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Position Fingerprint-Based Beam Selection in Millimeter Wave Heterogeneous Networks.
1School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China. zhangzf@cqupt.edu.cn.
Sensors (Basel, Switzerland)
|September 2, 2017
Summary
This study introduces a position fingerprint (PFP)-based beam selection scheme for millimeter wave (mmWave) massive MIMO systems. The PFP approach reduces complexity and interference, improving system performance.
Area of Science:
- Wireless Communication
- Signal Processing
- Telecommunications Engineering
Background:
- Traditional beam selection in mmWave massive MIMO relies on perfect Channel State Information (CSI) feedback.
- Existing algorithms often involve extensive feedback and exhaustive search, leading to high computational complexity.
Purpose of the Study:
- To propose a Position Fingerprint (PFP)-based beam selection scheme for mmWave multi-cell systems.
- To reduce computational complexity and inter-cell interference compared to traditional methods.
Main Methods:
- Developed a PFP-based scheme storing beam IDs and interference in a fingerprint database (FPDB).
- Determined optimal and interference beams by matching User Equipment (UE) PFP with the FPDB, avoiding exhaustive search.
- Allocated orthogonal codes to selected beams.
Main Results:
- The PFP-based scheme significantly reduces computational complexity.
- Demonstrated a reduction in inter-cell interference.
- Showcased decreased feedback overhead.
- Observed an improved system sum-rate in mmWave heterogeneous networks.
Conclusions:
- The proposed PFP-based beam selection scheme is effective for mmWave massive MIMO systems.
- This method offers a practical solution for enhancing efficiency and performance in wireless networks.
