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The next wave of wireless technologies will proliferate in connecting sensors, machines, and robots for myriad new applications, thereby creating the fabric for the Internet of Things (IoT). A generic scenario for IoT connectivity involves…

Information Theory · Computer Science 2018-10-17 Liang Liu , Erik G. Larsson , Wei Yu , Petar Popovski , Cedomir Stefanovic , Elisabeth De Carvalho

A key challenge of massive MTC (mMTC), is the joint detection of device activity and decoding of data. The sparse characteristics of mMTC makes compressed sensing (CS) approaches a promising solution to the device detection problem.…

Information Theory · Computer Science 2018-06-27 Kamil Senel , Erik G. Larsson

In this paper, we investigate jointly sparse signal recovery and jointly sparse support recovery in Multiple Measurement Vector (MMV) models for complex signals, which arise in many applications in communications and signal processing.…

Signal Processing · Electrical Eng. & Systems 2020-09-09 Ying Cui , Shuaichao Li , Wanqing Zhang

This paper presents a new approach to intra-cell pilot contamination in crowded massive MIMO scenarios. The approach relies on two essential properties of a massive MIMO system, namely near-orthogonality between user channels and…

Information Theory · Computer Science 2015-05-22 Jesper H. Sørensen , Elisabeth de Carvalho , Petar Popovski

Extra-large massive multiple-input multiple-output (XL-MIMO) systems is a new concept, where spatial non-stationarities allow activate a high number of user equipments (UEs). This paper focuses on a grant-based random access (RA) approach…

Signal Processing · Electrical Eng. & Systems 2020-09-08 Otávio Seidi Nishimura , José Carlos Marinello Filho , Taufik Abrão

The spatial diversity and multiplexing advantages of massive multi-input-multi-output (mMIMO) can significantly improve the capacity of massive non-orthogonal multiple access (NOMA) in machine type communications. However, state-of-the-art…

Signal Processing · Electrical Eng. & Systems 2025-02-17 Yueqing Wang , Yikun Mei , Zhen Gao , Ziwei Wan , Boyu Ning , De Mi , Sami Muhaidat

Multiple transmit antennas in a downlink channel can provide tremendous capacity (i.e. multiplexing) gains, even when receivers have only single antennas. However, receiver and transmitter channel state information is generally required. In…

Information Theory · Computer Science 2011-11-09 Nihar Jindal

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

With the continuous growth of machine-type devices (MTDs), it is expected that massive machine-type communication (mMTC) will be the dominant form of traffic in future wireless networks. Applications based on this technology, have…

Multiagent Systems · Computer Science 2021-07-12 Joao V. C. Evangelista , Zeeshan Sattar , Georges Kaddoum , Bassant Selim , Aydin Sarraf

The design of highly scalable multiple access schemes is a main challenge in the evolution towards future massive machine-type communications, where reliability and latency constraints must be ensured to a large number of uncoordinated…

Information Theory · Computer Science 2022-03-01 Lorenzo Valentini , Alberto Faedi , Marco Chiani , Enrico Paolini

Multiuser multiple-input multiple-output (MIMO) systems are a prime candidate for use in massive connection density in machine-type communication (MTC) networks. One of the key challenges of MTC networks is to obtain accurate channel state…

Information Theory · Computer Science 2019-04-25 Jiho Song , Byungju Lee , Song Noh , Jong-Ho Lee

This paper proposes an adaptive multi-mode transmission strategy to improve the spectral efficiency achieved in the multiple-input multiple-output (MIMO) broadcast channel with delayed and quantized channel state information. The adaptive…

Information Theory · Computer Science 2016-11-17 Jun Zhang , Marios Kountouris , Jeffrey G. Andrews , Robert W. Heath

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

The industrial Internet of things (IIoT) is revolutionizing industrial processes by facilitating massive machine-type communications among countless interconnected devices. To efficiently handle the resulting large-scale and sporadic…

Signal Processing · Electrical Eng. & Systems 2025-08-22 Enrico Testi , Giulia Torcolacci , Nicolò Decarli , Davide Dardari , Enrico Paolini

The proliferating number of devices with short payloads as well as low power budget has already driven researchers away from classical grant-based access schemes that are notorious for their large signalling overhead as well as…

Information Theory · Computer Science 2020-03-24 Rana Abbas , Tao Huang , Basit Shahab , Mahyar Shirvanimoghaddam , Yonghui Li , Branka Vucetic

We consider the problem of unsourced random access (U-RA), a grant-free uncoordinated form of random access, in a wireless channel with a massive MIMO base station equipped with a large number $M$ of antennas and a large number of wireless…

Information Theory · Computer Science 2020-05-21 Alexander Fengler , Saeid Haghighatshoar , Peter Jung , Giuseppe Caire

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

Future wireless networks need to support massive machine type communication (mMTC) where a massive number of devices accesses the network and massive MIMO is a promising enabling technology. Massive access schemes have been studied for…

Information Theory · Computer Science 2021-12-01 Unnikrishnan Kunnath Ganesan , Emil Björnson , Erik G. Larsson

Practical hardware limitations often impose a reduced number of available phase shifts at the elements of a reconfigurable intelligent surface (RIS). Most works often assume continuous phase-shits at the RIS elements for the transmit and…

Information Theory · Computer Science 2023-04-20 Nuno Souto

Grant-free transmission is considered as a promising technology to support sporadic data transmission in massive machine-type communications (mMTC). Due to the distributed manner, high collision probability is an inherent drawback of…

Information Theory · Computer Science 2018-07-24 Hui Jiang , Qimei Cui , Yu Gu , Xiaoqi Qin , Xuefei Zhang , Xiaofeng Tao