2017/05/15 by Margarita Gapeyenko, Andrey Samuylov, Gapeyenko, Margarita +17 · 4 citations
Engineering · #Millimeter-Wave Propagation and Modeling #Advanced MIMO Systems Optimization #Power Line Communications and Noise
paper · pdf · doi:10.48550/arxiv.1705.08037
Millimeter-wave (mmWave) propagation is known to be severely affected by the\nblockage of the line-of-sight (LoS) path. In contrast to microwave systems, at\nshorter mmWave wavelengths such blockage can be caused by human bodies, where\ntheir mobility within environment makes wireless channel alternate between the\nblocked and non-blocked LoS states. Following the recent 3GPP requirements on\nmodeling the dynamic blockage as well as the temporal consistency of the\nchannel at mmWave frequencies, in this paper a new model for predicting the\nstate of a user in the presence of mobile blockers for representative 3GPP\nscenarios is developed: urban micro cell (UMi) street canyon and\npark/stadium/square. It is demonstrated that the blockage effects produce an\nalternating renewal process with exponentially distributed non-blocked\nintervals, and blocked durations that follow the general distribution. The\nfollowing metrics are derived (i) the mean and the fraction of time spent in\nblocked/non-blocked state, (ii) the residual blocked/non-blocked time, and\n(iii) the time-dependent conditional probability of having blockage/no blockage\nat time t1 given that there was blockage/no blockage at time t0. The latter is\na function of the arrival rate (intensity), width, and height of moving\nblockers, distance to the mmWave access point (AP), as well as the heights of\nthe AP and the user device. The proposed model can be used for system-level\ncharacterization of mmWave cellular communication systems. For example, the\noptimal height and the maximum coverage radius of the mmWave APs are derived,\nwhile satisfying the required mean data rate constraint. The system-level\nsimulations corroborate that the use of the proposed method considerably\nreduces the modeling complexity.\n