Multi-Head Transformer Architecture with Higher Dimensional Feature Representation for Massive MIMO CSI Feedback
Qing Chen,
Aihuang Guo,
Yaodong Cui
Abstract:To achieve the anticipated performance of massive multiple input multiple output (MIMO) systems in wireless communication, it is imperative that the user equipment (UE) accurately feeds the channel state information (CSI) back to the base station (BS) along the uplink. To reduce the feedback overhead, an increasing number of deep learning (DL)-based networks have emerged, aimed at compressing and subsequently recovering CSI. Various novel structures are introduced, among which Transformer architecture has enab… Show more
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