Signaling-Assisted MAP-Based Modulation Classification in Adaptive MIMO OFDM Systems

This paper proposes a novel signaling-assisted maximum-a-posteriori (MAP)-based modulation classification (MC) algorithm for adaptive multiple- input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems. For a high classification reliability, the MC method utilizes the received signal form, truncated signaling information and channel reciprocity in wireless time-division duplex (TDD) systems. Investigated in a typical indoor propagation scenario, numerical results reveal a superior performance of the proposed adaptive technique in terms of the effective bandwidth efficiency compared to conventional signaling-based adaptive and non- adaptive transmission methods.