PCI Planning Based on Binary Quadratic Programming in LTE/LTE-A Networks

计算机科学 二进制数 启发式 算法 离散数学 理论计算机科学 数学 人工智能 算术
作者
Jihong Gui,Zhipeng Jiang,Suixiang Gao
出处
期刊:IEEE Access [Institute of Electrical and Electronics Engineers]
卷期号:7: 203-214 被引量:10
标识
DOI:10.1109/access.2018.2885313
摘要

In recent years, interference has played an increasingly significant part in bulkier and denser Long Term Evolution (LTE/LTE-Advanced) networks. Though intra-cell interference is successfully improved by Orthogonal Frequency Division Multiple Access (OFDMA), inter-cell interference (ICI) could cause a degradation of throughput and significantly impact Signal-to-Noise-Ratio (SINR) in the downlink (DL) network. Physical Cell ID (PCI) planning, an effective approach to eliminate ICI, is required to reduce collision, confusion and mod $q$ interference, where $q=3$ for Single-Input Single-Output (SISO) system, and $q=6$ for Multiple-Input Multiple-Output (MIMO) system. In this study, a new definition of neighborhood relations was proposed based on the measurement report (MR) data in the actual network. Binary quadratic programming (BQP) model was built for PCI planning through a series of model deductions and mathematical proofs. Since BQP is known as NP-hard, a heuristic Greedy algorithm was proposed and its low complexity both in time and space can ensure large-scale computing. Finally, based on the raw data extracted from the actual SISO system network and the simulation calculation of MATLAB, the experimental results demonstrated that Greedy algorithm not only eliminates conflict and confusion completely, but also reduces the mod 3 interference of 26.213% more than the baseline scheme and far more than the improvement ratio of 4.436% given by the classical graph coloring algorithm.
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