Results 21 to 30 of about 118 (109)

Unit root testing with slowly varying trends

Journal of Time Series Analysis, Volume 42, Issue 1, Page 85-106, January 2021., 2021
A unit root test is proposed for time series with a general nonlinear deterministic trend component. It is shown that asymptotically the pooled OLS estimator of overlapping blocks filters out any trend component that satisfies some Lipschitz condition.
Sven Otto
wiley   +1 more source

Resource allocation for ultra-reliable low latency communications in sparse code multiple access networks

EURASIP Journal on Wireless Communications and Networking, 2018
In this paper, we propose an optimal resource allocation policy for sparse code multiple access (SCMA) networks supporting ultra-reliable low-latency communications (URLLC).
Qinwei He, Yulin Hu, Anke Schmeink
doaj   +1 more source

Guest editorial: Ultra reliable and low‐latency communications

, 2022
IET Signal Processing, Volume 16, Issue 8, Page 883-884, October 2022.
Khoa N. Le, Derrick Wing Kwan Ng, Zhiguo Ding   +2 more
wiley   +1 more source

Spectrum Sharing Network With Wireless Energy Harvesting at Finite Blocklength Regime

IEEE Access, 2018
In this paper, a spectrum sharing communication system with wireless energy harvesting is investigated at finite blocklength regime over Rayleigh quasi-static block-fading channels. We analyze the error probability and average delay of the secondary user
Baogang Li, Ruonan Dong, Binyang Yan, Wei Zhao   +3 more
doaj   +1 more source

Ultra Reliable Communication via Optimum Power Allocation for HARQ Retransmission Schemes

IEEE Access, 2020
In this work, we develop low complexity, optimal power allocation algorithms that would allow ultra reliable operation at any outage probability target with minimum power consumption in the finite blocklength regime by utilizing Karush-Kuhn-Tucker (KKT ...
Endrit Dosti, Mohammad Shehab, Hirley Alves, Matti Latva-Aho   +3 more
doaj   +1 more source

Reliability-Oriented Design Framework in NOMA-Assisted Mobile Edge Computing

IEEE Access, 2022
In this paper, we consider mission-critical task offloading in the non-orthogonal multiple access (NOMA)-assisted mobile edge computing (MEC) networks, where local information collected from multiple local devices are processed at the MEC node.
Zhilin Liu, Yao Zhu, Yulin Hu, Peng Sun, Anke Schmeink   +4 more
doaj   +1 more source

When Asymmetry Helps: Joint Power and Blocklength Optimization for Non-Orthogonal Multiple Access in Downlink Communications

IEEE Open Journal of the Communications Society
This paper investigates downlink non-orthogonal multiple access (NOMA) in short-packet communications, specifically focusing on a scenario where an Access Point (AP) serves two users with varying channel conditions.
Haifa Fares, Remi Bonnefoi, Johnny Wakim, Yassine El Lamti   +3 more
doaj   +1 more source

Multidimensional Constellation Design Based on Geometric Shaping for MISO VLC With Per-LED Optical Power Constraints

IEEE Photonics Journal
Visible light communication (VLC) integrates illumination and communication, offering significant potential for 6G mobile communications. In 6G communications, reliability and low latency are critical.
Bo Gao, Jia-Ning Guo, Jian Zhang, Yan-Yu Zhang, Dun Li   +4 more
doaj   +1 more source

Performance Evaluation of HARQ Schemes for the Internet of Things

Computers, 2018
Hybrid Automatic Repeat reQuest (HARQ) techniques are widely employed in the most important wireless systems, e.g., the Long Term Evolution (LTE) cellular standard, to increase the reliability of the communication.
Lorenzo Vangelista, Marco Centenaro
doaj   +1 more source

A Constrained Deep Reinforcement Learning Framework for Beamforming Optimization With QoS Guarantees in RIS‐Assisted Symbiotic Radio Networks

IET Communications, Volume 20, Issue 1, January/December 2026.
To address the complex constrained optimization in time‐varying reconfigurable intelligent surface–assisted symbiotic radio networks, this paper proposes a novel deep reinforcement learning (DRL) approach integrating Lagrange dual optimization into deep deterministic policy gradient framework.
Jing Li, Wei Zhang, Jian Ma, Guoyun Cao, Yunfei Chen, Feihong Chu, Li Chen   +6 more
wiley   +1 more source