从代数组合学的角度对5G的多学科讨论

Michel Kulhandjian, L. Aslanyan, H. Sahakyan, Hovannes Kulhandjian, C. D’amours
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引用次数: 0

摘要

在本文中,我们介绍了“5G及未来”研讨会讨论中提出的一些有趣的问题。我们建议探索其他学科的替代解决方案,如代数组合学和离散优化。在离散层析成像中具有某些理想特性的矩阵的构建可以用于第五代(5G)多用户波形设计。此外,我们建议深入研究Erdős和A. r nyi开发的用于5G多用户波形设计的随机图理论。此外,我们探索了在5G通信中使用具有多项式时间复杂度的“最佳匹配”算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multidisciplinary Discussion on 5G from the Viewpoint of Algebraic Combinatorics
In this paper, we present some of the interesting questions raised in the “5G and Beyond” workshop discussions. We propose to explore alternative solutions in other discipline such as algebraic combinatorics and discrete optimization. Construction of matrices that possess certain desirable properties in discrete tomography can be exploited for the 5th generation (5G) multiuser waveform design. Moreover, we propose to investigate thoroughly the random graph theory developed by Erdős and A. Rényi for 5G multiuser waveform design. Furthermore, we explore using the “Best Match” algorithm, which has a polynomial time complexity, in 5G communications.
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