Optimal training for time-selective wireless fading channels using cutoff rate

  • Authors:
  • Saswat Misra;Ananthram Swami;Lang Tong

  • Affiliations:
  • The Army Research Laboratory, Adelphi, MD and Department of Electrical and Computer Engineering, Cornell University, Ithaca, NY;The Army Research Laboratory, Adelphi, MD;Department of Electrical and Computer Engineering, Cornell University, Ithaca, NY

  • Venue:
  • EURASIP Journal on Applied Signal Processing
  • Year:
  • 2006

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We consider the optimal allocation of resources-power and bandwidth-between training and data transmissions for single-user time-selective Rayleigh flat-fading channels under the cutoff rate criterion. The transmitter exploits statistical channel state information (CSI) in the form of the channel Doppler spectrum to embed pilot symbols into the transmission stream. At the receiver, instantaneous, though imperfect, CSI is acquired through minimum mean-square estimation of the channel based on some set of pilot observations. We compute the ergodic cutoff rate for this scenario. Assuming estimator-based interleaving and M- PSK inputs, we study two special cases in-depth. First, we derive the optimal resource allocation for the Gauss-Markov correlation model. Next, we validate and refine these insights by studying resource allocation for the Jakes model.