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This work explores the channel estimation (CE) problem in uplink transmission for unsourced random access (URA) with a fluid antenna receiver. The additional spatial diversity in a fluid antenna system (FAS) addresses the needs of URA…

Information Theory · Computer Science 2025-04-25 Keru Zhou , Zhentian Zhang , Jian Dang , Qianqian Sun , Zaichen Zhang

This paper introduces a new source coding paradigm called Sequential Massive Random Access (SMRA). In SMRA, a set of correlated sources is encoded once for all and stored on a server, and clients want to successively access to only a subset…

Information Theory · Computer Science 2017-08-31 Elsa Dupraz , Thomas Maugey , Aline Roumy , Michel Kieffer

Reconfigurable intelligent surface (RIS) has been recognized as a potential technology for 5G beyond and attracted tremendous research attention. However, channel estimation in RIS-aided system is still a critical challenge due to the…

Information Theory · Computer Science 2021-09-01 Xu Shi , Jintao Wang , Guozhi Chen , Jian Song

Unsourced multiple access abstracts grantless simultaneous communication of a large number of devices (messages) each of which transmits (is transmitted) infrequently. It provides a model for machine-to-machine communication in the Internet…

Signal Processing · Electrical Eng. & Systems 2019-12-13 Robert Calderbank , Andrew Thompson

Motivated by applications in unsourced random access, this paper develops a novel scheme for the problem of compressed sensing of binary signals. In this problem, the goal is to design a sensing matrix $A$ and a recovery algorithm, such…

Information Theory · Computer Science 2021-09-21 Elad Romanov , Or Ordentlich

A present challenge in wireless communications is the assurance of ultra-reliable and low-latency communication (URLLC). While the reliability aspect is well known to be improved by channel coding with long codewords, this usually implies…

Information Theory · Computer Science 2023-03-15 Sahar Allahkaram , Francisco A. Monteiro , Ioannis Chatzigeorgiou

In this paper, we study a concatenate coding scheme based on sparse regression code (SPARC) and tree code for unsourced random access in massive multiple-input and multiple-output systems. Our focus is concentrated on efficient decoding for…

Information Theory · Computer Science 2022-08-15 Juntao You , Wenjie Wang , Shansuo Liang , Wei Han , Bo Bai

We consider unsourced random access with MIMO receiver - a crucial communication scenario for future 5G/6G wireless networks. We perform a projection-based decoder analysis and derive energy efficiency achievability bounds when channel…

Information Theory · Computer Science 2023-03-28 Kirill Andreev , Daria Ustinova , Alexey Frolov

We propose data-recovery schemes to improve the uplink reliability of Internet of Things (IoT) networks in which a gateway mounted on an unmanned aerial vehicle (UAV) collects data from sensor nodes on the ground. The proposed techniques…

Networking and Internet Architecture · Computer Science 2026-01-28 Kushwanth Sistu , Siddhartha S. Borkotoky

This letter investigates joint power control and user clustering for downlink non-orthogonal multiple access systems. Our aim is to minimize the total power consumption by taking into account not only the conventional transmission power but…

Information Theory · Computer Science 2018-05-09 Zhaohui Yang , Cunhua Pan , Wei Xu , Ming Chen

In massive connectivity scenarios with short packets, of interest is the regime where users share wireless resources in a non-orthogonal fashion. Small payloads combined with sporadic user activation call for approaches that jointly address…

Signal Processing · Electrical Eng. & Systems 2021-01-12 Johannes Dommel , Zoran Utkovski , Petar Popovski , Slawomir Stanczak

We propose a joint source-channel-network coding scheme, based on compressive sensing principles, for wireless networks with AWGN channels (that may include multiple access and broadcast), with sources exhibiting temporal and spatial…

Information Theory · Computer Science 2011-10-04 Soheil Feizi , Muriel Medard

In this paper, coded slotted ALOHA (CSA) is introduced as a powerful random access scheme to the MAC frame. In CSA, the burst a generic user wishes to transmit in the MAC frame is first split into segments, and these segments are then…

Information Theory · Computer Science 2016-11-18 Enrico Paolini , Gianluigi Liva , Marco Chiani

A novel coding design is proposed to enhance information retrieval in a wireless network of users with partial access to the data, in the sense of observation, measurement, computation, or storage. Information exchange in the network is…

Information Theory · Computer Science 2024-02-02 Milad Abolpour , MohammadJavad Salehi , Soheil Mohajer , Seyed Pooya Shariatpanahi , Antti Tölli

In the Internet-of-Things (IoT), random access is employed for devices to share a common access channel in packet transmission with low signaling overhead. Although a retransmission strategy is necessary for packet collision resolution, it…

Information Theory · Computer Science 2019-07-23 Jinho Choi

A high success rate of grant-free random access scheme is proposed to support massive access for machine-to-machine communications in massive multipleinput multiple-output systems. This scheme allows active user equipments (UEs) to transmit…

Information Theory · Computer Science 2020-12-29 Huimei Han , Lushun Fang , Weidang Lu , Wenchao Zhai , Ying Li , Jun Zhao

Massive Machine-Type Communications (mMTC) features a massive number of low-cost user equipments (UEs) with sparse activity. Tailor-made for these features, grant-free random access (GF-RA) serves as an efficient access solution for mMTC.…

Information Theory · Computer Science 2023-05-18 Zhaoji Zhang , Yuhao Chi , Qinghua Guo , Ying Li , Guanghui Song , Chongwen Huang

In this work we treat the unsourced random access problem on a Rayleigh block-fading AWGN channel with multiple receive antennas. Specifically, we consider the slowly fading scenario where the coherence block-length is large compared to the…

Information Theory · Computer Science 2021-08-11 Alexander Fengler , Peter Jung , Giuseppe Caire

This work examines the compressed sensor caching problem in wireless sensor networks and devises efficient distributed sparse data recovery algorithms to enable collaboration among multiple caches. In this problem, each cache is only…

Information Theory · Computer Science 2024-06-17 Yi-Jen Yang , Ming-Hsun Yang , Jwo-Yuh Wu , Y. -W. Peter Hong

Multi-user spatial modulation (SM) assisted by sparse code multiple access (SCMA) has been recently proposed to provide uplink high spectral efficiency transmission. The message passing algorithm (MPA) is employed to detect the transmitted…

Signal Processing · Electrical Eng. & Systems 2020-08-19 Ibrahim Al-Nahhal , Octavia A. Dobre , Salama Ikki
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