[1] Feng C, Jing Y D, Jin S.Interference and Outage Probability Analysis for Massive MIMO Downlink with MF Precoding[J]. IEEE Signal Processing Letters (S1070-9908), 2016, 23(3): 366-370. [2] Ding Y, Rao B D.Dictionary Learning-Based Sparse Channel Representation and Estimation for FDD Massive MIMO Systems[J]. IEEE Transactions on Wireless Communications (S1536-1276), 2018, 17(8): 5437-5451. [3] Abeysekera B A H S, Matsuda T. Dynamic Contention Window Control Mechanism to Achieve Fairness between Uplink and Downlink Flows in IEEE 802.11 Wireless LANs[J]. IEEE Transactions on Wireless Communications (S1536-1276), 2008, 7(9): 3517-3525. [4] Li Q H, Lin X T E, Zhang J Z. Advancement of MIMO technology in WiMAX: from IEEE 802.16d/e/j to 802.16m[J]. IEEE Communications Magazine (S0163-6804), 2009, 47(6): 100-107. [5] Ding Z Guo, Liu Y W, Choi J H.Application of Non-Orthogonal Multiple Access in LTE and 5G Networks[J]. IEEE Communications Magazine (S2169-3536), 2017, 55(2): 185-191. [6] El-Khamy S E, Moussa K H. Millimeter Multi-User Massive MIMO Simplified Using Antenna Selection and One-Bit Quantized Channel Estimation[C]. URSI Asia-Pacific Radio Science Conference (URSI AP-RASC). Seoul, South Korea: IEEE, 2016: 769-772. [7] Rao X, Lau V K N. Distributed Compressive CSIT Estimation and Feedback for FDD Multi-User Massive MIMO Systems[J]. IEEE Transactions on Signal Processing (S1053-587X), 2014, 62(12): 3261-3271. [8] Gao Z, Dai L, Dai W, et al.Structured Compressive Sensing-Based Spatio-Temporal Joint Channel Estimation for FDD Massive MIMO[J]. IEEE Transactions on Communications (S0090-6778), 2016, 64(2): 601-617. [9] Fang J, Li X J, Li H B.Low-Rank Covariance-Assisted Downlink Training and Channel Estimation for FDD Massive MIMO Systems[J]. IEEE Transactions on Wireless Communications (S1536-1276), 2017, 16(3): 1935-1947. [10] Sun H R, Zhao Z P, Fu X.Imited Feedback Double Directional Massive MIMO Channel Estimation: From Low-Rank Modeling to Deep Learning[C]. IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC). Kalamata, Greece: IEEE, 2018: 1948-3252. [11] Ding Y, Rao B D.Dictionary Learning-Based Sparse Channel Representation and Estimation for FDD Massive MIMO Systems[J]. IEEE Transactions on Wireless Communications (S1536-1276), 2018, 17(8): 5437-5451. [12] 姜薇. 基于矩阵完备理论的大规模MIMO系统信道估计研究[J]. 南京邮电大学学报(自然科学版), 2019, 39(5): 20-25. Jiang Wei.Channel Estimation based on Matrix Completion for Massive MIMO systems[J]. Journal of Nanjing University of Posts and Telecommunications (Natural Science Edition), 2019, 39(5): 20-25. [13] 孙梦璐. 基于低秩矩阵完备的大规模MIMO系统信道估计研究[J]. 计算机应用研究, 2018, 35(6): 1841-1844. Sun Menglu.Channel Estimation based on Low-rank Matrix Completion for Massive MIMO Systems[J]. Application Research of Computers, 2018, 35(6): 1841-1844. [14] Sun H R.Limited Feedback Double Directional Massive MIMO Channel Estimation: From Low-Rank Modeling to Deep Learning[C]. IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC). Kalamata, Greece: IEEE, 2018: 1948-3252. [15] Lu C Y, Tang J H.Nonconvex Nonsmooth Low Rank Minimization via Iteratively Reweighted Nuclear Norm[J]. IEEE Transactions on Image Processing (S1057-7149), 2016, 25(2): 829-839. [16] Liu K H, Li X J, Fang J, et al.Bayesian mmWave Channel Estimation via Exploiting Joint Sparse and Low-Rank Structures[J]. IEEE Access (S2169-3536), 2019(7): 48961-48970. [17] He X Y, Song R F, Zhu W P.Pilot Allocation for Distributed-compressed Sensing Based Sparse channel estimation in MIMO-OFDM Systems[J]. IEEE Transactions on Vehicular Technology (S0018-9545), 2016, 65(10): 2990-3004. [18] Li X J, Fang J.Millimeter Wave Channel Estimation via Exploiting Joint Sparse and Low-Rank Structures[J]. IEEE Transactions on Wireless Communications (S1536-1276), 2018, 17(2): 1123-1133. |