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Related papers: Joint Activity Detection, Channel Estimation, and …

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Recently, grant-free random access schemes have received significant attention in the scientific community as a solution for extremely low-latency massive communications in new industrial Internet-of-things (IIoT) and digital twins…

Signal Processing · Electrical Eng. & Systems 2022-12-26 Davide Dardari , Marina Lotti , Nicolò Decarli , Gianni Pasolini

The flourishing low-Earth orbit (LEO) constellation communication network provides a promising solution for seamless coverage services to Internet-of-Things (IoT) terminals. However, confronted with massive connectivity and rapid variation…

Information Theory · Computer Science 2021-08-04 Xingyu Zhou , Zhen Gao

Massive machine-type communications (mMTC) is one of the main three focus areas in the 5th generation (5G) of mobile standards to enable connectivity of a massive number of internet of things (IoT) devices with little or no human…

Signal Processing · Electrical Eng. & Systems 2019-10-16 Muhammad Basit Shahab , Rana Abbas , Mahyar Shirvanimoghaddam , Sarah J. Johnson

This paper investigates the passive detection problem in multi-static integrated sensing and communication (ISAC) systems, where multiple sensing receivers (SRs) jointly detect a target using random unknown communication signals transmitted…

Information Theory · Computer Science 2025-06-10 Renjie He , Yiqiu Wang , Meixia Tao , Shu Sun

Multiple-input multiple-output (MIMO) system is the key technology for long term evolution (LTE) and 5G. The information detection problem at the receiver side is in general difficult due to the imbalance of decoding complexity and decoding…

Signal Processing · Electrical Eng. & Systems 2019-03-20 Qian Chen , Shunqing Zhang , Shugong Xu , Shan Cao

This paper introduces a novel joint communication and proactive monitoring (JCAM) system that simultaneously monitors multiple untrusted links and serves multiple legitimate users. The system leverages a cell-free massive multiple-input…

Signal Processing · Electrical Eng. & Systems 2026-04-07 Mustafa S. Abbas , Zahra Mobini , Hamid Reza Hashempour , Hien Quoc Ngo , Michail Matthaiou

Communication efficiency is of importance for wireless federated learning systems. In this paper, we propose a communication-efficient strategy for federated learning over multiple-input multiple-output (MIMO) multiple access channels…

Information Theory · Computer Science 2022-06-14 Yo-Seb Jeon , Mohammad Mohammadi Amiri , Namyoon Lee

The number of wireless devices which are connected to a single Wireless Local Area Network continues to grow each year. As a result, the orchestration of so many devices becomes a daunting, resource--consuming task, especially when the…

Information Theory · Computer Science 2023-01-19 George Vershinin , Asaf Cohen , Omer Gurewitz

There is a growing interest in the transition from 4-step random access to 2-step random access in machine-type communication (MTC), since 2-step random access is well-suited to short message delivery in various Internet of Things (IoT)…

Information Theory · Computer Science 2021-01-01 Jinho Choi

Grant-free multiple-input multiple-output (MIMO) usually employs non-orthogonal pilots for joint user detection and channel estimation. However, existing methods are too complex for massive grant-free access in massive MIMO. This letter…

Information Theory · Computer Science 2020-12-29 Yihua Ma , Zhifeng Yuan , Weimin Li , Zhigang Li

We study the Gaussian multiple access channel with random user activity, in the regime where the number of users is proportional to the code length. The receiver may know some statistics about the number of active users, but does not know…

Information Theory · Computer Science 2025-10-21 Xiaoqi Liu , Pablo Pascual Cobo , Ramji Venkataramanan

Intelligent reflecting surface (IRS) is a promising technology for beyond 5th Generation of the wireless communications. In fully passive IRS-assisted systems, channel estimation is challenging and should be carried out only at the base…

In this paper, utilizing techniques in compressed sensing, parallel optimization and deep learning, we propose a model-driven approach to jointly design the common measurement matrix and GROUP LASSO-based jointly sparse signal recovery…

Information Theory · Computer Science 2020-02-10 Shuaichao Li , Wanqing Zhang , Ying Cui

Affine frequency division multiplexing (AFDM) is a promising chirp-assisted multicarrier waveform for future high-mobility communications. This paper is devoted to enhanced receiver design for multiple input and multiple output AFDM…

Signal Processing · Electrical Eng. & Systems 2025-03-26 Qu Luo , Jing Zhu , Zilong Liu , Yanqun Tang , Pei Xiao , Gaojie Chen , Jia Shi

In this letter, we study the joint device activity and delay detection problem in asynchronous massive machine-type communications (mMTC), where all active devices asynchronously transmit their preassigned preamble sequences to the base…

Information Theory · Computer Science 2022-03-02 Zhaorui Wang , Ya-Feng Liu , Liang Liu

The fundamental communication problem in the wireless Internet of Things (IoT) is to discover a massive number of devices and to allow them reliable access to shared channels. Oftentimes these devices transmit short messages randomly and…

Information Theory · Computer Science 2021-11-22 Xu Chen , Lina Liu , Dongning Guo , Gregory W. Wornell

Code-domain non-orthogonal multiple access (CD-NOMA) systems offer key benefits such as high spectral efficiency, low latency, high reliability, and massive connectivity. NOMA's ability to handle overloading allows multiple devices to share…

Signal Processing · Electrical Eng. & Systems 2024-10-23 Vinjamoori Vikas , Kuntal Deka , A. Rajesh

The advent of the sixth-generation (6G) of wireless communications has given rise to the necessity to connect vast quantities of heterogeneous wireless devices, which requires advanced system capabilities far beyond existing network…

Information Theory · Computer Science 2023-11-14 Zhen Gao , Malong Ke , Yikun Mei , Li Qiao , Sheng Chen , Derrick Wing Kwan Ng , H. Vincent Poor

Data aggregation is a promising approach to enable massive machine-type communication (mMTC). Here, we first characterize the aggregation phase where a massive number of machine-type devices transmits to their respective aggregator. By…

Networking and Internet Architecture · Computer Science 2019-06-27 Onel L. Alcaraz López , Hirley Alves , Pedro H. J. Nardelli , Matti Latva-aho

Massive machine-type communications (mMTC) demand robust solutions to support extensive connectivity efficiently. Unsourced random access (URA) has emerged as a promising approach, delivering high spectral and energy efficiency. Among URA…

Information Theory · Computer Science 2025-12-25 Liandong Hu , Jian Dang , Zaichen Zhang
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