DocumentCode
3045499
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
fYear
1999
fDate
1999
Firstpage
387
Lastpage
390
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/SPAWC.1999.783099
Filename
783099
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