Impact of Pilot Design on Achievable Data Rates in Multiple Antenna Multiuser TDD Systems

In this paper we study the effects of practical pilot- assisted channel state estimation on the achievable information theoretic data rates (uplink and downlink) in a multiple antenna multiuser TDD system. Specifically, we consider a wireless system with multiple antennas at the base station and a number of mobile terminals each with a single antenna. We analyze the performance of uplink multiuser detection and downlink transmitter optimization that are based on linear spatial filtering. Using a discrete version of the continuously time-varying wireless channel we analyze how a lower bound on the achievable data rates depends on (1) the arrangement of pilot symbols (preamble or postamble); (2) the duration of the uplink and downlink transmissions; and (3) the percentage power allocated to the pilot. Furthermore, we also present the effects of the terminal speeds on the achievable data rates, thereby providing prescriptions for the practical design of the pilot. Specifically, our results point to an uplink postamble with flexible percentage (about 20 - 25 %) pilot power allocation, and transmission durations tailored for specific ranges of terminal speeds.

[1]  Shlomo Shamai,et al.  The Capacity Region of the Gaussian Multiple-Input Multiple-Output Broadcast Channel , 2006, IEEE Transactions on Information Theory.

[2]  Shlomo Shamai,et al.  On the achievable throughput of a multiantenna Gaussian broadcast channel , 2003, IEEE Transactions on Information Theory.

[3]  Richard D. Gitlin,et al.  The impact of antenna diversity on the capacity of wireless communication systems , 1994, IEEE Trans. Commun..

[4]  Narayan B. Mandayam,et al.  Unquantized and uncoded channel state information feedback in multiple-antenna multiuser systems , 2006, IEEE Transactions on Communications.

[5]  Sergio Verdu,et al.  Multiuser Detection , 1998 .

[6]  Robert W. Heath,et al.  Grassmannian beamforming for multiple-input multiple-output wireless systems , 2003, IEEE Trans. Inf. Theory.

[7]  Muriel Médard,et al.  The effect upon channel capacity in wireless communications of perfect and imperfect knowledge of the channel , 2000, IEEE Trans. Inf. Theory.

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

[9]  Georgios B. Giannakis,et al.  Adaptive modulation for multi-antenna transmissions with channel mean feedback , 2003, IEEE International Conference on Communications, 2003. ICC '03..

[10]  J. Wehinger,et al.  Iterative joint detection, decoding, and channel estimation for dual antenna arrays in frequency selective fading , 2002, The 5th International Symposium on Wireless Personal Multimedia Communications.

[11]  Thomas L. Marzetta,et al.  BLAST training : Estimating Channel Characteristics for High-Capacity Space-Time Wireless , 1999 .

[12]  David Tse,et al.  On the capacity region of the vector gaussian broadcast channel , 2003, IEEE International Symposium on Information Theory, 2003. Proceedings..

[13]  Narayan B. Mandayam,et al.  Multiple antenna transmitter optimization schemes for multiuser systems , 2003, 2003 IEEE 58th Vehicular Technology Conference. VTC 2003-Fall (IEEE Cat. No.03CH37484).

[14]  N. Mandayam,et al.  Impact of Pilot Assisted Channel State Estimation on Multiple Antenna Multiuser TDD Systems with Spatial Filtering , 2006, 2006 40th Annual Conference on Information Sciences and Systems.

[15]  Georgios B. Giannakis,et al.  Adaptive Modulation for multiantenna transmissions with channel mean feedback , 2004, IEEE Transactions on Wireless Communications.

[16]  A. Lee Swindlehurst,et al.  A performance bound for prediction of MIMO channels , 2006, IEEE Transactions on Signal Processing.

[17]  Narayan B. Mandayam,et al.  DIMACS Series in Discrete Mathematics and Theoretical Computer Science Pilot Assisted Estimation of MIMO Fading Channel Response and Achievable Data Rates , 2022 .

[18]  H. Vincent Poor,et al.  An Introduction to Signal Detection and Estimation , 1994, Springer Texts in Electrical Engineering.

[19]  H. Vincent Poor,et al.  An introduction to signal detection and estimation (2nd ed.) , 1994 .

[20]  Andrea J. Goldsmith,et al.  Finite-Rate Feedback MIMO Broadcast Channels with a Large Number of Users , 2006, 2006 IEEE International Symposium on Information Theory.

[21]  Preben E. Mogensen,et al.  Application and performance of downlink beamforming techniques in UMTS , 2003, IEEE Commun. Mag..

[22]  Upamanyu Madhow,et al.  MMSE interference suppression for direct-sequence spread-spectrum CDMA , 1994, IEEE Trans. Commun..

[23]  Babak Hassibi,et al.  How much training is needed in multiple-antenna wireless links? , 2003, IEEE Trans. Inf. Theory.

[24]  Shlomo Shamai,et al.  On the Capacity of Fading MIMO Broadcast Channels with Imperfect Transmitter Side-Information , 2006, ArXiv.

[25]  Narayan B. Mandayam,et al.  Adaptive Transmitter Optimization in Multiuser Multiantenna Systems: Theoretical Limits, Effect of Delays, and Performance Enhancements , 2005, EURASIP J. Wirel. Commun. Netw..

[26]  R. Gallager Information Theory and Reliable Communication , 1968 .

[27]  Georgios B. Giannakis,et al.  Capacity maximizing MMSE-optimal pilots for wireless OFDM over frequency-selective block Rayleigh-fading channels , 2004, IEEE Transactions on Information Theory.

[28]  Upamanyu Madhow,et al.  Space-Time transmit precoding with imperfect feedback , 2001, IEEE Trans. Inf. Theory.

[29]  Heinrich Meyr,et al.  An information theoretic foundation of synchronized detection , 2001, IEEE Trans. Commun..

[30]  Liuqing Yang,et al.  Optimal training for MIMO frequency-selective fading channels , 2005, IEEE Transactions on Wireless Communications.

[31]  E. Visotsky,et al.  Optimum beamforming using transmit antenna arrays , 1999, 1999 IEEE 49th Vehicular Technology Conference (Cat. No.99CH36363).

[32]  Leandros Tassiulas,et al.  Joint optimal power control and beamforming in wireless networks using antenna arrays , 1998, IEEE Trans. Commun..

[33]  Georgios B. Giannakis,et al.  Multiantenna adaptive modulation with beamforming based on bandwidth-constrained feedback , 2005, IEEE Transactions on Communications.