Investigation of Sphere Decoder and Channel Tracking Algorithms for Media-Based Modulation over Time-Selective Channels

Abstract

The performance of media-based modulation (MBM) systems, where additional information can be conveyed by the indices of the channel states created by RF mirrors, over time-selective channels is investigated. By transforming the MBM system model into a traditional MIMO system model, we first propose a reduced complexity sphere decoder algorithm. Then two channel tracking algorithms, which are based on least mean square adaptive filter and recursive least-squares adaptive filter, are employed in order to combat the performance loss caused by the time-varying channels. Numerical results show that the proposed sphere decoder and these two channel tracking algorithms perform well in MBM systems.

Mobility Support for Millimeter Wave Communications: Opportunities and Challenges

“…Future research directions include efficient CSI acquisition [271], [273] to reduce pilot overhead, reliable reconfigurable antenna design [269], [274] to fully realize the potential of MBM, and effectively integrating the MBM technology with other promising technologies [275] to optimize the performance of future mobile networks.…”