Comparative analysis of soft state and hard state protocols based on hidden Markov model for the application of mobile devices

被引:0
|
作者
Kim, YH [1 ]
Oh, MS [1 ]
Choi, JS [1 ]
机构
[1] LG Elect Inc, Standardizat & Syst Res Gr Mobile Commun Lab, Seoul, South Korea
关键词
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, we analyzed the performance of soft state protocol and hard state protocol based on Hidden Markov Model in the error prone wireless channel, and provided efficient analysis criteria for multimedia wireless applications for various mobile terminals.
引用
收藏
页码:99 / 100
页数:2
相关论文
共 50 条
  • [1] Autoregressive State Prediction Model Based on Hidden Markov and the Application
    Zhao, Zhiguo
    Wang, Yeqin
    Feng, Mengqi
    Peng, Guangqin
    Liu, Jinguo
    Jason, Beth
    Tao, Yukai
    WIRELESS PERSONAL COMMUNICATIONS, 2018, 102 (04) : 2403 - 2416
  • [2] Autoregressive State Prediction Model Based on Hidden Markov and the Application
    Zhiguo Zhao
    Yeqin Wang
    Mengqi Feng
    Guangqin Peng
    Jinguo Liu
    Beth Jason
    Yukai Tao
    Wireless Personal Communications, 2018, 102 : 2403 - 2416
  • [3] Mobile Application Identification based on Hidden Markov Model
    Yang, Xinyan
    Yi, Yunhui
    Xiao, Xinguang
    Meng, Yanhong
    4TH ANNUAL INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATION AND SENSOR NETWORK (WCSN 2017), 2018, 17
  • [4] A comparison of hard-state and soft-state signaling protocols
    Ji, P
    Ge, ZH
    Kurose, J
    Towsley, D
    ACM SIGCOMM COMPUTER COMMUNICATION REVIEW, 2003, 33 (04) : 251 - 262
  • [5] A comparison of hard-state and soft-state signaling protocols
    Ji, Ping
    Ge, Zihui
    Kurose, Jim
    Towsley, Don
    IEEE-ACM TRANSACTIONS ON NETWORKING, 2007, 15 (02) : 281 - 294
  • [6] A Method of the Switchgear State Estimation Based on the Hidden Markov Model
    Chang, Fang-Yuan
    Li, Er-Xia
    Sheng, Wan-Xing
    Kang, Chao-Qun
    2015 International Symposium on Smart Electric Distribution Systems and Technologies (EDST), 2015, : 14 - 19
  • [7] State Based Motion Tracking and Prediction Using a Hidden Markov Model
    Kalet, A.
    Sandison, G.
    Schmitz, R.
    Wu, H.
    MEDICAL PHYSICS, 2010, 37 (06)
  • [8] Face Recognition System Based on Four State Hidden Markov Model
    Ali, Danish
    Touqir, Imran
    Siddiqui, Adil Masood
    Malik, Jabeen
    Imran, Muhammad
    IEEE ACCESS, 2022, 10 : 74436 - 74448
  • [9] State Sequence Analysis in Hidden Markov Models
    Grinberg, Yuri
    Perkins, Theodore J.
    UNCERTAINTY IN ARTIFICIAL INTELLIGENCE, 2015, : 336 - 344
  • [10] Analysis of Mobile Networks’ Protocols Based on Abstract State Machine
    Covino, Emanuele
    Pani, Giovanni
    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2021, 12750 LNCS : 187 - 198