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Found 13 papers, 4 papers with code
Joint Communication and Sensing for 6G -- A Cross-Layer Perspective
As 6G emerges, cellular systems are envisioned to integrate sensing with communication capabilities, leading to multi-faceted communication and sensing (JCAS).
Waveforms for sub-THz 6G: Design Guidelines
The projected sub-THz (100 - 300 GHz) part of the upcoming 6G standard will require a careful design of the waveform and choice of slot structure.
Blind Transmitter Localization Using Deep Learning: A Scalability Study
This work presents an investigation on the scalability of a deep leaning (DL)-based blind transmitter positioning system for addressing the multi transmitter localization (MLT) problem.
Experimental Performance of Blind Position Estimation Using Deep Learning
For obtaining experimental data, we collect power measurements associated with reference positions using a wireless sensor network in an indoor scenario.
CNN aided Weighted Interpolation for Channel Estimation in Vehicular Communications
IEEE 802. 11p standard defines wireless technology protocols that enable vehicular transportation and manage traffic efficiency.
Channel Estimation for MIMO Space Time Coded OTFS under Doubly Selective Channels
The OTFS modulation has been recently proposed as a robust technique under time varying channels due to its property of spreading the data symbols over time and frequency.
OFDM with Index Modulation in Orbital Angular Momentum Multiplexed Free Space Optical Links
Communication using orbital angular momentum (OAM) modes has recently received a considerable interest in free space optical (FSO) communications.
Alternative Chirp Spread Spectrum Techniques for LPWANs
Chirp spread spectrum (CSS) is the modulation technique currently employed by Long-Range (LoRa), which is one of the most prominent Internet of things wireless communications standards.
Joint TRFI and Deep Learning for Vehicular Channel Estimation
IEEE 802. 11p standard enables the wireless technology that defines vehicular communications.
Adaptive Channel Estimation based on Deep Learning
Channel state information is very critical in various applications such as physical layer security, indoor localization, and channel equalization.
In-phase and Quadrature Chirp Spread Spectrum for IoT Communications
In this paper, we propose a scheme that encodes information bits on both in-phase and quadrature components of the chirp signal, and rather employs a coherent detector at the receiver.
Enhancing Least Square Channel Estimation Using Deep Learning
Least square (LS) channel estimation employed in various communications systems suffers from performance degradation especially in low signal-to-noise ratio (SNR) regions.
Deep Learning Based Channel Estimation Schemes for IEEE 802.11p Standard
IEEE 802. 11p standard is specially developed to define vehicular communications requirements and support cooperative intelligent transport systems.
