Title :
Precoding design for of DMA uplink antenna selection system
Author :
Deng, Juinn-horng ; Jang, Yuh-cherng
Author_Institution :
Dept. of Commun. Eng., Yuan Ze Univ., Chungli, Taiwan
Abstract :
In this study, an antenna selection method is studied in a precoding OFDMA uplink system for the upcoming 4G cellular era. Candidates for 4G system include WiMAX 2.0 and 3GPP L TE-Advanced. This study specifically addresses the situation that the receiver possesses limited RF modules. The common carrier frequency offset (CFO) problem is considered, which brings along the problems of inter carrier interference (ICI) and multiple access interference (MAI). This study proposes a novel method to effectively eliminate annoying MAl in a multiuser uplink system by using the R matrix, which comes after applying QR dirty paper coding (QR-DPC) to the equivalent channel response matrices. Moreover, the R matrix helps to select antenna. The BER performance of the proposed method is better than the well known Shannon-Hartley theorem.
Keywords :
4G mobile communication; OFDM modulation; cellular radio; error statistics; frequency division multiple access; intercarrier interference; precoding; 3GPP LTE-Advanced; 4G cellular era; 4G system; BER; DMA uplink antenna selection system; ICI; MAI; QR dirty paper coding; QR-DPC; R matrix; RF modules; Shannon-Hartley theorem; WiMAX 2.0; antenna selection method; equivalent channel response matrices; inter carrier interference; multiple access interference; multiuser uplink system; precoding OFDMA uplink system; precoding design; Abstracts; Discrete Fourier transforms; Interference cancellation; Signal to noise ratio; Antenna selection; Carrier frequency offset; Dirty paper coding; Multiple access interference; OFDMA;
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2012 International Conference on
Conference_Location :
Xian
Print_ISBN :
978-1-4673-1484-8
DOI :
10.1109/ICMLC.2012.6359613