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Stream/Area:
-
Subject:
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Paper ID:
IJSREM62238
Volume:
10 |
4 |
April 2026
Pages:
1-7
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Department of Electronics and Communication
Alpine institute of technology and science
Department of Electronics and Communication
Alpine institute of technology and science
The pursuit of high-capacity wireless networks has intensified research into optimized multicarrier modulation schemes and FM-OFDM has attracted notice for its ability to provide a constant envelope while improving its defence against nonlinear distortions [6][19]. However, FM-OFDM creates an uneven noise profile across subcarriers, lowering total system performance [20]. Conventional power allocation methods, such as [ Emphasis Filter Equivalent] EFE and [Modified Waterfilling] MWF, improve performance but their biggest drawback is that they operate on fixed rules i.e they are not dynamic and can’t adapt to real changes.[20]. This paper introduces a dynamic hybrid power allocation method that modulates the balance between EFE and MWF in response to fluctuating SNR levels. Simulation results demonstrate that the proposed approach achieves superior Bit Error Rate (BER) performance and maintains high spectral efficiency over a wide range of SNR values.
KEYWORDS
An adaptive hybrid power allocation scheme for FM-OFDM systems has been presented .By dynamically combining EFE and MWF techniques, the proposed method effectively addresses the limitations of existing static approaches[20]. Simulation results demonstrate significant improvements in both BER and spectral efficiency across varying SNR conditions. The proposed scheme offers a practical solution for enhancing the performance of future wireless communication systems.
[1] C. E. Shannon, “Communication in the presence of noise,” Proceedings of the IRE, vol. 37, no. 1, pp. 10–21, Jan. 1949. [2] R. W. Chang, “Synthesis of band-limited orthogonal signals for multichannel data transmission,” Bell System Technical Journal, vol. 45, no. 10, pp. 1775–1796, Dec. 1966. [3] S. B. Weinstein and P. M. Ebert, “Data transmission by frequency-division multiplexing using the discrete Fourier transform,” IEEE Transactions on Communication Technology, vol. 19, no. 5, pp. 628–634, Oct. 1971. [4] L. J. Cimini Jr., “Analysis and simulation of a digital mobile channel using orthogonal frequency division multiplexing,” IEEE Transactions on Communications, vol. 33, no. 7, pp. 665–675, July 1985. [5] J. G. Proakis and M. Salehi, Digital Communications, 5th ed. New York, USA: McGraw-Hill, 2008. [6] D. Tse and P. Viswanath, Fundamentals of Wireless Communication. Cambridge, U.K.: Cambridge University Press, 2005. [7] S. Haykin, Communication Systems, 5th ed. New York, USA: Wiley, 2009. [8] Z. Wang and G. B. Giannakis, “A simple and general parameterization quantifying performance in fading channels,” IEEE Transactions on Communications, vol. 51, no. 8, pp. 1389–1398, Aug. 2003. [9] L. Vandendorpe, J. Louveaux, O. Oguz, and A. Zaidi, “Rate-optimized power allocation for DF-relayed OFDM transmission under sum and individual power constraints,” EURASIP Journal on Wireless Communications and Networking, vol. 2009, Article ID 814278, 2009. [10] M. Tao, Y.-C. Liang, and F. Zhang, “Resource allocation for delay differentiated traffic in multiuser OFDM systems,” IEEE Transactions on Wireless Communications, vol. 7, no. 6, pp. 2190–2201, June 2008.
Publication Date
5/2/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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