scispace - formally typeset
Journal ArticleDOI

Channel Coding Rate in the Finite Blocklength Regime

Reads0
Chats0
TLDR
It is shown analytically that the maximal rate achievable with error probability ¿ isclosely approximated by C - ¿(V/n) Q-1(¿) where C is the capacity, V is a characteristic of the channel referred to as channel dispersion, and Q is the complementary Gaussian cumulative distribution function.
Abstract
This paper investigates the maximal channel coding rate achievable at a given blocklength and error probability. For general classes of channels new achievability and converse bounds are given, which are tighter than existing bounds for wide ranges of parameters of interest, and lead to tight approximations of the maximal achievable rate for blocklengths n as short as 100. It is also shown analytically that the maximal rate achievable with error probability ? isclosely approximated by C - ?(V/n) Q-1(?) where C is the capacity, V is a characteristic of the channel referred to as channel dispersion , and Q is the complementary Gaussian cumulative distribution function.

read more

Content maybe subject to copyright    Report

Citations
More filters
Journal ArticleDOI

Downlink Transmission of Short Packets: Framing and Control Information Revisited

TL;DR: In this paper, the authors revisit the principles of frame design and show the impact of the new design in scenarios that feature short data packets, which are central to various 5G and Internet of Things applications.
Journal ArticleDOI

Experienced Deep Reinforcement Learning With Generative Adversarial Networks (GANs) for Model-Free Ultra Reliable Low Latency Communication

TL;DR: In this paper, a novel experienced deep reinforcement learning (deep-RL) framework is proposed to provide model-free resource allocation for ultra reliable low latency communication (URLLC-6G) in the downlink of a wireless network.
Proceedings ArticleDOI

Toward fast reliable communication at rates near capacity with Gaussian noise

TL;DR: For the additive Gaussian noise channel with average codeword power constraint, sparse superposition codes and adaptive successive decoding is developed, a feasible decoding algorithm is presented.
Journal ArticleDOI

One shot entanglement assisted classical and quantum communication over noisy quantum channels: A hypothesis testing and convex split approach.

TL;DR: This work provides a tight characterization of the one-shot entanglement-assisted classical capacity of a quantum channel by introducing a simple decoding technique which is referred to as position-based decoding and uses the recently introduced convex split technique in addition to position- based decoding.
Journal ArticleDOI

Joint Transmit Power and Placement Optimization for URLLC-Enabled UAV Relay Systems

TL;DR: This letter considers an unmanned aerial vehicle (UAV)-enabled relay communication system for delivering latency-critical messages with ultra-high reliability, where the relay is operating under amplifier-and-forward (AF) mode, and proposes a low-complexity iterative algorithm to solve the problem.
References
More filters
Journal ArticleDOI

A mathematical theory of communication

TL;DR: This final installment of the paper considers the case where the signals or the messages or both are continuously variable, in contrast with the discrete nature assumed until now.

An Introduction To Probability Theory And Its Applications

TL;DR: A First Course in Probability (8th ed.) by S. Ross is a lively text that covers the basic ideas of probability theory including those needed in statistics.