Massive multiple-input multiple-out (MIMO) is a promising technique for 5G cellular networks. Prior work showed that high throughput can be achieved with a large number of base station antennas through simple signal processing in massive MIMO networks. The performance of massive MIMO in a large-scale network with irregular base station locations and random user distributions is not yet fully understood.
Wireless communication via millimeter wave (mmWave) frequencies is a key component of future cellular systems. mmWave deployments will use beamforming with large antenna arrays by both the base stations and mobile stations to ensure sufficient received signal power. Prior work on coverage and rate of mmWave cellular networks focused mainly on the case when base stations and mobile users beamfomring vectors are perfectly designed for maximum beamforming gains.
Mobile wearable computing devices are rapidly making inroads due to advancements in miniature electronics fabrication technology, mobile wireless communication, efficient batteries, and increasingly capable data analytics. The major driver of the mobile electronics market has been fitness and healthcare gadgets. Recently, a new class of high-end wearable devices has emerged with relaxed power constraints and high data rate requirements.
Surface transportation safety can be enhanced by the use of wireless technologies, mainly automotive radar and vehicle-to-vehicle (V2V) communication. Automotive radar provides a high-resolution low-latency approach for a continuous automatic detection and ranging of both communication-enabled and non-communication-enabled transportation users. V2V systems rely on the collaborative communication between vehicles to achieve a real-time cooperative detection and ranging.