Predictive Resource Allocation in mmWave Systems with Rotation Detection

Yifei Sun1; Bojie Lv1; Rui Wang1; Haisheng Tan2; Francis C. M. Lau3

10.1109/ICC45041.2023.10278584

2023-05-28

IEEE International Conference on Communications (IEEE ICC)

1938-1883

978-1-5386-7463-5

ICC 2023 - IEEE International Conference on Communications

2023-May

2753-2759

28 May-1 June 2023

Rome, Italy

345 E 47TH ST, NEW YORK, NY 10017 USA

IEEE

Millimeter wave (MmWave) has been regarded as a promising technology to support high-capacity communications in 5G era. However, its high-layer performance such as latency and packet drop rate in the long term highly depends on resource allocation because mmWave channel suffers significant fluctuation with rotating users due to mmWave sparse channel property and limited field-of-view (FoV) of antenna arrays. In this paper, downlink transmission scheduling considering rotation of user equipments (UE) and limited antenna FoV in an mmWave system is optimized via a novel approximate Markov decision process (MDP) method. Specifically, we consider the joint downlink UE selection and power allocation in a number of frames where future orientations of rotating UEs can be predicted via embedded motion sensors. The problem is formulated as a finite-horizon MDP with non-stationary state transition probabilities. A novel low-complexity solution framework is proposed via one iteration step over a base policy whose average future cost can be predicted with analytical expressions. It is demonstrated by simulations that compared with existing benchmarks, the proposed scheme can schedule the downlink transmission and suppress the packet drop rate efficiently in non-stationary mmWave links.

Schedules Scheduling algorithms Transmitting antennas Downlink Motion detection Angular velocity Resource management

第一

英语

EI ; CPCI-S

Telecommunications

Telecommunications

WOS:001094862602142

20234815114515

5G mobile communication systems ; Antenna arrays ; Drops ; Iterative methods ; Markov processes ; Millimeter waves ; Packet loss

Electromagnetic Waves:711 ; Radio Systems and Equipment:716.3 ; Management:912.2 ; Numerical Methods:921.6 ; Probability Theory:922.1

IEEE

1.Southern University of Science and Technology, Shenzhen, China
2.University of Science and Technology of China, Hefei, China
3.The University of Hong Kong, Hong Kong, China

Yifei Sun,Bojie Lv,Rui Wang,et al. Predictive Resource Allocation in mmWave Systems with Rotation Detection[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2023:2753-2759.