Location-based Mechanism for Positioning of a Mobile Relay


F. Lemic, A. Behboodi, V. Handziski, A. Zubow, R. Mathar, A. Wolisz,


        Leveraging a relay for communication is a promising approach for improving throughput, coverage, and energy eeciency in wireless networks. A mobile relay that is capable of positioning itself at diierent locations opens the possibility for dynamic optimization of the path quality between the source and the nomadic destination. How to optimally position the mobile relay in order to maximize the path quality, however, remains a challenging task. Under the assumption that the physical location information of the devices are either known or can be estimated, we propose a mechanism for positioning of the mobile relay with the aim of maximizing the Signal-to-Noise Ratio (SNR) between the source and the destination. e proposed mechanism takes into account the practically unavoidable inaccuracies of estimated locations, as well as the propagation characteristics of a served environment. Using WiFi as an example technology, we experimentally evaluate the proposed mechanism in a complex indoor environment with the support of a speciically designed testbed infrastructure. For relatively small lo-calization errors, our results show less than 4 dB diierence between the measured SNR at optimal locations and the SNR at locations yielded by the proposed mechanism. Our results also illustrate how the quality of the paths created by the proposed positioning mechanism degrades in the face of increasing localization errors.


Mobile relay, location information, location awareness, propagation modeling, multi-wall model

BibTEX Reference Entry 

	author = {Filip Lemic and Arash Behboodi and Vlado Handziski and Anatolij Zubow and Rudolf Mathar and Adam Wolisz},
	title = "Location-based Mechanism for Positioning of a Mobile Relay",
	booktitle = "The 13th ACM International Symposium on {QoS} and Security for Wireless and Mobile Networks (Q2SWinet)",
	address = {Miami, Florida, USA},
	month = Nov,
	year = 2017,
	hsb = RWTH-CONV-220336,


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