Results 71 to 80 of about 9,064,310 (225)

Super Wideband MIMO Systems: Channel Modeling and Performance Analysis

IEEE Open Journal of the Communications Society
This paper develops a physically-consistent channel model for analyzing super wideband (SW) multiple-input-multiple-output (MIMO) communication systems that experience strong mutual coupling (MC).
Sachitha C. Bandara, Erfan Khordad, Peter J. Smith, Robin J. Evans, Rajitha Senanayake   +4 more
doaj   +1 more source

Upper Capacity Bounds of MIMO Wireless Systems Through Fading Channels

Advances in Electrical and Electronic Engineering, 2015
This paper investigates the upper capacity bounds of MIMO systems with correlation and antenna selection techniques in general fading environments. With Antenna Selection techniques, the increased hardware complexity due to multiple antennas and large ...
Rachna Mahey, Jyoteesh Malhotra
doaj   +1 more source

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

International 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, Thomas Delamotte, Andreas Knopp   +2 more
wiley   +1 more source

MIMO detection in analog VLSI [PDF]

, 2006
In this paper we propose an analog VLSI approach to maximum a posteriori (MAP) detection in multiple-input multiple-output (MIMO) systems. This detector can be seen as an extension of the well known analog decoding concept for error correcting codes, as ...
McNamara, DP, Soler Garrido, J, Piechocki, RJ, Maharatna, K   +3 more
core   +1 more source

Semi-blind iterative joint channel estimation and K-best sphere decoding for MIMO

, 2013
An efficient and high-performance semi-blind scheme is proposed for Multiple-Input Multiple-Output (MIMO) systems by iteratively combining channel estimation with K-Best Sphere Decoding (SD).
Messier, G.G., Chen, Sheng, Magierowski, S., Dey, Indrakshi   +3 more
core   +2 more sources

Evaluating MIMO-VLC System Performance: Modulation Techniques and Ambient Light Interference Effects

Photonics
Visible light communication (VLC) is an emerging optical wireless technology capable of delivering high data rates for both indoor and outdoor environments.
Emad S. Hassan, Abdoh Jabbari, Ayman A. Alharbi   +2 more
doaj   +1 more source

2D Active Antenna Array Design for FD-MIMO System and Antenna Virtualization Techniques

International Journal of Antennas and Propagation, 2015
Full dimension MIMO (FD-MIMO) is one of the key technologies presently studied in the 3GPP for the next generation long-term evolution advanced (LTE-A) systems.
Ioannis Tzanidis, Yang Li, Gary Xu, Ji-Yun Seol, JianZhong (Charlie) Zhang   +4 more
doaj   +1 more source

Integrating Image Segmentation and Deep Learning to Improve Radio Frequency Propagation Models

International Journal of Satellite Communications and Networking, EarlyView.
ABSTRACT This paper proposes a multi‐sensor approach to improve radio frequency (RF) propagation models, which play a key role in the rapidly expanding field of connected vehicle technology. Focusing on the 1‐ to 20‐GHz frequency range, which is critical for both satellite‐to‐vehicle and base station‐to‐vehicle communications, our study introduces a ...
Jonathan Israel, Xavier Boulanger, Vegard Arneson   +2 more
wiley   +1 more source

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

CAAI 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, Mohammad Kamrul Hasan, Shayla Islam, Shailesh Khapre, Salwani Abdullah, Taher M. Ghazal, Ahmed Ibrahim Alzahrani, Nasser Alalwan, Nguyen Vo, Md Akhtaruzzaman   +9 more
wiley   +1 more source

A Comparative Analysis of DNN and Conventional Signal Detection Techniques in SISO and MIMO Communication Systems

Telecom
This paper investigates the performance of deep neural network (DNN)-based signal detection in multiple input, multiple output (MIMO), communication systems.
Hamna Shoukat, Abdul Ahad Khurshid, Muhammad Yunis Daha, Kamal Shahid, Muhammad Usman Hadi   +4 more
doaj   +1 more source