Profile
International Journal of Computer & Software Engineering Volume 4 (2019), Article ID 4:IJCSE-142, 7 pages
https://doi.org/10.15344/2456-4451/2019/142
Research Article
Near Optimum User Selection for Minimum Mean Square Error Based Tomlinson Harashima Precoding

Satoshi Denno1*, Tomoyuki Baba1, Kenta Asaka2 and Yafei Hou1

1Graduate School of Natural Science and Technology, Okayama University, Okayama, Japan
2Department of the Engineering, Okayama University, Okayama, Japan
Prof. Satoshi Denno, Graduate School of Natural Science and Technology, Okayama University, Okayama, Japan; E-mail: denno@ec.okayama-u.ac.jp
27 December 2018; 29 January 2019; 31 January 2019
Denno S, Baba T, Asaka K, Hou Y (2019) Near Optimum User Selection for Minimum Mean Square Error Based Tomlinson Harashima Precoding. Int J Comput Softw Eng 4: 142. doi: https://doi.org/10.15344/2456-4451/2019/142
This work has been supported by JSPS KAKENHI Grant Number JP18K04142 and NTT DoCoMo, Co.Ltd.

Abstract

This paper proposes novel user selection techniques for the Tomlinson-Harashima precoding (THP) based on the minimum mean square error (MMSE) criterion. These techniques utilize a part of the intermediate values in the derivation of the THP weight, which makes it possible to implement the techniques with lower computational complexity. For further complexity reduction, we propose successive user selection techniques based on the techniques proposed above where user terminals are selected one by one. It is confirmed by computer simulations that the proposed techniques outperform conventional selection techniques. The computational complexity of the successive selection techniques is about 1/20 as small as that of the original selection techniques when 4 user terminals are selected out of 10 terminals.