Comparative Analysis of FBMC and OFDM Multicarrier Techniques for Wireless Communication Networks

MC) techniques are highly attractive for the development of modern wireless communication systems such as 4 th Generation (4G) and Long Term Evolution (LTE) systems. So far, Orthogonal Frequency Division Multiplexing (OFDM) is the most popular and highly recommended modulation technique for Dynamic spectrum access (DSA) and Cognitive Radio (CR) applications. Despite their numerous advantages, OFDM system suffers from few drawbacks. Filter bank Multicarrier (FBMC), another modulation technique evolved from OFDM which overcomes these drawbacks is examined. FBMC applies filter banks and omits the severe out of band leakage of OFDM. This paper presents the comparative performance analysis of conventional OFDM system and FBMC system in terms of Signal to noise ratio (SNR), Bit error rate (BER), Packet delivery ratio(PDR) and number of packets dropped with the help of computer simulations performed using NETWORK SIMULATOR NS-2.34. KeywordsFBMC, DSA, OFDM-OQAM, NS2, MAC

[1]  Mineo Takai,et al.  Effects of wireless physical layer modeling in mobile ad hoc networks , 2001, MobiHoc '01.

[2]  Behrouz Farhang-Boroujeny,et al.  A Square-Root Nyquist (M) Filter Design for Digital Communication Systems , 2008, IEEE Transactions on Signal Processing.

[3]  Paramvir Bahl,et al.  A rate-adaptive MAC protocol for multi-Hop wireless networks , 2001, MobiCom '01.

[4]  Friedrich Jondral,et al.  Spectrum pooling: an innovative strategy for the enhancement of spectrum efficiency , 2004, IEEE Communications Magazine.

[5]  Robert Bregovic,et al.  Multirate Systems and Filter Banks , 2002 .

[6]  Tobias Hidalgo Stitz Filter Bank Techniques for the Physical Layer in Wireless Communications , 2010 .

[7]  R. Saxena,et al.  Multirate Systems and Filterbanks , 2011 .

[8]  Ashok Chandra,et al.  Dynamic spectrum access and cognitive radio , 2011, 2011 2nd International Conference on Wireless Communication, Vehicular Technology, Information Theory and Aerospace & Electronic Systems Technology (Wireless VITAE).

[9]  D. J. Schaefer Wide area adaptive spectrum applications , 2001, 2001 MILCOM Proceedings Communications for Network-Centric Operations: Creating the Information Force (Cat. No.01CH37277).

[10]  B. Saltzberg,et al.  Performance of an Efficient Parallel Data Transmission System , 1967, IEEE Transactions on Communication Technology.