TIA TSB-88.3-D:2013
$30.55
Wireless Communications Systems Performance in Noise and Interference-Limited Situations – Part 3: Recommended Methods for Technology Independent Performance Verification
Published By | Publication Date | Number of Pages |
TIA | 2013 | 106 |
The TSB-88 Series
The TSB-88 series of bulletins provides guidance on the
following areas:
- Establishment of standardized methodology for modeling and
simulating various and different bandwidth efficient technologies
operating in a post "Refarming" environment or in new frequency
band allocations; - Recommended databases and propagation models that are available
for improved results from modeling and simulation; - Establishment of a standardized methodology for empirically
confirming the performance of various and different bandwidth
efficient systems operating in a post "Refarming" environment or in
new frequency band allocations, and; - Combining the modeling, simulation and empirical performance
verification methods into a unified family of data sets or
procedures which can be employed by frequency coordinators, systems
engineers, system operators or software developers;
The purpose of these documents is to define and advance a
standardized methodology to analyze compatibility of different
technologies from a technology neutral viewpoint. They provide
recommended technical parameters and procedures from which
automated design and spectrum management tools can be developed to
analyze proposed configurations that can temporarily exist during a
"rebanding" migration process as well as for longer term solutions
involving different technologies.
As wireless communications systems evolve, it becomes
increasingly complex to determine compatibility between different
types of modulation, different channel bandwidths, different
operational protocols, different operational geographic areas, and
application usage.
Thus, spectrum managers, system designers and system maintainers
have a common interest in utilizing the most accurate and
repeatable modeling and simulation capabilities to determine likely
system performance. With increasing spectrum allocation complexity,
both in terms of modulation techniques offered, channel bandwidths
available and in the number of entities involved in wireless
communications systems, a standardized approach and methodology is
needed for the modeling and simulation of these systems, in all
frequency bands of interest.
In addition, after deployment, validation or acceptance testing
is often an issue subject to much debate and uncertainty. Long
after a system is in place and optimized, future interference
dispute resolution demands application of an industry accepted and
standardized methodology for assessing system performance and
interference.
These documents contain recommendations for both public safety
and nonpublic safety performance that ought to be used in the
modeling and simulation of these systems. These documents also
satisfy the desire for a standardized empirical measurement
methodology that is useful for routine proof-ofperformance and
acceptance testing and in dispute resolution of interference cases
that are likely to emerge in the futur
To provide this utility necessitates that specific manufacturers
define various performance criteria for the different capabilities
and their specific implementations. Furthermore, sufficient
reference information is provided so that software applications can
be developed and employed to determine if the desired system
performance has been realized.
Wireless system performance can be modeled and simulated with
the effects of single or multiple potential distortion sources
taken into account as well as the defined performance parameters
and verification testing. These include:
- Performance parameters
- Co-channel users
- Off-channel users
- Internal noise sources
- External noise sources
- Equipment non-linearity
- Transmission path geometry and transmission loss modeling
- Delay spread and differential signal phase
- Over the air and network protocols
- Performance verification
Predictions of system performance can then be evaluated based on
the desired RF carrier versus the combined effects of single or
multiple performance degrading sources. Performance is then based
on a faded environment to more accurately simulate actual usage
considering all the identified parameters and potential degradation
sources.
It is anticipated that these documents will serve as a
recommended best practices reference for developers and suppliers
of land mobile communications system design, modeling, simulation
and spectrum management software and automated tools.