Results 51 to 60 of about 19,857 (226)
DCD-Based Joint Sparse Channel Estimation for OFDM in Virtual Angular Domain
IEEE Access, 2021 Massive Multiple Input Multiple Output (MIMO) is a promising technique for communications due to the high data transmission rate. To harvest the benefit from the massive MIMO, it is necessary to have accurate channel estimates.
Mingduo Liao, Yuriy Zakharov
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Massive MIMO Has Unlimited Capacity
IEEE Transactions on Wireless Communications, 2018 To appear in IEEE Transactions on Wireless Communications, 17 pages, 7 ...
Emil Bjornson +2 more
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An Energy‐Tiered Clustering‐Based Blind Detector for RIS‐RSM Systems
IET Communications, Volume 20, Issue 1, January/December 2026.This paper proposes an energy‐tiered structure initialization (ETSI) algorithm for blind detection in reconfigurable intelligent surface (RIS)‐assisted spatial modulation systems. By decomposing the modulation constellation into multiple energy tiers and leveraging structured prototype initialization with tier‐normalized refinement, ETSI effectively ...
Lijuan Zhang +2 more
wiley +1 more source
18 Element Massive MIMO/Diversity 5G Smartphones Antenna Design for Sub-6 GHz LTE Bands 42/43 Applications [PDF]
, 2021 Naveen Jaglan +2 more
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IET Communications, Volume 20, Issue 1, January/December 2026.This paper addresses channel estimation in mmWave (millimetre wave) hybrid MIMO (multiple‐input multiple‐output) systems impaired by residual transceiver hardware nonidealities, modelled as additive non‐Gaussian noise via Bussgang decomposition. A hyperparameter‐free maximum Versoria criterion (MVC)‐based channel estimator is proposed, featuring a ...
Rangeet Mitra +5 more
wiley +1 more source
Technology Trends for Massive MIMO towards 6G
Sensors, 2023 At the dawn of the next-generation wireless systems and networks, massive multiple-input multiple-output (MIMO) in combination with leading-edge technologies, methodologies, and architectures are poised to be a cornerstone technology. Capitalizing on its
Yiming Huo +8 more
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, 2016 Every new network generation needs to make a leap in area data throughput, to manage the growing wireless data traffic. The Massive MIMO technologycan bring at least ten-fold improvements in area throughput by increasing the spec-tral efficiency (bit/s/Hz/cell), while using the same bandwidth and density of basestations as in current networks.
Van Chien, Trinh, Björnson, Emil
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Massive MIMO User Location Based Pilot Allocation in Massive MIMO Systems
International Journal of Innovative Technology and Exploring Engineering, 2020 Aiming at the problem of massive MIMO pilot contamination, a user location information based pilot allocation scheme is proposed. The proposed scheme sorts the users and assigns pilots in accordance to the polar angle of the user's location in the polar coordinate system with the base station of the cell as the pole.
Shivaprasad Martha* +1 more
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IET Communications, Volume 20, Issue 1, January/December 2026.This research proposes a Regularised Hyperparameter Bilevel Optimisation with Continual Learning‐based Deep Neural Network (RHBO‐CLDNN) for beamforming in an Ultra‐Wide Band (UWB) system. The RHBO ensures the hyperparameter efficiency at both upper and lower levels, which allows DNN to fine‐tune the unique characteristics of the UWB system, which leads
Pradeep Kumar Siddanna +2 more
wiley +1 more source
Low-power transmission method for uplink millimeter-wave massive MIMO-NOMA system based on GSIC
Dianxin kexue, 2023 The combination of non-orthogonal multiple access (NOMA) and millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) can meet the requirements for huge throughput and massive connectivity in future wireless communication network.The total ...
Hui WANG +4 more
doaj +2 more sources