Primary radio user activity models for cognitive radio networks: A survey

Abstract Cognitive Radio Networks have been emerged as a promising solution for solving the problem of spectrum scarcity and improving spectrum utilization by opportunistic use of spectrum. Cognitive radio networks utilize the spectrum which is licensed to primary radio users when they are not utilizing it, i.e., when the spectrum is idle. Thus, the performance of cognitive radio networks is highly dependent upon the activity of primary radio users. Hence, it is very important to model primary radio users activity in cognitive radio networks. By keeping this in mind, several models in the literature have been proposed for modeling primary radio users activity. But there is not any source which consolidate all these models into single platform. Therefore, this paper combines all the primary radio user activity models for cognitive radio networks at a single place. The goal of this paper is to provide a single source in the form of survey paper by which a reader can get an idea about which primary radio user activity models have been used in the literature for cognitive radio networks and how the modeling is performed. Furthermore, we also discuss issues, challenges and future directions for primary radio activity models. In fact, in this paper, different primary radio user activity models have been presented along with their classification. This paper also discusses those approaches which performed real implementation for spectrum occupancy along with spectrum bands on which the implementation is performed and location where implementation is carried out. In summary, this paper provides up-to-date survey of primary radio user activity models for cognitive radio networks.

[1]  Matteo Cesana,et al.  On Spectrum Selection Games in Cognitive Radio Networks , 2009, GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference.

[2]  Brian M. Sadler,et al.  COGNITIVE RADIOS FOR DYNAMIC SPECTRUM ACCESS - Dynamic Spectrum Access in the Time Domain: Modeling and Exploiting White Space , 2007, IEEE Communications Magazine.

[3]  Miguel López-Benítez,et al.  Evaluation of Spectrum Occupancy in Spain for Cognitive Radio Applications , 2009, VTC Spring 2009 - IEEE 69th Vehicular Technology Conference.

[4]  Felipe Forero,et al.  Metropolitan Spectrum Survey in Bogota Colombia , 2013, 2013 27th International Conference on Advanced Information Networking and Applications Workshops.

[5]  Janne J. Lehtomäki,et al.  On the Measurement of Duty Cycle and Channel Occupancy Rate , 2013, IEEE Journal on Selected Areas in Communications.

[6]  Frank Y. Li,et al.  Capacity Upper Bound of Channel Assembling in Cognitive Radio Networks With Quasistationary Primary User Activities , 2013, IEEE Transactions on Vehicular Technology.

[7]  Yusun Chang,et al.  Capacity and Delay Scaling in Cognitive Radio Ad Hoc Networks: Impact of Primary User Activity , 2010, 2010 IEEE Global Telecommunications Conference GLOBECOM 2010.

[8]  Zhi Ding,et al.  Short Paper: On Optimal Sensing and Transmission Strategies for Dynamic Spectrum Access , 2008, 2008 3rd IEEE Symposium on New Frontiers in Dynamic Spectrum Access Networks.

[9]  Biing-Hwang Juang,et al.  Fundamentals of speech recognition , 1993, Prentice Hall signal processing series.

[10]  Tiejun Lv,et al.  Primary User Activity Based Channel Allocation in Cognitive Radio Networks , 2010, 2010 IEEE 72nd Vehicular Technology Conference - Fall.

[11]  Hao Nan,et al.  Distributed Coordinated Spectrum Sharing MAC Protocol for Cognitive Radio , 2007, 2007 2nd IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks.

[12]  M. Grivet,et al.  Spectrum occupancy modeling on the 450 MHz band for cognitive radio application , 2013, 2013 7th European Conference on Antennas and Propagation (EuCAP).

[13]  Ananthram Swami,et al.  Decentralized cognitive MAC for opportunistic spectrum access in ad hoc networks: A POMDP framework , 2007, IEEE Journal on Selected Areas in Communications.

[14]  Eytan Modiano,et al.  Optimal Transmission Scheduling in Symmetric Communication Models With Intermittent Connectivity , 2007, IEEE Transactions on Information Theory.

[15]  Daesik Hong,et al.  Stochastic Multichannel Sensing for Cognitive Radio Systems: Optimal Channel Selection for Sensing with Interference Constraints , 2009, 2009 IEEE 70th Vehicular Technology Conference Fall.

[16]  Ian F. Akyildiz,et al.  Primary User Activity Modeling Using First-Difference Filter Clustering and Correlation in Cognitive Radio Networks , 2011, IEEE/ACM Transactions on Networking.

[17]  Xianming Qing,et al.  Spectrum Survey in Singapore: Occupancy Measurements and Analyses , 2008, 2008 3rd International Conference on Cognitive Radio Oriented Wireless Networks and Communications (CrownCom 2008).

[18]  Mihaela van der Schaar,et al.  Queuing-Based Dynamic Channel Selection for Heterogeneous Multimedia Applications Over Cognitive Radio Networks , 2008, IEEE Transactions on Multimedia.

[19]  Jad Nasreddine,et al.  Impact of primary user activity patterns on spatial spectrum reuse opportunities , 2010, 2010 European Wireless Conference (EW).

[20]  Luiz A. DaSilva,et al.  Complexity of Spectrum Activity and Benefits of Reinforcement Learning for Dynamic Channel Selection , 2013, IEEE Journal on Selected Areas in Communications.

[21]  Changqing Xu,et al.  Resource Allocation for OFDMA-Based Cognitive Radio Systems with Primary User Activity Consideration , 2011, 2011 IEEE International Conference on Communications (ICC).

[22]  M. Biggs,et al.  Occupancy analysis of the 2.4 GHz ISM band , 2004 .

[23]  Suzan Bayhan,et al.  A Markovian approach for best-fit channel selection in cognitive radio networks , 2014, Ad Hoc Networks.

[24]  Balasubramaniam Natarajan,et al.  Modeling and Forecasting Secondary User Activity in Cognitive Radio Networks , 2008, 2008 Proceedings of 17th International Conference on Computer Communications and Networks.

[25]  Vijay K. Bhargava,et al.  Power Allocation for Cognitive Radios Based on Primary User Activity in an OFDM System , 2008, IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference.

[26]  Laszlo Csurgai-Horvath,et al.  Primary and secondary user activity models for cognitive wireless network , 2011, Proceedings of the 11th International Conference on Telecommunications.

[27]  Ha H. Nguyen,et al.  Resource Allocation for OFDMA-Based Cognitive Radio Multicast Networks With Primary User Activity Consideration , 2010, IEEE Transactions on Vehicular Technology.

[28]  Santiago Zazo,et al.  HF spectrum activity prediction model based on HMM for cognitive radio applications , 2012, Phys. Commun..

[29]  Danijela Cabric,et al.  When Channel Bonding is Beneficial for Opportunistic Spectrum Access Networks , 2012, IEEE Transactions on Wireless Communications.

[30]  Tho Le-Ngoc,et al.  Learning-Based Opportunistic Spectrum Access with Adaptive Hopping Transmission Strategy , 2012, IEEE Transactions on Wireless Communications.

[31]  Adam Wolisz,et al.  Primary user behavior in cellular networks and implications for dynamic spectrum access , 2009, IEEE Communications Magazine.

[32]  Serge Fdida,et al.  SURF: A distributed channel selection strategy for data dissemination in multi-hop cognitive radio networks , 2013, Comput. Commun..

[33]  Kang G. Shin,et al.  Efficient Discovery of Spectrum Opportunities with MAC-Layer Sensing in Cognitive Radio Networks , 2008, IEEE Transactions on Mobile Computing.

[34]  Ian F. Akyildiz,et al.  CRAHNs: Cognitive radio ad hoc networks , 2009, Ad Hoc Networks.

[35]  Serge Fdida,et al.  Activity pattern impact of primary radio nodes on channel selection strategies , 2011, CogART '11.

[36]  Ashutosh Sabharwal,et al.  Paranoid Secondary: Waterfilling in a Cognitive Interference Channel with Partial Knowledge , 2012, IEEE Transactions on Wireless Communications.

[37]  Kang G. Shin,et al.  Exploiting Multi-Channel Diversity in Spectrum-Agile Networks , 2008, IEEE INFOCOM 2008 - The 27th Conference on Computer Communications.

[38]  R. Rajbanshi,et al.  Parametric Adaptive Spectrum Sensing Framework for Dynamic Spectrum Access Networks , 2007, 2007 2nd IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks.

[39]  Kang G. Shin,et al.  Hierarchical Market Competition in a Duopoly Super Wi-Fi Spectrum Market , 2013, IEEE Journal on Selected Areas in Communications.

[40]  Brian M. Sadler,et al.  Dynamic spectrum access in WLAN channels: empirical model and its stochastic analysis , 2006, TAPAS '06.

[41]  Yiyang Pei,et al.  Sensing-Throughput Tradeoff in Cognitive Radio Networks: How Frequently Should Spectrum Sensing be Carried Out? , 2007, 2007 IEEE 18th International Symposium on Personal, Indoor and Mobile Radio Communications.

[42]  Sheldon M. Ross,et al.  Introduction to Probability Models, Eighth Edition , 1972 .

[43]  Balasubramaniam Natarajan,et al.  Modeling and Forecasting Secondary User Activity Considering Bulk Arrival and Bulk Departure Traffic Model , 2009, 2009 IEEE 70th Vehicular Technology Conference Fall.

[44]  Friedrich Jondral,et al.  Spectrum pooling: an innovative strategy for the enhancement of spectrum efficiency , 2004, IEEE Communications Magazine.

[45]  Shahrokh Valaee,et al.  Dynamic Parameter Adaptation for M-LWDF/M-LWWF Scheduling , 2012, IEEE Transactions on Wireless Communications.

[46]  T. Yucek,et al.  Spectrum Characterization for Opportunistic Cognitive Radio Systems , 2006, MILCOM 2006 - 2006 IEEE Military Communications conference.

[47]  Dennis Roberson,et al.  Spectrum Occupancy Estimation in Wireless Channels with Asymmetric Transmitter Powers , 2007, 2007 2nd International Conference on Cognitive Radio Oriented Wireless Networks and Communications.

[48]  Joseph Mitola,et al.  Most Active Band (MAB) Attack and Countermeasures in a Cognitive Radio Network , 2012, IEEE Transactions on Wireless Communications.

[49]  Wha Sook Jeon,et al.  Energy-Efficient Channel Management Scheme for Cognitive Radio Sensor Networks , 2011, IEEE Transactions on Vehicular Technology.

[50]  Janne Riihijarvi,et al.  Modelling Primary System Activity in Dynamic Spectrum Access Networks by Aggregated ON/OFF-Processes , 2009, 2009 6th IEEE Annual Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks Workshops.

[51]  Zhe Yang,et al.  On Spectrum Sharing and Dynamic Spectrum Allocation: MAC Layer Spectrum Sensing in Cognitive Radio Networks , 2010, 2010 International Conference on Communications and Mobile Computing.

[52]  Zheng Wang,et al.  On discretizing the exponential on-off primary radio activities in simulations , 2011, 2011 IEEE 22nd International Symposium on Personal, Indoor and Mobile Radio Communications.

[53]  A. L. C. Pintor,et al.  Spectrum survey of VHF and UHF bands in the Philippines , 2012, TENCON 2012 IEEE Region 10 Conference.

[54]  Ramjee Prasad,et al.  A Survey of Worldwide Spectrum Occupancy Measurement Campaigns for Cognitive Radio , 2011, 2011 International Conference on Devices and Communications (ICDeCom).

[55]  Bozidar Vujicic Modeling and characterization of traffic in a public safety wireless networks , 2006 .

[56]  Walid Saad,et al.  A Cooperative Bayesian Nonparametric Framework for Primary User Activity Monitoring in Cognitive Radio Networks , 2012, IEEE Journal on Selected Areas in Communications.

[57]  Fumiyuki Adachi,et al.  Load-Balancing Spectrum Decision for Cognitive Radio Networks , 2011, IEEE Journal on Selected Areas in Communications.

[58]  Suzan Bayhan,et al.  Distributed channel selection in CRAHNs: A non-selfish scheme for mitigating spectrum fragmentation , 2012, Ad Hoc Networks.

[59]  Umberto Spagnolini,et al.  Packet-wise vertical handover for unlicensed multi-standard spectrum access with cognitive radios , 2008, IEEE Transactions on Wireless Communications.

[60]  Chin-Liang Wang,et al.  Power Allocation for OFDM-Based Cognitive Radio Systems under Primary User Activity , 2010, 2010 IEEE 71st Vehicular Technology Conference.

[61]  Costas N. Georghiades,et al.  Throughput Analysis of a Randomized Sensing Scheme in Cell-Based Ad-Hoc Cognitive Networks , 2009, 2009 IEEE International Conference on Communications.

[62]  A. Wolisz,et al.  Primary Users in Cellular Networks: A Large-Scale Measurement Study , 2008, 2008 3rd IEEE Symposium on New Frontiers in Dynamic Spectrum Access Networks.

[63]  SwamiAnanthram,et al.  Decentralized cognitive MAC for opportunistic spectrum access in ad hoc networks , 2007 .

[64]  TongLang,et al.  COGNITIVE RADIOS FOR DYNAMIC SPECTRUM ACCESS - Dynamic Spectrum Access in the Time Domain , 2007 .

[65]  Yuguang Fang,et al.  Stochastic Channel Selection in Cognitive Radio Networks , 2007, IEEE GLOBECOM 2007 - IEEE Global Telecommunications Conference.

[66]  Yang Li,et al.  Spectrum Usage Prediction Based on High-order Markov Model for Cognitive Radio Networks , 2010, 2010 10th IEEE International Conference on Computer and Information Technology.

[67]  Lang Tong,et al.  A Characterization of Delay Performance of Cognitive Medium Access , 2012, IEEE Transactions on Wireless Communications.

[68]  John N. Tsitsiklis,et al.  Introduction to Probability , 2002 .

[69]  E. Ahmed,et al.  Spectrum-aware dynamic channel assignment in cognitive radio networks , 2012, 2012 International Conference on Emerging Technologies.

[70]  A. Adas,et al.  Traffic models in broadband networks , 1997, IEEE Commun. Mag..

[71]  Dongmei Zhao,et al.  Quality of Service Performance of a Cognitive Radio Sensor Network , 2010, 2010 IEEE International Conference on Communications.

[72]  Yuan Qi,et al.  Adaptive Channel Searching Scheme for Cooperative Spectrum Sensing in Cognitive Radio Networks , 2009, 2009 IEEE Wireless Communications and Networking Conference.

[73]  Moshe T. Masonta,et al.  Spectrum Decision in Cognitive Radio Networks: A Survey , 2013, IEEE Communications Surveys & Tutorials.

[74]  Sonia Aïssa,et al.  Performance Modeling of a Two-Tier Primary-Secondary Network Operated with IEEE 802.11 DCF Mechanism , 2012, IEEE Transactions on Wireless Communications.

[75]  Petri Mähönen,et al.  Evaluation of Spectrum Occupancy in Indoor and Outdoor Scenario in the Context of Cognitive Radio , 2007, 2007 2nd International Conference on Cognitive Radio Oriented Wireless Networks and Communications.

[76]  Luc Vandendorpe,et al.  Constrained resource allocation for OFDMA cognitive radio networks with primary users activity consideration , 2012, 2012 International Symposium on Wireless Communication Systems (ISWCS).

[77]  Petri Mähönen,et al.  Lessons Learned from an Extensive Spectrum Occupancy Measurement Campaign and a Stochastic Duty Cycle Model , 2009, 2009 5th International Conference on Testbeds and Research Infrastructures for the Development of Networks & Communities and Workshops.

[78]  Husheng Li,et al.  A Graphical Framework for Spectrum Modeling and Decision Making in Cognitive Radio Networks , 2010, 2010 IEEE Global Telecommunications Conference GLOBECOM 2010.

[79]  Lei Yang,et al.  Proactive channel access in dynamic spectrum networks , 2008, Phys. Commun..

[80]  Yong Huat Chew,et al.  Study of non-Markovian distributed primary radio activities on the opportunity time for secondary usage of spectrum , 2009, MILCOM 2009 - 2009 IEEE Military Communications Conference.

[81]  Qihui Wu,et al.  Interference-throughput tradeoff in dynamic spectrum access: Analysis based on discrete-time queuing subjected to bursty preemption , 2009, 2009 4th International Conference on Cognitive Radio Oriented Wireless Networks and Communications.

[82]  Anthony T. Chronopoulos,et al.  Spectrum Load Balancing for Medium Access in Cognitive Radio Systems , 2008, IEEE Communications Letters.

[83]  Li Xiao,et al.  Wireless Spectrum Occupancy Prediction Based on Partial Periodic Pattern Mining , 2014, 2012 IEEE 20th International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems.

[84]  Dhananjay Kumar,et al.  Spectrum opportunity in UHF — ISM band of 902–928 MHz for cognitive radio , 2011, 2011 Third International Conference on Advanced Computing.

[85]  Min Yi,et al.  Strategy of Dynamic Spectrum Access Based-on Spectrum Pool , 2008, 2008 4th International Conference on Wireless Communications, Networking and Mobile Computing.

[86]  Janne Riihijarvi,et al.  Evaluation of Adaptive MAC-Layer Sensing in Realistic Spectrum Occupancy Scenarios , 2010, 2010 IEEE Symposium on New Frontiers in Dynamic Spectrum (DySPAN).

[87]  Umberto Spagnolini,et al.  Cognitive Radio with Secondary Packet-By-Packet Vertical Handover , 2008, 2008 IEEE International Conference on Communications.

[88]  Sana Salous,et al.  Spectrum Occupancy Statistics and Time Series Models for Cognitive Radio , 2011, J. Signal Process. Syst..

[89]  Halim Yanikomeroglu,et al.  Impact of the Primary Network Activity on the Maximum Achievable Capacity of DS-CDMA/OFDM Spectrum Sharing , 2008, 2008 IEEE 68th Vehicular Technology Conference.