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In this paper, we explore the use of machine learning methods as an efficient alternative to correlation in performing packet detection. Targeting satellite-based massive machine type communications and internet of things scenarios, our…

Networking and Internet Architecture · Computer Science 2020-08-26 Estefania Recayte , Andrea Munari , Federico Clazzer

In this letter, we propose a trellis-coded nonorthogonal multiple access (NOMA) scheme. The signals for different users are produced by trellis coded modulation (TCM) and then superimposed on different power levels. By interpreting the…

Information Theory · Computer Science 2019-12-24 Xun Zou , Mehdi Ganji , Hamid Jafarkhani

In LoRa (Long Range), when a collision occurs in the network, each end-device has to retransmit its colliding frame, which reduces the throughput, and increases the energy consumption of the end-devices and the delay of the frames. In this…

Networking and Internet Architecture · Computer Science 2019-02-15 Samira Abboud , Nancy El Rachkidy , Alexandre Guitton

A Viterbi-like decoding algorithm is proposed in this paper for generalized convolutional network error correction coding. Different from classical Viterbi algorithm, our decoding algorithm is based on minimum error weight rather than the…

Information Theory · Computer Science 2019-02-12 Hengjie Yang , Wangmei Guo

Random Access (RA) Medium Access (MAC) protocols are simple and effective when the nature of the traffic is unpredictable and random. In the following paper, a novel RA protocol called Enhanced Contention Resolution ALOHA (ECRA) is…

Information Theory · Computer Science 2012-11-22 Federico Clazzer , Christian Kissling

Data Fusion of wireless sensors is a common technique employed in many communication systems. This work focuses on incorporating the principles of non-orthogonal-multiple-access (NOMA) to optimize error performance directly in the choice of…

Information Theory · Computer Science 2023-06-01 Luca Sardellitti , Glen Takahara , Fady Alajaji

Although deep convolutional networks have been widely studied for head and neck (HN) organs at risk (OAR) segmentation, their use for routine clinical treatment planning is limited by a lack of robustness to imaging artifacts, low soft…

Computer Vision and Pattern Recognition · Computer Science 2021-03-01 Harini Veeraraghavan , Jue Jiang , Sharif Elguindi , Sean L. Berry , Ifeanyirochukwu Onochie , Aditya Apte , Laura Cervino , Joseph O. Deasy

Unsourced random access (URA) is a recently proposed multiple access paradigm tailored to the uplink channel of machine-type communication networks. By exploiting a strong connection between URA and compressed sensing, the massive multiple…

Information Theory · Computer Science 2022-06-28 Jamison R. Ebert , Vamsi K. Amalladinne , Stefano Rini , Jean-Francois Chamberland , Krishna R. Narayanan

We put forward a new algorithmic solution to the massive unsourced random access (URA) problem, by leveraging the rich spatial dimensionality offered by large-scale antenna arrays. This paper makes an observation that spatial signature is…

Information Theory · Computer Science 2020-09-16 Volodymyr Shyianov , Faouzi Bellili , Amine Mezghani , Ekram Hossain

Linear space-time block codes (STBCs) of unitary rate and full diversity, systematically constructed over arbitrary constellations for any number of transmit antennas are introduced. The codes are obtained by generalizing the existing ABBA…

Information Theory · Computer Science 2007-07-13 Giuseppe Thadeu Freitas de Abreu

For an $n_t$ transmit, $n_r$ receive antenna system ($n_t \times n_r$ system), a {\it{full-rate}} space time block code (STBC) transmits $n_{min} = min(n_t,n_r)$ complex symbols per channel use and in general, has an ML-decoding complexity…

Information Theory · Computer Science 2010-03-16 K. Pavan Srinath , B. Sundar Rajan

In this paper, a novel uncoordinated random access (URA) protocol is presented to address the pressing demand for massive connectivity with low access latency in future massive machine type communication (mMTC) scenarios. The proposed URA…

Signal Processing · Electrical Eng. & Systems 2025-10-28 Pengyu Gao , Qu Luo , Jing Zhu , Gaojie Chen , Pei Xiao , Chuan Heng Foh

Under the emerging network coding paradigm, intermediate nodes in the network are allowed not only to store and forward packets but also to process and mix different data flows. We propose a low-complexity cryptographic scheme that exploits…

Cryptography and Security · Computer Science 2016-11-17 Joao P. Vilela , Luisa Lima , Joao Barros

Recursive projection aggregation (RPA) decoding as introduced in [1] is a novel decoding algorithm which performs close to the maximum likelihood decoder for short-length Reed-Muller codes. Recently, an extension to RPA decoding, called…

Information Theory · Computer Science 2022-11-03 Johannes Voigt , Holger Jäkel , Laurent Schmalen

Motivated by the analogy between successive interference cancellation and iterative belief-propagation on erasure channels, irregular repetition slotted ALOHA (IRSA) strategies have received a lot of attention in the design of medium access…

Information Theory · Computer Science 2015-01-06 Laura Toni , Pascal Frossard

A new perspective is introduced regarding the analysis of Multiple Sequence Alignments (MSA), representing aligned data defined over a finite alphabet of symbols. The framework is designed to produce a block decomposition of an MSA, where…

Information Theory · Computer Science 2024-01-11 Christopher Barrett , Andrei Bura , Fenix Huang , Christian Reidys

Soft-input soft-output (SISO) detection algorithms form the basis for iterative decoding. The computational complexity of SISO detection often poses significant challenges for practical receiver implementations, in particular in the context…

Information Theory · Computer Science 2009-06-05 Christoph Studer , Helmut Bölcskei

Tag-based Physical-Layer Authentication (PLA) has attracted significant attention in recent years due to its low complexity, high security, and low latency. Traditional tag-based PLA schemes typically estimate tags by decoding the message…

Information Theory · Computer Science 2026-04-09 Lei Yao , Boxiang He , Shilian Wang , Enyu Shi , Chau Yuen

We propose a simple yet effective wireless network coding and decoding technique for a multiple unicast network. It utilizes spatial diversity through cooperation between nodes which carry out distributed encoding operations dictated by…

Information Theory · Computer Science 2012-09-06 Tugcan Aktas , A. Ozgur Yilmaz , Emre Aktas

We propose a joint channel estimation and signal detection approach for the uplink non-orthogonal multiple access (NOMA) using unsupervised machine learning. We apply a Gaussian mixture model (GMM) to cluster the received signals, and…

Information Theory · Computer Science 2022-12-26 Ayoob Salari , Mahyar Shirvanimoghaddam , Muhammad Basit Shahab , Reza Arablouei , Sarah Johnson
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