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Found 13 papers, 1 papers with code
Age of Information in Multi-Relay Networks with Maximum Age Scheduling
The latter two algorithms are newly proposed to let relays decide which one(s) will transmit in a given time slot, requiring less signaling than the former algorithms.
Probabilistic Allocation of Payload Code Rate and Header Copies in LR-FHSS Networks
We evaluate the performance of the LoRaWAN Long-Range Frequency Hopping Spread Spectrum (LR-FHSS) technique using a device-level probabilistic strategy for code rate and header replica allocation.
Reinforcenment Learning-Aided NOMA Random Access: An AoI-Based Timeliness Perspective
In this paper, we investigate the age-of-information (AoI) of a power domain non-orthogonal multiple access (NOMA) network, where multiple internet-of-things (IoT) devices transmit to a common gateway in a grant-free random fashion.
Non-Orthogonal Multiple-Access Strategies for Direct-to-Satellite IoT Networks
Comparing FTP and CTP with regular ALOHA for 100 (600) devices, we find goodput improvements of 65% (29%) and 52% (101%), respectively.
On the Spectral Efficiency of Movable and Rotary Antenna Arrays under Rician Fading
We also analyze the performance of a system in which the array is able to both move and rotate.
Distributed MIMO Networks with Rotary ULAs for Indoor Scenarios under Rician Fading
Nevertheless, current 5G networks cannot fully meet the very stringent requirements regarding latency, reliability, and number of connected devices of most MTC use cases.
Energy-Aware Federated Learning with Distributed User Sampling and Multichannel ALOHA
Distributed learning on edge devices has attracted increased attention with the advent of federated learning (FL).
Performance Analysis of ML-based MTC Traffic Pattern Predictors
Herein, we assess the performance of several machine learning (ML) methods to predict Poisson and quasi-periodic MTC traffic in terms of accuracy and computational cost.
Energy-Efficient Wake-Up Signalling for Machine-Type Devices Based on Traffic-Aware Long-Short Term Memory Prediction
Reducing energy consumption is a pressing issue in low-power machine-type communication (MTC) networks.
Statistical Analysis of Received Signal Strength in Industrial IoT Distributed Massive MIMO Systems
The Fifth Generation (5G) of wireless networks introduced native support for Machine-Type Communication (MTC), which is a key enabler for the Internet of Things (IoT) revolution.
Network Slicing for eMBB and mMTC with NOMA and Space Diversity Reception
In this work we study the coexistence in the same Radio Access Network (RAN) of two generic services present in the Fifth Generation (5G) of wireless communication systems: enhanced Mobile BroadBand (eMBB) and massive Machine-Type Communications (mMTC).
Non-Orthogonal Multiple Access and Network Slicing: Scalable Coexistence of eMBB and URLLC
The diverse requirements of these services in terms of data-rates, number of connected devices, latency and reliability can lead to a sub-optimal use of the 5G network, thus network slicing is proposed as a solution that creates customized slices of the network specifically designed to meet the requirements of each service.
Hybrid Coded Replication in LoRa Networks
Low Power Wide Area Networks (LPWAN) are wireless connectivity solutions for Internet-of-Things (IoT) applications, including industrial automation.
Networking and Internet Architecture Signal Processing
