Coverage and Deployment Analysis of Narrowband Internet of Things in the Wild
, 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
Massive MIMO for Internet of Things (IoT) Connectivity
, 2019 Massive MIMO is considered to be one of the key technologies in the emerging 5G systems, but also a concept applicable to other wireless systems. Exploiting the large number of degrees of freedom (DoFs) of massive MIMO essential for achieving high ...
Abrão, Taufik +6 more
core +1 more source
Massive machine-type communications in 5g: physical and MAC-layer solutions [PDF]
IEEE Communications Magazine, 2016 Machine-type communications (MTC) are expected to play an essential role within future 5G systems. In the FP7 project METIS, MTC has been further classified into "massive Machine-Type Communication" (mMTC) and "ultra-reliable Machine-Type Communication" (uMTC).
Bockelmann, Carsten +7 more
openaire +3 more sources
Deep Reinforcement Learning-Based Multi-Access in Massive Machine-Type Communication
IEEE AccessThe diverse applications of Machine-Type Communication (MTC) lead to exponential growth in Machine to Machine traffic. In connection with MTC deployment, a large number of devices are expected to access the wireless network simultaneously, resulting in ...
Nasim Ravi +3 more
doaj +1 more source
Massive MIMO is a Reality -- What is Next? Five Promising Research Directions for Antenna Arrays
, 2019 Massive MIMO (multiple-input multiple-output) is no longer a "wild" or "promising" concept for future cellular networks - in 2018 it became a reality.
Björnson, Emil +4 more
core +1 more source
Digital twins to accelerate target identification and drug development for immune‐mediated disorders
FEBS Open Bio, EarlyView.Digital twins integrate patient‐derived molecular and clinical data into personalised computational models that simulate disease mechanisms. They enable rapid identification and validation of therapeutic targets, prediction of drug responses, and prioritisation of candidate interventions.
Anna Niarakis, Philippe Moingeon
wiley +1 more source
Learning Random Access Schemes for Massive Machine-Type Communication With MARL
IEEE Transactions on Machine Learning in Communications and NetworkingThis paper investigates various multi-agent reinforcement learning (MARL) techniques for designing grant-free random access (RA) schemes suitable for low-complexity, low-power battery-operated devices in massive machine-type communication (mMTC ...
Muhammad Awais Jadoon +3 more
doaj +1 more source
User Activity Detection in Massive Random Access: Compressed Sensing vs. Coded Slotted ALOHA
, 2017 Machine-type communication services in mobile cel- lular systems are currently evolving with an aim to efficiently address a massive-scale user access to the system. One of the key problems in this respect is to efficiently identify active users in order
Boljanovic, Veljko +3 more
core +1 more source
Atomic Layer Deposition in Transistors and Monolithic 3D Integration
Advanced Functional Materials, EarlyView.Transistors are fundamental building blocks of modern electronics. This review summarizes recent progress in atomic layer deposition (ALD) for the synthesis of two‐dimensional (2D) metal oxides and transition‐metal dichalcogenides (TMDCs), with particular emphasis on their enabling role in monolithic three‐dimensional (M3D) integration for next ...
Yue Liu +5 more
wiley +1 more source
Dynamic RACH Partition for Massive Access of Differentiated M2M Services
Sensors, 2016 In machine-to-machine (M2M) networks, a key challenge is to overcome the overload problem caused by random access requests from massive machine-type communication (MTC) devices.
Qinghe Du +5 more
doaj +1 more source