Results 31 to 40 of about 274,921 (303)

Value-difference learning based mMTC devices access algorithm in multi-cell network

open access: yesDianxin kexue, 2022
In the massive machine type communication scenario of 5G, the access congestion problem of massive machine type communication devices (mMTCD) in multi-cell network is very important.A double deep Q network with value-difference based exploration (VDBE ...
Xin LI, Jun SUN
doaj   +2 more sources

On Massive MIMO for Massive Machine-Type Communications

open access: yes, 2020
To cover all the needs and requirements of mobile networks in the future, the predicted usage of the mobile networks has been split into three use-cases: enhanced mobile broadband, ultra-reliable low-latency communication, and massive machine-type communication.
openaire   +4 more sources

Synchronization method for long-term evolution-based machine-type communication in low-power cellular Internet of Things

open access: yesInternational Journal of Distributed Sensor Networks, 2016
The significant growth of machine-to-machine applications for low-power cellular Internet of Things has compelled 3rd Generation Partnership Project to ensure that the future release of long-term evolution can support massive transfer of small ...
Rothna Pec   +3 more
doaj   +1 more source

The 6G Ecosystem as Support for IoE and Private Networks: Vision, Requirements, and Challenges

open access: yesFuture Internet, 2023
The emergence of the sixth generation of cellular systems (6G) signals a transformative era and ecosystem for mobile communications, driven by demands from technologies like the internet of everything (IoE), V2X communications, and factory automation. To
Carlos Serôdio   +5 more
doaj   +1 more source

Performance Analysis of C/U Split Hybrid Satellite Terrestrial Network for 5G Systems [PDF]

open access: yes, 2015
Over the last decade, the explosive increase in demand of high-data-rate video services and massive access machine type communication (MTC) requests have become the main challenges for the future 5G wireless network.
Evans, Barry   +4 more
core   +1 more source

Enumeration and Identification of Active Users for Grant-Free NOMA Using Deep Neural Networks

open access: yesIEEE Access, 2022
In next-generation mobile radio systems, multiple access schemes will support a massive number of uncoordinated devices exhibiting sporadic traffic, transmitting short packets to a base station.
Muhammad Usman Khan   +2 more
doaj   +1 more source

Reliable recovery of hierarchically sparse signals for Gaussian and Kronecker product measurements

open access: yes, 2020
We propose and analyze a solution to the problem of recovering a block sparse signal with sparse blocks from linear measurements. Such problems naturally emerge inter alia in the context of mobile communication, in order to meet the scalability and low ...
Eisert, Jens   +4 more
core   +1 more source

Compressive Massive Random Access for Massive Machine-Type Communications (mMTC)

open access: yes2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2018
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 (CS)-based massive random access scheme for mMTC by leveraging the inherent sporadic traffic, where both the ...
Ke, Malong   +3 more
openaire   +2 more sources

Coverage and Deployment Analysis of Narrowband Internet of Things in the Wild

open access: yes, 2020
Narrowband Internet of Things (NB-IoT) is gaining momentum as a promising technology for massive Machine Type Communication (mMTC). Given that its deployment is rapidly progressing worldwide, measurement campaigns and performance analyses are needed to ...
Alay, Özgü   +6 more
core   +1 more source

Approximations of the aggregated interference statistics for outage analysis in massive MTC [PDF]

open access: yes, 2019
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.
Liesegang Maria, Sergi   +2 more
core   +2 more sources

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