It takes the average reader and 50 minutes to read Adaptive Lattice Reduction in MIMO Systems by Mohammad Erfan Danesh Jafari
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In multiple-input multiple-output (MIMO) systems, the use of lattice reduction methods such as the one proposed by Lenstra-Lenstra-Lovasz (LLL) significantly improves the performance of the suboptimal solutions like zero-forcing (ZF) and zero-forcing deceision-feedback-equalizer (ZF-DFE). Today's high rate data communication demands faster lattice reduction methods. Taking advantage of the temporal correlation of a Rayleigh fading channel, a new method is proposed to reduce the complexity of the lattice reduction methods. The proposed method achieves the same error performance as the original lattice reduction methods, but significantly reduces the complexity of lattice reduction algorithm. The proposed method can be used in any MIMO scenario, such as the MIMO detection, and broadcast cases, which are studied in this work.
Adaptive Lattice Reduction in MIMO Systems by Mohammad Erfan Danesh Jafari is 49 pages long, and a total of 12,691 words.
This makes it 17% the length of the average book. It also has 16% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 1 hour and 9 minutes to read Adaptive Lattice Reduction in MIMO Systems aloud.
Adaptive Lattice Reduction in MIMO Systems is suitable for students ages 8 and up.
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