Optimizing Network Performance in 5G Systems with Downlink and Uplink Decoupling

Christos Bouras, Charalampos Chatzigeorgiou, V. Kokkinos, A. Gkamas, P. Pouyioutas
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Abstract

This research paper presents a comprehensive investigation into the optimization of resource allocation in 5G networks through the technique of Downlink and Uplink Decoupling (DUDe). With the growing need for accurate modeling and scenario planning in 5G systems, DUDe allows for the configuration of an additional, lower frequency signal on the uplink to complement the existing uplink signal, rebalancing the uplink/downlink difference at the cell edge and enhancing coverage and network capacity. Drawing on extensive literature and industry trends, this study explores the benefits and challenges of DUDe, considering its impact on network performance, user experience, and future developments. The paper also introduces a simulation-based methodology and experiments to evaluate the effectiveness of DUDe in improving coverage, capacity, latency, and energy efficiency. The findings contribute to the understanding of DUDe’s potential in optimizing 5G networks, providing valuable insights for researchers and network operators in designing and deploying efficient resource allocation strategies for enhanced network performance in various scenarios.
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利用下行链路和上行链路解耦优化 5G 系统的网络性能
本研究论文通过下行链路和上行链路解耦技术(DUDe),对 5G 网络中的资源分配优化进行了全面研究。随着 5G 系统对精确建模和场景规划的需求日益增长,DUDe 允许在上行链路上配置额外的低频信号,以补充现有的上行链路信号,重新平衡小区边缘的上行链路/下行链路差异,增强覆盖范围和网络容量。本研究借鉴了大量文献和行业趋势,探讨了 DUDe 的优势和挑战,考虑了其对网络性能、用户体验和未来发展的影响。本文还介绍了一种基于仿真的方法和实验,以评估 DUDe 在改善覆盖、容量、延迟和能效方面的有效性。研究结果有助于理解 DUDe 在优化 5G 网络方面的潜力,为研究人员和网络运营商设计和部署高效的资源分配策略以提高各种场景下的网络性能提供了有价值的见解。
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