Results 61 to 70 of about 613,083 (218)

Low‐Complexity Hybrid Beamforming for LEO Satellites: Beam Update Rate Analysis and Advanced Adaptive Precoding

open access: yesInternational Journal of Satellite Communications and Networking, EarlyView.
ABSTRACT Low Earth Orbit (LEO) satellite constellations offer unprecedented opportunities for global broadband connectivity but pose significant beamforming challenges due to rapid platform motion and stringent onboard hardware constraints. Fully digital architectures, while optimal in theory, remain impractical for satellite payloads, motivating ...
Mohammad Momani   +2 more
wiley   +1 more source

Throughput Analysis of Massive MIMO Uplink With Low-Resolution ADCs

open access: yes, 2017
We investigate the uplink throughput achievable by a multiple-user (MU) massive multiple-input multiple-output (MIMO) system, in which the base station is equipped with a large number of low-resolution analog-to-digital converters (ADCs). Our focus is on
Giuseppe Durisi   +14 more
core   +1 more source

Massive MIMO for Full-Duplex Cellular Two-Way Relay Network: A Spectral Efficiency Study

open access: yesIEEE Access, 2017
This paper presents the new analysis of the applications of massive multiple-input-multiple-output (MIMO) in full-duplex (FD) cellular two-way relay networks, and sheds valuable insights on the interactions between massive MIMO, and relay and duplex ...
Zhaoxi Fang   +4 more
doaj   +1 more source

CLEAR Interference Cancellation in a Wideband Dual‐Channel Receiver for Independent Satellite Multi‐Connectivity Links

open access: yesInternational Journal of Satellite Communications and Networking, EarlyView.
ABSTRACT In this paper, the correlation learning estimation and adaptive reduction (CLEAR) of interference, an adaptive, blind and transparent interference compensation method applied in a wideband dual‐channel receiver, is studied for a pair of independent satellite multi‐connectivity links, using the same carrier frequency and signal bandwidth in use
Svilen Dimitrov
wiley   +1 more source

Hybrid Beamforming for Massive MIMO: A Survey [PDF]

open access: yesIEEE Communications Magazine, 2017
Hybrid multiple-antenna transceivers, which combine large-dimensional analog pre/postprocessing with lower-dimensional digital processing, are the most promising approach for reducing the hardware cost and training overhead in massive MIMO systems. This paper provides a comprehensive survey of the various incarnations of such structures that have been ...
Molisch, Andreas F.   +7 more
openaire   +3 more sources

Nonlinear 1-bit precoding for massive MU-MIMO with higher-order modulation

open access: yes, 2016
Massive multi-user (MU) multiple-input multiple-output (MIMO) is widely believed to be a core technology for the upcoming fifth-generation (5G) wireless communication standards. The use of low-precision digital-to-analog converters (DACs) in MU-MIMO base
Goldstein, Tom   +14 more
core   +1 more source

Orthogonally Precoded Massive MIMO for High Mobility Scenarios

open access: yesIEEE Access, 2019
Massive multiple-input multiple-output (MIMO) systems are of high interest for ultra-reliable low-latency communication (URLLC) links. They provide channel hardening, i.e.
Thomas Zemen   +4 more
doaj   +1 more source

Massive OAM‐MIMO transmission scheme for 5G networks and beyond

open access: yesIET Communications, 2021
The combination of orbital angular momentum (OAM) and massive multiple‐input multiple‐output (MIMO) brings the possibility of almost infinite transmission capability, which may be applied in the coming 5th generation networks and beyond. In this study, a
Fuchun Mao   +5 more
doaj   +1 more source

DCD-Based Joint Sparse Channel Estimation for OFDM in Virtual Angular Domain

open access: yesIEEE 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
doaj   +1 more source

Data privacy model using blockchain reinforcement federated learning approach for scalable internet of medical things

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
Abstract Internet of Medical Things (IoMT) has typical advancements in the healthcare sector with rapid potential proof for decentralised communication systems that have been applied for collecting and monitoring COVID‐19 patient data. Machine Learning algorithms typically use the risk score of each patient based on risk factors, which could help ...
Chandramohan Dhasaratha   +9 more
wiley   +1 more source

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