Publication Type:

Conference Paper

Source:

2011 International Conference on Devices and Communications, ICDeCom 2011 - Proceedings, Mesra (2011)

ISBN:

9781424491902

URL:

http://www.scopus.com/inward/record.url?eid=2-s2.0-84858120189&partnerID=40&md5=4ef93fa8b3d696108c5f781bf2f05b9c

Keywords:

Algorithms, Computational complexity, Decoding, Hyper-spheres, Maximum likelihood, Maximum Likelihood detection, Orthogonality, Signal detection, Spectral efficiencies, Spectrum analyzers, Sub-carriers

Abstract:

Nonorthogonal Frequency Division Multiplexing (NOFDM) is a digital modulation technique that promises to provide extremely high spectral efficiencies. However, this modulation scheme is seldom used in practice due to the high computational complexity involved in decoding the received signal in the presence of noise. The basic aim of this paper is to reduce this decoding complexity. Here, we propose a low complexity detection algorithm which makes use of maximum likelihood (ML) decoding not over the entire signal constellation but over a proper subset of the constellation that lies on a hypersphere thereby reducing the computational complexity for decoding. Computational complexity has been evaluated for various values of transmitted power and the result has been plotted for both ML detection algorithm and the proposed algorithm at a fixed data rate. The BER performance for both the algorithms has also been compared at a fixed data rate and the result has been plotted. The results show that the proposed algorithm is far superior to ML detection algorithm in terms of computational complexity. © 2011 IEEE.

Notes:

cited By (since 1996)0; Conference of org.apache.xalan.xsltc.dom.DOMAdapter@274d704e ; Conference Date: org.apache.xalan.xsltc.dom.DOMAdapter@4d08250a Through org.apache.xalan.xsltc.dom.DOMAdapter@51b7db08; Conference Code:84551

Cite this Research Publication

S. Bharadwaj, Krishna, B. M. Nithin, Sutharshun, V., Sudheesh, P., and Jayakumar, M., “Low complexity detection scheme for NOFDM systems based on ML detection over hyperspheres”, in 2011 International Conference on Devices and Communications, ICDeCom 2011 - Proceedings, Mesra, 2011.