Abstract
Direct conversion transceivers are very attractive in wireless communications, due to their simplicity and ease of integration. However, their performances are degraded with radio frequency (RF) impairments. On the other hand, multiple input multiple output (MIMO) wireless communication systems promise higher spectral efficiency than what is possible with single input single output (SISO) wireless communications [1], [2]. However, the significant improvement in wireless system performance using MIMO is achieved by increasing the system complexity, which may result in higher sensitivity and lower performance in practical systems. Therefore, the degradations due to system impairments must be studied to evaluate the realistic behavior of the MIMO systems. Moreover, compensation techniques can be applied by understanding the effects of these impairment factors. These impairments may be noticed as phase noise, DC offset, in-phase / quadrature (I/Q) imbalance, and power amplifier nonlinearity [3]. In this chapter, the impairments due to phase noise, DC offset and I/Q imbalance are analyzed and the different techniques for their prevention and compensation are discussed. The power amplifier nonlinearity effects are investigated in the following chapter.
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Keywords
- Phase Noise
- Additive White Gaussian Noise
- Multiple Input Multiple Output
- Adaptive Modulation
- Multiple Input Multiple Output System
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
Paulraj, A., Nabar, R., Gore, D.: Introduction to Space-Time Wireless Communications. Cambridge University Press (2003)
Bolcskei, H., Gesbert, D., Papadias, C.B., Veen, A.: Space-Time Wireless System From Array Processing to MIMO Communications. Cambridge University Press (2006)
Schenk, T., Linnartz, J.: RF Imperfections in High-Rate Wireless Systems, Impact and Digital Compensation. Springer, Heidelberg (2008)
Piazzo, L., Mandarini, P.: Analysis of phase noise effects in OFDM modems. IEEE Transactions on Communications 50(10), 1696–1705 (2002)
Tomba, L.: On the effect of wiener phase noise in OFDM systems. IEEE Transactions on Communications 46(5), 580–583 (1998)
Howald, R., Kesler, S., Kam, M.: BER performance of MQAM using OFDM with RF carrier phase noise. In: Proceedings of Southeastern Symposium on System Theory, pp. 419–423 (1998)
Liu, P., Bar-Ness, Y.: Closed-form expressions for BER performance in OFDM systems with phase noise. In: Proceedings of International Conference on Communications (ICC), Turkey, pp. 5366–5370 (2006)
Lu, J., Letaief, K.B., Chuang, J., Liou, M.L.: M-PSK and M-QAM BER computation using signal-space concepts. IEEE Transactions on Communications 47(2), 181–184 (1999)
Proakis, J.G., Salehi, M.: Digital Communications, 5th edn. McGraw-Hill (2007)
Dohler, M.: Virtual antenna arrays, Ph.D. dissertation, King’s College, London, U.K (2003)
Chung, S.T., Goldsmith, A.J.: Degrees of freedom in adaptive modulation: A unified view. IEEE Transactions on Communications 49(9), 1561–1571 (2001)
Keshavarzi, M.R., Mohammadi, A., Abdipour, A.: Characterization of Adaptive Modulation MIMO Systems in the Presence of Phase Noise. In: International Conference on Wireless Communications & Mobile Computing, IWCMC, Leipzig, Germany, pp. 1243–1247 (2009)
Muschallik, C.: Influence of RF oscillators on an OFDM signal. IEEE Transactions on Consumer Electronics 41, 592–603 (1995)
Gershman, A.B., Sidiropoulos, N.D.: Space-Time Processing for MIMO Communications. Wiley (2005)
Tsoulos, G.: MIMO System Technology for Wireless Communications. CRC Press (2006)
Zhou, S., Giannakis, G.B.: How accurate channel prediction needs to be for transmit-beamforming with adaptive modulation over Rayleigh MIMO channels? IEEE Transactions on Wireless Communications 3(4), 1285–1294 (2004)
Leung, B.: VLSI for Wireless Communications. Prentice Hall (2002)
Hemesi, H., Azami, F., Ghorssi, A., Abdipour, A., Mohammadi, A.: Low-complexity channel and frequency offset estimation in MIMO systems. Electronic Letters 44(9), 599–600 (2008)
Larson, E.: RF and Microwave Circuit Design for Wireless Communications. Artech House, Norwood (1996)
Bateman, A., Haines, D.M.: Direct conversion transceiver design for compact low-cost portable mobile radio terminals. In: Proceedings of the 43th IEEE Vehicular Technology Conference, pp. 55–62 (1989)
Keshavarzi, M.R., Mohammadi, A., Abdipour, A., Ghannouchi, F.M.: Characterization and Compensation of DC Offset on Adaptive MIMO Direct Conversion Transceivers. IEICE Transactions on Communications (1), 253–261 (2011)
Kenington, P.B.: RF and Baseband Techniques for Software Defined Radio. Artech House, Norwood (2005)
Lindoff, B., Malm, P.: BER performance analysis of a direct conversion receiver. IEEE Transactions on Communications 50(5), 856–865 (2002)
Lu, J., Letaief, K.B., Chuang, J.C.-I., Liou, M.L.: M-PSK and M-QAM BER Computation Using Signal-Space Concepts. IEEE Transactions on Communications 47, 181–184 (1999)
Proakis, J.G., Salehi, M.: Digital Communications, 5th edn. McGraw-Hill (2007)
Mohammadi, A., Kumar, S.: Characterization of adaptive modulators in fixed wireless ATM networks. KICS/IEEE Journal of Communications and Networks 6(2), 123–132 (2004)
Dohler, M., Aghvami, H.: On the approximation of MIMO capacity. IEEE Transactions on Wireless Communications 4(1), 30–34 (2005)
Zhou, Z., Vucetic, B., Dohler, M., Li, Y.: MIMO systems with adaptive modulation. IEEE Transactions on Vehicular Technology 54(5), 1828–1842 (2005)
Goldsmith, A.: Wireless Communications. Cambridge University Press (2005)
Pursley, M.B., Shea, J.M.: Adaptive nonuniform phase-shift-key modulation for multimedia traffic in wireless networks. IEEE Journal on Selected Areas in Communications 18, 1394–1407 (2000)
Liu, C.L.: Impacts of I/Q imbalance on QPSK-OFDM-QAM detection. IEEE Transactions on Consumer Electronics 44(3), 984–989 (1998)
Tarighat, A., Sayed, A.H.: MIMO OFDM receivers for systems with IQ imbalances. IEEE Transactions on Signal Processing 53(9), 3583–3596 (2005)
Zhou, Z., Vucetic, B., Dohler, M., Li, Y.: MIMO systems with adaptive modulation. IEEE Transactions on Vehicular Technology 54(5), 1828–1842 (2005)
Dohler, M.: Virtual antenna arrays, Ph.D. dissertation, King’s College, London (2003)
Telatar, I.E.: Capacity of multi-antenna Gaussian channels. European Transactions on Telecommunications 10, 585–595 (1999)
Hemesi, H., Azami, F., Ghorssi, A., Mohammadi, A., Abdipour, A.: Design and Implementation of a Flexible 4x4 MIMO Testbed. In: Proceedings of the International Symposium on Telecommunications (IST 2008), pp. 266–272 (2008)
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Mohammadi, A., Ghannouchi, F.M. (2012). RF Impairments in MIMO Transceivers. In: RF Transceiver Design for MIMO Wireless Communications. Lecture Notes in Electrical Engineering, vol 145. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27635-4_9
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DOI: https://doi.org/10.1007/978-3-642-27635-4_9
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