Abstract
Finding the optimal transmit and receive beam pair for reliable communication can be challenging, especially in highly dynamic environments. Side-information from on-board sensors at the user equipment (UE) can be used to aid the beam management (BM) process. In this work, we use the orientation information coming from inertial measurement unit (IMU) for effective BM. Specifically, we use particle filter (PF) to fuse the reference signal received power (RSRP) information with orientation information. We perform extensive simulations using realistic ray-tracing channels, practical beam patterns, and various UE movement and rotation speeds. Simulation results show the proposed strategy can greatly improve the beam prediction accuracy and reduce the power loss caused by sub-optimal beam-selection.
Highlights
Communication at millimeter wave and terahertz (THz) frequencies is suitable for high data-rate applications owing to large bandwidth available [1]–[3]
WORK We proposed a beam management (BM) strategy based on fusing reference signal received power (RSRP) and orientation information using particle filter (PF)
The proposed strategy improves over RSRP-only BM, in cases that are favorable for using orientation information i.e., when the rotation is high and non-smooth and the RSRP information is available sporadically
Summary
Communication at millimeter wave (mmWave) and terahertz (THz) frequencies is suitable for high data-rate applications owing to large bandwidth available [1]–[3]. The high freespace path loss at these frequencies implies the use of a large antenna array with beamforming at the transmitter and receiver to achieve a sufficient link margin. Beam management (BM) is the process of finding and maintaining a suitable beam pair for communication [4]. We use the onboard sensor information as a side-information for effective BM at the UE. We use the orientation information coming from IMU in addition to RSRP information for BM. The orientation information is readily available as IMUs are part of several consumer electronics including mobile phones, augmented reality (AR)/virtual reality (VR) gadgets, and unmanned aerial vehicles (UAVs) etc
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