Evaluating the spatial resolution of 2D antenna arrays for massive MIMO transmissions

Massive MIMO has been identified as one of the key technologies for the 5th generation of mobile cellular networks. By utilizing 2D antenna arrays with a large number of antenna elements, it enables to form orthogonal beams towards spatially separated User Equipments (UEs). In this paper we evaluate the channel energy and the average throughput of typical indoor- and outdoor UEs at various heights and distances to the macro site. Our goal is to demonstrate the achievable spatial resolution of the beamforming in vertical direction with large antenna arrays. Existing work on directional beamforming strategies is commonly based on simplistic signal propagation assumptions under LOS conditions. This paper considers a realistic 3D channel model that also accounts for multi-path propagation under NLOS conditions. Our results exhibit the dependency of the achievable spatial resolution on both, the size of the antenna array as well as the channel conditions. They show that depending on whether the UE is located indoors or outdoors, the channel has an opposing impact on the achievable spatial resolution.

[1]  Markus Rupp,et al.  Implementation, validation and application of the 3GPP 3D MIMO channel model in open source simulation tools , 2015, 2015 International Symposium on Wireless Communication Systems (ISWCS).

[2]  Takehiko Kobayashi,et al.  Microwave path-loss modeling in urban line-of-sight environments , 2002, IEEE J. Sel. Areas Commun..

[3]  Zwi Altman,et al.  Virtual Sectorization: Design and Self-Optimization , 2015, 2015 IEEE 81st Vehicular Technology Conference (VTC Spring).

[4]  Jeffrey G. Andrews,et al.  What Will 5G Be? , 2014, IEEE Journal on Selected Areas in Communications.

[5]  Markus Rupp,et al.  Runtime Precoding: Enabling Multipoint Transmission in LTE-Advanced System-Level Simulations , 2015, IEEE Access.

[6]  Markus Rupp,et al.  3GPP 3D MIMO channel model: a holistic implementation guideline for open source simulation tools , 2016, EURASIP J. Wirel. Commun. Netw..

[7]  24th European Signal Processing Conference, EUSIPCO 2016, Budapest, Hungary, August 29 - September 2, 2016 , 2016, European Signal Processing Conference.

[8]  Erik G. Larsson,et al.  Massive MIMO for next generation wireless systems , 2013, IEEE Communications Magazine.

[9]  Yang Song,et al.  Investigation on elevation beamforming for future LTE-Advanced , 2013, 2013 IEEE International Conference on Communications Workshops (ICC).

[10]  Gerhard Fettweis,et al.  Coverage and Capacity Optimization in Cellular Radio Networks with Advanced Antennas , 2015, WSA.