NDLI: Prediction model for the GSM Dual Half Rate gain in a noise-limited environment based on field measurements and simulations

Content Provider	IEEE Xplore Digital Library
Author	Penttinen, J.T.J. Calabrese, F.D. Valerdi, D. Guemes, I.
Copyright Year	2011
Description	Author affiliation: Vodafone Center of Competence (CoC), Madrid, Spain (Valerdi, D.; Guemes, I.) \|\| Nokia Siemens Networks Innovation Center (NICE), Madrid, Spain (Penttinen, J.T.J.; Calabrese, F.D.)
Abstract	The GSM voice capacity can be enhanced by the OSC (Orthogonal Sub Channel) functionality. It allows the sharing of a Half Rate (HR) channel for two separate HR users. OSC makes the pairing of these HR users by dividing the modulation constellation into two separate parts in downlink, and by utilizing the non-correlating training sequences in uplink. OSC thus doubles the offered capacity in those areas where the network conditions allow the pairing. The pairing can be done if the received power level is high enough. In addition, there are quality triggers for the pairing and un-pairing, according to the applied OSC algorithm. This paper investigates the expected OSC gain by taking into account the typical OSC pairing criteria. The effect is analyzed based on the realistic outdoor field measurement data. Furthermore, a model for the OSC performance is developed. This model is utilized as a basis for the simulations that take into account the relevant parameter behavior of the OSC algorithm. The outcome is an estimate of the achievable OSC capacity gain based on the OSC capable handset penetration and network performance statistics, with an indication of optimal OSC parameter values.
Starting Page	597
Ending Page	602
File Size	174273
Page Count	6
File Format	PDF
ISBN	9781457706806
ISSN	15301346
e-ISBN	9781457706813
e-ISBN	9781457706783
DOI	10.1109/ISCC.2011.5983903
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-06-28
Publisher Place	Greece
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	GSM Telephone sets Probability Gain Predictive models Analytical models Optimization performance OSC Dual Half Rate radio network planning capacity optimization GSM voice evolution
Content Type	Text
Resource Type	Article
Subject	Signal Processing Mathematics Computer Networks and Communications Computer Science Applications Software

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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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