Paper Info
Title
Adaptive Beam-Frequency Allocation Algorithm With Position Uncertainty For Millimeter-Wave Mimo Systems
Abstract
Envisioned for fifth generation (5G) systems, millimeter-wave (mmWave) communications are under very active research worldwide. Although pencil beams with accurate beamtracking may boost the throughput of mmWave systems, this poses great challenges in the design of radio resource allocation for highly mobile users. In this paper, we propose a joint adaptive beam-frequency allocation algorithm that takes into account the position uncertainty inherent to high mobility and/or unstable users as, e.g., Unmanned Aerial Vehicles (UAV), for whom this is a major problem. Our proposed method provides an optimized beamwidth selection under quality of service (QoS) requirements for maximizing system proportional fairness, under user position uncertainty. The rationale of our scheme is to adapt the beamwidth such that the best trade-off among system performance (narrower beam) and robustness to uncertainty (wider beam) is achieved. Simulation results show that the proposed method largely enhances the system performance compared to reference algorithms, by an appropriate adaptation of the mmWave beamwidths, even under severe uncertainties and imperfect channel state information (CSIs).
Year
DOI
Venue
2018
10.1109/vtcspring.2018.8417622
2018 IEEE 87TH VEHICULAR TECHNOLOGY CONFERENCE (VTC SPRING)
Keywords
DocType
Volume
mmWave, radio resource allocation, interference management, 5G mobile communication systems
Conference
abs/1711.01800
Citations 
PageRank 
References 
0
0.34
2
Authors
4
Name
Order
Citations
PageRank
Rafail Ismayilov100.34
M. Kaneko226533.46
Takefumi Hiraguri34915.58
Kentaro Nishimori416531.27