Wireless Communication and Sensing in Multipath Environments Using Multiantenna Transceivers
Akbar M. Sayeed
Wireless Communications Research Laboratory, Department of Electrical &Computer Engineering, University of Wisconsin-Madison, Madison, WI, USA
Search for more papers by this authorThiagarajan Sivanadyan
Wireless Communications Research Laboratory, Department of Electrical &Computer Engineering, University of Wisconsin-Madison, Madison, WI, USA
Search for more papers by this authorAkbar M. Sayeed
Wireless Communications Research Laboratory, Department of Electrical &Computer Engineering, University of Wisconsin-Madison, Madison, WI, USA
Search for more papers by this authorThiagarajan Sivanadyan
Wireless Communications Research Laboratory, Department of Electrical &Computer Engineering, University of Wisconsin-Madison, Madison, WI, USA
Search for more papers by this authorSimon Haykin
Department of Electrical Engineering, McMaster University, Hamilton, Ontario, Canada
Search for more papers by this authorK. J. Ray Liu
Department of Electrical & Computer Engineering, University of Maryland, College Park, MD, USA
Search for more papers by this authorSummary
This chapter contains sections titled:
-
Introduction and Overview
-
Multipath Wireless Channel Modeling in Time, Frequency, and Space
-
Point-to-Point MIMO Wireless Communication Systems
-
Active Wireless Sensing with Wideband MIMO Transceivers
-
Concluding Remarks
-
References
REFERENCES
-
D. Tse and P. Viswanath, Fundamentals of Wireless Communication, Cambridge University Press, 2005.
10.1017/CBO9780511807213 Google Scholar
- A. Goldsmith, Wireless Communications, Cambridge University Press, 2006.
- J. G. Proakis, Digitial Communications, 4th ed., New York: McGraw-Hill, 2002.
-
P. A. Bello, “Characterization of randomly time-variant linear channels,” IEEE Trans. Commun. Syst., vol. CS-11, pp. 360–393, Nov. 1963.
10.1109/TCOM.1963.1088793 Google Scholar
- R. S. Kennedy, Fading Dispersive Communication Channels, New York: Wiley, 1969.
- E. Telatar, “Capacity of multi-antenna Gaussian channels,” AT& T-Bell Labs Intern. Tech. Memo., June 1995.
- Í. E. Telatar, “Capacity of multi-antenna Gaussian channels,” Eur. Trans. Telecommun., vol. 10, pp. 585–595, Nov. 1999.
-
G. J. Foschini, “Layered space-time architecture for wireless communication in a fading environment when using multi-element antennas,” Bell Labs Tech. J., vol. 1, no. 2, pp. 41–59, 1996.
10.1002/bltj.2015 Google Scholar
-
G. J. Foschini and M. J. Gans, “On limits of wireless communications in a fading environment when using multiple antennas,” Wireless Personal Commun., vol. 6, pp. 311–335, 1998.
10.1023/A:1008889222784 Google Scholar
- A. Goldsmith, S. Jafar, N. Jindal, and S. Vishwanath, “Capacity limits of MIMO channels,” IEEE J. Selec. Areas Commun. (special issue on MIMO systems), vol. 21, no. 5, pp. 684–702, June 2003.
-
A. Sendonaris, E. Erkip, and B. Aazhang, “User cooperation diversity—Part I: System description,” IEEE Trans. Commun., pp. 1927–1938, Nov. 2003.
10.1109/TCOMM.2003.818096 Google Scholar
-
A. Sendonaris, E. Erkip, and B. Aazhang, “User cooperation diversity—Part II: Implementation aspects and performance analysis,” IEEE Trans. Commun., pp. 1939–1948, Nov. 2003.
10.1109/TCOMM.2003.819238 Google Scholar
- P. Liu, Z. Tao, Z. Lin, E. Erkip, and S. Panwar, “Cooperative wireless communications: A cross-layer approach,” IEEE Wireless Commun. Mag., pp. 84–92, Aug. 2006.
- A. Chakrabarti, E. Erkip, A. Sabharwal, and B. Aazhang, “Code designs for cooperative communication,” IEEE Signal Process. Mag., pp. 16–26, Sept. 2007.
- A. M. Sayeed and B. Aazhang, “Joint multipath-Doppler diversity in mobile wireless communications,” IEEE Trans. Commun., vol. 47, no. 1, pp. 123–132, Jan. 1999.
- A. M. Sayeed, “Deconstructing multi-antenna fading channels,” IEEE Trans. Signal Process., vol. 50, no. 10, pp. 2563–2579, Oct. 2002.
- A. M. Sayeed, “A virtual representation for time- and frequency-selective correlated MIMO channels,” Proc. 2003 Int. Conf. Acoust. Speech Signal Process., vol. 4, pp. 648–651, 2003.
- D. Gabor, “Theory of communication,” J. IEEE, vol. 93, pp. 429–457, 1946.
- W. Kozek, “On the transfer function calculus for underspread LTV channels,” IEEE Trans. Signal Process., pp. 219–223, Jan. 1997.
- W. Kozek and A. F. Molisch, “Nonorthogonal pulseshapes for multicarrier communications in doubly dispersive channels,” IEEE J. Select. Areas Commun., vol. 16, no. 8, pp. 1579–1589, Oct. 1998.
- K. Liu, T. Kadous, and A. M. Sayeed, “Orthogonal time-frequency signaling for doubly dispersive channels,” IEEE Trans. Inform. Theory, pp. 2583–2603, Nov. 2004.
- I. F. Akyildiz, W. Su, Y. Sankarasubramaniam, and E. Cayirci, “A survey on sensor networks,” IEEE Commun. Mag., vol. 40, no. 8, pp. 102–114, Aug. 2002.
- IEEE Signal Processing Magazine (S. Kumar and F. Zhao and D. Shepherd (Eds.), Special issue on collaborative signal and information processing in microsensor networks, Mar. 2002.
- D. Estrin, L. Girod, G. Pottie, and M. Srivastava, “Instrumenting the world with wireless sensor networks,” in Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP'01), Vol. 4, May 2001, pp. 2033–2036.
- T. Sivanadyan and A. Sayeed, “Active wireless sensing for rapid information retrieval in sensor networks,” in Proc. 5th International Conference on Information Processing in Sensor Networks (IPSN'06), Apr. 2006, pp. 85–92.
- A. Sayeed and T. Sivanadyan, “Source channel communication protocols and tradeoffs in active wireless sensing,” in Proc. 44th Annual Allerton Conference on Communication, Control and Computing, Sept. 2006.
- T. Sivanadyan and A. Sayeed, “Active wireless sensing in multipath environments,” in Proc. IEEE Statistical Signal Processing Workshop (SSP'07), Madison, WI, Aug. 2007, pp. 378–382.
- S. Verdu, Multiuser Detection, Cambridge University Press, 1998.
- M. Fink, “Time reversed acoustics,” Phys. Today, vol. 50, no. 3, pp. 34–40, Mar. 1997.
- C. Oestges, J. Hansen, S. M. Emami, A. D. Kim, G. Papanicolaou, and A. J. Paulraj, “Time reversal techniques for broadband wireless communication systems,” Eur. Microwave Week, pp. 49–66, Oct. 2004.
- K. S. Miller, Complex Stochastic Processes, Reading, MA: Addison-Wesley, 1974.
- D. Slepian, “On bandwidth,” Proc. IEEE, vol. 64, no. 3, pp. 292–300, Mar. 1976.
- A. F. Molisch, “Ultrawideband propagation channels—Theory, measurement and modeling,” IEEE Trans. Veh. Tech., Sept. 2005.
- P. Almers, E. Bonek, A. Burr, N. Czink, M. Debbah, V. Degli-Esposti, H. Hofstetter, P. Kyösti, D. Laurenson, G. Matz, A. F. Molisch, C. Oestges, and H. Özcelik, “Survey of channel and radio propagation models for wireless MIMO systems,” EURASIP J. Wireless Commun. Networking, vol. 2007, p. 19, 2007.
- W. Weichselberger, M. Herdin, H. Ozcelik, and E. Bonek, “A stochastic MIMO channel model with joint correlation of both link ends,” IEEE Trans. Wireless Commun., pp. 90–100, Jan. 2006.
- J. H. Kotecha and A. M. Sayeed, “Canonical statistical models for correlated MIMO fading channels and capacity analysis,” Tech. Rep. ECE-03-05, University of Wisconsin-Madison, Oct. 2003.
- A. Sayeed, V. Raghavan, and J. Kotecha, “Capacity of space-time wireless channels: A physical perspective,” paper presented at the 2004 Information Theory Workshop, San Antonio, TX, Sept. 2004.
- A. M. Sayeed and V. Raghavan, “Maximizing MIMO capacity in sparse multipath with reconfigurable antenna arrays,” IEEE J. Select. Topics Signal Process., June 2007.
- A. M. Sayeed and V. Veeravalli, “The essential degrees of freedom in space-time fading channels,” in Proc. 13th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC'02), Lisbon, Portugal, Sept. 2002, pp. 1512– 1516.
- A. J. Viterbi, CDMA: Principles of Spread Spectrum Communications, Reading, MA: Addison-Wesley, 1995.
- A. M. Sayeed, A. Sendonaris, and B. Aazhang, “Multiuser detection in fast fading multipath environments,” IEEE J. Select. Areas Commun., vol. 16, no. 9, pp. 1691–1701, Dec. 1998.
- T. A. Kadous and A. M. Sayeed, “Decentralized multiuser detection for time-varying multipath channels,” IEEE Trans. Commun., vol. 48, pp. 1840–1852, Nov. 2000.
-
A. R. S. Bahai, B. R. Saltzberg, and M. Ergen, Multi Carrier Digital Communications: Theory and Applications of OFDM, Springer, 2004.
10.1007/b99321 Google Scholar
- Robert M. Gray, “On the asymptotic eigenvalue distribution of toeplitz matrices,” IEEE Trans. Inform. Theory, vol. 18, no. 6, pp. 725–730, Nov. 1972.
- M. P. Fitz, J. Grimm, and J. V. Krogmeier, “Results on code design for transmitter diversity in fading,” in 1997 IEEE Intl. Symp. Inform. Th., 1997, p. 234.
- V. Tarokh, N. Seshadri, and A. R. Calderbank, “Space-time codes for high data rate wireless communication: Performance criteria and code construction,” IEEE Trans. Inform. Theory, pp. 744–765, Mar. 1998.
- V. Tarokh, H. Jafarkhani, and A. R. Calderbank, “Space-time block codes from orthogonal designs,” IEEE Trans. Inform. Theory, pp. 1456–1467, July 1999.
- E. G. Larsson and P. Stoica, Space-Time Block Coding for Wireless Communications, Cambridge: Cambridge University Press.
- B. Hassibi and B. Hochwald, “High-rate codes that are linear in space and time,” IEEE Trans. Inform. Theory, pp. 1804–1824, July 2002.
- L. Zheng and D. Tse, “Diversity and multiplexing: A fundamental tradeoff in multiple antenna channels,” IEEE Trans. Inform. Theory, vol. 49, no. 5, 2003.
- C-N. Chuah, D. N. C. Tse, J. M. Kahn, and R. A. Valenzuela, “Capacity scaling in MIMO wireless systems under correlated fading,” IEEE Trans. Inform. Theory, vol. 48, no. 3, pp. 637–650, Mar. 2002.
- K. Liu, V. Raghavan, and A. M. Sayeed, “Capacity scaling and spectral efficiency in wideband correlated MIMO channels,” IEEE Trans. Inform. Theory (special issue on MIMO systems), pp. 2504–2526, Oct. 2003.
- V. Veeravalli, Y. Liang, and A. Sayeed, “Correlated MIMO wireless channels: Capacity, optimal signaling and asymptotics,” IEEE Trans. Inform. Theory, June 2005.
- A. M. Tulino, A. Lozano, and S. Verdú, “Impact of antenna correlation on the capacity of multiantenna channels,” IEEE Trans. Inform. Theory, vol. 51, no. 7, pp. 2491–2509, July 2005.
- J. W. Brewer, “Kronecker products and matrix calculus in system theory,” IEEE Trans. Circ. Syst., vol. 25, no. 9, pp. 772–781, Sept. 1978.
-
A. F. Molisch, M. Steinbauer, M. Toeltsch, E. Bonek, and R. S. Thomä, “Capacity of MIMO systems based on measured wireless channels,” IEEE J. Selec. Areas. Commun., vol. 20, no. 3, pp. 561–569, Apr. 2002.
10.1109/49.995515 Google Scholar
- H. Özcelik, M. Herdin, H. Hofstetter, and E. Bonek, “A comparison of measured 8 × 8 MIMO systems with a popular stochastic channel model at 5.2Ghz,” in 10th International Conference on Telecommunications (ICT 2003), 2003.
- Z. Yan, M. Herdin, A. Sayeed, and E. Bonek, “Experimental study of mimo channel statistics and capacity via the virtual channel representation,” UW Technical Report, Feb. 2007.
- J. Kotecha and A. M. Sayeed, “Optimal signal design for estimation of correlated MIMO channels,” IEEE Trans. Signal Process., pp. 546–557, Feb. 2004.
- Z. Hong, K. Liu, R. Heath, and A. Sayeed, “Spatial multiplexing in correlated fading via the virtual channel representation,” IEEE J. Select. Areas Commun. (special issue on MIMO systems), vol. 21, no. 5, pp. 856–866, June 2003.
- K. Liu and A. M. Sayeed, “Space-time D-block codes via the virtual MIMO channel representation,” IEEE Trans. Wireless Commun., May 2004.
- A. M. Sayeed, J. Kotecha, and Z. Hong, “Capacity-optimal linear dispersion codes for correlated MIMO channels,” paper presented at the IEEE Vehicular Technology Conference, Los Angeles, CA, Sept. 2004.
- H. Bölcskei, “MIMO-OFDM wireless systems: Basics, perspectives and challenges,” IEEE Wireless Commun., vol. 13, pp. 31–37, 2006.
- E. N. Onggosanusi, A. M. Sayeed, and B. D. Van Veen, “Multi-access interference suppression in canonical space-time coordinates: A decentralized approach,” IEEE Trans. Commun., vol. 50, no. 5, pp. 833–844, May 2002.
- T. Sivanadyan and A. Sayeed, “Space-time reversal techniques for information retrieval in wireless sensor networks,” paper presented at the Sensor, Signal and Information Processing Workshop (SenSIP'08), Sedona, AZ, May 2008.
- E. Biglieri, J. Proakis, and S. Shamai(Shitz), “Fading channels: Information-theoretic and communications aspects,” IEEE Trans. Inform. Theory, pp. 2619–2692, Oct. 1998.
- A. Ephremides and B. Hajek, “Information theory and communication networks: An unconsummated union,” IEEE Trans. Inform. Theory, vol. 44, no. 6, pp. 2416–2434, 1998.
- J. Mitola III, “Cognitive radio: An integrated agent architecture for software defined radio,” PhD thesis, Royal Institute of Technology (KTH), Stockholm, Sweden, 2000.
- S. Haykin, “Cognitive radio: Brain-empowered wireless communications,” IEEE J. Select. Areas Commun., vol. 23, no. 2, pp. 201–220, Feb. 2005.
- IEEE J. Select Areas Commun., special issue on adaptive, spectrum agile and cognitive wireless networks, Apr. 2007.
- Q. Zhao and B. Sadler, “A survey of dynamic spectrum access,” IEEE Signal Process. Mag., May 2007.
- IEEE J. Select Topics Signal Processing, special issue on signal processing and networking for dynamic spectrum access, Apr. 2008.
- IEEE J. Select Topics Signal Processing, special issue on adaptive waveform design for agile sensing and communication, June 2007.
- A. M. Sayeed, “Sparse multipath wireless channels: Modeling and implications,” in Proc. ASAP, 2006.
- V. Raghavan, G. Hariharan, and A. M. Sayeed, “Capacity of sparse multipath channels in the ultra-wideband regime,” IEEE J. Select. Topics Signal Process., Oct. 2007.
- G. Hariharan and A. Sayeed, “Minimum probability of error in sparse wideband channels,” paper presented at the 44th Annual Allerton Conference, 2006.
- E. J. Candès and M. B. Wakin, “People hearing without listening: An introduction to compressive sampling,” IEEE Signal Process. Mag., Mar. 2008.