References
Alnwaimi G, Vahid S, Moessner K (2015) Dynamic heterogeneous learning games for opportunistic access in LTE-based macro/femtocell deployments. IEEE Trans Wirel Commun 14(4):2294–2308
Alsheikh MA, Lin S, Niyato D, Tan HP (2014) Machine learning in wireless sensor networks: algorithms, strategies, and applications. IEEE Commun Surv Tutorials 16(4):1996–2018
Aprem A, Murthy CR, Mehta NB (2013) Transmit power control policies for energy harvesting sensors with retransmissions. IEEE J Sel Top Sign Proces 7(5):895–906
Aslam MW, Zhu Z, Nandi AK (2012) Automatic modulation classification using combination of genetic programming and KNN. IEEE Trans Wirel Commun 11(8):2742–2750
Assra A, Yang J, Champagne B (2016) An EM approach for cooperative spectrum sensing in multiantenna CR networks. IEEE Trans Veh Technol 65(3):1229–1243
Ateş E, Kalayci TE, Uğur A (2017) Area-priority-based sensor deployment optimisation with priority estimation using K-means. IET Commun 11(7):1082–1090
Chen YS, Chang CJ, Hsieh YL (2006) A channel effect prediction-based power control scheme using PRNN/ERLS for uplinks in DS-CDMA cellular mobile systems. IEEE Trans Wirel Commun 5(1):23–27
Chen YH, Chang CJ, Huang CY (2009) Fuzzy Q-learning admission control for WCDMA/WLAN heterogeneous networks with multimedia traffic. IEEE Trans Mob Comput 8(11):1469–1479
Choi KW, Hossain E (2013) Estimation of primary user parameters in cognitive radio systems via hidden Markov model. IEEE Trans Signal Process 61(3):782–795
Clancy C, Hecker J, Stuntebeck E, O’Shea T (2007) Applications of machine learning to cognitive radio networks. IEEE Wirel Commun 14(4):47–52
Donohoo BK, Ohlsen C, Pasricha S, Xiang Y, Anderson C (2014) Context-aware energy enhancements for smart mobile devices. IEEE Trans Mob Comput 13(8):1720–1732
Fakhfakh E, Hamouda S (2017) Optimised Q-learning for WiFi offloading in dense cellular networks. IET Commun 11(15):2380–2385
Feng VS, Chang SY (2012) Determination of wireless networks parameters through parallel hierarchical support vector machines. IEEE Trans Parallel Distrib Syst 23(3):505–512
Feng Z, Li X, Zhang Q, Li W (2017) Proactive radio resource optimization with margin prediction: a data mining approach. IEEE Trans Veh Technol 66(10):9050–9060
Hajjar M, Aldabbagh G, Dimitriou N, Win MZ (2017) Hybrid clustering scheme for relaying in multi-cell LTE high user density networks. IEEE Access 5:4431–4438
He Y, Mendis GJ, Wei J (2017) Real-time detection of false data injection attacks in smart grid: a deep learning-based intelligent mechanism. IEEE Trans Smart Grid 8(5):2505–2516
Jiang C, Zhang H, Ren Y, Han Z, Chen KC, Hanzo L (2017) Machine learning paradigms for next-generation wireless networks. IEEE Wirel Commun 24(2):98–105
Karim MS, Sorour S, Sadeghi P (2017) Network coding for video distortion reduction in device-to-device communications. IEEE Trans Veh Technol 66(6):4898–4913
Kato N, Fadlullah ZM, Mao B, Tang F, Akashi O, Inoue T, Mizutani K (2017) The deep learning vision for heterogeneous network traffic control: proposal, challenges, and future perspective. IEEE Wirel Commun 24(3):146–153
Li X, Ding S, Li Y (2017) Outlier suppression via non-convex robust PCA for efficient localization in wireless sensor networks. IEEE Sensors J 17(21):7053–7063
Liang HW, Chung WH, Kuo SY (2016) Coding-aided K-means clustering blind transceiver for space shift keying MIMO systems. IEEE Trans Wirel Commun 15(1):103–115
Lopez-Martin M, Carro B, Sanchez-Esguevillas A, Lloret J (2017) Network traffic classifier with convolutional and recurrent neural networks for internet of things. IEEE Access 5:18042–18050
Maghsudi S, Stańczak S (2015) Channel selection for network-assisted D2D communication via no-regret bandit learning with calibrated forecasting. IEEE Trans Wirel Commun 14(3):1309–1322
Mostafa M (2017) Stability proof of iterative interference cancellation for OFDM signals with blanking nonlinearity in impulsive noise channels. IEEE Signal Process Lett 24(2):201–205
Nguyen H, Zheng G, Zheng R, Han Z (2013) Binary inference for primary user separation in cognitive radio networks. IEEE Trans Wirel Commun 12(4):1532–1542
Onireti O, Zoha A, Moysen J, Imran A, Giupponi L, Imran MA, Abu-Dayya A (2016) A cell outage management framework for dense heterogeneous networks. IEEE Trans Veh Technol 65(4):2097–2113
Qiu RC, Hu Z, Chen Z, Guo N, Ranganathan R, Hou S, Zheng G (2011) Cognitive radio network for the smart grid: experimental system architecture, control algorithms, security, and microgrid testbed. IEEE Trans Smart Grid 2(4):724–740
Thilina KGM, Hossain E, Kim DI (2016) DCCC-MAC: a dynamic common-control-channel-based MAC protocol for cellular cognitive radio networks. IEEE Trans Veh Technol 65(5):3597–3613
Wang J, Jiang C, Han Z, Ren Y, Hanzo L (2016) Network association strategies for an energy harvesting aided super-wifi network relying on measured solar activity. IEEE J Sel Areas Commun 34(12):3785–3797
Wang J, Zhang X, Gao Q, Yue H, Wang H (2017a) Device-free wireless localization and activity recognition: a deep learning approach. IEEE Trans Veh Technol 66(7):6258–6267
Wang Y, Yang A, Chen X, Wang P, Wang Y, Yang H (2017b) A deep learning approach for blind drift calibration of sensor networks. IEEE Sensors J 17(13):4158–4171
Wang J, Jiang C, Zhang H, Zhang X, Leung VC, Hanzo L (2018) Learning-aided network association for hybrid indoor LiFi-WiFi systems. IEEE Trans Veh Technol 67(4):3561–3574
Wen CK, Jin S, Wong KK, Chen JC, Ting P (2015) Channel estimation for massive MIMO using Gaussian-mixture Bayesian learning. IEEE Trans Wirel Commun 14(3):1356–1368
Xia M, Owada Y, Inoue M, Harai H (2012) Optical and wireless hybrid access networks: design and optimization. J Opt Commun Netw 4(10):749–759
Zhao T, Nehorai A, Porat B (2006) K-means clustering-based data detection and symbol-timing recovery for burst-mode optical receiver. IEEE Trans Commun 54(8):1492–1501
Zhao H, Zeng X, Zhang J, Li T (2011) Equalisation of non-linear time-varying channels using a pipelined decision feedback recurrent neural network filter in wireless communication systems. IET Commun 5(3):381–395
Zhu H, Xiao F, Sun L, Wang R, Yang P (2017) R-TTWD: robust device-free through-the-wall detection of moving human with WiFi. IEEE J Sel Areas Commun 35(5):1090–1103
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Wang, J., Jiang, C. (2018). Machine Learning Paradigms in Wireless Network Association. In: Shen, X., Lin, X., Zhang, K. (eds) Encyclopedia of Wireless Networks. Springer, Cham. https://doi.org/10.1007/978-3-319-32903-1_68-1
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