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Orthogonal frequency division multiplexing (OFDM) is one of the dominant waveforms in wireless communication systems due to its efficient implementation. However, it suffers from a loss of spectral efficiency as it requires a cyclic prefix…

Information Theory · Computer Science 2021-04-15 Fayçal Ait Aoudia , Jakob Hoydis

High peak-to-average power ratio (PAPR) has long posed a challenge for multi-carrier systems, impacting amplifier efficiency and overall system performance. This paper introduces dynamic angle fractional Fourier division multiplexing…

Information Theory · Computer Science 2024-11-14 Yewen Cao , Yulin Shao , Rose Qingyang Hu

High Peak to Average Power Ratio (PAPR) of the transmitted signal is a serious problem in multicarrier modulation systems. In this paper a new technique for reduction in PAPR of the Multicarrier Code Division Multiple Access (MC CDMA)…

Networking and Internet Architecture · Computer Science 2011-12-12 B. Sarala , D. S. Venkateswarulu

The omnipresence of deep learning architectures such as deep convolutional neural networks (CNN)s is fueled by the synergistic combination of ever-increasing labeled datasets and specialized hardware. Despite the indisputable success, the…

Machine Learning · Statistics 2016-11-29 Meshia Cédric Oveneke , Mitchel Aliosha-Perez , Yong Zhao , Dongmei Jiang , Hichem Sahli

This paper proposes a novel low probability of intercept (LPI) waveform design approach for orthogonal frequency-division multiplexing (OFDM)-based integrated sensing and communication systems by introducing artificial phase and Doppler…

Signal Processing · Electrical Eng. & Systems 2026-03-02 Umut Utku Erdem , Lucas Giroto , Tobias Chaloun , Tom Schipper , Taewon Jeong , Christian Karle , Benjamin Nuss , Thomas Zwick

We extend the idea of end-to-end learning of communications systems through deep neural network (NN)-based autoencoders to orthogonal frequency division multiplexing (OFDM) with cyclic prefix (CP). Our implementation has the same benefits…

Information Theory · Computer Science 2018-03-16 Alexander Felix , Sebastian Cammerer , Sebastian Dörner , Jakob Hoydis , Stephan ten Brink

Although multiple works have proposed energy-efficient resource allocation schemes for Massive Multiple-Input Multiple-Output (M-MIMO) system, most approaches overlook the potential of optimizing Power Amplifier (PA) transmission power…

Signal Processing · Electrical Eng. & Systems 2025-10-13 Siddarth Marwaha , Pawel Kryszkiewicz , Eduard A. Jorswieck

Image denoising is essential for removing noise in images caused by electric device malfunctions or other factors during image acquisition. It ensures the preservation of image quality and accurate interpretation. Many convolutional…

Quantum Physics · Physics 2025-10-22 Tara Kit , Kimsay Pov , Kimleang Kea , Won-Du Chang , Hee Chul Park , Youngsun Han

In recent times, there has been considerable interest in fault detection within electrical power systems, garnering attention from both academic researchers and industry professionals. Despite the development of numerous fault detection…

Systems and Control · Electrical Eng. & Systems 2026-02-17 Sidharthenee Nayak , Victor Sam Moses Babu , Chandrashekhar Narayan Bhende , Pratyush Chakraborty , Mayukha Pal

OFDM is widely adopted in modern wireless communication systems, but its power efficiency is limited by high envelope fluctuations. Although various high power-efficiency waveforms have been proposed, most are incompatible with the CP-OFDMA…

Signal Processing · Electrical Eng. & Systems 2025-10-29 Yiming Zhu , Zhuhong Zhu , Xiaodong Xu , Hongwei Hou , Wenjin Wang , Rui Ding

In this paper a unified approach for power allocation (PA) problem in multi-hop orthogonal frequency division multiplexing (OFDM) amplify-and-forward (AF) relaying systems has been developed. In the proposed approach, we consider short and…

Information Theory · Computer Science 2015-08-07 Amin Azari , Jalil S. Harsini , Farshad Lahouti

The popularity of deep convolutional autoencoders (CAEs) has engendered new and effective reduced-order models (ROMs) for the simulation of large-scale dynamical systems. Despite this, it is still unknown whether deep CAEs provide superior…

Machine Learning · Computer Science 2022-03-14 Anthony Gruber , Max Gunzburger , Lili Ju , Zhu Wang

Maintaining high energy efficiency (EE) in wireless networks is crucial, particularly with the adoption of massive MIMO technology. This work introduces a resource allocation framework that jointly optimizes transmit power assigned to each…

Signal Processing · Electrical Eng. & Systems 2026-05-27 Siddarth Marwaha , Pawel Kryszkiewicz , Eduard Jorswieck

Orthogonal frequency division multiplexing (OFDM) has been widely used in communication systems operating in the millimeter wave (mmWave) band to combat frequency-selective fading and achieve multi-Gbps transmissions, such as IEEE 802.15.3c…

Information Theory · Computer Science 2017-09-06 Hanqing Wang , Chao-Kai Wen , Shi Jin

The electrocardiogram (ECG) is an inexpensive and widely available tool for cardiac assessment. Despite its standardized format and small file size, the high complexity and inter-individual variability of ECG signals (typically a…

Machine Learning · Computer Science 2025-08-04 Christopher Harvey , Sumaiya Shomaji , Zijun Yao , Amit Noheria

Multi-carrier modulation techniques have now become a standard in many communication protocols. Filter bank based multi-carrier (FBMC) generation techniques have been discussed in the literature as a means for overcoming the shortcomings of…

Information Theory · Computer Science 2023-07-03 Job Chunkath , V. S. Sheeba , Nisha Varghese

This paper investigates the design of orthogonal frequency-division multiplexing (OFDM) waveforms for bistatic integrated sensing and communication (ISAC) systems. In the considered framework, an ISAC transmitter jointly optimizes…

Information Theory · Computer Science 2026-03-10 Ruolin Du , Zhiqiang Wei , Zai Yang , Ya-Feng Liu , Bingpeng Zhou , Derrick Wing Kwan Ng

In tone reservation (TR) based OFDM systems, the peak to average power ratio (PAPR) reduction performance mainly depends on the selection of the peak reduction tone (PRT) set and the optimal target clipping level. Finding the optimal PRT…

Signal Processing · Electrical Eng. & Systems 2020-03-16 Yajun Wang , Wen Chen , Chintha Tellambura

We introduce the Kernel-Elastic Autoencoder (KAE), a self-supervised generative model based on the transformer architecture with enhanced performance for molecular design. KAE is formulated based on two novel loss functions: modified…

Machine Learning · Computer Science 2024-03-26 Haote Li , Yu Shee , Brandon Allen , Federica Maschietto , Victor Batista

This paper proposes a novel parallel coding transmission strategy and an iterative detection and decoding receiver signal processing technique for orthogonal delay-Doppler division multiplexing (ODDM) modulation. Specifically, the proposed…

Information Theory · Computer Science 2025-02-04 Qi Li , Jinhong Yuan , Min Qiu