Results 71 to 80 of about 274,921 (303)
Repetition with Learning Approaches in Massive Machine Type Communications
Electronics, 2022 In the 5G massive machine type communication (mMTC) scenario, user equipment with poor signal quality requires numerous repetitions to compensate for the additional signal attenuation. However, an excessive number of repetitions consumes additional wireless resources, decreasing the transmission rate, and increasing the energy consumption.
Li-Sheng Chen +4 more
openaire +1 more source
Smart Catheters for Diagnosis, Monitoring, and Therapy
Advanced Healthcare Materials, EarlyView.This study presents a comprehensive review of smart catheters, an emerging class of medical devices that integrate embedded sensors, robotics, and communication systems, offering increased functionality and complexity to enable real‐time health monitoring, diagnostics, and treatment. Abstract This review explores smart catheters as an emerging class of
Azra Yaprak Tarman +12 more
wiley +1 more source
Massive unsourced multiple access scheme based on block sequence codebook and compressed sensing
Tongxin xuebao, 2023 A massive unsourced multiple access scheme based on block sequence codebook and compressed sensing was proposed for sporadic burst scenario in massive machine type communication (mMTC).Firstly, a large-capacity spreading codebook generation scheme was ...
Jing ZHANG +3 more
doaj +2 more sources
Analysis of Temporal Robustness in Massive Machine Type Communications
IEEE Internet of Things Journal, 2023 The evolution of fifth generation (5G) networks needs to support the latest use cases, which demand robust network connectivity for the collaborative performance of the network agents, like multi-robot systems and vehicle to anything (V2X) communication.
Debjani Goswami +4 more
openaire +2 more sources
Advanced Healthcare Materials, EarlyView.Implantable optoelectrical devices are an effective resource for the modulation and monitoring of neural activity with high spatiotemporal resolution. This review discusses current challenges faced by these devices and outlines future perspectives for the development of next‐generation neural interfaces targeting chronic, multisite, and multimodal ...
Stella Aslanoglou +4 more
wiley +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
Energy-driven techniques for massive machine-type communications
, 2023 In the last few years, a lot of effort has been put into the development of the fifth generation of cellular networks (5G). Given the vast heterogeneity of devices coexisting in these networks, new approaches have been sought to meet all requirements (e.g., data rate, coverage, delay, etc.).
openaire +4 more sources
Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application
Advanced Materials, EarlyView.This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong +12 more
wiley +1 more source
Towards Massive Connectivity Support for Scalable mMTC Communications in 5G Networks
IEEE Access, 2018 The fifth generation of cellular communication systems is foreseen to enable a multitude of new applications and use cases with very different requirements.
Carsten Bockelmann +18 more
doaj +1 more source
Research on AI based 5G network slice management technology
Dianzi Jishu Yingyong, 2020 5G network slicing supports three major service scenarios including enhanced mobile broadband(eMBB), ultra-reliable low-latency communication(uRLLC), and massive machine-type communication(mMTC).
Xu Dan +3 more
doaj +1 more source