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2016

Low-Complexity MU-MIMO Nonlinear Precoding Using Degree-2 Sparse Vector Perturbation

3 years 7 months ago
Low-Complexity MU-MIMO Nonlinear Precoding Using Degree-2 Sparse Vector Perturbation
Abstract—Multiuser multiple-input multiple-output (MUMIMO) nonlinear precoding techniques face the problem of poor computational scalability to the size of the network. In this paper, the fundamental problem of MU-MIMO scalability is tackled through a novel signal-processing approach, which is called degree-2 vector perturbation (D2VP). Unlike the conventional VP approaches that aim at minimizing the transmit-to-receive energy ratio through searching over an N-dimensional Euclidean space, D2VP shares the same target through an iterative-optimization procedure. Each iteration performs vector perturbation over two optimally selected subspaces. By this means, the computational complexity is managed to be in the cubic order of the size of MUMIMO, and this mainly comes from the inverse of the channel matrix. In terms of the performance, it is shown that D2VP offers comparable bit-error-rate to the sphere encoding approach for the case of small MU-MIMO. For the case of medium and large MU-...
Yi Ma, Abderraouf Yamani, Na Yi, Rahim Tafazolli
Added 07 Apr 2016
Updated 07 Apr 2016
Type Journal
Year 2016
Where JSAC
Authors Yi Ma, Abderraouf Yamani, Na Yi, Rahim Tafazolli
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