Fuzzy C-Means Clustering based Dynamic Spectrum Allocation in Mobile Communication

Authors

  • Ganesan R  Department of ECE, Bharathiyar College of Engineering & Technology, Karaikal, Puducherry, India
  • Pradeep S  Department of ECE, Bharathiyar College of Engineering & Technology, Karaikal, Puducherry, India

Keywords:

Mobile Communication, Macro Cells, Spectrum Allocation, Spectrum Sharing, Fuzzy C-Means Clustering

Abstract

In mobile networks, the efficiency of a point-to-point communication link has several limitations. The only way to improve the network capacity is by node density. This research discusses similar issues in current LTE macro based system. In existing system, the spectrum efficiency utilization is made by handling the traffic for indoor users to reduce the load on macro cells. Traditionally, the Dynamic Spectrum Allocation (DSA) aims to increase the capacity and to reduce the interference by (de)activating the available LTE frequency carriers. To avoid such issues we need to allocate the spectrum dynamically with respect to the user demand. To implement this several current survey is made and a new spectrum allocation is proposed. It is based on evaluating the DSA potential of achieving some improvement and to identify the traffic conditions. In this proposed scheme, the spectrum sharing has processed and identified throughout by using Fuzzy C-Means (FCM) clustering algorithm. It is named as Fuzzy C-Means Clustering based Dynamic Spectrum Allocation (FCM-DSA). The experimental results prove that the proposed scheme attains maximum throughput of 105Mbps when comparing with traditional adaptive co-existence spectrum sharing schemes.

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2018-04-28

Issue

Volume 5, Issue 3, March-April-2018

Section

Research Articles

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How to Cite

[1]
Ganesan R, Pradeep S, " Fuzzy C-Means Clustering based Dynamic Spectrum Allocation in Mobile Communication, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 5, Issue 3, pp.67-75, March-April-2018.