An Improved Sub-Array Adaptive Beamforming Technique Based on Multiple Sources of Errors
In this paper, a new robust adaptive beamforming method is proposed in order to improve the robustness against steering vector (SV) mismatches that arise from multiple types of array errors.
Zhuang Xie +3 more
doaj +1 more source
Moments and autocorrelations of the signal to interference ratio in wireless communications [PDF]
This paper presents a new unified analytical method for efficient computation of first and second order statistics of the signal-to-interference- plus-noise-ratio (SINR) in wireless communication systems. New exact expressions are derived for the moments
K. A. Hamdi +1 more
core +1 more source
Analysis of the performance of adaptive arrays with autual coupling compensation
The performance of adaptive arrays with mutual coupling compensation was analyzed in detail.It was indicated that the adaptive array was able to suppress interference thoroughly.The output power of noise,however,was influenced by the direction of beam ...
LI Rong-feng 1 +3 more
doaj +2 more sources
Optimized Joint Relay and Antenna Selection for Enhanced Full‐Duplex Relay Networks
This study proposes a joint relay and antenna selection strategy for full‐duplex amplify‐and‐forward relay networks. By adaptively optimizing transmitter–receiver configurations based on channel conditions, the method reduces self‐interference, lowers outage probability, and symbol error rate, and enhances spectral efficiency, offering a scalable ...
Deepika Rani Sona +3 more
wiley +1 more source
CNN‐DDQN Spatial Learning for Fractional Frequency Reuse Optimization in 5G Heterogeneous Networks
This study proposes a spatially aware DRL framework that uses multichannel network‐state tensors and a lightweight CNN‐DDQN architecture to capture interference patterns and user clustering in 5G heterogeneous networks (HetNets). The model is computationally efficient with only 7361 trainable parameters, achieving 115× faster execution and < 10 ms ...
Christian Onu +9 more
wiley +1 more source
An analytical approach to SINR estimation in adjacent rectangular cells [PDF]
Signal-to-interference-plus-noise ratio (SINR) experienced by a mobile user is the key metric determining the throughput it receives over a certain wireless technology of interest.
Begishev V. +6 more
core +3 more sources
In this paper, we propose a deep learning approach for solving power allocation problems in massive MIMO networks. We use signal-to-interference-plus-noise-ratio (SINR) and signal-to-leak-plus-noise ratio (SLNR) criteria for linear precoder design to ...
Ridho Hendra Yoga Perdana +2 more
doaj +1 more source
Optically Transparent Ka‐Band Absorber With Multi‐Fractal Rings and a Metal Mesh Ground Plane
ABSTRACT An optically transparent absorber based on multi‐fractal ring resonators and a metal mesh ground plane is presented for Ka‐band applications. By merging multiple resonances, the proposed absorber maintains an absorption bandwidth from 25.8 to 31.1 GHz.
Junseong Bae +6 more
wiley +1 more source
DA and NDA SINR estimation in non Gaussian noise [PDF]
In this paper, the problem of signal-to-interference plus noise ratio estimation over flat fading channels in non-Gaussian noise is addressed. Most previously published estimators assume the additive noise to be Gaussian.
Hamdi, K A; id_orcid +3 more
core +1 more source
Joint Interference and Phase Alignment among Data Streams in Multicell MIMO Broadcasting
For the problem of channel state information (CSI) delay and error, this paper proposes a joint interference and phase alignment algorithm based on Bayesian estimation and power allocation among data streams for multicell, multiple-input multiple-output ...
Waleed Shahjehan +3 more
doaj +1 more source

