Subcarrier and Power Allocation for OFDMA-Based Cognitive Radio Systems With Joint Overlay and Underlay Spectrum Access Mechanism

In this paper, we study a subcarrier-and-power-allocation problem for orthogonal-frequency-division multiple-access (OFDMA)-based cognitive radio (CR) systems. In a departure from existing works in the literature that considered resource allocation for either an overlay spectrum access mechanism (OSAM) or an underlay spectrum access mechanism (USAM), we propose subcarrier-and-power-allocation schemes for a joint overlay and underlay spectrum access mechanism (JOUSAM). In particular, for such a CR system, the total transmission rate of CR users is maximized for a given power budget while keeping the interference introduced to the primary-user (PU) receivers' below given thresholds with a certain probability. As the optimal scheme can be highly complex, we also propose a low-complexity suboptimal subcarrier-and-power-allocation scheme. The selected numerical results show that a significant gain in terms of total achievable transmission rate can be obtained over an USAM or an OSAM. These selected numerical results also show that the proposed suboptimal scheme, which has a very low complexity, provides a significant improvement in performance over either underlay or overlay spectrum access mechanism. The proposed optimal scheme can lead to an unfairness among CR users in sharing the total transmission rate; therefore, we also propose a suboptimal subcarrier-allocation scheme that can guarantee a certain level of fairness among CR users.

[1]  J.A.C. Bingham,et al.  Multicarrier modulation for data transmission: an idea whose time has come , 1990, IEEE Communications Magazine.

[2]  Tho Le-Ngoc,et al.  Distributed Resource Allocation for Cognitive Radio Networks With Spectrum-Sharing Constraints , 2011, IEEE Transactions on Vehicular Technology.

[3]  Wenbo Wang,et al.  Efficient Multiuser Water-filling Algorithm under Interference Temperature Constraints in OFDMA-based Cognitive Radio Networks , 2007, 2007 International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications.

[4]  Halim Yanikomeroglu,et al.  On the impact of the primary network activity on the achievable capacity of spectrum sharing over fading channels , 2009, IEEE Transactions on Wireless Communications.

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

[6]  Mohamed-Slim Alouini,et al.  Location-based resource allocation for OFDMA cognitive radio systems , 2010, 2010 Proceedings of the Fifth International Conference on Cognitive Radio Oriented Wireless Networks and Communications.

[7]  Ha H. Nguyen,et al.  Resource Allocation for OFDM-Based Cognitive Radio Multicast Networks , 2009, 2009 IEEE Wireless Communications and Networking Conference.

[8]  Khaled Ben Letaief,et al.  Multiuser OFDM with adaptive subcarrier, bit, and power allocation , 1999, IEEE J. Sel. Areas Commun..

[9]  L.P. Ligthart,et al.  Combined Spectrum Pooling and Adaptive Bit Loading for Cognitive Radio OFDM Based System , 2006, 2006 Symposium on Communications and Vehicular Technology.

[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]  Alexander M. Wyglinski Effects of Bit Allocation on Non-Contiguous Multicarrier-Based Cognitive Radio Transceivers , 2006, IEEE Vehicular Technology Conference.

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

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

[14]  Cyril Leung,et al.  Subcarrier, Bit and Power Allocation for Multiuser OFDM-Based Multi-Cell Cognitive Radio Systems , 2008, 2008 IEEE 68th Vehicular Technology Conference.

[15]  Guo Wei,et al.  Spatial Capacity of Narrowband vs. Ultra-wideband Cognitive Radio Systems , 2008, IEEE Transactions on Wireless Communications.

[16]  Danijela Cabric,et al.  Physical layer design issues unique to cognitive radio systems , 2005, 2005 IEEE 16th International Symposium on Personal, Indoor and Mobile Radio Communications.

[17]  Dong In Kim,et al.  Joint rate and power allocation for cognitive radios in dynamic spectrum access environment , 2008, IEEE Transactions on Wireless Communications.

[18]  Pinyi Ren,et al.  Power Allocation Algorithms for OFDM-Based Cognitive Radio Systems , 2010, 2010 6th International Conference on Wireless Communications Networking and Mobile Computing (WiCOM).

[19]  S. Srinivasa,et al.  The Throughput Potential of Cognitive Radio: A Theoretical Perspective , 2006, 2006 Fortieth Asilomar Conference on Signals, Systems and Computers.

[20]  Joseph Mitola,et al.  Cognitive radio: making software radios more personal , 1999, IEEE Wirel. Commun..

[21]  Yung-Fang Chen,et al.  Subcarrier and power allocation for multiuser OFDM-based cognitive radio uplink systems , 2010, 2010 IEEE Globecom Workshops.

[22]  François Gagnon,et al.  Joint Overlay and Underlay Power Allocation Scheme for OFDM-Based Cognitive Radio Systems , 2010, 2010 IEEE 71st Vehicular Technology Conference.

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

[24]  Wenbo Wang,et al.  Subcarrier Allocation Based on Water-Filling Level in OFDMA-Based Cognitive Radio Networks , 2007, 2007 International Conference on Wireless Communications, Networking and Mobile Computing.

[25]  Mohamed-Slim Alouini,et al.  Generalized location-based resource allocation for OFDMA cognitive radio systems , 2010, 2010 7th International Symposium on Wireless Communication Systems.

[26]  Michael A. Temple,et al.  A novel hybrid overlay/underlay Cognitive Radio waveform in frequency selective fading channels , 2009, 2009 4th International Conference on Cognitive Radio Oriented Wireless Networks and Communications.

[27]  Danijela Cabric,et al.  White paper: Corvus: A cognitive radio approach for usage of virtual unlicensed spectrum , 2004 .

[28]  Vijay K. Bhargava,et al.  Adaptive Power Loading for OFDM-Based Cognitive Radio Systems with Statistical Interference Constraint , 2011, IEEE Transactions on Wireless Communications.

[29]  Vijay K. Bhargava,et al.  Cognitive Wireless Communication Networks , 2007 .