A Novel Dynamic Bandwidth Allocation Model for Energy Efficient Multi-beam STICS Networks
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International Journal of Engineering Trends and Technology (IJETT) |  |
| © 2014 by IJETT Journal | ||
| Volume-12 Number-5 |
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| Year of Publication : 2014 | ||
| Authors : Ramya Ranjan Choudhury , Md Rizwan Khan |
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 10.14445/22315381/IJETT-V12P246 |
Citation
Ramya Ranjan Choudhury , Md Rizwan Khan. "A Novel Dynamic Bandwidth Allocation Model for Energy Efficient Multi-beam STICS Networks", International Journal of Engineering Trends and Technology (IJETT), V12(5),237-241 June 2014. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
Abstract
Dynamic bandwidth allocation, keeping in view of energy efficiency is the utmost solutions to achieve flexible and efficient satellite based cellular networks. This would be helpful for communicating with anywhere and with anyone with global coverage. In this research article it is proposed that the assignment of bandwidth must be dynamic for this energy efficient mobile-satellite integrated system since user capacity demand is going to double by 2020. The model for such assignment is chosen in terms of obtaining energy efficiency thereby conducting measurement of interference. For this the quality of service on the basis of link control of threshold for a spectrum must be known. A pattern with frequency reuse ratio of 1 and 3 is selected consecutively keeping the fixed access satellites constant for the evaluation of energy efficient STICS systems. If the quality of link obtained from proposed model is maintained greater than blocking rate the frequency reuse would be unity. But in ideal case we can say that bandwidth requirement for quite large users can be sustained by implementing the model described in this paper
References
[1] Yuan Raoa, Jun Zhua, Chang-an Yuanb, Zhao-hui Jianga, Lei-yang Fua, Xing Shaoc, Ru-chuan Wangc, “Agent-based Multi-Service Routing for Polar-orbit LEO broadband satellite networks”, Elsevier Journal of Ad Hoc Networks, Volume 13, Part B, February 2014, Pages 575–597
[2] O.K.Sahingoz, “Large scale wireless sensor networks with multi-level dynamic key management scheme”, Elsevier Journal of Systems Architecture,Volume 59, Issue 9, October 2013, Pages 801–807
[3] Mirette Sadek, "Personal Satellite Communication : Technologies and Challenges"IEEE Wireless Communication Magazine, December 2012.
[4] M. Umehira and F. Naito, “Centralized Dynamic Channel Assignment Schemes for Multi-beam Mobile Satellite Communications Systems,” AIAA ICSSC2012, 24-27 September 2012, Ottawa, Canada.
[5] M.Umehira, S.Fujita, Z.Gao, J.Wang, "Dynamic Channel Assignment Based on Interference Measurement with Threshold for Multi-beam Mobile Satellite Networks" IEEE 19th Asia-Pacific Conference on Communications (APCC),Bali - Indonesia, 2013
[6] T.Pratt, C.Bostian, Jeremy Allnut, Satellite Communications[M], 2nd Ed., John Wiley & Sons, 2006
[7] J. Park, D. Ahn, H. Lee, and D. Park, “Feasibility of Coexistence of Mobile-Satellite Service and Mobile Service in Cofrequency Bands,” ETRI Journal, Vol. 32, Number 2, April 2010.
[8] http://www.lightsquared.com/satellite-services/services/
[9] F.D.Kronewitter, Bo Ryu, Zhensheng Zhang, Ma Liangping ,“TCP accelerator for DVB-RCS SATCOM dynamic bandwidth environment with HAIPE”, IEEE Journal ofCommunications and Networks, Volume: 13, Issue: 5, 2011, Page(s): 518 – 524
[10] T.Yamazato, T.Ama n, M.Katayama, “Dynamic Bandwidth Allocation of Satellite/Terrestrial Integrated Mobile Communication System”, Global Telecommunications Conference (GLOBECOM 2010), IEEE 2010 .
[11] S.P Tiwari, P .Shanmugam, “An Evaluation of Models for the Satellite-Estimation of Phytoplankton Absorption Coefficients in Coastal/ Oceanic Waters”, Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of Volume: 7, Issue: 1,2014, Page(s): 364 – 371.
[12] M. Cheffena, F.P. Fontan, F. Lacoste, E. Corbel, H. Mametsa, G.Carrie, “Land Mobile Satellite Dual Polarized MIMO Channel along Roadside Trees: Modeling and Performance Evaluation”, Antennas and Propagation, IEEE Transactions Volume: 60, Issue: 2, Part: 1,2012, Page(s): 597 - 605
[13] M.A Upadhyay, D.K.Kothari, “Optimal resource allocation techniques for Cooperative AF and DF wireless networks” Signal Processing and Integrated Networks (SPIN), 2014 International Conference 2014, Page(s): 382 – 387.
[14] A.R Dhaini, P.H. Ho, G. Shen, B.Shihada, “Energy Efficiency in TDMA-Based Next-Generation Passive Optical Access Networks” IEEE/ACM Transactions on Networking, Volume: 22, Issue: 3,2014, Page(s): 850 – 863
[15] Wansu Lim, P. Kourtessis, K Kanonakis, M. Milosavljevic, I. Tomkos, J.M.Senior, “Dynamic Bandwidth Allocation in Heterogeneous OFDMA-PONs Featuring Intelligent LTE-A Traffic Queuing”, Journal of Light wave Technology, Volume: 32 , Issue: 10,2014 , Page(s): 1877 – 1885
[16] http://virtual-labs.ac.in/cse28/ant/ant/4/simulation/
Keywords
STICS, MSS, Dynamic bandwidth, frequency reuse, beam-forming, blocking rate, traffic ratio.