Joint spectral shaping and power loading for OFDM-based cognitive radio

In this paper, we propose joint spectral shaping and power allocation for an orthogonal frequency division multiplexing (OFDM)-based cognitive radio (CR). The objective is to maximize its downlink transmission rate subject to the constraint on the interference introduced to the primary user (PU) spectrum band that coexists side-by-side in overlay approach. Considering that the CR transmitter (base station) is operating in an interference limited rather than the power limited scenario, we develop an optimal power allocation scheme that is augmented with active interference cancellation (AIC)-based spectral shaping and investigate its performance. We also propose an AIC-based suboptimal scheme which is computationally less complex and offers performance very close to the AIC-based optimal scheme. For a given interference threshold prescribed by the PU system, experimental results show that the proposed AIC-based optimal as well as the suboptimal schemes can offer much higher transmission rates for the CR user compared to the conventional schemes available in the literature for the same problem under similar scenario.

[1]  Ivan Cosovic,et al.  Sidelobe Suppression in OFDM Systems , 2006 .

[2]  Xiaojing Huang,et al.  Sidelobe Suppression with Orthogonal Projection for Multicarrier Systems , 2012, IEEE Transactions on Communications.

[3]  Alexander M. Wyglinski,et al.  Sidelobe Suppression for OFDM-Based Cognitive Radios Using Constellation Expansion , 2008, 2008 IEEE Wireless Communications and Networking Conference.

[4]  Tao Jiang,et al.  Extended Active Interference Cancellation for Sidelobe Suppression in Cognitive Radio OFDM Systems With Cyclic Prefix , 2010, IEEE Transactions on Vehicular Technology.

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

[6]  Xiaojing Huang,et al.  Optimal Orthogonal Precoding for Power Leakage Suppression in DFT-Based Systems , 2011, IEEE Transactions on Communications.

[7]  Wachira Chongburee,et al.  Analysis of Power Spectral Density of Digitally-Modulated Combined Pulse Trains , 2005 .

[8]  Michael Schnell,et al.  Reduction of out-of-band radiation in OFDM systems by insertion of cancellation carriers , 2006, IEEE Communications Letters.

[9]  Ming Chen,et al.  A precoding scheme for DFT-based OFDM to suppress sidelobes , 2009, IEEE Communications Letters.

[10]  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).

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

[12]  Octavia A. Dobre,et al.  Joint Spectral Shaping and Power Control in Spectrum Overlay Cognitive Radio Systems , 2012, IEEE Transactions on Communications.

[13]  Roberto López-Valcarce,et al.  Choose Your Subcarriers Wisely: Active Interference Cancellation for Cognitive OFDM , 2013, IEEE Journal on Emerging and Selected Topics in Circuits and Systems.

[14]  Vijay K. Bhargava,et al.  Optimal and Suboptimal Power Allocation Schemes for OFDM-based Cognitive Radio Systems , 2008, IEEE Transactions on Wireless Communications.