基于几何规划的5G高速移动网络资源分配

Shaoyi Xu, Tianhang Fu
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引用次数: 0

摘要

高速铁路(HSR)是5G系统的典型应用案例。移动中继站(MRSs)是一种安装在高速列车(HST)上的高速移动通信系统架构。然而,由于宏细胞和MRS细胞共享频谱,在这种混合系统中存在干扰。在本章中,我们研究了多小区解码和转发(DF)中继正交频分多址(OFDMA)系统的下行链路,并在总功率约束和新提出的延时约束下,提出了最大化所有小区的系统和速率的问题。为了优化子载波分配和功率分配,提出了一种将贪心子载波分配和基于几何规划的功率分配算法相结合的有效资源分配方案。数值实验验证了所提出的资源分配方案优于其他传统方法,并证明了引入时延约束的必要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Geometric Programming Based Resource Allocation for 5G High-Speed Mobile Networks
The high-speed railway (HSR) is a typical application case in 5G systems. Mobile relay stations (MRSs) which are mounted in a high-speed train (HST) is popular system architecture for high-speed mobile communications. However, sharing spectrums between the macro cell and the MRS cell, interference exists in this hybrid system. In this chapter, we investigate the downlink of a multi-cellular decode and forward (DF) relayed orthogonal frequency division multiple access (OFDMA) system and formulate the problem to maximize the system sum rate of all cells subject to a total power constraint and a new proposed time delay constraint. An effective resource allocation scheme combined by greedy sub-carriers allocation and geometric programming (GP) based power allocation algorithm is proposed to optimize subcarrier allocation and power allocation. Numerical experiments verify that the proposed resource allocation scheme outperforms the other traditional approaches and the necessity of introducing the time delay constraint.
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