Conference contribution
(Conference Contribution)


Performance analysis of convolutionally-coded telegram splitting telemetry systems under different ISM/SRD collision behaviors


Publication Details
Author(s): Elshabrawy T, Nafie S, Robert J
Publisher: Institute of Electrical and Electronics Engineers Inc.
Publication year: 2016
ISBN: 9781467398145
Event: 2016 IEEE Wireless Communications and Networking Conference, WCNC 2016
Language: English

Abstract

Telemetry systems suffer from inter-system interference due to other technologies competing for the shared unlicensed ISM/SRD band. The resultant collisions could have a profound impact on the underlying BLER performance of telemetry systems. A telegram splitting approach has been recently proposed in the literature that suggests splitting transmitted telemetry blocks into multiple telegrams and transmitting them in a frequency hopping manner across multiple ISM/SRD channels. As a result, collisions probabilistically hit a subset of sent telegrams instead of destroying the whole block. In this paper, the BLER performance of convolutionally-coded telegram splitting is theoretically analyzed under different ISM/SRD collision behaviors. Particularly, ISM/SRD interference may exhibit deterministic, random and quasi-deterministic collision behaviors over transmitted telegrams. For each of the three collision modes, a binary erasure channel model accompanied by hard-decision decoding is presumed for collided bits. A Gaussian channel associated with soft-decision decoding is simulated and included for comparison. Numerical results suggest that by synchronizing the transmitted block and telegram sizes with the number of ISM/SRD channels to create either deterministic or quasi-deterministic collision scenarios, measurable BLER gains may be achieved. Furthermore, BLER performance could be significantly improved by deriving LLR information from collided bits in association with soft decision decoding.



How to cite
APA: Elshabrawy, T., Nafie, S., & Robert, J. (2016). Performance analysis of convolutionally-coded telegram splitting telemetry systems under different ISM/SRD collision behaviors. Institute of Electrical and Electronics Engineers Inc..

MLA: Elshabrawy, Tallal, Sally Nafie, and Jörg Robert. "Performance analysis of convolutionally-coded telegram splitting telemetry systems under different ISM/SRD collision behaviors." Proceedings of the 2016 IEEE Wireless Communications and Networking Conference, WCNC 2016 Institute of Electrical and Electronics Engineers Inc., 2016.

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