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Grant-free random access (GFRA) is now a popular protocol for large-scale wireless multiple access systems in order to reduce control signaling. Resource allocation in GFRA can be viewed as a form of frame slotted ALOHA, where a ubiquitous…

Information Theory · Computer Science 2024-07-29 Alix Jeannerot , Malcolm Egan , Jean-Marie Gorce

This paper considers Cell-Free Massive Multiple Input Multiple Output (MIMO) systems with the assistance of an RIS for enhancing the system performance. Distributed maximum-ratio combining (MRC) is considered at the access points (APs). We…

Information Theory · Computer Science 2021-09-17 Trinh Van Chien , Hien Quoc Ngo , Symeon Chatzinotas , Marco Di Renzo , Björn Ottersten

This paper presents several analytic closed-form approximations of the aggregated interference statistics within the framework of uplink massive machine-type communications (mMTC), taking into account the random activity of the sensors.…

Signal Processing · Electrical Eng. & Systems 2024-12-10 Sergi Liesegang , Antonio Pascual-Iserte , Olga Muñoz

This paper investigates a cell-free massive MIMO (multiple-input multiple-output) system where distributed access points (APs) perform integrated sensing and communications (ISAC) tasks, enabling simultaneous user communication and target…

Information Theory · Computer Science 2025-03-11 Sergi Liesegang , Stefano Buzzi , Carmen D'Andrea

We consider the uplink of a grant-free cell-free massive multiple-input multiple-output (GF-CF-MaMIMO) system. We propose an algorithm for distributed joint activity detection, channel estimation, and data detection (JACD) based on…

Information Theory · Computer Science 2025-02-03 Christian Forsch , Alexander Karataev , Laura Cottatellucci

Co-channel interference poses a challenge in any wireless communication network where the time-frequency resources are reused over different geographical areas. The interference is particularly diverse in cell-free massive multiple-input…

Signal Processing · Electrical Eng. & Systems 2024-04-19 Mahmoud Zaher , Emil Björnson , Marina Petrova

The massiveness of devices in crowded Machine-to-Machine (M2M) communications brings new challenges to existing random-access (RA) schemes, such as heavy signaling overhead and severe access collisions. In order to reduce the signaling…

Information Theory · Computer Science 2019-10-09 Zhaoji Zhang , Ying Li , Lei Liu , Wei Hou

Future cellular networks are expected to support new communication paradigms such as machine-type communication (MTC) services along with conventional human-type communication (HTC) services. This requires base stations to serve a large…

Information Theory · Computer Science 2018-08-29 Kamil Senel , Emil Björnson , Erik G. Larsson

In this paper, we investigate the performance of an integrated sensing and communication (ISAC) system within a cell-free massive multiple-input multiple-output (MIMO) system. Each access point (AP) operates in the millimeter-wave (mmWave)…

Signal Processing · Electrical Eng. & Systems 2025-03-20 Steven Rivetti , Ozlem Tugfe Demir , Emil Bjornson , Mikael Skoglund

Traditional random access schemes are designed based on the aggregate process of user activation, which is created on the basis of independent activations of the users. However, in Machine-Type Communications (MTC), some users are likely to…

Information Theory · Computer Science 2018-03-12 Anders Ellersgaard Kalør , Osama A. Hanna , Petar Popovski

This paper proposes the utilization of cell-free massive MIMO (CF-M-MIMO) processing on top of the regular micro/macrocellular deployments typically found in current 5G networks. Towards this end, it contemplates the connection of all base…

Networking and Internet Architecture · Computer Science 2023-06-13 F. Riera-Palou , G. Femenias , D. López-Pérez , N. Piovesan , A. De Domenico

This paper considers massive access in massive multiple-input multiple-output (MIMO) systems and proposes an adaptive active user detection and channel estimation scheme based on compressive sensing. By exploiting the sporadic traffic of…

Signal Processing · Electrical Eng. & Systems 2020-08-04 Malong Ke , Zhen Gao , Yongpeng Wu , Xiqi Gao , Robert Schober

Massive MIMO systems, where the base stations are equipped with hundreds of antennas, are an attractive way to handle the rapid growth of data traffic. As the number of users increases, the initial access and handover in contemporary…

Information Theory · Computer Science 2016-05-04 Luca Sanguinetti , Antonio A. D'Amico , Michele Morelli , Merouane Debbah

In the research of next-generation wireless communication technologies, orthogonal time frequency space (OTFS) modulation is emerging as a promising technique for high-speed mobile environments due to its superior efficiency and robustness…

Signal Processing · Electrical Eng. & Systems 2025-04-29 Yanfeng Hu , Dongming Wang , Xinjiang Xia , Jiamin Li , Pengcheng Zhu , Xiaohu You

Massive MIMO systems, where base stations are equipped with hundreds of antennas, are an attractive way to handle the rapid growth of data traffic. As the number of user equipments (UEs) increases, the initial access and handover in…

Signal Processing · Electrical Eng. & Systems 2018-06-20 Luca Sanguinetti , Antonio A. D'Amico , Michele Morelli , Merouane Debbah

This paper investigates uplink multiple access for the coexistence of enhanced mobile broadband+ (eMBB+) and massive machine-type communications+ (mMTC+) in terminal-centric cell-free massive MIMO (CF-mMIMO) systems. We propose a…

Information Theory · Computer Science 2026-05-28 Sergi Liesegang , Lou Salaün , Chung Shue Chen , Stefano Buzzi

This paper considers the fundamental power allocation problem in cell-free massive mutiple-input and multiple-output (MIMO) systems which aims at maximizing the total energy efficiency (EE) under a sum power constraint at each access point…

Information Theory · Computer Science 2022-01-21 Trang C. Mai , Hien Quoc Ngo , Le-Nam Tran

In this paper, we investigate unsourced random access for massive machine-type communications (mMTC) in the sixth-generation (6G) wireless networks. Firstly, we establish a high-efficiency uncoupled framework for massive unsourced random…

Information Theory · Computer Science 2024-05-07 Feiyan Tian , Xiaoming Chen , Yong Liang Guan , Chau Yuen

We present a novel access protocol for crowd scenarios in massive MIMO (Multiple-input multiple-output) systems. Crowd scenarios are characterized by a large number of users with intermittent access behavior, whereby orthogonal scheduling…

Information Theory · Computer Science 2016-05-20 Jesper H. Sørensen , Elisabeth de Carvalho , Čedomir Stefanović , Petar Popovski

This paper considers a massive random access problem in which a large number of sporadically active devices wish to communicate with a base station (BS) equipped with massive multiple-input multiple-output (MIMO) antennas. Each device is…

Information Theory · Computer Science 2021-11-25 Zhilin Chen , Foad Sohrabi , Ya-Feng Liu , Wei Yu