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Most existing works on physical-layer (PHY) cooperation (beyond routing)focus on how to best use a given, static relay network--while wireless networksare anything but static. In this paper, we pose a different set of questions:given that we have multiple devices within range, which relay(s) do we use forPHY cooperation, to maintain a consistent target performance? How can weefficiently adapt, as network conditions change? And how important is it, interms of performance, to adapt? Although adapting to the best path when routingis a well understood problem, how to do so over PHY cooperation networks is anopen question. Our contributions are: (1) We demonstrate via theoreticalevaluation, a diminishing returns trend as the number of deployed relaysincreases. (2) Using a simple algorithm based on network metrics, weefficiently select the sub-network to use at any given time to maintain atarget reliability. (3) When streaming video from Netflix, we experimentallyshow (using measurements from a WARP radio testbed employing DIQIF relaying)that our adaptive PHY cooperation scheme provides a throughput gain of 2x overnonadaptive PHY schemes, and a gain of 6x over genie-aided IP-level adaptiverouting.

Consistency in the face of change: an adaptive approach to physical layer cooperation