Title :
Physical channel modeling, adaptive prediction and transmitter diversity for flat fading mobile channel
Author :
Hu, Shengquan ; Hallen, Hans ; Duel-Hallen, Alexandra
Author_Institution :
Dept. of Electr. & Comput. Eng., North Carolina State Univ., Raleigh, NC, USA
Abstract :
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
Keywords :
adaptive modulation; diversity reception; fading channels; land mobile radio; prediction theory; radio transmitters; receiving antennas; adaptive modulation; channel power prediction; channel strength; datasets; deep fades; deterministic modeling; fast fading; flat fading mobile channel; flat fading wireless channels; long-range adaptive prediction algorithm; method of images; physical channel modeling; position; receiving antenna; space diversity; transmitter diversity; typical channel parameter variation rate; wireless communications; worst-case channel parameter variation rate; Fading; Frequency; Interference; Prediction algorithms; Predictive models; Radio transmitters; Random processes; Receivers; Testing; Wireless communication;
Conference_Titel :
Signal Processing Advances in Wireless Communications, 1999. SPAWC '99. 1999 2nd IEEE Workshop on
Conference_Location :
Annapolis, MD
Print_ISBN :
0-7803-5599-7
DOI :
10.1109/SPAWC.1999.783099
