Joint optimization of the OFDM system simultaneously corrupted by clipping and quantization distortions

doi:10.7523/jssn.2095-6134.2014.02.016

Abstract

Abstract:

We consider the OFDM system simultaneously corrupted by the clipping distortion and quantization distortion. Joint optimization of such an OFDM system from the standpoint of end-to-end link is investigated. The corresponding multi-variable and multi-object optimization models are established and the Pareto front is obtained through software simulation by employing the NSGA-Ⅱ algorithm. Results show that at USQ width of 1 or 2 bit, more than 5dB peak-to-average power ratio gain is achieved while the loss of the average channel capacity is much less than 0.1 bps/Hz. Meanwhile, the theoretical BER of the OFDM system is derived and its accuracy is verified by software simulations.

Key words: OFDM, clipping distortion, quantization distortion, joint optimization

CLC Number:

TN919.3

LI Zhanya, ZHANG Guangrong, CHEN Xiaohui, WANG Weidong. Joint optimization of the OFDM system simultaneously corrupted by clipping and quantization distortions[J]. , 2014, 31(2): 249-256.

References

[1] Jiang T, Wu Y. An overview: peak-to-average power ratio reduction techniques for OFDM signals[J]. IEEE Transactions on Broadcasting, 2008, 54(2): 257-268.

[2] Takebuchi S, Arai T, Maehara F. A novel clipping and filtering method employing transmit power control for OFDM systems[C]//IEEE Wireless Communications and Networking Conference (WCNC). Shanghai:IEEE Press, 2012:221-225.

[3] Okamoto S, Tomisato S, Fujii H, et al. Non-linear distortion noise control by clipping and filtering in spectrum sharing systems[C]//IEEE 75th Vehicular Technology Conference. Yokohama:IEEE Press, 2012:1-5.

[4] Alsafadi E B, Alnaffouri T Y. Peak reduction and clipping mitigation in OFDM by augmented compressive sensing[J]. IEEE Transactions on Signal Processing, 2012, 60(7):3834-3839.

[5] Krone S, Fettweis G. Energy-efficient A/D conversion in wideband communications receivers[C]//IEEE Vehicular Technology Conference. San Francisco:IEEE Press, 2011:1-5.

[6] Singh J, Dabeer O, Madhow U. Capacity of the discrete-time AWGN channel under output quantization[C]//IEEE International Symposium on Information Theory. Toronto:IEEE Press, 2008:1218-1222.

[7] Singh J, Dabeer O, Madhow U. On the limits of communication with low-precision analog-to-digital conversion at the receiver[J]. IEEE Transactions on Communications, 2009, 57(12): 3629-3639.

[8] Chen L, Krongold B, Evans J. Theoretical characterization of nonlinear clipping effects in IM/DD optical OFDM systems[J]. IEEE Transactions on Communications, 2012, 60(8):2304-2312.

[9] Dimitrov S, Sinanovic S, Haas H. Clipping noise in OFDM-based optical wireless communication systems[J]. IEEE Transactions on Communications, 2012, 60(4):1072-1081.

[10] Kotzer I, Har-Nevo S, Sodin S, et al. An analytical approach to the calculation of EVM in clipped multi-carrier signals[J]. IEEE Transactions on Communications, 2012, 60(5):1371-1380.

[11] Hua Y, Wei G. Choosing the optimal clipping ratio for clipping and filtering PAR-reduction scheme in OFDM[C]//International Conference on Wireless Communications, Networking and Mobile Computing. Shanghai: IEEE Press, 2007:460-463.

[12] Hou Y, Liu G, Wang Q, et al. Performance optimization of digital spectrum analyzer with gaussian input signal[J]. IEEE Signal Processing Letters, 2013, 20(1): 31-34.

[13] Dardari D. Joint clip and quantization effects characterization in OFDM receivers[J]. IEEE Transactions on Circuits and Systems I: Regular Papers, 2006, 53:1741-1748.

[14] Ehm H, Winter S, Weigel R. Analytic quantization modeling of OFDM signals using normal Gaussian distribution[C]//Asia-Pacific in Microwave Conference. Yokohama: IEEE Press, 2006:847-850.

[15] Zhang W. A general framework for transmission with transceiver distortion and some applications[J]. IEEE Transactions on Communications, 2012, 60(2):384-399.

[16] Sen S, Tang G, Arye N. Multiobjective optimization of OFDM radar waveform for target detection[J]. IEEE Transactions on Signal Processing, 2011, 59(2):639-652.

[17] Knievel C, Hoeher P A, Tyrrell A, et al. Particle swarm enhanced graph-based channel estimation for MIMO-OFDM[C]//IEEE 73rd VTC. Yokohama: IEEE Press, Spring, May 15-18. 2011.

[18] Coello C A C, Lechuga M S. MOPSO: a proposal for multiple objective particle swarm optimization[C]//IEEE World Congress on Computational Intelligence. Honolulu: IEEE Press, 2002:1051-1056.

[19] Sharma N, Anupama K R. On the use of NSGA-Ⅱ for multi-objective resource allocation in MIMO-OFDMA systems[J]. Wireless Network, 2011, 17(5):1191-1201.

[20] Deb K, Pratap A, Agarwal S, et al. A fast and elitist multi-objective genetic algorithm: NSGA-Ⅱ[J]. IEEE Transactions on Evolutionary Computation, 2002, 6:182-197.

[21] Van D B A. Price's theorem for complex variables[J]. IEEE Transaction on Information Theory, 1996, 42(1):286-287.

[22] Seshadri A. A fast elitist multi-objective genetic algorithm: NSGA-Ⅱ[EB/OL].[2013-02-25]. http://www.iitk.ac.in/kangal/index.shtml.

[23] Jensen M T. Reducing the run-time complexity of multiobjective EAs: the NSGA-Ⅱ and other algorithms[J]. IEEE Transactions on Evolutionary Computation, 2003, 7(5): 503-515.

[24] Recommendation ITU-R M.1225, Guidelines for evaluation of radio transmission technologies for IMT-2000[G/OL]. 1997[2013-03-20]. http://www.itu.int/dms_pubrec/itu-r/rec/m/R-REC-M.1225-O-199702-I!!PDF-E.pdf.