Results 61 to 70 of about 898 (161)

Early-detection scheme based on sequential tests for low-latency communications

EURASIP Journal on Wireless Communications and Networking, 2023
We propose an early-detection scheme to reduce communications latency based on sequential tests under finite blocklength regime for a fixed-rate transmission without any feedback channel.
Diego Barragán-Guerrero, Minh Au, Ghyslain Gagnon, François Gagnon, Pascal Giard   +4 more
doaj   +1 more source

A Finite-Blocklength Analysis for ORBGRAND

CoRR
Within the Guessing Random Additive Noise Decoding (GRAND) family, ordered reliability bits GRAND (ORBGRAND) has received considerable attention for its hardware-friendly exploitation of soft information. Existing information-theoretic results for ORBGRAND are asymptotic in blocklength and do not quantify its performance at short-to-moderate ...
Zhuang Li, Wenyi Zhang
openaire   +2 more sources

Stability of a TDMA Network Subject to Finite Blocklength Constraints

, 2019
Recent advances in information theory have provided a novel framework regarding finite blocklength analysis, which can be employed to address the current and future demands of communication networks.
Constantinos Psomas, Kourtellaris, Christos, Ioannis Krikidis, Psomas, Constantinos, Christos K. Kourtellaris, Krikidis, Ioannis   +5 more
core   +1 more source

On the Coexistence of eMBB and URLLC in Multi-Cell Massive MIMO

IEEE Open Journal of the Communications Society, 2023
The non-orthogonal coexistence between the enhanced mobile broadband (eMBB) and the ultra-reliable low-latency communication (URLLC) in the downlink of a multi-cell massive MIMO system is rigorously analyzed in this work. We provide a unified information-
Giovanni Interdonato, Stefano Buzzi, Carmen D'Andrea, Luca Venturino, Ciro D'Elia, Paolo Vendittelli   +5 more
doaj   +1 more source

Finite Blocklength and Dispersion Bounds for the Arbitrarily- Varying Channel

, 2018
Finite blocklength and second-order (dispersion) results are presented for the arbitrarily-varying channel (AVC), a classical model wherein an adversary can transmit arbitrary signals into the channel.
Oliver Kosut, Kliewer, Jorg, Jorg Kliewer, Kosut, Oliver   +3 more
core   +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

Closed‐Form Approximation of Average Error Probability With Finite‐Blocklength Coding Over Lognormal Wireless Communication Links

IET Communications, Volume 20, Issue 1, January/December 2026.
This work extends the Polyanskiy‐Poor‐Verdu (PPV) framework to lognormal wireless links. Specifically, the paper derives a closed‐form approximation for the average error probability under lognormal distribution, effectively generalizing the PPV analysis beyond the additive white Gaussian noise assumption.
Peng Du, Yuan Zhang
wiley   +1 more source

ARQ-Enhanced Short-Packet NOMA Communications with STAR-RIS

Telecom
To address the rigorous requirements of ultra-reliable low-latency communication (URLLC) in beyond 5G/6G networks, we propose an innovative architecture combining automatic repeat request (ARQ) protocol with a simultaneously transmitting and reflecting ...
Zhipeng Wang, Jin Li, Shuai Zhang, Dechuan Chen   +3 more
doaj   +1 more source

Multiple Access Integrated Adaptive Finite Blocklength for Ultra-Low Delay in 6G Wireless Networks

, 2023
Facing the dramatic increase of real-time applications and time-sensitive services, large-scale ultra-low delay requirements are put forward for the sixth generation (6G) wireless networks. To support massive ultra-reliable and low-latency communications
Wei Zhang, Zhang, Wei, Yixin Zhang, Cheng, Wenchi, Zhang, Yixin, Wenchi Cheng   +5 more
core   +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