Neural Network Approaches to Point Lattice Decoding
IEEE Transactions on Information Theory(2022)
摘要
We characterize the complexity of the lattice decoding problem from a neural network perspective. The notion of Voronoi-reduced basis is introduced to restrict the space of solutions to a binary set. On the one hand, this problem is shown to be equivalent to computing a continuous piecewise linear (CPWL) function restricted to the fundamental parallelotope. On the other hand, it is known that any ...
更多查看译文
关键词
Lattices,Decoding,MIMO communication,Complexity theory,Biological neural networks,Deep learning,Matrix decomposition
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络