Integrated Sensing and Communication With Massive MIMO: A Unified Tensor Approach for Channel and Target Parameter Estimation [PDF]
IEEE Transactions on Wireless CommunicationsBenefitting from the vast spatial degrees of freedom, the amalgamation of integrated sensing and communication (ISAC) and massive multiple-input multiple-output (MIMO) is expected to simultaneously improve spectral and energy efficiencies as well as the ...
Ruoyu Zhang +6 more
semanticscholar +1 more source
Power Scaling Laws and Near-Field Behaviors of Massive MIMO and Intelligent Reflecting Surfaces [PDF]
IEEE Open Journal of the Communications Society, 2020 The use of large arrays might be the solution to the capacity problems in wireless communications. The signal-to-noise ratio (SNR) grows linearly with the number of array elements $N$ when using Massive MIMO receivers and half-duplex relays.
Emil Björnson, L. Sanguinetti
semanticscholar +1 more source
Deep Learning-Based Channel Estimation for Beamspace mmWave Massive MIMO Systems [PDF]
IEEE Wireless Communications Letters, 2018 Channel estimation is very challenging when the receiver is equipped with a limited number of radio-frequency (RF) chains in beamspace millimeter-wave massive multiple-input and multiple-output systems.
Hengtao He +3 more
semanticscholar +1 more source
Wideband Beamforming for Hybrid Massive MIMO Terahertz Communications
IEEE Journal on Selected Areas in Communications, 2021 The combination of large bandwidth at terahertz (THz) and the large number of antennas in massive MIMO results in the non-negligible spatial wideband effect in time domain or the corresponding beam squint issue in frequency domain, which will cause ...
F. Gao +4 more
semanticscholar +1 more source
Ultradense Cell-Free Massive MIMO for 6G: Technical Overview and Open Questions [PDF]
Proceedings of the IEEEUltradense cell-free massive multiple-input–multiple-output (CF-MMIMO) has emerged as a promising technology expected to meet the future ubiquitous connectivity requirements and ever-growing data traffic demands in sixth generation (6G).
H. Ngo +4 more
semanticscholar +1 more source
Research on I / Q Unbalanced Channel Reciprocity Calibration Algorithm in Massive MIMO System
MATEC Web of Conferences, 2017 Massive MIMO system uses the transmitter channel state information (CSI) to preprocess the transmitted data, which can effectively reduce the interference and enhance the Massive MIMO system capacity.
Cui Jinming +3 more
doaj +1 more source
Deep Clustering-Based Codebook Design for Massive MIMO Systems
IEEE Access, 2019 Deep learning (DL) can effectively handle explosive data and solve the complicated non-convex problems. Recently, it is used to reduce the overhead of channel state information (CSI) feedback and improve the performance of the limited feedback massive ...
Jing Jiang +4 more
doaj +1 more source
A Novel Performance Bound for Massive MIMO Enabled HetNets
Mathematics, 2023 Massive multiple-input and multiple-output (MIMO) networks with higher throughput rates, where a base station (BS) with a large-scale antenna array serves multiple users, have been widely employed in next-generation wireless communication test systems ...
Hao Li +4 more
doaj +1 more source
LDPC Coded Massive MIMO Systems
Entropy, 2019 We design a coded massive multiple-input multiple-output (MIMO) system using low-density parity-check (LDPC) codes and iterative joint detection and decoding (JDD) algorithm employing a low complexity detection.
Inho Hwang +2 more
doaj +1 more source
Integrated Communications and Localization for Massive MIMO LEO Satellite Systems [PDF]
IEEE Transactions on Wireless CommunicationsIntegrated communications and localization (ICAL) will play an important part in future sixth generation (6G) networks for the realization of Internet of Everything (IoE) to support both global communications and seamless localization.
Li You +8 more
semanticscholar +1 more source