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Physical channel modeling, adaptive prediction and transmitter diversity for flat fading mobile channel

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3 Author(s)
Shengquan Hu ; Dept. of Electr. & Comput. Eng., North Carolina State Univ., Raleigh, NC, USA ; Hallen, H. ; Duel-Hallen, A.

Deterministic modeling of flat fading wireless channels using the method of images is presented. The models identify typical and worst-case channel parameter variation rates and yield datasets of channel strength vs. position, which are used to test a long-range adaptive prediction algorithm previously presented by the authors. Our physical insights and unique long-range prediction capability for the fast fading can be used in conjunction with space diversity-including novel transmitter diversity schemes for a single receiving antenna-or adaptive modulation to significantly reduce or eliminate the effects of deep fades in wireless communications

Published in:

Signal Processing Advances in Wireless Communications, 1999. SPAWC '99. 1999 2nd IEEE Workshop on

Date of Conference:

1999