DeepAI AI Chat
Log In Sign Up

Real Entropy Can Also Predict Daily Voice Traffic for Wireless Network Users

by   Sihai Zhang, et al.

Voice traffic prediction is significant for network deployment optimization thus to improve the network efficiency. The real entropy based theorectical bound and corresponding prediction models have demonstrated their success in mobility prediction. In this paper, the real entropy based predictability analysis and prediction models are introduced into voice traffic prediction. For this adoption, the traffic quantification methods is proposed and discussed. Based on the real world voice traffic data, the prediction accuracy of N-order Markov models, diffusion based model and MF model are presented, among which, 25-order Markov models performs best and approach close to the maximum predictability. This work demonstrates that, the real entropy can also predict voice traffic well which broaden the understanding on the real entropy based prediction theory.


page 1

page 2

page 3

page 4


Adversarial Diffusion Attacks on Graph-based Traffic Prediction Models

Real-time traffic prediction models play a pivotal role in smart mobilit...

An Empirical Study on Internet Traffic Prediction Using Statistical Rolling Model

Real-world IP network traffic is susceptible to external and internal fa...

QTIP: Quick simulation-based adaptation of Traffic model per Incident Parameters

Current data-driven traffic prediction models are usually trained with l...

Sequence-to-sequence Singing Voice Synthesis with Perceptual Entropy Loss

The neural network (NN) based singing voice synthesis (SVS) systems requ...

An Empirical Study on End-to-End Singing Voice Synthesis with Encoder-Decoder Architectures

With the rapid development of neural network architectures and speech pr...

GridTuner: Reinvestigate Grid Size Selection for Spatiotemporal Prediction Models [Technical Report]

With the development of traffic prediction technology, spatiotemporal pr...

Temporal Characterization of XR Traffic with Application to Predictive Network Slicing

Over the past few years, eXtended Reality (XR) has attracted increasing ...