doc.: IEEE /0003r0 Submission January 2007 Mark Austin and Peter Spital, OfcomSlide 1 SEAMCAT – A Tool for Coordination Between Technologies Notice: This document has been prepared to assist IEEE It is offered as a basis for discussion and is not binding on the contributing individual(s) or organization(s). The material in this document is subject to change in form and content after further study. The contributor(s) reserve(s) the right to add, amend or withdraw material contained herein. Release: The contributor grants a free, irrevocable license to the IEEE to incorporate material contained in this contribution, and any modifications thereof, in the creation of an IEEE Standards publication; to copyright in the IEEEs name any IEEE Standards publication even though it may include portions of this contribution; and at the IEEEs sole discretion to permit others to reproduce in whole or in part the resulting IEEE Standards publication. The contributor also acknowledges and accepts that this contribution may be made public by IEEE Patent Policy and Procedures: The contributor is familiar with the IEEE 802 Patent Policy and Procedures, including the statement "IEEE standards may include the known use of patent(s), including patent applications, provided the IEEE receives assurance from the patent holder or applicant with respect to patents essential for compliance with both mandatory and optional portions of the standard." Early disclosure to the TAG of patent information that might be relevant to the standard is essential to reduce the possibility for delays in the development process and increase the likelihood that the draft publication will be approved for publication. Please notify the Chair as early as possible, in written or electronic form, if patented technology (or technology under patent application) might be incorporated into a draft standard being developed within the IEEE TAG. If you have questions, contact the IEEE Patent Committee Administrator at. Date: Authors:

doc.: IEEE /0003r0 Submission January 2007 Mark Austin and Peter Spital, OfcomSlide 2 Spectrum Engineering Advanced Monte- Carlo Analysis Tool A Tool for Coordination Between Technologies

doc.: IEEE /0003r0 Submission January 2007 Mark Austin and Peter Spital, OfcomSlide 3 Sharing methods: Spacing radio systems in frequency –Guard bands Spacing geographically –Using the gaps between intended deployment areas Power and Location –Using appropriate technology in appropriate locations

doc.: IEEE /0003r0 Submission January 2007 Mark Austin and Peter Spital, OfcomSlide 4 Defining the sharing rules: Analytical analysis, usually by worst-case approach: –Minimum Coupling Loss (MCL) method, to establish rigid rules for minimum separation Statistical analysis of random trials: –The Monte-Carlo method, to establish probability of interference for a given realistic deployment scenario

doc.: IEEE /0003r0 Submission January 2007 Mark Austin and Peter Spital, OfcomSlide 5 MCL principle: The stationary worst-case is assumed Wanted Signal Victim InterfererD min, or minimum frequency separation for D=0 –However such worst-case assumption will not be permanent during normal operation and therefore, for mobile technologies, sharing rules tend to be unnecessarily stringent

doc.: IEEE /0003r0 Submission January 2007 Mark Austin and Peter Spital, OfcomSlide 6 Monte-Carlo principle: Repeated random generation of interferers and their parameters (activity, power, etc…) –After many trials not only unfavourable, but also favourable cases will be included. Reveals the service experienced by the user. Wanted Signal Inactive Interferer Victim Active Interferer t=t 0 t=t 1 t=t i

doc.: IEEE /0003r0 Submission January 2007 Mark Austin and Peter Spital, OfcomSlide 7 Monte-Carlo assumptions: User will need to define the distributions of various input parameters, e.g.: –How the power of interferer varies (PControl?) –How the interferers frequency channel varies –How the distance between interferer and victim varies, and many others If all of the variables in all of the trials are equally probable. –Results will inevitably reflect user experience

doc.: IEEE /0003r0 Submission January 2007 Mark Austin and Peter Spital, OfcomSlide 8 SEAMCAT: Spectrum Engineering Advanced Monte-Carlo Analysis Tool An open, free software tool for analysing the co- existence of radio systems Developed by engineers for use by administrators Supported by CEPT Maintained by the ERO

doc.: IEEE /0003r0 Submission January 2007 Mark Austin and Peter Spital, OfcomSlide 9 SEAMCAT: User defines a scenario, describing mutual positioning of two systems, in geographical domain… …as well as many other parameters:

doc.: IEEE /0003r0 Submission January 2007 Mark Austin and Peter Spital, OfcomSlide 10 Scenario parameters: Positioning of two systems in frequency Powers Masks Activity Etc.

doc.: IEEE /0003r0 Submission January 2007 Mark Austin and Peter Spital, OfcomSlide 11 SEAMCAT event generator: Random generation of transceivers Link budget Signal values

doc.: IEEE /0003r0 Submission January 2007 Mark Austin and Peter Spital, OfcomSlide 12 How event generator works: Succession of snapshots… VR WT 1) Calculate d, Ptx, GaTx, GaRx, L 2) Calculate dRSSi dRSS Snapshot# iRSS Snapshot# IT WR 1) Calculate d, Ptx, GaTx, GaRx, L 2) Calculate received signal, if PC, adjust Ptx 1) Calculate d, Ptx, GaTx, GaRx, L 2) Calculate iRSSi VR WT IT WR

doc.: IEEE /0003r0 Submission January 2007 Mark Austin and Peter Spital, OfcomSlide 13 Result of simulations: Vectors for wanted and interfering signals:

doc.: IEEE /0003r0 Submission January 2007 Mark Austin and Peter Spital, OfcomSlide 14 Evaluating interference: By comparing signal instances: - For each random event: Noise Floor (dBm) Desired signal value (dBm) Interfering signal (dBm) C/I trial > C/I target ? Interference (dB) - If C/I trial i >C/I target : good event - If C/I trial i <C/I target : interfered - Finally, after cycle of N all events: Overall P interference = 1- (N good /N all )

doc.: IEEE /0003r0 Submission January 2007 Mark Austin and Peter Spital, OfcomSlide 15 SEAMCAT-3 (2005): CDMA:

doc.: IEEE /0003r0 Submission January 2007 Mark Austin and Peter Spital, OfcomSlide 16 SEAMCAT-3: Interference into CDMA as capacity loss:

doc.: IEEE /0003r0 Submission January 2007 Mark Austin and Peter Spital, OfcomSlide 17 OFDM Modelling A new Feature for SEAMCAT Recognises the demand for mobile OFDM modelling. Builds on the proven capability of SEAMCAT Supported by: –CEPT Working Group SE –SE7, the Land Mobile Working Group –Qualcomm.

doc.: IEEE /0003r0 Submission January 2007 Mark Austin and Peter Spital, OfcomSlide 18 OFDMA The mobile variant of OFDM Key features: –Multiple slots per user –Sub-slot hopping on either a single symbol or a small group of symbols –Forward error correction over multiple symbols –Fast adjustment of Modulation and FEC

doc.: IEEE /0003r0 Submission January 2007 Mark Austin and Peter Spital, OfcomSlide 19 Key Assumptions Interference assumed to be corrected across multiple sub-slots by the forward error correction Mean data rate is assumed to be dependent on the mean C/I Segment is short enough that the modulation and forward error correction can rapidly respond to changing C/I.

doc.: IEEE /0003r0 Submission January 2007 Mark Austin and Peter Spital, OfcomSlide 20 Basis of Methodology For each snapshot: –The users will be randomly distributed –The users will be assigned to a base station –The C/I ratio for each terminal will be calculated –The required modulation and error correction will be looked up When the system is stable interference is applied –The effect on the C/I ratio will be calculated

doc.: IEEE /0003r0 Submission January 2007 Mark Austin and Peter Spital, OfcomSlide 21 Measuring the Results The output of the model will include: –Number of terminals unable to connect because of cell overload –Number of terminals unable to achieve required C/I before interference –Number of additional terminals rejected after interference –Data rate before and after interference

doc.: IEEE /0003r0 Submission January 2007 Mark Austin and Peter Spital, OfcomSlide 22 Testing the Concept Bespoke software have been used for Flash OFDM and WiMAX –Flash OFDM performance similar to real network Models revealed that customer outage is a more sensitive indicator of performance than data rate

doc.: IEEE /0003r0 Submission January 2007 Mark Austin and Peter Spital, OfcomSlide 23 New Variants of OFDM Certain that use of OFDM will increase TDD variants can use old SEAMCAT Technology specific plug-ins planned to permit easy adoption of future OFDMA implementations. –New plug-ins would be obtained by modifying existing plug-ins

doc.: IEEE /0003r0 Submission January 2007 Mark Austin and Peter Spital, OfcomSlide 24 SEAMCAT Proven Maintained Supported by the ERO Flexible Optimised for Land Mobile use An Open Technology on an Open Software platform

doc.: IEEE /0003r0 Submission January 2007 Mark Austin and Peter Spital, OfcomSlide 25 SEAMCAT A Solution for the Future Collect it from: – Thank You