This study proposes a faster-than-Nyquist (FTN) single-carrier multiple-input multiple-output (MIMO) signaling scheme considering the effects of colored noise. In this approach, frequency-domain equalization (FDE) is considered as a practical receiver. Moreover, since FTN signaling generally induces colored noise, the proposed scheme considers its impact on FDE weight generation for improved detection accuracy of FTN-MIMO signaling. The effectiveness of the proposed scheme is demonstrated in terms of both bit error rate (BER) and throughput via the compression factor parameters and MIMO antenna configuration through computer simulations.
Massive multiuser multiple-input multiple-output (MU-MIMO), in which access points (APs) with a lot of antennas transmit to a lot of stations (STAs) with a few antennas, is attractive for wireless LAN systems due to its potential to greatly increase throughput. However, the throughput improvement at media access control-service access point (MAC-SAP) in massive antenna systems is limited by the overhead imposed by channel state information (CSI) feedback. In this letter, we clarify the problem of CSI feedback and evaluate two frame sequences with implicit CSI feedback (ICF) for downlink (DL-) MU-MIMO systems. The use of ICF eliminates the overhead of CSI feedback because MU-MIMO precoding weight is generated from the uplink CSI using a calibation matrix that compensates the channel responce differences between the transmitter and the receiver. This letter validates the effectiveness of DL-MU-MIMO with ICF by a performance evaluation at MAS-SAP in a comparson with the conventional approach which needs CSI feedback.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.