Specialist Task Force 511:
SmartBAN Performance and Coexistence Verification (PCV)
Who we are:
Team leader: |
|
Team Members: |
|
What we do
ETSI TC Smart Body Area Networks (SmartBAN) has defined physical (PHY) layer and medium access control (MAC) layer protocols in technical specification (TS) documents. Both TS documents, TS DTS/SmartBAN-007 and TS DTS/SmartBAN-005, have been approved by TC SmartBAN in January 29, 2015. However, the performance of the SmartBAN communication system has not yet been verified using any simulations or real-life demonstrations. In order to maintain high efficiency and quality of the standardisation, this STF is proposed for evaluate the performance and coexistence of the SmartBAN communication system in the targeted environment. In addition to the actual standardisation process, performance evaluation is necessary to achieve recognition among to potential implementers of the communication system among the key players in the industry. If the performance of the system is not evaluated or it is significantly delayed, it will have a high impact on the market potentiality of the SmartBAN communication system utilization.
The objective of this STF is to build the first simulation model based on the SmartBAN communication system with realistic PHY layers. In particular, a realistic radio channel model from open literature will be utilized and on top of that an additional measurement based interference model will be developed. Performance and coexistence evaluation of the SmartBAN PHY will be performed by simulations. Simulation results will confirm the quality of the defined models and may lead to improvement suggestions which can be implemented to the next version of the standard.
For more details, see our Terms of Reference
Why we do it
Modern medical and health monitoring equipment are moving towards the trend of wireless connectivity between the data collection or control centre and the medical devices or sensors. Therefore, the need for a standardized communication interfaces and protocols between the actors are required. This network of actors performing some medical monitoring or functions in this context is called a Smart Body Area Network (Smart BAN).
Most emerging radio technologies for Wireless Personal Area Networks (WPAN) are designed to operate around the 2.4 GHz ISM band. Since both standardized (such as Bluetooth and IEEE 802.11) and non-standardized (proprietary) devices use the same frequency band, interference may lead to significant performance degradation of medical (and other) devices operating in the band. The main goal of this task group is to describe the interference problem, and to highlight a coexistence framework for the medical information and communication technologies (ICT) to operate in a proximal environment. The measurement campaigns allow to formulate a mathematical model of the interference at the channel in the 2.36 – 2.5 GHz band. The model can be then used by everyone for evaluating the performance of a WBAN in real environments, such as hospital, home and office.
It is highly important to evaluate the performance of the defined SmartBAN PHY in order to convince the device manufactures that the solution is efficient and reliable. By providing the performance and, in the first place, the coexistence results, the success probability of the commercial implementations of the SmartBAN solution will increase and the delay of penetration to commercial solutions will decrease.
How we do it
The actual research work will be organized into two logical tasks. Task 1 produces physical layer channel and interference models that are utilized for coexistence verification. Task 1 will also include additional measurements campaigns in order to better model the interference and the channel, as well as the link budget for proper use of BAN in different environments. In Task 2, a MATLAB simulator according to channel and interference model obtained in Task 1 is built. Performance and coexistence of the SmartBAN communication system is evaluated in Task 3.
Deliverables
DTR/SmartBAN-006 - Measurements and Modelling of SmartBAN RF environment
Scope: To develop the model, a three-stage approach is used where the first two stages use empirical test results to estimate parameters and to substantiate the analytical model.
Measurements are evaluated based on the variations in the operational environment, which takes into account the uncertainty in an installations location. This evaluation points the potential trouble spots and helps in determining strategies for alleviating them.
Time plan
![](/portals/0/data:image/png;base64,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)
lorenzo.mucchi@unifi.it | matti.hamalainen@ee.oulu.fi
+39 055 2758539 | +358 40 524 3813
This information is based upon STF working assumptions.