A New Statistical Model of Human-induced Multipath Dynamics in mmWaves Channels

Design and standardization of future millimeter-wave (mmWave) wireless communications systems require accurate models of wireless propagation channels, with special attention to the effects on received power and delay spread of human bodies moving randomly in the surrounding environment, acting as reflectors or absorbers. This paper proposes a new statistical model of the real-time dynamics of the channel responses at mmWaves in the presence of a human body moving randomly in an office environment between and around the antennas. The model is based on real-world measurements based on a pseudonoise (PN)-sequence channel sounder at 60 GHz with a bandwidth of 1.2 GHz. Our model provides channel statistics to characterize the amplitudes and arrival times of the weak multipath components (MPCs) originated by reflections/obstruction by the human body. The results also demonstrate that future mmWave systems could exploit these additional MPCs and benefit from human interactions.