NDLI: Improving the performance of IS-54/136 through the use of the MDM scheme

Content Provider	IEEE Xplore Digital Library
Author	Haas, Z.J. Li, C.-P.
Copyright Year	1998
Description	Author affiliation: Sch. of Electr. Eng., Cornell Univ., Ithaca, NY, USA (Haas, Z.J.)
Abstract	In this paper, we analyze the performance of the multiply-detected macrodiversity (MDM) scheme over a correlated-error channel that uses a convolutional coder and a soft decision Viterbi decoder. The MDM scheme is a post-detection combining technique; i.e., the signal from the target mobile is detected by three base-stations simultaneously and the digital data are sent to a central point for combining, which is based on the maximum likelihood criterion. In particular, we have applied our evaluation framework to the IS-54/136 standard, examining the MDM improved performance in its speech channel and in its fast associated control channel (FACCH). These performance figures were then compare with the performance of the traditional selection-based macrodiversity schemes. Our results show that through the use of the MDM scheme, significant improvement can be achieved in the IS-54/136 cellular systems. As few points of reference, for power loss exponent of 4.0 and shadow fading standard deviation of 4.0 dB, the MDM scheme can eliminate about 50% of the FACCH outage events, as compared with the (S/I)-diversity. This corresponds to an increase in the user capacity of 20%-60%. In addition, the word error rate of the FACCH can be decreased, on average, by at least one order of magnitude throughout 80% of the cell area for the power loss exponent of 3.5 and the shadow-fading standard deviation of 8.0 dB.
Starting Page	1080
Ending Page	1084
File Size	603222
Page Count	5
File Format	PDF
ISBN	0780343204
ISSN	10903038
DOI	10.1109/VETEC.1998.686406
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1998-05-21
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Convolutional codes Viterbi algorithm Maximum likelihood detection Maximum likelihood decoding Error analysis Protection Maximum likelihood estimation Uniform resource locators Performance analysis Convolution
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in