Open AccessSelf-selection Protocol Algorithm for Wireless Networks based on DDQN
Author(s) -
Chongyang Wang,
Hao Yan,
Fan Li
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1871/1/012134
Subject(s) - computer science , heterogeneous network , network simulation , selection algorithm , wireless network , computer network , protocol (science) , selection (genetic algorithm) , throughput , distributed computing , algorithm , network performance , wireless , machine learning , medicine , telecommunications , alternative medicine , pathology
Given the current complex heterogeneous network environment, choosing different networks in different user scenarios limits the effectiveness of network access. To solve this problem, an algorithm based on DDQN is proposed to optimize the network configuration. The reward value is determined by service type, throughput, delay, and signal strength. DDQN can avoid the ping-pong effect that can be generated by network selection and stabilize the network environment by splitting action selection and action evaluation to prevent overestimation. The experimental results show that the algorithm can autonomously select and assign network protocols and can more accurately find network access methods suitable for user scenarios than the current network switching method represented by a single network parameter based on RSSI and CCA.