Spectrum Sensing Using Markovian Models
暂无分享,去创建一个
Brian L. Mark | Zhi Tian | Yariv Ephraim | Joseph M. Bruno | B. L. Mark | Y. Ephraim | Z. Tian | J. Bruno
[1] E. Çinlar. Exceptional Paper---Markov Renewal Theory: A Survey , 1975 .
[2] Yariv Ephraim,et al. Statistical-model-based speech enhancement systems , 1992, Proc. IEEE.
[3] Mazin G. Rahim,et al. On second-order statistics and linear estimation of cepstral coefficients , 1999, IEEE Trans. Speech Audio Process..
[4] W.H. Tranter,et al. Dynamic spectrum allocation in cognitive radio using hidden Markov models: Poisson distributed case , 2007, Proceedings 2007 IEEE SoutheastCon.
[5] Octavia A. Dobre,et al. Joint Signal Detection and Classification Based on First-Order Cyclostationarity For Cognitive Radios , 2009, EURASIP J. Adv. Signal Process..
[6] Yonina C. Eldar,et al. Wideband Spectrum Sensing at Sub-Nyquist Rates , 2010, ArXiv.
[7] Brian L. Mark,et al. Local Averaging for Fast Handoffs in Cellular Networks , 2007, IEEE Transactions on Wireless Communications.
[8] J. C. Stiller,et al. Online estimation of hidden Markov models , 1999, IEEE Signal Processing Letters.
[9] F. G. Ball,et al. Stochastic models for ion channels: introduction and bibliography. , 1992, Mathematical biosciences.
[10] Brian L. Mark,et al. Modeling and analysis of interference in Listen‐Before‐Talk spectrum access schemes , 2006, Int. J. Netw. Manag..
[11] Loo Hay Lee,et al. Stochastic Simulation Optimization - An Optimal Computing Budget Allocation , 2010, System Engineering and Operations Research.
[12] Brian L. Mark,et al. An Edge Detection Approach to Wideband Temporal Spectrum Sensing , 2016, 2016 IEEE Global Communications Conference (GLOBECOM).
[13] Geoffrey Ye Li,et al. Soft Combination and Detection for Cooperative Spectrum Sensing in Cognitive Radio Networks , 2008, IEEE GLOBECOM 2007 - IEEE Global Telecommunications Conference.
[14] Brian L. Mark,et al. Bivariate Markov Processes and Their Estimation , 2013, Found. Trends Signal Process..
[15] Visa Koivunen,et al. Robust Nonparametric Cyclic Correlation-Based Spectrum Sensing for Cognitive Radio , 2010, IEEE Transactions on Signal Processing.
[16] W. Gardner. Exploitation of spectral redundancy in cyclostationary signals , 1991, IEEE Signal Processing Magazine.
[17] Brian M. Sadler,et al. Cyclic Feature Detection With Sub-Nyquist Sampling for Wideband Spectrum Sensing , 2012, IEEE Journal of Selected Topics in Signal Processing.
[18] New York Dover,et al. ON THE CONVERGENCE PROPERTIES OF THE EM ALGORITHM , 1983 .
[19] H. Vincent Poor,et al. A sensing policy based on confidence bounds and a restless multi-armed bandit model , 2012, 2012 Conference Record of the Forty Sixth Asilomar Conference on Signals, Systems and Computers (ASILOMAR).
[20] R.W. Brodersen,et al. Implementation issues in spectrum sensing for cognitive radios , 2004, Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, 2004..
[21] Shuguang Cui,et al. Optimal Linear Cooperation for Spectrum Sensing in Cognitive Radio Networks , 2008, IEEE Journal of Selected Topics in Signal Processing.
[22] Bhaskar Krishnamachari,et al. On myopic sensing for multi-channel opportunistic access: structure, optimality, and performance , 2007, IEEE Transactions on Wireless Communications.
[23] Brian L. Mark,et al. Interference model for spectrum sensing with power control , 2013, 2013 47th Annual Conference on Information Sciences and Systems (CISS).
[24] Brian L. Mark,et al. Causal Recursive Parameter Estimation for Discrete-Time Hidden Bivariate Markov Chains , 2015, IEEE Transactions on Signal Processing.
[25] T. Rydén. On recursive estimation for hidden Markov models , 1997 .
[26] Brian L. Mark,et al. Spectrum Sensing Using a Hidden Bivariate Markov Model , 2013, IEEE Transactions on Wireless Communications.
[27] Yonina C. Eldar,et al. Wideband Spectrum Sensing at Sub-Nyquist Rates [Applications Corner] , 2010, IEEE Signal Processing Magazine.
[28] Sang-Won Kim,et al. HMM Based Channel Status Predictor for Cognitive Radio , 2007, 2007 Asia-Pacific Microwave Conference.
[29] Hüseyin Arslan,et al. A survey of spectrum sensing algorithms for cognitive radio applications , 2009, IEEE Communications Surveys & Tutorials.
[30] Lawrence R. Rabiner,et al. A tutorial on hidden Markov models and selected applications in speech recognition , 1989, Proc. IEEE.
[31] Georgios B. Giannakis,et al. A Wavelet Approach to Wideband Spectrum Sensing for Cognitive Radios , 2006, 2006 1st International Conference on Cognitive Radio Oriented Wireless Networks and Communications.
[32] Erhan Cinlar,et al. Markov Renewal Theory: A Survey , 1973 .
[33] Anna Scaglione,et al. The Restless Multi-Armed Bandit Formulation of the Cognitive Compressive Sensing Problem , 2015, IEEE Transactions on Signal Processing.
[34] K. B. Letaief,et al. Optimization of cooperative spectrum sensing with energy detection in cognitive radio networks , 2009, IEEE Transactions on Wireless Communications.
[35] Loo Hay Lee,et al. Efficient Simulation Budget Allocation for Selecting an Optimal Subset , 2008, INFORMS J. Comput..
[36] Lang Tong,et al. Asymptotically Efficient Multichannel Estimation for Opportunistic Spectrum Access , 2012, IEEE Transactions on Signal Processing.
[37] Yonghong Zeng,et al. Cooperative Spectrum Sensing in Cognitive Radio Networks with Weighted Decision Fusion Schemes , 2010, IEEE Transactions on Wireless Communications.
[38] David M. Lucantoni,et al. A Markov Modulated Characterization of Packetized Voice and Data Traffic and Related Statistical Multiplexer Performance , 1986, IEEE J. Sel. Areas Commun..
[39] Marcel F. Neuts,et al. Matrix-Geometric Solutions in Stochastic Models , 1981 .
[40] Shunzheng Yu,et al. Hidden semi-Markov models , 2010, Artif. Intell..
[41] D. Rubin,et al. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .
[42] B. Melamed,et al. Traffic modeling for telecommunications networks , 1994, IEEE Communications Magazine.
[43] A. Albert. Estimating the Infinitesimal Generator of a Continuous Time, Finite State Markov Process , 1962 .
[44] Jon W. Mark,et al. Wireless Communications and Networking , 2002 .
[45] H. Vincent Poor,et al. Collaborative Cyclostationary Spectrum Sensing for Cognitive Radio Systems , 2009, IEEE Transactions on Signal Processing.
[46] 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.
[47] Brian L. Mark,et al. Collaborative Spectrum Sensing via Online Estimation of Hidden Bivariate Markov Models , 2016, IEEE Transactions on Wireless Communications.
[48] Chun-Hung Chen,et al. Simulation Budget Allocation for Further Enhancing the Efficiency of Ordinal Optimization , 2000, Discret. Event Dyn. Syst..
[49] Brian L. Mark,et al. A recursive algorithm for joint time-frequency wideband spectrum sensing , 2015, 2015 IEEE Wireless Communications and Networking Conference Workshops (WCNCW).
[50] Simon Haykin,et al. Cognitive radio: brain-empowered wireless communications , 2005, IEEE Journal on Selected Areas in Communications.
[51] Brian L. Mark,et al. Online Parameter Estimation for Temporal Spectrum Sensing , 2015, IEEE Transactions on Wireless Communications.
[52] Neri Merhav,et al. Hidden Markov processes , 2002, IEEE Trans. Inf. Theory.
[53] Quan Liu,et al. One Step Beyond Myopic Probing Policy: A Heuristic Lookahead Policy for Multi-Channel Opportunistic Access , 2015, IEEE Transactions on Wireless Communications.