DOI QR코드

DOI QR Code

Adaptive QoS Mechanism for Wireless Mobile Network

  • Kim, Kwang-Sik (Department of Information Sciences, Tokyo University of Information Sciences) ;
  • Uno, Shintaro (Department of Graduate Program in System for Intellectual Creation, Graduate School of Engineering, Kanazawa Institute of Technology) ;
  • Kim, Moo-Wan (Department of Information Sciences Tokyo University of Information Science)
  • 투고 : 2010.03.22
  • 심사 : 2010.06.07
  • 발행 : 2010.06.30

초록

Wireless mobile multimedia communications have been greatly increased in the number of users, diversity of applications and interface technologies. Wireless mobile networks are being evolved and integrated into IP based core network, so it is necessary to provide sufficient QoS (Quality of Service) mechanism to provide enhanced user's satisfaction. In this paper, we propose a new adaptive QoS mechanism based on utility function borrowed from the field of microeconomics, call setup and handover signaling mechanism integrating QoS and mobility management. Through a simulation, we show that adaptive resource allocation based on user preferences can be realized in the wireless mobile network with some considerations.

키워드

피인용 문헌

  1. QoS provisioning wireless multimedia transmission over cognitive radio networks vol.67, pp.1, 2013, https://doi.org/10.1007/s11042-011-0937-4
  2. Sensor Communication Rate Control Scheme Based on Inference Game Approach vol.2015, 2015, https://doi.org/10.1155/2015/127349
  3. Smart grid cooperative communication with smart relay vol.14, pp.6, 2012, https://doi.org/10.1109/JCN.2012.00030
  4. Research on energy efficient fusion-driven routing in wireless multimedia sensor networks vol.2011, pp.1, 2011, https://doi.org/10.1186/1687-1499-2011-142
  5. R-learning-based team game model for Internet of things quality-of-service control scheme vol.13, pp.1, 2017, https://doi.org/10.1177/1550147716687558
  6. Convex optimization framework for intermediate deadline assignment in soft and hard real-time distributed systems vol.85, pp.10, 2012, https://doi.org/10.1016/j.jss.2012.04.050
  7. eMCCA: An enhanced mesh coordinated channel access mechanism for IEEE 802.11s wireless mesh networks vol.13, pp.6, 2011, https://doi.org/10.1109/JCN.2011.6157481
  8. Learning based bandwidth management algorithms by using bargaining and fictitious play approaches vol.73, 2014, https://doi.org/10.1016/j.comnet.2014.08.001
  9. A better-performing Q-learning game-theoretic distributed routing for underwater wireless sensor networks vol.14, pp.1, 2018, https://doi.org/10.1177/1550147718754728
  10. A New Differential Privacy Crowdsensing Scheme Based on the Multilevel Interactive Game vol.2018, pp.1530-8677, 2018, https://doi.org/10.1155/2018/9867061
  11. An Effective Sensor Cloud Control Scheme Based on a Two-Stage Game Approach vol.6, pp.2169-3536, 2018, https://doi.org/10.1109/ACCESS.2018.2815578
  12. 5G Network Communication, Caching, and Computing Algorithms Based on the Two-Tier Game Model vol.40, pp.1, 2018, https://doi.org/10.4218/etrij.2017-0023
  13. New dual-game-based cooperative bandwidth control scheme for ultra-dense networks pp.1572-8196, 2019, https://doi.org/10.1007/s11276-019-01961-4
  14. A New Multicasting Device-to-Device Communication Control Scheme for Virtualized Cellular Networks vol.2019, pp.1530-8677, 2019, https://doi.org/10.1155/2019/3540674
  15. Novel Resource Allocation Algorithms for the Social Internet of Things Based Fog Computing Paradigm vol.2019, pp.1530-8677, 2019, https://doi.org/10.1155/2019/3065438