Mobility Prediction for Dynamic Location Area in Cellular Network Using Hidden Markov Model-Reference-Cited by-同舟云学术

Mobility Prediction for Dynamic Location Area in Cellular Network Using Hidden Markov Model

Published:2017-07-21 Issue: Volume: Page:349-355
ISSN:2367-3370
Container-title:Lecture Notes in Networks and Systems
language:
Short-container-title:

Author:

Prajapati Nilesh B.,Kathiriya D. R.

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-10-3953-9_33

Reference23 articles.

1. Mudaliar, K., Swadas, P., Prajapati, N.: Location management for cellular network using ant colony optimization. In: International Conference on Recent Trends on Computer Technology in Academia, 21–23 Apr 2012

2. Mudaliar, K., Prajapati, N.: User based personalization Scheme for dynamic location management. In: International Conference “ICNICT 11” at Karpagam University, Coimbatore, 15–16 Dec 2011

3. Lee, G., Chen, A.L.P.: The design of location regions using user movement behaviors in PCS systems. Multimedia Tools Appl. 15(2), 187–202 (2001)

4. Markande, S.D., Bodhe, S.K.: Cartesian coordinate system based dynamic location management scheme. Int. J. Electron. Eng. Res. 2 (2009)

5. Sricharan, M.S., Vaidehi, V.: A dynamic distance based location management strategy utilizing user profiles for next generation wireless networks. In: First International Conference on Industrial and Information Systems, ICIIS2006, 8–11 Aug 2006, Sri Lanka

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. SE-GRU: Structure Embedded Gated Recurrent Unit Neural Networks for Temporal Link Prediction;IEEE Transactions on Network Science and Engineering;2022-07-01

2. Artificial intelligence‐based novel scheme for location area planning in cellular networks;Computational Intelligence;2020-07-15

3. Adaptive Multiple Non-negative Matrix Factorization for Temporal Link Prediction in Dynamic Networks;Proceedings of the 2018 Workshop on Network Meets AI & ML - NetAI'18;2018