Abstract
In this paper, a novel 3 dimensional (3D) approach is proposed for precise modeling of massive multiple input multiple output (M-MIMO) channels in millimeter wave (mmW) frequencies. This model is based on both deterministic and statistic computations to extract characteristics of the propagation channel. In order to increase algorithm execution speed, the physical channel is divided into two regions. The first region refers to those parts of the channel which can be mapped with simple planes such as walls, ramps and etc. The second region is usually complex which is defined by considering the channel with physical clusters. These physical clusters yield multipath components (MPCs) with similar angles of arrival (AoA) and time delay. The ray-tracing algorithm is utilized to find ray paths from transmitter (Tx) to receiver (Rx). Some characteristics of MPCs in each cluster are defined according to some appropriate statistical distribution. The non-stationary property of M-MIMO along the antenna array axis is considered in the algorithm. Due to the correspondence between the propagation environment and scatters, the accuracy of the model is highly increased. To evaluate the proposed channel model, simulation results are compared with some measurements reported in the literature.
Highlights
The fifth generation (5G) of wireless communication systems has attracted extensive amount of research efforts and attentions
A novel channel model for massive multiple input multiple output (M-MIMO) over millimeter wave (mmW) has been proposed in this paper for 5G networks
The second mode of the channel modeling algorithm is applied to characterize different objects located in the propagation environment
Summary
The fifth generation (5G) of wireless communication systems has attracted extensive amount of research efforts and attentions. The M-MIMO systems may confront with non-stationary properties across the array axis This phenomenon is usually neglected in the case of conventional MIMO channels [17]. In [44], a 3D vehicle M-MIMO channel model has been proposed where the spherical wavefront with non-stationary conditions has been considered to statistically derive channel parameters. A novel 3D hybrid channel model is proposed for wireless communication systems with the capability of simulating M-MIMO mmW channels. Other main characteristics of the channel such as delay spread, AoA and angle of departure (AoD) are extracted This proposed model has high accuracy, and takes little computational time to model whole M-MIMO channel. Since the modeling procedure is performed in two successive deterministic and stochastic modes, it can adopt to the real propagation environments, despite its simplicity of implementation.
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