Spectral Efficiency Comparison of OFDM/FBMC for Uplink Cognitive Radio Networks

Cognitive radio (CR) is proposed to automatically detect and exploit unused spectrum while avoiding harmful interference to the incumbent system. In this paper, we emphasize the channel capacity comparison of a CR network using two types of multicarrier communications: conventional Orthogonal Frequency Division Multiplexing (OFDM) with Cyclic Prefix (CP) and Filter Bank based MultiCarrier (FBMC) modulations. We use a resource allocation algorithm in which subcarrier assignment and power allocation are carried out sequentially. By taking the impact of Inter-Cell Interference (ICI) resulting from timing offset into account, the maximization of total information rates is formulated under an uplink scenario with pathloss and Rayleigh fading, subject to maximum power constraint as well as mutual interference constraint between primary user (PU) and secondary user (SU). Final simulation results show that FBMC can achieve higher channel capacity than OFDM because of the low spectral leakage of its prototype filter.

[1]  Daniel Roviras,et al.  Multicarrier Interference Evaluation with Jointly Non-Linear Amplification and Timing Errors , 2011, 2011 IEEE 73rd Vehicular Technology Conference (VTC Spring).

[2]  Jon M. Peha,et al.  Approaches to spectrum sharing , 2005, IEEE Communications Magazine.

[3]  Pascal Chargé,et al.  Code acquisition for asynchronous multi-user chaos-based DS-CDMA , 2008 .

[4]  Daniel Roviras,et al.  Neural network equalization for frequency selective nonlinear MIMO channels , 2012, 2012 IEEE Symposium on Computers and Communications (ISCC).

[5]  Pierre Siohan,et al.  Analysis and design of OFDM/OQAM systems based on filterbank theory , 2002, IEEE Trans. Signal Process..

[6]  Behrouz Farhang-Boroujeny,et al.  Multicarrier communication techniques for spectrum sensing and communication in cognitive radios , 2008, IEEE Communications Magazine.

[7]  Daniel Roviras,et al.  Decision neuronale appliquée à l'égalisation de canaux satellitaires mobiles , 1999 .

[8]  D. Roviras,et al.  UMTS channel equalization using neural networks: natural gradient algorithm , 2001, IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222).

[9]  Chang Soo Lee,et al.  Polyphase filter-based OFDM transmission system , 2004, IEEE 60th Vehicular Technology Conference, 2004. VTC2004-Fall. 2004.

[10]  D. Roviras,et al.  Comparison of neural network adaptive predistortion techniques for satellite down links , 2001, IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222).

[11]  Wonjong Rhee,et al.  Performance comparison of OFDM and multitone with polyphase filter bank for wireless communications , 1998, VTC '98. 48th IEEE Vehicular Technology Conference. Pathway to Global Wireless Revolution (Cat. No.98CH36151).

[12]  Hong Sun,et al.  Uplink Capacity Comparison of OFDM / FBMC Based Cognitive Radio Networks , 2010, 2010 IEEE International Conference on Communications.

[13]  Tao Qin,et al.  Fair Adaptive Resource Allocation for Multiuser OFDM Cognitive Radio Systems , 2007, 2007 Second International Conference on Communications and Networking in China.

[14]  Daniel Roviras,et al.  Linear precoding based on switched relaying processing for multiuser MIMO relay systems , 2011, 2011 IEEE 12th International Workshop on Signal Processing Advances in Wireless Communications.

[15]  Pascal Chargé,et al.  Comparison of chaotic sequences in a chaos-based DS-CDMA system , 2007 .

[16]  Jon M. Peha,et al.  Regulatory and policy issues protecting public safety with better communications systems , 2005, IEEE Communications Magazine.

[17]  Hüseyin Arslan,et al.  A survey of spectrum sensing algorithms for cognitive radio applications , 2009, IEEE Communications Surveys & Tutorials.

[18]  J.A. Nossek,et al.  Inter-cell interference analysis for OFDM/FBMC systems , 2009, 2009 IEEE 10th Workshop on Signal Processing Advances in Wireless Communications.

[19]  Shiwen Mao,et al.  Performance Evaluation of Cognitive Radios: Metrics, Utility Functions, and Methodology , 2009, Proceedings of the IEEE.

[20]  M.M. Buddhikot,et al.  Understanding Dynamic Spectrum Access: Models,Taxonomy and Challenges , 2007, 2007 2nd IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks.

[21]  Simon Haykin,et al.  Cognitive radio: brain-empowered wireless communications , 2005, IEEE Journal on Selected Areas in Communications.

[22]  Vijay K. Bhargava,et al.  Adaptive Power Loading for OFDM-Based Cognitive Radio Systems , 2007, 2007 IEEE International Conference on Communications.

[23]  Josef A. Nossek,et al.  Out-Of-Band Radiation in Multicarrier Systems: A Comparison , 2007, MCSS.

[24]  Daniel Roviras,et al.  A framework for cooperative communications at the system level , 2008, 2008 5th IEEE International Conference on Mobile Ad Hoc and Sensor Systems.

[25]  Dominique Lacroix,et al.  OFDM with guard interval versus OFDM/offsetQAM for high data rate UMTS downlink transmission , 2001, IEEE 54th Vehicular Technology Conference. VTC Fall 2001. Proceedings (Cat. No.01CH37211).

[26]  F.K. Jondral,et al.  Mutual interference in OFDM-based spectrum pooling systems , 2004, 2004 IEEE 59th Vehicular Technology Conference. VTC 2004-Spring (IEEE Cat. No.04CH37514).

[27]  Daniel Roviras,et al.  The Impact of Timing Synchronization Errors on the Performance of OFDM/FBMC Systems , 2011, 2011 IEEE International Conference on Communications (ICC).

[28]  M. Bellanger.  Filter banks and OFDM-OQAM for high throughput wireless LAN , 2008, 2008 3rd International Symposium on Communications, Control and Signal Processing.

[29]  Daniel Roviras,et al.  Multipath effect mitigation in LPTV-based Multiple Access system , 2005, 2005 13th European Signal Processing Conference.

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

[31]  Georges Kaddoum,et al.  Performance analysis of differential chaos shift keying over an AWGN channel , 2009, 2009 International Conference on Advances in Computational Tools for Engineering Applications.

[32]  Josef A. Nossek,et al.  Comparison of Filter Bank Based Multicarrier Systems with OFDM , 2006, APCCAS 2006 - 2006 IEEE Asia Pacific Conference on Circuits and Systems.

[33]  Maurice G. Bellanger,et al.  Specification and design of a prototype filter for filter bank based multicarrier transmission , 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

[34]  Simon Haykin,et al.  Spectrum Sensing for Cognitive Radio , 2009, Proceedings of the IEEE.

[35]  Katta G. Murty,et al.  Nonlinear Programming Theory and Algorithms , 2007, Technometrics.

[36]  B. Floch,et al.  Coded orthogonal frequency division multiplex , 1995 .

[37]  Pascal Chargé,et al.  Analytical BER expression of multi-user chaos-based DS-CDMA system using a piecewise linear chaotic map , 2008 .

[38]  Zhongding Lei,et al.  IEEE 802.22: The first cognitive radio wireless regional area network standard , 2009, IEEE Communications Magazine.

[39]  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).

[40]  Philippe Martins,et al.  An Efficient Subcarrier Assignment Algorithm for Downlink OFDMA , 2006, IEEE Vehicular Technology Conference.

[41]  Limin Xiao,et al.  Power Allocation in OFDM-Based Cognitive Radio Systems , 2007, IEEE GLOBECOM 2007 - IEEE Global Telecommunications Conference.

[42]  Daniel Roviras,et al.  Integrated CMOS Analog Neural Network Ability to Linearize the Distorted Characteristic of HPA Embedded in Satellites , 2008, 4th IEEE International Symposium on Electronic Design, Test and Applications (delta 2008).

[43]  Mokhtar S. Bazaraa,et al.  Nonlinear Programming: Theory and Algorithms , 1993 .

[44]  Behrouz Farhang-Boroujeny,et al.  Filter Bank Spectrum Sensing for Cognitive Radios , 2008, IEEE Transactions on Signal Processing.

[45]  D. Roviras,et al.  Regulatory analysis of potential candidate bands for the modernisation of GNSS systems in 2015–2020 , 2008, 2008 IEEE International Workshop on Satellite and Space Communications.

[46]  Markku Renfors,et al.  Performance comparison of LDPC-coded FBMC and CP-OFDM in beyond 3G context , 2006, 2006 IEEE International Symposium on Circuits and Systems.

[47]  Haijian Zhang,et al.  Spectral efficiency comparison between OFDM/OQAM- and OFDM-based CR networks , 2009, Wirel. Commun. Mob. Comput..

[48]  B. Farhang-Boroujeny,et al.  FILTER BANK MULTITONE : A PHYSICAL LAYER CANDIDATE FOR COGNITIVE RADIOS , 2005 .

[49]  Ian F. Akyildiz,et al.  NeXt generation/dynamic spectrum access/cognitive radio wireless networks: A survey , 2006, Comput. Networks.

[50]  D. Roviras,et al.  On the distribution of the SINR in precoded multicarrier systems using linear MMSE equalization , 2012, 2012 16th IEEE Mediterranean Electrotechnical Conference.

[51]  Svante Signell,et al.  Comparison of CP-OFDM and OFDM/OQAM in Doubly Dispersive Channels , 2007, Future Generation Communication and Networking (FGCN 2007).

[52]  H. W. Kuhn B R Y N Mawr College.  Variants of the Hungarian Method for Assignment Problems' , 1955 .

[53]  Claude Berrou,et al.  Coded orthogonal frequency division multiplex [TV broadcasting] , 1995, Proc. IEEE.

[54]  Faouzi Bader,et al.  Power Allocation with Interference Constraint in Multicarrier Based Cognitive Radio Systems , 2009, MCSS.

[55]  D. Roviras,et al.  Chaos aided synchronization for asynchronous multi-user chaos-based DS-CDMA , 2008, 2008 15th IEEE International Conference on Electronics, Circuits and Systems.