Performance Analysis of Wireless Adaptive Incremental Networks Under Strong FSO Link Turbulence Conditions
暂无分享,去创建一个
[1] Weihua Zhuang,et al. Software Defined Space-Air-Ground Integrated Vehicular Networks: Challenges and Solutions , 2017, IEEE Communications Magazine.
[2] Hao Liang,et al. Dynamic Spectrum Access in Multi-Channel Cognitive Radio Networks , 2014, IEEE Journal on Selected Areas in Communications.
[3] Fumiyuki Adachi,et al. Deep Learning for Physical-Layer 5G Wireless Techniques: Opportunities, Challenges and Solutions , 2019, IEEE Wireless Communications.
[4] Xiaodong Xiong,et al. Angle estimation for bistatic MIMO radar in the presence of spatial colored noise , 2017, Signal Process..
[5] Manav R. Bhatnagar,et al. BER performance of an optically pre-amplified FSO system under turbulence and pointing errors with ASE noise , 2017, IEEE/OSA Journal of Optical Communications and Networking.
[6] Amir Rastegarnia,et al. Performance Analysis of Incremental LMS Over Flat Fading Channels , 2015, IEEE Transactions on Control of Network Systems.
[7] Mingkai Chen,et al. Optimization-Based Access Assignment Scheme for Physical-Layer Security in D2D Communications Underlaying a Cellular Network , 2018, IEEE Transactions on Vehicular Technology.
[8] Yue Yang,et al. Polarimetric object-level SAR imaging method with canonical scattering characterisation by exploiting joint sparsity , 2017 .
[9] Ke Wang,et al. Angle estimation and mutual coupling self-calibration for ULA-based bistatic MIMO radar , 2018, Signal Process..
[10] Xinyu Zhang,et al. Direction finding in bistatic MIMO radar with unknown spatially colored noise , 2018, 2018 IEEE 23rd International Conference on Digital Signal Processing (DSP).
[11] Xiaodong Xiong,et al. Angle and mutual coupling estimation in bistatic MIMO radar based on PARAFAC decomposition , 2017, Digit. Signal Process..
[12] Sirous Tannaz,et al. The Effects of Negative Exponential and K-distribution Modeled FSO Links on the Performance of Diffusion Adaptive Networks , 2018, 2018 9th International Symposium on Telecommunications (IST).
[13] Jianchao Zheng,et al. QoE Driven Decentralized Spectrum Sharing in 5G Networks: Potential Game Approach , 2017, IEEE Transactions on Vehicular Technology.
[14] Xuemin Shen,et al. Synergy of Big Data and 5G Wireless Networks: Opportunities, Approaches, and Challenges , 2018, IEEE Wireless Communications.
[15] Fangqing Wen,et al. Direction finding in MIMO radar with large antenna arrays and nonorthogonal waveforms , 2019, Digit. Signal Process..
[16] Guan Gui,et al. A New Definition of Fairness for Non-Orthogonal Multiple Access , 2019, IEEE Communications Letters.
[17] Shiwen Mao,et al. A survey of free space optical networks , 2017, Digit. Commun. Networks.
[18] Gong Zhang,et al. Joint DOD and DOA Estimation for Bistatic MIMO Radar: A Covariance Trilinear Decomposition Perspective , 2019, IEEE Access.
[19] Changiz Ghobadi,et al. Incremental adaptive networks implemented by free space optical (FSO) communication , 2018 .
[20] Ren Ping Liu,et al. ResInNet: A Novel Deep Neural Network With Feature Reuse for Internet of Things , 2019, IEEE Internet of Things Journal.
[21] Fangqing Wen,et al. Computationally Efficient DOA Estimation Algorithm for MIMO Radar With Imperfect Waveforms , 2019, IEEE Communications Letters.
[22] Yang Peng,et al. UL-CSI Data Driven Deep Learning for Predicting DL-CSI in Cellular FDD Systems , 2019, IEEE Access.
[23] Neha Mishra,et al. Outage analysis of relay assisted FSO systems over K-distribution turbulence channel , 2016, 2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT).
[24] Nei Kato,et al. Cross Layer Analysis on ONU Energy Consumption in Smart FiWi Networks , 2013, IEEE Wireless Communications Letters.
[25] Jie Yang,et al. Flight Delay Prediction Based on Aviation Big Data and Machine Learning , 2020, IEEE Transactions on Vehicular Technology.
[26] Gong Zhang,et al. A Tensor-Based Covariance Differencing Method for Direction Estimation in Bistatic MIMO Radar With Unknown Spatial Colored Noise , 2017, IEEE Access.
[27] Jie Yang,et al. Data-Driven Deep Learning for Automatic Modulation Recognition in Cognitive Radios , 2019, IEEE Transactions on Vehicular Technology.