A Power Efficient Sensing/Communication Scheme: Joint Source-Channel-Network Coding by Using Compressive Sensing
The authors propose a joint source-channel-network coding scheme, based on compressive sensing principles, for wireless networks with AWGN channels (that may include multiple access and broadcast), with sources exhibiting temporal and spatial dependencies. Their goal is to provide a reconstruction of sources within an allowed distortion level at each receiver. They perform joint source-channel coding at each source by randomly projecting source values to a lower dimensional space. They consider sources that satisfy the Restricted Eigenvalue (RE) condition as well as more general sources for which the randomness of the network allows a mapping to lower dimensional spaces. Their approach relies on using analog random linear network coding.