  In this paper we study multi-task oriented communication system via studying
analog encoding method for multiple estimation tasks. The basic idea is to
utilize the correlation among interested information required by different
tasks and the feature of broadcast channel. For linear estimation tasks, we
provide a low complexity design for multi-user multi-task system based on
orthogonal decomposition of subspaces. It is proved to be optimal in some
special cases, and for general cases, numerical results also show it can
achieve near-optimal performance. Further, we make a trial to migrate above
method to neural networks based non-linear estimation tasks, and it also shows
improvement in energy efficiency.
