C. Annadurai, I. Nelson, K. Nirmala Devi, G. Thavasi Raja
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引用次数: 0
摘要
在 6G 网络时代,多输入多输出(MIMO)技术为高吞吐量和低延迟通信提供了前所未有的机遇。然而,现有的通信框架难以同时优化能效和可靠性。在大多数情况下,传统的路由协议无法满足 MIMO 系统的需求,使其效率低下,并且由于无法动态适应不同的网络条件而容易出现可靠性问题。本研究探讨了采用 MIMO 的 6G 网络中能效与可靠性之间错综复杂的相互作用。这项研究的动机来自于充分释放采用 MIMO 的 6G 网络的潜力,以实现高能效和高可靠性通信的迫切需要。随着通信技术的发展,无缝连接、最低能耗和稳健可靠性变得越来越重要。目前,解决方案无法动态适应 6G 环境中的各种动态条件。通过这项研究,我们旨在弥合这一差距,以前所未有的能效和可靠性提升来增强 6G 网络的性能和可持续性。我们利用多输入多输出(MIMO)技术的先进特性,开发了动态多路径路由(DMR)算法。DMR 算法战略性地选择路径,最大限度地减少衰减、干扰和信道损伤的影响,从而创建一个弹性通信网络。这一改进对于满足各种 6G 应用(包括超可靠低延迟通信和大规模机器型通信)的连接需求至关重要。
Dynamic multipath routing for energy‐efficient and reliable communication in 6G networks with MIMO
In the era of 6G networks, Multiple Input Multiple Output (MIMO) technology offers unprecedented opportunities for high‐throughput and low‐latency communication. Existing communication frameworks, however, have difficulty optimizing both energy efficiency and reliability at the same time. In most cases, conventional routing protocols fail to meet the needs of MIMO systems, making them inefficient and prone to reliability problems due to their inability to dynamically adapt to different network conditions. This research addresses the intricate interplay between energy efficiency and reliability within the context of 6G networks with MIMO. The motivation for this research arises from the imperative to unlock the full potential of 6G networks with MIMO for achieving energy‐efficient and reliable communication. With the advancement of communication technology, seamless connectivity, minimal energy consumption, and robust reliability become increasingly critical. Currently, solutions cannot adapt dynamically to the diverse and dynamic conditions of a 6G environment. Through this research, we aim to bridge this gap, enhancing 6G network performance and sustainability with unprecedented gains in energy efficiency and reliability. We have developed the Dynamic Multipath Routing (DMR) algorithm by harnessing the advanced features of MIMO technology. The DMR algorithm strategically chooses paths to minimize the effects of fading, interference, and channel impairments, creating a resilient communication network. This improvement is essential for meeting the demanding connectivity needs of various 6G applications, covering ultra‐reliable low‐latency communication and massive machine‐type communication.