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This paper investigates the massive random access for a huge amount of user devices served by a base station (BS) equipped with a massive number of antennas. We consider a grant-free unsourced random access (U-RA) scheme where all users…

Information Theory · Computer Science 2020-09-15 Xinyu Xie , Yongpeng Wu , Junyuan Gao , Wenjun Zhang

In this paper, a new multi-cell MMSE detector is proposed for massive MIMO systems. Let $K$ and $B$ denote the number of users in each cell and the number of available pilot sequences in the network, respectively, with $B = \beta K$, where…

Information Theory · Computer Science 2015-09-08 Xueru Li , Emil Björnson , Erik G. Larsson , Shidong Zhou , Jing Wang

Channel estimation is one of the key issues in practical massive multiple-input multiple-output (MIMO) systems. Compared with conventional estimation algorithms, deep learning (DL) based ones have exhibited great potential in terms of…

Information Theory · Computer Science 2021-08-24 Jiabao Gao , Mu Hu , Caijun Zhong , Geoffrey Ye Li , Zhaoyang Zhang

The Internet of Things paradigm heavily relies on a network of a massive number of machine-type devices (MTDs) that monitor various phenomena. Consequently, MTDs are randomly activated at different times whenever a change occurs. In…

Signal Processing · Electrical Eng. & Systems 2025-03-21 Leatile Marata , Esa Ollila , Hirley Alves

Next-generation wireless communication systems are unifying large-scale multiple-input multiple-output (MIMO) and integrated sensing and communication (ISAC) to enhance sensing and communication performance. In this paper, the signal…

Information Theory · Computer Science 2026-04-22 Jian Wang , Qiqiang Chen , Zheng Wang , Fan Liu , Yili Xia , Yongming Huang , Chau Yuen

This paper studies massive access in cell-free massive multi-input multi-output (MIMO) based Internet of Things and solves the challenging active user detection (AUD) and channel estimation (CE) problems. For the uplink transmission, we…

Information Theory · Computer Science 2020-07-23 Malong Ke , Zhen Gao , Yongpeng Wu , Xiqi Gao , Kat-Kit Wong

In this paper, we propose a novel method for efficient implementation of a massive Multiple-Input Multiple-Output (massive MIMO) system with Frequency Division Duplexing (FDD) operation. Our main objective is to reduce the large overhead…

Information Theory · Computer Science 2017-10-24 Mahdi Barzegar Khalilsarai , Saeid Haghighatshoar , Xinping Yi , Giuseppe Caire

Analog-to-digital converters (ADCs) stand for a significant part of the total power consumption in a massive MIMO base station. One-bit ADCs are one way to reduce power consumption. This paper presents an analysis of the spectral efficiency…

Information Theory · Computer Science 2017-09-15 Christopher Mollén , Junil Choi , Erik G. Larsson , Robert W. Heath

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

Enabling communications in the (sub-)THz band will call for massive multiple-input multiple-output (MIMO) arrays at either the transmit- or receive-side, or at both. To scale down the complexity and power consumption when operating across…

Signal Processing · Electrical Eng. & Systems 2023-12-05 Italo Atzeni , Antti Tölli , Duy H. N. Nguyen , A. Lee Swindlehurst

Massive machine-type communication (MTC) with sporadically transmitted small packets and low data rate requires new designs on the PHY and MAC layer with light transmission overhead. Compressive sensing based multiuser detection (CS-MUD) is…

Signal Processing · Electrical Eng. & Systems 2018-07-04 Yanna Bai , Bo Ai , Wei Chen

This paper studies an integrated sensing and communication (ISAC) system within a centralized cell-free massive MIMO (multiple-input multiple-output) network for target detection. ISAC transmit access points serve the user equipments in the…

Information Theory · Computer Science 2024-11-26 Zinat Behdad , Özlem Tuğfe Demir , Ki Won Sung , Emil Björnson , Cicek Cavdar

Low-resolution analog-to-digital converters (ADCs) have been considered as a practical and promising solution for reducing cost and power consumption in massive Multiple-Input-Multiple-Output (MIMO) systems. Unfortunately, low-resolution…

Signal Processing · Electrical Eng. & Systems 2020-11-09 Ly V. Nguyen , Duy H. N. Nguyen , A. Lee Swindlehurst

Massive multiple-input multiple-output (MIMO) systems are strong candidates for future fifth generation (5G) heterogeneous cellular networks. For 5G, a network densification with a high number of different classes of users and data service…

Information Theory · Computer Science 2016-11-18 L. Arevalo , R. C. de Lamare , M. Haardt , R. Sampaio-Neto

Massive MIMO (mMIMO) enables users with different requirements to get connected to the same base station (BS) on the same set of resources. In the uplink of Multiuser massive MIMO (MU-mMIMO), while such heterogeneous users are served,…

Signal Processing · Electrical Eng. & Systems 2024-03-28 S. Sowmya , Gokularam Muthukrishnan , K. Giridhar

The power consumption of high-speed, high-resolution analog to digital converters (ADCs) is a limiting factor in implementing large-bandwidth mm-wave communication systems. A mitigating solution, which has drawn considerable recent…

Signal Processing · Electrical Eng. & Systems 2022-08-10 Farhad Shirani , Hamidreza Aghasi

Achieving high spectral efficiency in realistic massive multi-user (MU) multiple-input multiple-output (MIMO) wireless systems requires computationally-complex algorithms for data detection in the uplink (users transmit to base-station) and…

Information Theory · Computer Science 2017-11-17 Kaipeng Li , Rishi Sharan , Yujun Chen , Tom Goldstein , Joseph R. Cavallaro , Christoph Studer

This paper deals with SC/FDE within a MU-MIMO system where a large number of BS antennas is adopted. In this context, either linear or reduced-complexity iterative DF detection techniques are considered. Regarding performance evaluation by…

Information Theory · Computer Science 2015-02-20 Paulo Torres , Luis Charrua , Antonio Gusmao

This paper studies the design of a decentralized multiuser multi-antenna (MIMO) system for spectrum sharing over a fixed narrow band, where the coexisting users independently update their transmit covariance matrices for individual…

Information Theory · Computer Science 2009-05-22 Rui Zhang , John M. Cioffi

In this study, we consider the physical layer security in the downlink of a Massive MIMO system employing one-bit quantization at the base station (BS). We assume an active eavesdropper that attempts to spoiling the channel estimation…

Information Theory · Computer Science 2020-03-03 M. A. Teeti
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