Results 41 to 50 of about 2,448 (179)

Cost-Efficient GPIP Processing for Large-Scale Multi-User MIMO Systems

IEEE Access, 2023
This paper investigates a joint user selection, power allocation, and beamforming strategy for maximizing a weighted sum-spectral efficiency in a single-cell multi-user multiple-input multiple-output (MU-MIMO) system.
Seungsik Moon, Namyoon Lee, Youngjoo Lee
doaj   +1 more source

Research on low-complexity XL-MIMO wireless transmission design

Dianxin kexue, 2023
Extra-large scale MIMO (XL-MIMO) can meet the requirement of high spectral efficiency in 6G communication, but also faces the challenge caused by the increase in computational complexity.It is found that the unique spatial non-stationary characteristics ...
Ruirui SUN, Yu HAN, Shi JIN, Jue WANG
doaj   +2 more sources

Fundamental Challenges, Physical Implementations, and Integration Strategies for Ising Machines in Large‐Scale Optimization Tasks

Advanced Electronic Materials, EarlyView.
Ising machines are emerging as specialized hardware solvers for computationally hard optimization problems. This review examines five major platforms—digital CMOS, analog CMOS, emerging devices, coherent optics, and quantum systems—highlighting physics‐rooted advantages and shared bottlenecks in scalability and connectivity.
Hyunjun Lee, Joon Pyo Kim, Sanghyeon Kim
wiley   +1 more source

Optimal Training Sequences for Large-Scale MIMO-OFDM Systems [PDF]

IEEE Transactions on Signal Processing, 2017
This paper considers the optimal design of training sequences for channel estimation in large-scale multiple-input multiple-output orthogonal frequency-division multiplexing systems. The application scenario of interest is when the number of transmit antennas for the downlink (or the number of receive antennas for the uplink) is large, but not large ...
Zhichao Sheng, Hoang Duong Tuan, Ha H. Nguyen 0001, Mérouane Debbah   +3 more
openaire   +1 more source

Performance Analysis of Millimeter Wave Massive MIMO Systems in Centralized and Distributed Schemes

IEEE Access, 2018
This paper considers downlink multi-user millimeter-wave massive multiple-input multiple-output (MIMO) systems in both centralized and distributed configurations, referred to as C-MIMO and D-MIMO, respectively.
Jing Li, Dian-Wu Yue, Yichuang Sun
doaj   +1 more source

Machine Learning‐Assisted Design and Performance Prediction of a Compact Dual‐Band Polarization‐Insensitive THz Metamaterial Absorber for Skin‐Cancer‐Related Refractive‐Index Sensing

Advanced Electronic Materials, EarlyView.
A compact QASRR‐based THz metamaterial absorber enables polarization‐insensitive dual‐band absorption and skin‐cancer‐related refractive‐index sensing through measurable resonance shifts. Field, surface‐current, and circuit analyses clarify the dual‐resonance mechanism, while StackNet‐assisted prediction accurately estimates the simulated absorption ...
Md. Murad Kabir Nipun, S. M. Rifatur Rana, Md. Golam Morshed, Imrose Jahan, F. A. Sabbir Ahamed, Md. Jahedul Islam   +5 more
wiley   +1 more source

Finite Horizon Optimization for Large-Scale MIMO

CoRR
Large-scale multiple-input multiple-output (MIMO) is an emerging wireless technology that deploys thousands of transmit antennas at the base-station to boost spectral efficiency. The classic weighted minimum mean-square-error (WMMSE) algorithm for beamforming is no suited for the large-scale MIMO because each iteration of the algorithm then requires ...
Yi Feng, Kaiming Shen
openaire   +2 more sources

Overcoming the Phase Discontinuity Problem in RIS Optimization: A Robust and Scalable Phase‐Aware Deep Regression Framework via Hybrid CNN–LSTM Architecture

Advanced Intelligent Systems, EarlyView.
The phase discontinuity problem—where the cyclic nature of phase angles causes catastrophic errors near the ±π boundary—is a fundamental obstacle in learning‐based reconfigurable intelligent surface (RIS) optimization. A phase‐aware hybrid CNN–LSTM framework resolves this by decomposing phase predictions into sine–cosine components, mapping circular ...
Seda Savaşçı Şen, Ali Çalhan, Murtaza Cicioğlu, Oğuzhan Demiryürek   +3 more
wiley   +1 more source

Low-complexity sparse-aware multiuser detection for large-scale MIMO systems

EURASIP Journal on Wireless Communications and Networking, 2021
Sparse-aware (SA) detectors have attracted a lot attention due to its significant performance and low-complexity, in particular for large-scale multiple-input multiple-output (MIMO) systems.
Rong Ran, Hayoung Oh
doaj   +1 more source

Overview of Precoding Techniques for Massive MIMO

IEEE Access, 2021
Massive multiple-input multiple-output (MIMO) is playing a crucial role in the fifth generation (5G) and beyond 5G (B5G) communication systems. Unfortunately, the complexity of massive MIMO systems is tremendously increased when a large number of ...
Mahmoud A. Albreem, Alaa H. Al Habbash, Ammar M. Abu-Hudrouss, Salama S. Ikki   +3 more
doaj   +1 more source