The method is illustrated for two different 4-element linear arrays at 39 GHz, based on patch or monopole elements, integrated into smartphones. Their performance is compared under similar conditions, revealing that, unless array switching is employed, the smartphone’s form factor and user influence will mask any potential advantage of the unperturbed array characteristics.

IntroductionĥG is the wireless technology being currently developed to sustain the high amounts of data rate, connections, bandwidth and low latency requirements that come with more users, devices, and ambitious endeavors such as Smart Cities or Autonomous Vehicles.

However, the topic of 5G is still somewhat abstract when it comes to millimeter-wave (mm-Wave) antenna technologies. In the mm-Wave domain, contrary to sub-6 GHz antenna design for cellular hand held devices, the antennas take a much bigger part in the performance and feasibility of the system and should not be disregarded. 5G mm-Wave raises a major antenna paradigm shift, since it requires higher gain and beam steering ability. Therefore, this new dynamic antenna behavior calls for a weaving of beam control and Multiple-In-Multiple-Out (MIMO) functions.ĭespite the existence of mm-Wave antennas in radio infrastructures being deployed in the near future, mm-Wave antenna technologies for 5G cellular handsets are still at their early stages. There is still no standardized method to design and implement these antennas in mobile phones due to the lack of knowledge on mm-Wave 5G wireless system benchmarks. This prevents the impact evaluation of design parameters such as user influence, handset effects, and gain coverage, since there is not a reference for comparison.

This paper proposes a methodology, the mm-Wave Antenna Evaluation for Smartphone Implementation (mmWAESI) method, a practical procedure intended to evaluate the performance of different MIMO mm-Wave antenna implementations in a 5G system for smartphone implementation.

It does so by blending two dimensions of antenna performance analysis: multipath channel modeling and realistic antenna characterization and environment constraints. Despite being equally important to the feasibility of antenna array implementation in mm-Wave communications, these two approaches are usually studied separately. Therefore, the mmWAESI combines them through a two-step metric that incorporates the real effects of mm-Wave antenna design constraints in 5G system performance evaluation. In the first step of the method, the Coverage Study Step, the array’s beamforming potential is evaluated in terms of spatial gain coverage using a MATLAB developed toolbox, the Antenna Pattern Analysis Toolbox (APA TBX), to create a coverage area percentage curve.

Mastin labs torrents