論文發表人: 翁竟智(加州理工學院電機系)
http://www.asilomarssc.org/
收發器的優化問題的MIMO渠道在過去被考慮過使用線性接收器以及與判決反饋（有限元）接收器。聯合優化比特分配，先行編碼器，並均衡在過去被認為只用於線性收發器（收發器與線性先行編碼器和線性均衡器） 。也有人指出，利用有限元甚至沒有比特分配的一般結果性能更好，線性收發比特分配。本文提供了一個一般性研究這個的收發器與迫零的制約因素。這是正式表明，當比特分配，先行編碼器，並均衡共同優化，線性收發器和收發器與有限元有相同的性能，即發射功率是相同的某一比特率和錯誤概率。發展本文是基於廣義三角分解(GTD)。這將是表明了廣泛的GTD階級為基礎的系統的最佳解決有限元問題，比特分配。在特殊情況下，線性收發最佳比特分配將成為其中一個解決辦法。
The transceiver optimization problem for MIMO channels has been considered in the past with linear receivers as well as with decision feedback (DFE) receivers. Joint optimization of bit allocation, precoder, and equalizer has in the past been considered only for the linear transceiver (transceiver with linear precoder and linear equalizer). It has also been observed that the use of DFE even without bit allocation in general results in better performance that linear transceivers with bit allocation. This paper provides a general study of this for transceivers with the zero-forcing constraint. It is formally shown that when the bit allocation, precoder, and equalizer are jointly optimized, linear transceivers and transceivers with DFE have identical performance in the sense that transmitted power is identical for a given bit rate and error probability. The developments of this paper are based on the generalized triangular decomposition (GTD) recently introduced by Jiang, Li, and Hager. It will be shown that a broad class of GTD-based systems solve the optimal DFE problem with bit allocation. The special case of a linear transceiver with optimum bit allocation will emerge as one of the many solutions. 
