NDLI: Approximation of geometry based stochastic channel models

Content Provider	IEEE Xplore Digital Library
Author	Jamsa, T. Iinatti, J.
Copyright Year	2009
Description	Author affiliation: Elektrobit, Oulu, Finland (Jamsa, T.) \|\| University of Oulu, Finland (Iinatti, J.)
Abstract	A geometry-based stochastic channel model discussed in this paper was developed in IST-WINNER I, WINNER II, and WINNER+ projects. The model is based on the same principles as, e.g., 3GPP SCM and ITU-R IMT-Advanced channel models, and the results are applicable to them as well. The complexity of the channel model has been under discussion within ITU-R working groups as well as in industry planning to perform system level simulations. The complexity reduction (approximation, simplification) is one key task to improve the model usability. However, the complexity reduction should be made without reducing the model accuracy and generality too much. When application of the model is known, more approximation can often be done. Therefore, this paper studies first application independent and then application dependent approximation. Approximation of an accurate model is always possible, and the methods are known, but doing vice versa is impossible without additional information. This paper proposes a number of approximation steps, and shows the impact of some steps on the outage capacity and semi-analytical BER. The results show that only very little approximation can be done when application is unknown, but much more approximation is possible for narrowband single-input single-output (SISO) systems.
Starting Page	693
Ending Page	697
File Size	340440
Page Count	5
File Format	PDF
ISBN	9781424440665
DOI	10.1109/WIRELESSVITAE.2009.5172532
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-05-17
Publisher Place	Denmark
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Solid modeling System testing WINNER Approximation Delay effects Bit error rate Stochastic processes Narrowband Geometry Capacity Channel model MIMO Large-scale systems Usability
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
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