Optimal linear precoding for opportunistic spectrum sharing with arbitrary input
Zhu Ru · Journal of Tsinghua University(Science and Technology) · 2013
Multiple input multiple output( MIMO) and cognitive radio( CR) are both effective methods to improve spectrum efficiencies.Linear precoding is needed to realize this goal but most existing algorithms are based on the Gaussian input assumption. This assumption limits the application of linear precoding. A linear precoding algorithm is given here which works for arbitrary input signals by combining the advantages of SVD( singular value decomposition) and MWF( mercury water filling) based on the relations between information theory and detection theory. This algorithm greatly improves the linear precoding. Simulations show that this algorithm is better than existing algorithms.