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Device activity detection is one main challenge in grant-free massive access, which is recently proposed to support massive machine-type communications (mMTC). Existing solutions for device activity detection fail to consider inter-cell…

信息论 · 计算机科学 2021-06-22 Dongdong Jiang , Ying Cui

The main challenge of massive machine-type communications (mMTC) is the joint activity and signal detection of devices. The mMTC scenario with many devices transmitting data intermittently at low data rates and via very short packets…

信息论 · 计算机科学 2020-07-28 R. B. Di Renna , R. C. de Lamare

The number of wireless devices is drastically increasing, resulting in many devices contending for radio resources. In this work, we present an algorithm to detect active devices for unsourced random access, i.e., the devices are…

信息论 · 计算机科学 2023-01-13 Gilles Callebaut , François Rottenberg , Liesbet Van der Perre , Erik G. Larsson

The use of cellular networks for massive machine-type communications (mMTC) is an appealing solution due to the availability of the existing infrastructure. However, the massive number of user equipments (UEs) poses a significant challenge…

信号处理 · 电气工程与系统科学 2025-04-22 Ahmed O. Elmeligy , Ioannis Psaromiligkos , Au Minh

Massive MIMO is considered a key enabler to support massive machine-type communication (mMTC). While massive access schemes have been extensively analyzed for co-located massive MIMO arrays, this paper explores activity detection in…

信号处理 · 电气工程与系统科学 2025-03-14 Ali Elkeshawy , Haifa Fares , Amor Nafkha

Efficient and low-latency wireless connectivity between the base station (BS) and a sparse set of sporadically active devices from a massive number of devices is crucial for random access in emerging massive machine-type communications…

信息论 · 计算机科学 2024-04-16 Jyotish Robin , Elza Erkip

In future wireless networks, one fundamental challenge for massive machine-type communications (mMTC) lies in the reliable support of massive connectivity with low latency. Against this background, this paper proposes a compressive sensing…

信息论 · 计算机科学 2018-09-13 Malong Ke , Zhen Gao , Yongpeng Wu , Xiangming Meng

To support machine-type communication (MTC), massive multiple-input multiple-output (MIMO) has been considered for grant-free random access. In general, the performance of grant-free random access with massive MIMO is limited by the number…

信息论 · 计算机科学 2020-09-03 Jinho Choi

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…

信息论 · 计算机科学 2021-11-25 Zhilin Chen , Foad Sohrabi , Ya-Feng Liu , Wei Yu

This paper considers distribution systems with a high penetration of distributed, renewable generation and addresses the problem of incorporating the associated uncertainty into the optimal operation of these networks. Joint chance…

最优化与控制 · 数学 2019-03-07 Kyri Baker , Andrey Bernstein

In machine-type communication (MTC), random access has been employed for a number of devices and sensors to access uplink channels using a pool of preambles. To support different priorities due to various quality-of-service (QoS)…

信息论 · 计算机科学 2020-10-06 Jinho Choi

Resource allocation and multiple access schemes are instrumental for the success of communication networks, which facilitate seamless wireless connectivity among a growing population of uncoordinated and non-synchronized users. In this…

信号处理 · 电气工程与系统科学 2023-06-22 Sajad Daei , Saeed Razavikia , Marios Kountouris , Mikael Skoglund , Gabor Fodor , Carlo Fischione

Pervasive networks formed by users' mobile devices have the potential to exploit a rich set of distributed service components that can be composed to provide each user with a multitude of application level services. However, in many…

网络与互联网体系结构 · 计算机科学 2022-05-30 Umair Sadiq , Mohan Kumar , Andrea Passarella , Marco Conti

In this paper, we investigate an unsourced random access scheme for massive machine-type communications (mMTC) in the sixth-generation (6G) wireless networks with sporadic data traffic. Firstly, we establish a general framework for massive…

信息论 · 计算机科学 2022-03-01 Feiyan Tian , Xiaoming Chen , Lei Liu , Derrick Wing Kwan Ng

Existing wireless communication systems have been mainly designed to provide substantial gain in terms of data rates. However, 5G and Beyond will depart from this scheme, with the objective not only to provide services with higher data…

信息论 · 计算机科学 2024-03-26 Mostafa Mohammadkarimi , Octavia A. Dobre , Moe Z. Win

Machine-type communication (MTC) has been extensively studied to provide connectivity for devices and sensors in the Internet-of-Thing (IoT). Thanks to the sparse activity, random access, e.g., ALOHA, is employed for MTC to lower signaling…

信息论 · 计算机科学 2020-08-18 Jinho Choi

The thesis is dedicated to studying methods to improve the efficiency of random access schemes and to facilitate their deployment in machine-type communications (MTC). First, a joint user activity identification and channel estimation…

信息论 · 计算机科学 2019-06-11 Zhuo Sun

We propose a novel random access (RA) protocol that accounts for the network traffic in mixed URLLC-mMTC scenarios. By considering an IoT environment under high mMTC traffic demand, we model the traffic of each service using realistic…

信号处理 · 电气工程与系统科学 2024-02-14 Herman L. dos Santos , João H. I. Souza , José Carlos Marinello , Taufik Abrão

Future machine to machine (M2M) communications need to support a massive number of devices communicating with each other with little or no human intervention. Random access techniques were originally proposed to enable M2M multiple access,…

信息论 · 计算机科学 2016-11-15 Mahyar Shirvanimoghaddam , Yonghui Li , Mischa Dohler , Branka Vucetic

In the massive machine-type communication (mMTC) scenario, a large number of devices with sporadic traffic need to access the network on limited radio resources. While grant-free random access has emerged as a promising mechanism for…

信号处理 · 电气工程与系统科学 2023-04-13 Xinyu Bian , Yuyi Mao , Jun Zhang