Sensing-throughput tradeoff for cognitive radio networks. IEEE Trans Wireless Commun, 2008, 7: 1326–1337
Huang S, Liu X, Ding Z. Optimal transmission strategies for dynamic spectrum access in cognitive radio networks. IEEE Trans Mobile Computing, 2009, 8: 1636–1648
Zhang Y. Spectrum handoff in cognitive radio networks: Opportunistic and negotiated situations. In: Proceedings of International Conference on Communications, 2009, Dresden, Washington DC: IEEE, 2009. 1–6
Wang L C, Anderson C. On the performance of spectrum handoff for link maintenance in cognitive radio. In: Proceedings of International Symposium on Wireless Pervasive Computing, 2008, Santorini, Washington DC: IEEE. 670–674
Xiao Y, Hu F. Cognitive Radio Network. London: Taylor & Francis Group, 2009
Jia C C, Zhang Q. Hardware-constrained multi-channel cognitive MAC. In: Proceedings of Global Telecommunications Conference, 2007, Washington DC: IEEE, 2007. 4653–4658
Ghaboosi K, Latva-aho M, Xiao Y. A distributed multi-channel cognitive MAC protocol for IEEE 802.11s wireless mesh networks. In: Proceedings of International Conference on Cognitive Radio Oriented Wireless Networks and Communications, 2008, Singapore, Washington DC: IEEE, 2008. 1–8
Gu S, Xu P C, Wang X B, et al. A real time testbed for the evaluation of cognitive radio MAC. In: Proceedings of 2010 Global Telecommunications Conference, 2010, Florida, Washington DC: IEEE, 2010. 1–5
Chen Y, Yu G, Zhang Z, et al. On cognitive radio networks with opportunistic power control strategies in fading channels. IEEE Trans Wireless Commun, 2008, 7: 2752–2761
Xu D, Feng Z Y, Zhang P. Protecting primary users in cognitive radio networks with effective capacity loss constraint. IEICE Trans Commun, 2012, 95: 349–353
Xu D, Feng Z Y, Li Y Z, et al. Optimal power control of cognitive radio under SINR constraint with primary user’s cooperation. IEICE Trans Commun, 2011, 94: 2685–2689
Wang Q, Zheng H. Route and spectrum selection in dynamic spectrum networks. In: Proceedings of IEEE Consumer Communication Networks Conference, 2006, Las Vegas, Washington DC: IEEE, 2006. 625–629
Xia B, Wahab M H, Yang Y, et al. Reinforcement learning based spectrum-aware routing in multi-hop cognitive radio networks. In: Proceedings of International Conference on Cognitive Radio Oriented Wireless Networks and Communication, 2009, Hannover, 1–5
Suyang J, Evans J B. Mobility-aware routing protocol for mobile Ad-Hoc networks. In: Proceedings of IEEE International Conference on Communications Workshops, 2009, Dresden, Washington DC: IEEE, 2009. 1–6
Bhandari V, Vaidya N H. Connectivity and capacity of multi-channel wireless networks with channel switching constraints. In: Proceedings of IEEE International Conference on Computer Communications, 2007, Anchorage, Washington DC: IEEE, 2007. 785–793
Pandharipande A, Keong H C. Spectrum pool reassignment for a cognitive OFDM-based relay system. In: Proceedings of International Conference on Cognitive Radio Oriented Wireless Networks and Communications, Orlando, 2008. 90–94
Yang H, Ting S H, Pandharipande A. Cooperative spectrum sharing with distributed secondary user selection. In: Proceedings of International Conference on Communications, 2009, Dresden, Washington DC: IEEE, 2009. 1–5
Zhang Q X, Feng Z Y, Zhang P. Joint cooperative relay scheme for spectrum-efficient usage and capacity improvement in cognitive radio networks. EURASIP J Wirel Commun Netw, 2012, 37: 1–9
Song C Y, Shiba H, Shimamoto S. A cognitive relay approach for multi-hop wireless ad hoc communication. In: Proceedings of International Conference on Communications and Networking in China, Hangzhou, 2008. 1230–1234
Jia J, Zhang J, Zhang Q. Cooperative relay for cognitive radio networks. In: Proceedings of International Conference on Computer Communications, Rio de Janeiro, 2009. 2304–2312
Xiao Y, Bi G A, Niyato D. Game theoretic analysis for spectrum sharing with multi-hop relaying. IEEE Trans Wireless Commun, 2011, 10: 1527–1537
Mishra S, Cabric D, Chang C, et al. A real time cognitive radio testbed for physical and link layer experiments. In: Proceedings of International Symposium on New Frontiers in Dynamic Spectrum Access Netw, 2005, Baltimore, Washington DC: IEEE, 2005. 562–567
Rieser C, Rondeau T, Bostian C, et al. Cognitive radio testbed: Further details and testing of a distributed genetic algorithm based cognitive engine for programmable radios. In: Proceedings of Military Communication Conference, 2005, Atlantic, Washington DC: IEEE, 2005. 1437–1443
Jongmin P, Kim K W, Song T, et al. A cross-layer cognitive radio testbed for the evaluation of spectrum sensing receiver and interference analysis. In: Proceedings of International Conference on Cognitive Radio Oriented Wireless Networks and Communications, Singapore, 2008. 1–6
Jia J C, Zhang Q. A testbed development framework for cognitive radio networks. In: Proceedings of International Conference on Communications, Dresden, Washington DC: IEEE, 2009. 1–5
Cordeiro C, Challapali K, Birru D, et al. IEEE 802.22: The first worldwide wireless standard based on cognitive radios. In: Proceedings of International Symposium on New Frontiers in Dynamic Spectrum Access Netw, Baltimore, Washington DC: IEEE, 2005. 328–337
Poston J, Horne W. Discontiguous OFDM considerations for dynamic spectrum access in idle TV channels. In: Proceedings of International Symposium on New Frontiers in Dynamic Spectrum Access Netw, 2005, Baltimore, Washington DC: IEEE, 2005. 607–610
ITU-R 5A/383-E. Proposed modifications to the working document towards a preliminary draft new report: Cognitive Radio Systems in the Land Mobile Service. In: 4th Meeting of Working Party 5A, Geneva, 2009 Nov. 23–Dec.2
ITU-R 5D/647-E. Proposal on the workplan and draft working document on the CRS specitic for IMT systems: Cognitive Radio Systems Specific for IMT Systems. In: 7th Meeting of Working Party 5D, Turin, 2010 Feb. 17–24
Muck M, Buljore S, Martigne P, et al. IEEE P1900. B: Coexistence support for reconfigurable, heterogeneous air interfaces. In: Proceedings of International Symposium on New Frontiers in Dynamic Spectrum Access Networks, 2007, Dublin, Washington DC: IEEE, 2007. 381–389
Filin S, Harada H, Murakami H, et al. IEEE draft standards P1900.4.1 and P1900.4a for heterogeneous type and spectrum sharing type cognitive radio systems. In: Proceedings of International Symposium on Personal, Indoor and Mobile Radio Communications, Istanbul, Washington DC: IEEE, 2010. 1–6
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Zhang, P., Liu, Y., Feng, Z. et al. Intelligent and efficient development of wireless networks: A review of cognitive radio networks. Chin. Sci. Bull. 57, 3662–3676 (2012). https://doi.org/10.1007/s11434-012-5334-5
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DOI: https://doi.org/10.1007/s11434-012-5334-5