Results 61 to 70 of about 1,658 (180)
Given that signal is weakened to a certain extent in the process of noise suppression using mainstream method, and that new noise is introduced by signal processing system, causing the decrease of detection performance, to improve the performance of ...
Xiangyu Fan +4 more
doaj +1 more source
To address the complex constrained optimization in time‐varying reconfigurable intelligent surface–assisted symbiotic radio networks, this paper proposes a novel deep reinforcement learning (DRL) approach integrating Lagrange dual optimization into deep deterministic policy gradient framework.
Jing Li +6 more
wiley +1 more source
Analisis Kinerja Jaringan 5G dengan Pengkodean QC-LDPC dan Polar
ABSTRAK Jaringan 5G telah menjadi penanda penting dalam evolusi teknologi nirkabel yang menawarkan kecepatan dan kinerja yang luar biasa untuk memenuhi kebutuhan konektivitas yang semakin meningkat.
RENI DYAH WAHYUNINGRUM +3 more
doaj +1 more source
Secret Key Extraction Using Stable Channel Impulse Response in OFDM Wireless Networks
The process of converting a complex impulse response (CIR) highest peak into a binary sequence is called ‘quantisation’. By quantising the CIR highest peaks, Alice and Bob will generate the secret key bit sequences KA and KB, respectively. The number of CIR highest peaks is infinite, and these highest peaks can be easily selected from the set of CIRs ...
Dinh Van Linh +2 more
wiley +1 more source
Chirp pseudo‐noise signal and its receiving scheme for LEO enhanced GNSS
Low earth orbit (LEO) constellations for enhancing global navigation satellite systems (GNSS) have been investigated and studied due to their higher floor power and rapid geometric changes. Compared with GNSS based on medium orbit (MEO) and geostationary
Xin Zhao +4 more
doaj +1 more source
Adaptive Satellite Selection via Deep Reinforcement Learning for Dynamic Emergency Scenarios
This work proposes a reinforcement learning–based satellite handover framework designed for emergency communication scenarios. The method adaptively responds to bandwidth and CNR fluctuations, achieving improved link stability under both deterministic and stochastic disturbances.
Ke Chen +3 more
wiley +1 more source
Ber analysis of the box relaxation for BPSK signal recovery [PDF]
We study the problem of recovering an $n$-dimensional vector of $\{\pm1\}^n$ (BPSK) signals from $m$ noise corrupted measurements $\mathbf{y}=\mathbf{A}\mathbf{x}_0+\mathbf{z}$. In particular, we consider the box relaxation method which relaxes the discrete set $\{\pm1\}^n$ to the convex set $[-1,1]^n$ to obtain a convex optimization algorithm followed
Thrampoulidis, Christos +3 more
openaire +3 more sources
1.This paper develops an analytical model to calculate the signal‐to‐interference ratio performance of mobile orthogonal frequency division multiplexing underwater acoustic (UWA) communication systems. 2.The model accounts for UWA channel distortion and non‐uniform Doppler effects, maintaining high accuracy across a range of Doppler shift magnitudes. 3.
Xinyu Liu +4 more
wiley +1 more source
Perancangan Sistem Modulator Binary Phase Shift Keying
Sistem yang dibangun adalah sebuah modul sistem modulator BPSK (Binary Phase Shift Keying). Perangkat yang dibahas adalah modulator BPSK dengan frekuensi 10kHz-48kHz dan untuk transmisi secara nirkabel ditambahkan pemancar FM yang akan mentranslasikan ...
Deddy Susilo +2 more
doaj +1 more source
Ambiguity Function Optimization Based on Joint Communication and Sensing Waveform
The sidelobe suppression strategy proposed in this study demonstrates significant advantages. Its ability to effectively reduce ambiguity function sidelobes has important practical significance for engineering. ABSTRACT The ambiguity function (AF) plays a critical role in joint communication and sensing (JCAS) systems. In this letter, we design a novel
Zheming Guo, Baixiao Chen
wiley +1 more source

