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We investigate fully asynchronous unsourced random access (URA), and propose a high-performing scheme that employs on-off division multiple access (ODMA). In this scheme, active users distribute their data over the transmit block based on a…

Signal Processing · Electrical Eng. & Systems 2025-04-16 Mert Ozates , Mohammad Kazemi , Gianluigi Liva , Deniz Gündüz

Unsourced random access (URA) is a particular form of grant-free uncoordinated random access wherein the users' identities are not associated to specific waveforms at the physical layer. Tensor-based modulation (TBM) has been recently…

Signal Processing · Electrical Eng. & Systems 2023-04-25 Alberto Rech , Alexis Decurninge , Luis G. Ordóñez

This paper focuses on the non-orthogonal multiple access (NOMA) design for a classical two-user multiple access channel (MAC) with finite-alphabet inputs. We consider practical quadrature amplitude modulation (QAM) constellations at both…

Information Theory · Computer Science 2017-09-05 Zheng Dong , He Chen , Jian-Kang Zhang , Lei Huang , Branka Vucetic

We introduce a modulation for unsourced massive random access whereby the transmitted symbols are rank-1 tensors constructed from Grassmannian sub-constellations. The use of a low-rank tensor structure, together with tensor decomposition in…

Information Theory · Computer Science 2020-08-13 Alexis Decurninge , Ingmar Land , Maxime Guillaud

The conventional grant-based network relies on the handshaking between base station and active users to achieve dynamic multi-user scheduling, which may cost large signaling overheads as well as system latency. To address those problems,…

Signal Processing · Electrical Eng. & Systems 2017-11-27 Fan Wei , Wen Chen , Yongpeng Wu , Jun Ma , Theodoros A. Tsiftsis

This work proposes a novel location-based multi-group multicast framework which is termed as non-orthogonal multiple access (NOMA) assisted multi-region geocast. This novel spectrum sharing framework exploits the NOMA technology to realize…

Information Theory · Computer Science 2017-11-30 Yi Zhang , Hui-Ming Wang , Zhiguo Ding , Moon Ho Lee

Motivation: Networks underlie the generation and interpretation of many biological datasets: gene networks shed light on the regulatory structure of the genome, and cell networks can capture structure of the tumor micro-environment.…

Machine Learning · Statistics 2026-03-18 Bailey Andrew , Erica L. Harris , James A. Poulter , David R. Westhead , Luisa Cutillo

We propose a novel generalized framework for grant-free random-access (GFRA) in cell-free massive multiple input multiple-output systems where multiple geographically separated access points (APs) or base stations (BSs) aim to detect…

Signal Processing · Electrical Eng. & Systems 2024-11-20 Sai Subramanyam Thoota , Erik G. Larsson

Multi-group multicast (MGM) is an increasingly important form of multi-user wireless communications with several potential applications, such as video streaming, federated learning, safety-critical vehicular communications, etc.…

Signal Processing · Electrical Eng. & Systems 2024-09-27 Xinze Lyu , Sundar Aditya , Bruno Clerckx

With the stringent requirements introduced by the new sixth-generation (6G) internet-of-things (IoT) use cases, traditional approaches to multiple access control have started to show their limitations. A new wave of grant-free (GF)…

Signal Processing · Electrical Eng. & Systems 2023-04-25 Alberto Rech , Stefano Tomasin , Lorenzo Vangelista , Cristina Costa

We propose a joint channel estimation and signal detection technique for the uplink non-orthogonal multiple access using an unsupervised clustering approach. We apply the Gaussian mixture model to cluster received signals and accordingly…

Signal Processing · Electrical Eng. & Systems 2020-10-08 Ayoob Salari , Mahyar Shirvanimoghaddam , Muhammad Basit Shahab , Reza Arablouei , Sarah Johnson

In this paper, a novel blind multi-user detection(MUD) framework for autonomous grant-free high-overloading non-orthogonal multiple access is introduced in detail aimed at fulfilling the requirements of fifth-generation massive Machine Type…

Information Theory · Computer Science 2017-12-08 Zhifeng Yuan , Yuzhou Hu , Weimin Li , Jianqiang Dai

This paper revisits the identity detection problem under the current grant-free protocol in massive machine-type communications (mMTC) by asking the following question: for stable identity detection performance, is it enough to permit…

Information Theory · Computer Science 2024-04-26 Minhao Zhu , Yifei Sun , Lizhao You , Zhaorui Wang , Ya-Feng Liu , Shuguang Cui

With the explosively increasing demands on the network capacity, throughput and number of connected wireless devices, massive connectivity is an urgent problem for the next generation wireless communications. In this paper, we propose a…

Signal Processing · Electrical Eng. & Systems 2020-11-02 Shanshan Zhang , Wen Chen , Shaoyuan Chen

Despite numerous advantages, non-orthogonal multiple access (NOMA) technique can bring additional interference for the neighboring ultra-dense networks if the power consumption of the system is not properly optimized. While targeting on the…

Networking and Internet Architecture · Computer Science 2019-04-19 Rukhsana Ruby , Shuxin Zhong , Derrick Wing Kwan Ng , Kaishun Wu , Victor C. M. Leung

There are three generic services in 5G: enhanced mobile broadband (eMBB), ultra-reliable low-latency communications (URLLC), and massive machine-type communications (mMTC). To guarantee the performance of heterogeneous services, network…

Information Theory · Computer Science 2023-07-13 Yuanwen Liu , Bruno Clerckx , Petar Popovski

The core requirement of massive Machine-Type Communication (mMTC) is to support reliable and fast access for an enormous number of machine-type devices (MTDs). In many practical applications, the base station (BS) only concerns the list of…

Information Theory · Computer Science 2022-01-03 Jingze Che , Zhaoyang Zhang , Zhaohui Yang , Xiaoming Chen , Caijun Zhong , Derrick Wing Kwan Ng

This paper investigates the performance of a two-timescale transmission design for uplink reconfigurable intelligent surface (RIS)-aided cell-free massive multiple-input multiple-output (CF-mMIMO) systems. We consider the Rician channel…

Signal Processing · Electrical Eng. & Systems 2023-08-07 Jianxin Dai , Jin Ge , Kangda Zhi , Cunhua Pan , Zaichen Zhang , Jiangzhou Wang , Xiaohu You

Owing to the ever-increasing demand in wireless spectrum, Cognitive Radio (CR) was introduced as a technique to attain high spectral efficiency. As the number of secondary users (SUs) connecting to the cognitive radio network is on the…

Information Theory · Computer Science 2020-04-10 Thulasi Tholeti , Vishnu Raj , Sheetal Kalyani

This paper investigates a two-timescale uplink transmission framework for a fluid antenna-enabled multiuser multi-input multi-output system (MIMO-FAS). Antenna positions are optimized based on statistical channel state information (CSI),…

Signal Processing · Electrical Eng. & Systems 2025-03-04 Linyue Hu , Luchu Li , Cunhua Pan , Hong Ren