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Fallback to SRB for Network Optimization in Small Cells
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 173 - Number 6 |
| Year of Publication: 2017 |
| Authors: Rajkiran S. N. |
10.5120/ijca2017915337
|
Rajkiran S. N. . Fallback to SRB for Network Optimization in Small Cells. International Journal of Computer Applications. 173, 6 ( Sep 2017), 27-31. DOI=10.5120/ijca2017915337
Abstract
In this modern era computers and mobile phones are the major mode of communication. Due to the rapid development in mobile phone technology, which leads to smart phones with tremendous applications installed on it. This made wide impacts in our business as well as social lives. The advancement of new generation smartphones are capable of handling both voice and data service simultaneously in a cellular network through the same antenna. This requires better radio connectivity compare to voice alone service. This paper converses the concepts of Fallback to Signaling Radio Bearers for network optimization in Macro cell deployments and Small-Cells which includes Femto, Pico and Micro cells. It discusses the advantages of using Fallback to Signaling Radio Bearers (Fb-SRB) over the NBAP (Node B Application Part) signaling mechanism executed to camp-on to the network and macro-cell based as well. It also talks about the factors improving the performance of Fallback to Signaling Radio Bearers (Fb-SRB).
References
- Shan Zhou, Jie Yang, etal. “Proactive Call Drop Avoidance in UMTS Networks”,32nd IEEE Conference on Computer Communications, IEEE INFOCOM 2013 - Turin, Italy, 2013, page(s): 425-429.
- Nathaniel S. Tarkaa, Joseph M. Mom, Cosmas I. Ani “Drop Call Probability Factors in Cellular Networks”. International Journal of Scientific & Engineering Research Volume 2, Issue 10, October-2011
- I. Tanaka, T. Koshimizu, and K. Nishida, “CS fallback function for combined LTE and 3G circuit switched services,” NTT Docomo Technical Journal, vol. 11, no. 3, 2009, page(s): 13–19.
- Rajkiran. S. N and Arunlal. K. S, “Maximum Likelihood Trellis Decoder for Golay Codes with Puncturing and Shortening for MIMO in HSPA+”, International Journal of Science and Research (IJSR), Volume 4 Issue 8, August 2015, on page(s):303-306.
- Y. Jin, N. Duffield, J. Erman, P. Haffner, S. Sen, and Z.-L. Zhang, “A modular machine learning system for flow-level traffic classification in large networks,” ACM Trans. Knowl. Discov. Data, vol. 6, no. 1, Mar. 2012pp. 4:1–4:34
- Saowaphak Sasanus and David Tipperl, “Impact of Signaling Load on the UMTS Call Blocking/Dropping”, Telecommunications Program, School of Information Sciences University of Pittsburgh
- W. Song and W. Zhuang, “Multi-Service Load Sharing for Resource Management in the Cellular/WLAN Integrated Network,” IEEE Transaction on Wireless Communication, 8, No 2., pp 725-735, Feb 2009.
- Prashant Shrivastava, Dr.(Mrs) Poonam Sinha,” Reducing Call Drops Due to Cell Failure” International Journal Of Engineering And Computer Science ISSN:2319-7242 Volume – 5 Issue -02 February, 2016
- Udeh I.J, Offia I.S, Ibekwe Minimization of Call Drop In Code Division Multiple Access 2000IX in 3G Wireless Networks, International Journal of Scientific & Engineering Research, Volume 5, Issue 10, October-2014.
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