Uplink transmission with multiuser scheduling in non-stand-alone cellular network using virtual MIMO system,Transactions on Emerging Telecommunications Technologies

当前位置： X-MOL 学术 › Trans. Emerg. Telecommun. Technol. › 论文详情

Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)

Uplink transmission with multiuser scheduling in non-stand-alone cellular network using virtual MIMO system
Transactions on Emerging Telecommunications Technologies ( IF 2.5 ) Pub Date : 2022-09-20 , DOI: 10.1002/ett.4649
Shweta Kukade ₁ , Mukul S. Sutaone ₂ , Rajendrakumar Patil ₂

Affiliation

5G architecture allows the use of new radio alongside long-term evolution-A (LTE-Advanced) and enables cellular mobile networks to handle extraordinarily high traffic volume data. The major challenge in current uplink data transmission systems is making resource blocks (RBs) available in a continuous form and assigning them to active users in an optimum manner to improve the system's spectral efficiency. The best N-subset (BNS) minimization technique is suggested to identify the best of the best continuous chunks of RBs from the existing system bandwidth, followed by a modified recursive maximum expansion (RME) algorithm to assign RBs to users in the most optimal manner. The algorithm together is referred to as a multiuser uplink scheduler BNSRME algorithm. A constraint utility maximization problem is formulated to allocate RBs to UEs in the most optimized manner. Utility matrix is then converted into a weighted sum-rate maximization problem allowing weights to be updated adaptively based on marginal utility values. In addition, a threshold limit is considered based on the signal-to-noise ratio in the BNSRME-TH algorithm, which satisfies multiusers in terms of assigned resources and improves system performance, spectral efficiency, and throughput. This MU scheduling strategy is used in the 5G uplink non-stand-alone cellular network. The findings exhibit that the proposed multiuser algorithm increases system spectral efficiency by 31.65% in comparison with the existing opportunistic algorithms. It has been observed that the performance of the system is further increased by using the MU-MIMO framework.

中文翻译：

使用虚拟 MIMO 系统的非独立蜂窝网络中多用户调度的上行链路传输

5G 架构允许使用新无线电和长期演进-A (LTE-Advanced)，并使蜂窝移动网络能够处理异常高的流量数据。当前上行链路数据传输系统的主要挑战是使资源块 (RB) 以连续的形式可用，并以最佳方式将它们分配给活跃用户，以提高系统的频谱效率。建议使用最佳 N 子集 (BNS) 最小化技术从现有系统带宽中识别最佳连续 RB 块，然后使用改进的递归最大扩展 (RME) 算法以最佳方式将 RB 分配给用户. 该算法统称为多用户上行链路调度器 BNSRME 算法。制定了约束效用最大化问题，以最优化的方式将 RB 分配给 UE。然后将效用矩阵转换为加权和速率最大化问题，允许根据边际效用值自适应地更新权重。此外，BNSRME-TH算法中基于信噪比考虑了门限限制，在分配资源方面满足多用户，提高了系统性能、频谱效率和吞吐量。该MU调度策略用于5G上行非独立蜂窝网络。研究结果表明，与现有的机会主义算法相比，所提出的多用户算法将系统频谱效率提高了 31.65%。据观察，使用 MU-MIMO 框架可进一步提高系统性能。

更新日期：2022-09-20

点击分享查看原文

点击收藏

阅读更多本刊最新论文本刊介绍/投稿指南11