Analysis of Spectral Efficiency in OFDMA Fem to Cell Networks
Swapna P. S1, Susan R. J2, Sakuntala S. Pillai3

1Swapna P. S, Department of Electronics and Communication Engineering, Mar Baselios College of Engineering and Technology, Trivandrum (Kerala), India.
2Susan R. J, Department of Electronics and Communication Engineering, College of Engineering and Technology, Trivandrum (Kerala), India.
3Sakuntala S. Pillai, Department of Electronics and Communication Engineering, Mar Baselios College of Engineering and Technology, Trivandrum (Kerala), India.

Manuscript received on 15 February 2016 | Revised Manuscript received on 25 February 2016 | Manuscript Published on 28 February 2016 | PP: 132-135 | Volume-5 Issue-3, February 2016 | Retrieval Number: C4449025316/16©BEIESP
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Orthogonal Frequency Division Multiple Access (OFDMA) is a promising multiple access technique for next generation wireless communication such as WiMAX, LTE, IMT-A etc because of its high spectral efficiency and inherent robustness against frequency selective fading. Recently fem to cell has been proposed for indoor coverage extension and to reduce traffic within macrocells. Fem to cells are deployed in an ad-hoc manner by different consumers in the same frequency band, causing interference with each other. To fully realize the potential of these networks, it is necessary to allocate resources to them in such a way that interference is mitigated. This work aims to improve the performance of uplink OFDMA fem to cell networks by joint subchannel and power allocation. Joint subchannel and power allocation using Hungarian and water filling algorithm performs better than the existing fem to cell resource allocation algorithms with respect to spectral efficiency.
Keywords: Orthogonal Frequency Division Multiple Access (OFDMA); Femtocell; Resource Allocation; Subchannel Allocation; Power Allocation.

Scope of the Article: Frequency Selective Surface