DocumentCode
1641492
Title
Throughput analysis of RACH in UTRA-TDD on AWGN channel
Author
Yang, Yang ; Yum, Tak-Shing P.
Author_Institution
Dept. of Inf. Eng., Chinese Univ. of Hong Kong, Shatin, China
Volume
2
fYear
2001
fDate
6/23/1905 12:00:00 AM
Firstpage
572
Abstract
The random access channel (RACH) in UTRA-TDD is defined as an uplink contention-based transport channel that is mainly used to carry control information from mobile stations to base stations. We study the throughput performance of RACH on an additive white Gaussian noise (AWGN) channel whereby successful transmission of a burst requires the spreading code chosen to be collision-free and the burst error-free after convolutional decoding. Based on this model, the code-collision probability, the data bit error probability and the RACH channel capacity are derived. For spreading factor Q equal to 8 or 16 as specified in the standard, the maximum throughput obtained is 1.74 and 3.67, respectively
Keywords
AWGN channels; channel capacity; channel coding; convolutional codes; decoding; error statistics; mobile radio; spread spectrum communication; telecommunication congestion control; telecommunication switching; telecommunication traffic; 3G mobile communication; AWGN channel; RACH; UTRA-TDD; additive white Gaussian noise channel; base stations; channel capacity; code-collision probability; collision-free spreading code; contention-based transport; control information; convolutional decoding; data bit error probability; error-free burst; mobile stations; random access channel; third-generation mobile communication; throughput performance; uplink channel; AWGN channels; Additive white noise; Base stations; Convolutional codes; Decoding; Error probability; Gaussian noise; Multiaccess communication; Power control; Throughput;
fLanguage
English
Publisher
ieee
Conference_Titel
Vehicular Technology Conference, 2001. VTC 2001 Fall. IEEE VTS 54th
Conference_Location
Atlantic City, NJ
ISSN
1090-3038
Print_ISBN
0-7803-7005-8
Type
conf
DOI
10.1109/VTC.2001.956834
Filename
956834
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