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Federated edge learning (FEEL) is a framework for training models in a distributed fashion using edge devices and a server that coordinates the learning process. In FEEL, edge devices periodically transmit model parameters to the server,…

Signal Processing · Electrical Eng. & Systems 2024-05-28 Marc Martinez-Gost , Ana Pérez-Neira , Miguel Ángel Lagunas

We consider the uplink multiple access of heterogeneous users, e.g., ultra-reliable low-latency communications (URLLC) and enhanced mobile broadband (eMBB) users. Each user has its own reliability requirement and blocklength constraint, and…

Information Theory · Computer Science 2024-11-26 Min Qiu , Yu-Chih Huang , Jinhong Yuan

This paper investigates the fundamental building blocks of physical-layer network coding (PNC). Most prior work on PNC focused on its application in a simple two-way-relay channel (TWRC) consisting of three nodes only. Studies of the…

Networking and Internet Architecture · Computer Science 2014-05-23 Jianghao He , Soung-Chang Liew

Low Power Wide Area (LPWA) networks are making spectacular progress from design, standardisation, to commercialisation. At this time of fast-paced adoption, it is of utmost importance to analyse how well these technologies will scale as the…

Networking and Internet Architecture · Computer Science 2017-09-29 Orestis Georgiou , Usman Raza

LoRaWAN is a popular low power wide area network technology widely used in many scenarios, such as environmental monitoring and smart cities. Different applications demand various quality of service (QoS), and their service within a single…

Networking and Internet Architecture · Computer Science 2020-10-20 Dmitry Bankov , Evgeny Khorov , Andrey Lyakhov

The demand for providing multicast services in cellular networks is continuously and fastly increasing. In this work, we propose a non-orthogonal transmission framework based on layered-division multiplexing (LDM) to support multicast and…

Information Theory · Computer Science 2018-07-17 Erkai Chen , Meixia Tao , Ya-Feng Liu

Molecular communication requires low-complexity symbol detection algorithms to deal with the many sources of uncertainty that are inherent in these channels. This paper proposes two variants of a high-performance asynchronous peak detection…

Information Theory · Computer Science 2017-02-27 Adam Noel , Andrew W. Eckford

Model parameter synchronization across GPUs introduces high overheads for data-parallel training at scale. Existing parameter synchronization protocols cannot effectively leverage available network resources in the face of ever increasing…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-10-14 Guanhua Wang , Shivaram Venkataraman , Amar Phanishayee , Jorgen Thelin , Nikhil Devanur , Ion Stoica

Small cell enchantment is emerging as the key technique for wireless network evolution. One challenging problem for small cell enhancement is how to achieve high data rate with as-low-as-possible control and computation overheads. As a…

Networking and Internet Architecture · Computer Science 2014-02-12 Shuqin Li , Liyu Cai

We propose a three-module extension of score-based VAMP (SC-VAMP) for signal recovery in nonlinear channels, where the received signal is obtained by applying a nonlinearity to a linear mixture of the transmitted signal, followed by…

Information Theory · Computer Science 2026-04-22 Tadashi Wadayama , Takumi Takahashi

Supporting IPv6/UDP/CoAP protocols over Low Power Wide Area Networks (LPWANs) can bring open networking, interconnection, and cooperation to this new type of Internet of Things networks. However, accommodating these protocols over these…

Networking and Internet Architecture · Computer Science 2017-08-18 Khaled Q. Abdelfadeel , Victor Cionca , Dirk Pesch

The conventional design of wireless communication systems typically relies on established mathematical models that capture the characteristics of different communication modules. Unfortunately, such design cannot be easily and directly…

Signal Processing · Electrical Eng. & Systems 2021-10-04 Yifan Ma , Yifei Shen , Xianghao Yu , Jun Zhang , S. H. Song , Khaled B. Letaief

While deep learning (DL)-based methods have achieved remarkable success in continuous wireless resource allocation, efficient solutions for problems involving discrete variables remain challenging. This is primarily due to the zero-gradient…

Machine Learning · Computer Science 2026-03-23 Yikun Wang , Yang Li , Yik-Chung Wu , Rui Zhang

This paper considers distributed coding for multi-source single-sink data collection wireless networks. A unified framework for network coding and channel coding, termed "generalized adaptive network coded cooperation" (GANCC), is proposed.…

Distributed, Parallel, and Cluster Computing · Computer Science 2010-02-22 Xingkai Bao , Jing Li

Low decoding latency and complexity are two important requirements of channel codes used in many applications, like machine-to-machine communications. In this paper, we show how these requirements can be fulfilled by using some special…

Information Theory · Computer Science 2018-09-14 Massimo Battaglioni , Alireza Tasdighi , Marco Baldi , Mohammad H. Tadayon , Franco Chiaraluce

Large language model (LLM) decoding suffers from high latency due to fragmented execution across operators and heavy reliance on off-chip memory for data exchange and reduction. This execution model limits opportunities for fusion and…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-08-27 Xinhao Luo , Zihan Liu , Yangjie Zhou , Shihan Fang , Ziyu Huang , Yu Feng , Chen Zhang , Shixuan Sun , Zhenzhe Zheng , Jingwen Leng , Minyi Guo

We propose several differential decoding schemes for asynchronous multi-user MIMO systems based on orthogonal space-time block codes (OSTBCs) where neither the transmitters nor the receiver has knowledge of the channel. First, we derive…

Information Theory · Computer Science 2014-12-22 Sina Poorkasmaei , Hamid Jafarkhani

This article introduces a novel communication scheme, termed coded compressed sensing, for unsourced multiple-access communication. The proposed divide-and-conquer approach leverages recent advances in compressed sensing and forward error…

Signal Processing · Electrical Eng. & Systems 2019-06-26 Vamsi K. Amalladinne , Jean-Francois Chamberland , Krishna R. Narayanan

We investigate techniques for designing modulation/coding schemes for the wireless two-way relaying channel. The relay is assumed to have perfect channel state information, but the transmitters are assumed to have no channel state…

Information Theory · Computer Science 2011-07-29 Brett Hern , Krishna Narayanan

In the physical layer (PHY) of modern cellular systems, information is transmitted as a sequence of resource blocks (RBs) across various domains with each resource block limited to a certain time and frequency duration. In the PHY of 4G/5G…

Signal Processing · Electrical Eng. & Systems 2024-09-05 Karim A. Said , A. A. , Beex , Elizabeth Bentley , Lingjia Liu
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