Decoupling Channel Estimation for FDD Massive MIMO Systems Utilizing Joint Sparsity
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Huarui Yin | Weidong Wang | Li Chen | Xiangyu Yan | Huarui Yin | Li Chen | Weidong Wang | Xiangyu Yan
[1] Erik G. Larsson,et al. Scaling Up MIMO: Opportunities and Challenges with Very Large Arrays , 2012, IEEE Signal Process. Mag..
[2] Xiaojun Yuan,et al. Blind Multiuser Detection in Massive MIMO Channels With Clustered Sparsity , 2019, IEEE Wireless Communications Letters.
[3] Peng Cheng,et al. Multidimensional Compressive Sensing Based Analog CSI Feedback for Massive MIMO-OFDM Systems , 2014, 2014 IEEE 80th Vehicular Technology Conference (VTC2014-Fall).
[4] Babak Hossein Khalaj,et al. Deterministic Pilot Design for Sparse Channel Estimation in MISO/Multi-User OFDM Systems , 2017, IEEE Transactions on Wireless Communications.
[5] Wei Dai,et al. Structured Compressive Sensing-Based Spatio-Temporal Joint Channel Estimation for FDD Massive MIMO , 2015, IEEE Transactions on Communications.
[6] Thomas L. Marzetta,et al. Massive MIMO: An Introduction , 2015, Bell Labs Technical Journal.
[7] Theodore S. Rappaport,et al. Joint Spatial Division and Multiplexing for mm-Wave Channels , 2013, IEEE Journal on Selected Areas in Communications.
[8] Gang Liu,et al. An Novel Sparse Adaptive Blocked Matching Pursuit Algorithm for Spatio-Temporal Joint Channel Estimation in FDD Massive MIMO System , 2018, 2018 IEEE International Conference on Computer and Communication Engineering Technology (CCET).
[9] E. Candès. The restricted isometry property and its implications for compressed sensing , 2008 .
[10] Charles R. Johnson,et al. Topics in Matrix Analysis , 1991 .
[11] Gerhard Wunder,et al. Exploiting the Massive MIMO Channel Structural Properties for Minimization of Channel Estimation Error and Training Overhead , 2019, IEEE Access.
[12] Chenyang Yang,et al. Pilot Decontamination in Wideband Massive MIMO Systems by Exploiting Channel Sparsity , 2016, IEEE Transactions on Wireless Communications.
[13] Linglong Dai,et al. Joint channel estimation and feedback with low overhead for FDD massive MIMO systems , 2015, 2015 IEEE/CIC International Conference on Communications in China (ICCC).
[14] Xiqi Gao,et al. Compressive Sensing-Based Adaptive Active User Detection and Channel Estimation: Massive Access Meets Massive MIMO , 2019, IEEE Transactions on Signal Processing.
[15] Vincent K. N. Lau,et al. FDD Massive MIMO Channel Estimation With Arbitrary 2D-Array Geometry , 2017, IEEE Transactions on Signal Processing.
[16] Yongming Huang,et al. Sparse channel estimation based on compressed sensing for massive MIMO systems , 2015, 2015 IEEE International Conference on Communications (ICC).
[17] Yonina C. Eldar,et al. Compressed Sensing with Coherent and Redundant Dictionaries , 2010, ArXiv.
[18] Mahdi Khosravi,et al. Joint Pilot Power & Pattern Design for Compressive OFDM Channel Estimation , 2015, IEEE Communications Letters.
[19] Geoffrey Ye Li,et al. An Overview of Massive MIMO: Benefits and Challenges , 2014, IEEE Journal of Selected Topics in Signal Processing.
[20] Jie Tian,et al. Wandering Pattern Sensing at S-Band , 2018, IEEE Journal of Biomedical and Health Informatics.
[21] Wenyuan Wang,et al. FDD Downlink Channel Estimation Solution With Common Sparsity Learning Algorithm and Zero-Partition Enhanced GAMP Algorithm , 2018, IEEE Access.
[22] Yue Zhang,et al. Compression-Based LMMSE Channel Estimation With Adaptive Sparsity for Massive MIMO in 5G Systems , 2019, IEEE Systems Journal.
[23] Mohamed-Slim Alouini,et al. On the Low SNR Capacity of MIMO Fading Channels With Imperfect Channel State Information , 2014, IEEE Transactions on Communications.
[24] Hing Cheung So,et al. Non-Uniform Burst-Sparsity Learning for Massive MIMO Channel Estimation , 2019, IEEE Transactions on Signal Processing.
[25] Xin Sun,et al. Near-optimal pilot allocation in sparse channel estimation for massive MIMO OFDM systems , 2015, 2015 International Symposium on Wireless Communication Systems (ISWCS).
[26] Farrokh Marvasti,et al. OFDM pilot allocation for sparse channel estimation , 2011, EURASIP J. Adv. Signal Process..
[27] Yonina C. Eldar,et al. Structured Compressed Sensing: From Theory to Applications , 2011, IEEE Transactions on Signal Processing.
[28] Vincent K. N. Lau,et al. Distributed Compressive CSIT Estimation and Feedback for FDD Multi-User Massive MIMO Systems , 2014, IEEE Transactions on Signal Processing.
[29] Robert D. Nowak,et al. Compressed Channel Sensing: A New Approach to Estimating Sparse Multipath Channels , 2010, Proceedings of the IEEE.
[30] David Tse,et al. Fundamentals of Wireless Communication , 2005 .
[31] Venceslav Kafedziski. Compressed Sensing Based Channel Estimation in FDD Multi-User Massive MIMO Using Angle Domain Sparsity and Transmit Antenna Correlation , 2018, 2018 European Conference on Networks and Communications (EuCNC).
[32] Syed Aziz Shah,et al. Freezing of Gait Detection Considering Leaky Wave Cable , 2019, IEEE Transactions on Antennas and Propagation.
[33] Mung Chiang,et al. Channel capacity and state estimation for state-dependent Gaussian channels , 2005, IEEE Transactions on Information Theory.
[34] Sheng Chen,et al. Spatially Common Sparsity Based Adaptive Channel Estimation and Feedback for FDD Massive MIMO , 2015, IEEE Transactions on Signal Processing.
[35] Lin Gui,et al. Sparse Channel Estimation for Massive MIMO-OFDM Systems Over Time-Varying Channels , 2018, IEEE Access.
[36] Muhammad Alam,et al. 5G-Based User-Centric Sensing at C-Band , 2019, IEEE Transactions on Industrial Informatics.
[37] Khaled Ben Letaief,et al. Compressed CSI Acquisition in FDD Massive MIMO: How Much Training is Needed? , 2016, IEEE Transactions on Wireless Communications.
[38] Tareq Y. Al-Naffouri,et al. Efficient Coordinated Recovery of Sparse Channels in Massive MIMO , 2014, IEEE Transactions on Signal Processing.
[39] Vincent K. N. Lau,et al. Exploiting Dynamic Sparsity for Downlink FDD-Massive MIMO Channel Tracking , 2019, IEEE Transactions on Signal Processing.
[40] Dongning Guo,et al. The Degrees of Freedom of Isotropic MIMO Interference Channels Without State Information at the Transmitters , 2012, IEEE Transactions on Information Theory.
[41] Maha Elsabrouty,et al. Frequency-selective massive MIMO channel estimation and feedback in angle-time domain , 2016, 2016 IEEE Symposium on Computers and Communication (ISCC).
[42] Ralf R. Müller,et al. Blind Pilot Decontamination , 2013, IEEE Journal of Selected Topics in Signal Processing.
[43] Yan Zhou,et al. Experimental Study of MIMO Channel Statistics and Capacity via Virtual Channel Representation , 2006 .
[44] J. Salo,et al. An interim channel model for beyond-3G systems: extending the 3GPP spatial channel model (SCM) , 2005, 2005 IEEE 61st Vehicular Technology Conference.
[45] Xiaojun Yuan,et al. Downlink Channel Estimation in Multiuser Massive MIMO With Hidden Markovian Sparsity , 2018, IEEE Transactions on Signal Processing.
[46] Huarui Yin,et al. Pilot design for FDD massive MIMO systems with channel sparsity in delay-angle domain , 2017, 2017 9th International Conference on Wireless Communications and Signal Processing (WCSP).
[47] Sheng Wu,et al. Estimation of Sparse Massive MIMO-OFDM Channels With Approximately Common Support , 2017, IEEE Communications Letters.
[48] David James Love,et al. Downlink Training Techniques for FDD Massive MIMO Systems: Open-Loop and Closed-Loop Training With Memory , 2013, IEEE Journal of Selected Topics in Signal Processing.
[49] Erik G. Larsson,et al. Massive MIMO for next generation wireless systems , 2013, IEEE Communications Magazine.
[50] Michael D. Zoltowski,et al. Pilot Beam Pattern Design for Channel Estimation in Massive MIMO Systems , 2013, IEEE Journal of Selected Topics in Signal Processing.
[51] Yonina C. Eldar,et al. A Block Sparsity Based Estimator for mmWave Massive MIMO Channels With Beam Squint , 2019, IEEE Transactions on Signal Processing.