Resource Allocation in MU-OFDM Cognitive Radio Systems with Partial Channel State Information

In wireless communications, the assumption that the transmitter has perfect channel state information (CSI) is often unreasonable, due to feedback delays, estimation errors, and quantization errors. In order to accurately assess system performance, a more careful analysis with imperfect CSI is needed. In this paper, the impact of partial CSI due to feedback delays in a multiuser Orthogonal Frequency Division Multiplexing (MU-OFDM) cognitive radio (CR) system is investigated. The effect of partial CSI on the bit error rate (BER) is analyzed. A relationship between the transmit power and the number of bits loaded on a subcarrier is derived which takes into account the target BER requirement. With this relationship, existing resource allocation schemes which are based on perfect CSI being available can be applied when only partial CSI is available. Simulation results are provided to illustrate how the system performance degrades with increasingly poor CSI.

[1]  Bernd Freisleben,et al.  Memetic Algorithms for the Traveling Salesman Problem , 2002, Complex Syst..

[2]  S. Kay Fundamentals of statistical signal processing: estimation theory , 1993 .

[3]  Chunyan Miao,et al.  Fitness landscape analysis for resource allocation in multiuser OFDM based cognitive radio systems , 2009, MOCO.

[4]  Rick S. Blum,et al.  Adaptive OFDM Systems With Imperfect Channel State Information , 2006, IEEE Transactions on Wireless Communications.

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

[6]  Jeffrey G. Andrews,et al.  Optimal power allocation in multiuser OFDM systems , 2003, GLOBECOM '03. IEEE Global Telecommunications Conference (IEEE Cat. No.03CH37489).

[7]  Georgios B. Giannakis,et al.  Optimal transmitter eigen-beamforming and space time block coding based on channel mean , 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[8]  Dimitri P. Bertsekas,et al.  Nonlinear Programming , 1997 .

[9]  Mohamed-Slim Alouini,et al.  A unified approach to the performance analysis of digital communication over generalized fading channels , 1998, Proc. IEEE.

[10]  Cyril Leung,et al.  Cross-Layer Resource Allocation for Mixed Services in Multiuser OFDM-Based Cognitive Radio Systems , 2009, IEEE Transactions on Vehicular Technology.

[11]  P. Merz,et al.  Memetic algorithms for the unconstrained binary quadratic programming problem. , 2004, Bio Systems.

[12]  Joseph Mitola,et al.  Cognitive Radio Architecture: The Engineering Foundations of Radio XML , 2006 .

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

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

[15]  Chi-Ying Tsui,et al.  A real-time sub-carrier allocation scheme for multiple access downlink OFDM transmission , 1999, Gateway to 21st Century Communications Village. VTC 1999-Fall. IEEE VTS 50th Vehicular Technology Conference (Cat. No.99CH36324).

[16]  Joseph Mitola Aware, Adaptive and Cognitive Radio: The Engineering Foundations of Radio XML , 2006 .

[17]  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).

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

[19]  Derrick Wing Kwan Ng,et al.  Cross-Layer Scheduling for OFDMA Amplify-and-Forward Relay Networks , 2009, 2009 IEEE 70th Vehicular Technology Conference Fall.

[20]  Georgios B. Giannakis,et al.  Adaptive MIMO-OFDM based on partial channel state information , 2004, IEEE Transactions on Signal Processing.

[21]  W. C. Jakes,et al.  Microwave Mobile Communications , 1974 .

[22]  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.

[23]  Giorgio Taricco,et al.  Exact pairwise error probability of space-time codes , 2002, 2002 IEEE International Conference on Communications. Conference Proceedings. ICC 2002 (Cat. No.02CH37333).

[24]  Yung-Fang Chen,et al.  A real-time joint subcarrier, bit, and power allocation scheme for multiuser OFDM-based systems , 2004, 2004 IEEE 59th Vehicular Technology Conference. VTC 2004-Spring (IEEE Cat. No.04CH37514).

[25]  Richard R. Shively,et al.  An efficient bit-loading algorithm for DMT applications , 2000, IEEE Communications Letters.

[26]  Robert F. H. Fischer,et al.  A new loading algorithm for discrete multitone transmission , 1996, Proceedings of GLOBECOM'96. 1996 IEEE Global Telecommunications Conference.

[27]  Kwang Bok Lee,et al.  Transmit power adaptation for multiuser OFDM systems , 2003, IEEE J. Sel. Areas Commun..