Deep‐Learned Channel Estimation for MIMO‐OFDM System by Exploiting Frequency‐Space Correlation
In massive MIMO–OFDM systems, accurate channel state information acquisition is vital for reliable transmission. Traditional methods fail to fully exploit sparse channel correlation, so an attentive residual autoencoder network is proposed. It uses an autoencoder with attention and residual connections to capture frequency–space correlation, and ...
Yiming Wei +5 more
wiley +1 more source
A Generalized Spatial Modulation System Using Massive MIMO Space Time Coding Antenna Grouping
Massive multiple input multiple output (MIMO), also known as a very large-scale MIMO, is an emerging technology in wireless communications that increases capacity compared to MIMO systems.
Amira I. Zaki +3 more
doaj +1 more source
FDA‐MIMO Range and Angle Estimation Based on Hybrid Tensor Ring and CP Decomposition
The graphical abstract illustrates the RMSE performance of range and angle estimation versus SNR for different array configurations. The proposed method consistently achieves lower estimation error than existing approaches and closely matches the Cramér‐Rao bound across the entire SNR range, demonstrating its superior accuracy.
Junyuan Yue +3 more
wiley +1 more source
This paper presents a hierarchical scaling and normalization method to multi‐area signal measurements that dynamically relates both the angular phase domain and its amplitude in empirical analysis of power system oscillations. The proposed approach combines logarithmic relations and the Hilbert transform to derive an effective multi‐area data scaling ...
Pedro Esquivel +5 more
wiley +1 more source
Definition and Validation of an Exposure Measurement Method for a Typical Load of a Base Station
ABSTRACT In the context of risk communication in mobile radio, a discussion has emerged whether exposure at common load of a base station should be presented in addition to the theoretical maximum, especially with 5G massive‐MIMO. However, a reproducible measurement method for instantaneous exposure independent of the utilization of the cell has yet to
Anna‐Malin Schiffarth +5 more
wiley +1 more source
AI‐Enhanced Signal Detection and Channel Estimation for Beyond 5G and 6G Wireless Networks
This paper introduces deep learning‐based methods for channel estimation and signal detection in ma‐MIMO systems, significantly improving performance. FF‐PCNet enhances channel estimation with 40.2% lower error, and LSTM‐DetNet and FF‐DetNet signal detection methods, which achieve superior signal detection with up to 99.993% SER performance and reduced
Muhammad Yunis Daha +3 more
wiley +1 more source
Precoder Design for Massive MIMO Downlink with Matrix Manifold Optimization [PDF]
Rui Sun +4 more
openalex +1 more source
Identity‐Enabled CDMA LiDAR for Massively Parallel Ranging with a Single‐Element Receiver
A novel LiDAR system integrates CDMA modulation with a single‐element detector to achieve massive channel parallel 3D imaging. By using a user identification code and a correlation‐based feedback loop, it overcomes signal collisions and the near‐far problem.
Yixiu Shen, Zi Heng Lim, Guangya Zhou
wiley +1 more source
Massive Mimo Antenna Array at Terahertz Band for Short-range Communications [PDF]
POONAM KOUNDAL +2 more
openalex +1 more source
Optical Neuromorphic Technology Catalyzes the Next‐Generation Mobile Communication Technology
Advancements in optical computing could revolutionize next‐generation wireless communication. The review highlights the role of photonic integrated circuits in implementing neural network operations and discusses their benefits, such as high computational density.
Xiaoxiong Song +6 more
wiley +1 more source

