Compressed mapping of communication signal strength

In this paper we consider a mobile cooperative network that is tasked with building a map of the received signal strength to a fixed station. By using the recent results in the area of compressed sensing, we show how the nodes can exploit the sparse representation of the channelpsilas spatial variations to build a map of the signal strength with minimal sensing. We furthermore propose a successive interference cancellation method for signal reconstruction based on a considerably incomplete set of measurements. The proposed method is an extension of the existing signal reconstruction strategies but with a considerably better performance. Finally, we present simulation results that show the performance of the proposed framework.