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Low-complexity improved-throughput generalised spatial modulation (LCIT-GSM) is proposed. More explicitly, in GSM, extra information bits are conveyed implicitly by activating a fixed number $N_{a}$ out of $N_{t}$ transmit antennas (TAs) at…

Information Theory · Computer Science 2021-07-28 Jiancheng An , Chao Xu , Yusha Liu , Lu Gan , Lajos Hanzo

As a promising technique for high-mobility wireless communications, orthogonal time frequency space (OTFS) has been proved to enjoy excellent advantages with respect to traditional orthogonal frequency division multiplexing (OFDM). Although…

Data Structures and Algorithms · Computer Science 2023-06-22 Mi Qian , Fei Ji , Yao Ge , Miaowen Wen , Xiang Cheng , H. Vincent Poor

In this work, the problem of communication and radar sensing in orthogonal time frequency space (OTFS) with reduced cyclic prefix (RCP) is addressed. A monostatic integrated sensing and communications (ISAC) system is developed and, it is…

Signal Processing · Electrical Eng. & Systems 2025-04-30 Mauro Marchese , Musa Furkan Keskin , Pietro Savazzi , Henk Wymeersch

Multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM), a fundamental transmission scheme, promises high throughput and robustness against multipath fading. However, these benefits rely on the efficient…

Information Theory · Computer Science 2022-06-23 Xingyu Zhou , Jing Zhang , Chen-Wei Syu , Chao-Kai Wen , Jun Zhang , Shi Jin

Orthogonal time frequency space (OTFS) modulation has been proposed recently as a new waveform in the context of doubly-selective multi-path channels. This article proposes a novel pilot design that improves OTFS spectral efficiency (SE)…

Signal Processing · Electrical Eng. & Systems 2025-03-20 Davide Bergamasco , Federico Clazzer , Andrea Munari , Paolo Casari

Maximum a posteriori (MAP) inference is a fundamental computational paradigm for statistical inference. In the setting of graphical models, MAP inference entails solving a combinatorial optimization problem to find the most likely…

Machine Learning · Computer Science 2020-03-03 Jonathan N. Lee , Aldo Pacchiano , Michael I. Jordan

Over-the-air computation (AirComp), as a data aggregation method that can improve network efficiency by exploiting the superposition characteristics of wireless channels, has received much attention recently. Meanwhile, the orthogonal time…

Information Theory · Computer Science 2024-03-27 Dongkai Zhou , Jing Guo , Siqiang Wang , Zhong Zheng , Zesong Fei , Weijie Yuan , Xinyi Wang

Optimal data detection in multiple-input multiple-output (MIMO) communication systems with a large number of antennas at both ends of the wireless link entails prohibitive computational complexity. In order to reduce the computational…

Information Theory · Computer Science 2015-10-22 Charles Jeon , Ramina Ghods , Arian Maleki , Christoph Studer

The recently introduced orthogonal time frequency space modulation (OTFSM) is more robust to large narrow-band Doppler frequency shift than the orthogonal frequency division multiplexing (OFDM), used in the 5G standard. In this paper it is…

Information Theory · Computer Science 2023-07-11 Pavel Karpovich , Tomasz P. Zielinski

4G/5G wireless standards use orthogonal frequency division multiplexing (OFDM) which is robust to frequency selectivity. Equalization is possible with a single tap filter, and low-complexity equalization makes OFDM an attractive physical…

Signal Processing · Electrical Eng. & Systems 2025-09-25 Sandesh Rao Mattu , Nishant Mehrotra , Saif Khan Mohammed , Venkatesh Khammammetti , Robert Calderbank

Orthogonal Time Frequency Space (OTFS) modulation is a recently proposed scheme for time-varying narrowband channels in terrestrial radio-frequency communications. Underwater acoustic (UWA) and ultra-wideband (UWB) communication systems, on…

Signal Processing · Electrical Eng. & Systems 2022-05-10 Arunkumar K. P. , Chandra R. Murthy

This paper investigates over-the-air computation (AirComp) over multiple-access time-varying channels, where devices with high mobility transmit their sensing data to a fusion center (FC) for averaging. To combat the Doppler shift induced…

Information Theory · Computer Science 2024-12-30 Xinyu Huang , Henrik Hellström , Carlo Fischione

Sum-product networks (SPNs) are a class of probabilistic graphical models that allow tractable marginal inference. However, the maximum a posteriori (MAP) inference in SPNs is NP-hard. We investigate MAP inference in SPNs from both…

Artificial Intelligence · Computer Science 2017-11-21 Jun Mei , Yong Jiang , Kewei Tu

As a green and secure wireless transmission method, secure spatial modulation (SM) is becoming a hot research area. Its basic idea is to exploit both the index of activated transmit antenna and amplitude phase modulation signal to carry…

Information Theory · Computer Science 2021-03-10 Feng Shu , Lin Liu , LiLi Yang , Xinyi Jiang , Guiyang Xia , Yuanyuan Wu , Xianpeng Wang , Shi Jin , Jiangzhou Wang , Xiaohu You

Orthogonal time frequency space (OTFS) modulation is a recent modulation scheme designed in the delay-Doppler domain. It has been shown to achieve superior performance compared to conventional multicarrier modulation schemes designed in the…

Information Theory · Computer Science 2019-02-12 G. D. Surabhi , Rose Mary Augustine , A. Chockalingam

Spatial modulation (SM) has proven to be a promising multiple-input-multiple-output (MIMO) technique which provides high energy efficiency and reduces system complexity. In SM, only one transmitter is active at any given time while the rest…

Information Theory · Computer Science 2020-01-08 Anil Yesilkaya , Rui Bian , Iman Tavakkolnia , Harald Haas

The designing of efficient signal detectors is important and yet challenge for orthogonal time frequency space (OTFS) systems in high-mobility scenarios. In this letter, we develop an efficient message feedback interference cancellation…

Information Theory · Computer Science 2024-01-08 Xiangxiang Li , Haiyan Wang , Yao Ge , Xiaohong Shen , Jiarui Zhao

Orthogonal matching pursuit (OMP) is a greedy algorithm popularly being used for the recovery of sparse signals. In this paper, we study the performance of OMP for support recovery of sparse signal under noise. Our analysis shows that under…

Information Theory · Computer Science 2020-12-14 Hengkuan Lu , Jian Wang

Orthogonal Time Frequency Space (OTFS) modulation has recently attracted significant interest due to its potential for enabling reliable communication in high-mobility environments. However, the effectiveness of OTFS receivers relies on the…

Signal Processing · Electrical Eng. & Systems 2026-02-11 Xiaoqi Zhang , Zhitong Ni , Weijie Yuan , J. Andrew Zhang , Tony Q. S. Quek

In this paper, we introduce a new 2D modulation scheme referred to as OTFS (Orthogonal Time Frequency & Space) that multiplexes information QAM symbols over new class of carrier waveforms that correspond to localized pulses in a signal…

Information Theory · Computer Science 2018-02-09 Ronny Hadani , Anton Monk
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