Results 21 to 30 of about 136,074 (335)
Orthogonal frequency division multiplexing [PDF]
, 2013 Introduction OFDM, also known as simultaneous MFSK , has been widely implemented in high-speed digital communications in delay-dispersive environments. It is a multicarrier modulation (MCM) technique. OFDM was first proposed by Chang in 1966. Chang proposed the principle of transmitting messages simultaneously over multiple carriers in a linear band-
Eldad Perahia, Stacey Robert J
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A Survey on Physical Layer Techniques and Challenges in Underwater Communication Systems
Journal of Marine Science and Engineering, 2023 In the past decades, researchers/scientists have paid attention to the physical layer of underwater communications (UWCs) due to a variety of scientific, military, and civil tasks completed beneath water.
Naveed Ur Rehman Junejo +6 more
doaj +1 more source
Composite Multiple-Mode Orthogonal Frequency Division Multiplexing With Index Modulation
IEEE Transactions on Wireless Communications, 2023 In this paper, we propose a composite multiple-mode orthogonal frequency division multiplexing with index modulation (C-MM-OFDM-IM) scheme to increase the spectral efficiency (SE) of OFDM-IM systems by extending the indexing to the energy and ...
Jun Li +6 more
semanticscholar +1 more source
Orthogonal frequency division multiplexing with subcarrier power modulation for doubling the spectral efficiency of 6G and beyond networks [PDF]
Transactions on Emerging Telecommunications Technologies, 2020 With the emergence of new applications (eg, extended reality [XR] and haptics), which require to be simultaneously served not just with low latency and sufficient reliability, but also with high spectral efficiency, future networks (ie, 6G and beyond ...
Jehad M. Hamamreh +2 more
semanticscholar +1 more source
Index modulation for OFDM RadCom systems
The Journal of Engineering, 2021 This paper studies a novel Radar and wireless communication fusion system namely, RadCom, using orthogonal frequency division multiplexing index modulation waveforms.
Gaojian Huang +3 more
doaj +1 more source
Advanced Materials Interfaces, EarlyView., 2023 This review discusses the use of Surface‐Enhanced Raman Spectroscopy (SERS) combined with Artificial Intelligence (AI) for detecting antimicrobial resistance (AMR). Various SERS studies used with AI techniques, including machine learning and deep learning, are analyzed for their advantages and limitations.
Zakarya Al‐Shaebi +4 more
wiley +1 more source
Interleaved orthogonal frequency division multiplexing system [PDF]
IEEE International Conference on Acoustics Speech and Signal Processing, 2002 A new orthogonal frequency division multiplexing (OFDM) system for wireless communications over frequency selective fading channels is presented. The proposed interleaved orthogonal frequency division multiplexing (IOFDM) system promises higher code rate as compared to the conventional OFDM system without bandwidth expansion and with very slight ...
Prasad, VGS, Hari, KVS
openaire +5 more sources
Analysis of GFDM as a robust 5G communication technique in noisy environment [PDF]
, 2020 One of the challenges of modulation techniques used in Fifth-Generation (5G) is their robustness in noisy environment. Conventional Orthogonal Frequency Division Multiplexing (OFDM) cannot be considered as a 5G waveform in its original form because of ...
Ayaz, Ferheen, Ayaz, Saqib
core +1 more source
IEEE Access, 2022 In the scenario of underwater acoustic communication, Orthogonal Frequency Division Multiplexing (OFDM) is widely used for its high spectral efficiency and high transmission rate.
Bai Yiqi, He Chuanlin
doaj +1 more source
Polarized deep diffractive neural network for classification, generation, multiplexing and de-multiplexing of orbital angular momentum modes [PDF]
, 2022 The multiplexing and de-multiplexing of orbital angular momentum (OAM) beams are critical issues in optical communication. Optical diffractive neural networks have been introduced to perform classification, generation, multiplexing and de-multiplexing of OAM beams. However, conventional diffractive neural networks cannot handle OAM modes with a varying
arxiv +1 more source