Electrical Engineering
      and Computer Sciences

Electrical Engineering and Computer Sciences


UC Berkeley


2009 Research Summary

Spatial Reuse for Practical Scenarios: Iterative Power Adjustment from Distributed Contour Estimation and Propagation

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Ahmad Bahai, Sofie Pollin and Bart Adams1

MICRO, European Commission, Interuniversity Micro-Electronics Center (IMEC)

The number of wireless networks that coexist in space is increasing steeply. To allow coexistence, while avoiding interference, it hence becomes more important to properly characterize the propagation contour where the received power of wireless transmitters reaches a certain threshold.

Detailed channel modeling taking into account the specificities of typical urban scenarios is however a very complex task since it requires very accurate modeling of the neighborhood.

Thanks to the widespread use of wireless access technology, it becomes feasible to use network nodes to estimate and communicate these propagation contours.

In this project, we propose a lightweight practical scheme for local contour estimation of a given transmitter. The local estimate is efficiently propagated to all other secondary transmitters that can then meet interference constraints optimally, i.e., without having to consider large safety margins that limit spatial reuse gains. This optimality is obtained through iterative power control based on true propagation contour distances and local pathloss estimates. The overhead of the estimation and communication phases are simulated to be close to linear in the number of nodes, so that the solution scales well.

The scheme can be used for optimal power control in practical wireless networks, or for the deployment of secondary networks in areas with primary transmitters that should be protected.

S. Pollin, B. Adams, A. Bahai, "Spatial Reuse for Practical Scenarios: Iterative Power Adjustment from Distributed Contour Estimation and Propagation," IEEE International Conference on Communications, 2008.

1Stanford University