Papers
Topics
Authors
Recent
Search
2000 character limit reached

Fieldable Cross-Layer Optimized Embedded Software Defined Radio is Finally Here!

Published 3 Oct 2021 in cs.NI | (2110.01080v1)

Abstract: The concept of cross-layer optimization has been around for several years now. The primary goal of the cross-layer approach was to liberate the strict boundary between the layers of the traditional OSI protocol stack. This is to enable information flow between layers which then can be leveraged to optimize the network's performance across the layers. This concept has been of keen interest for tactical application as there is an overwhelming requirement to operate in a challenging and dynamic environment. The advent of software defined radios (SDR) accelerated the growth of this domain due to the added flexibility provided by SDRs. Even with the immense interest and progress in this area of research, there has been a gaping abyss between solutions designed in theory and ones deployed in practice. To the best of our knowledge, this is the first time in literature, an embedded SDR has been leveraged to successfully design a cross-layer optimized transceiver that provides high throughput and high reliability in a ruggedized, weatherized, and fieldable form-factor. The design ethos focuses on efficiency and flexibility such that optimization objectives, cross-layer interactions can be reconfigured rapidly. To demonstrate our claims, we provide results from extensive outdoor over-the-air evaluation in various settings with up to 10-node network typologies. The results demonstrate high reliability, throughput, and dynamic routing capability achieving high technology readiness level (TRL) for tactical applications.

Citations (2)

Summary

No one has generated a summary of this paper yet.

Paper to Video (Beta)

No one has generated a video about this paper yet.

Whiteboard

No one has generated a whiteboard explanation for this paper yet.

Open Problems

We haven't generated a list of open problems mentioned in this paper yet.

Continue Learning

We haven't generated follow-up questions for this paper yet.

Collections

Sign up for free to add this paper to one or more collections.