基于反馈水循环算法的NOMA异构网络节能资源分配

Kasula Raghu, P. Reddy
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摘要

近年来,非正交多址(NOMA)技术被认为是5G技术实现频谱效率和系统连通性最大化的有效解决方案,引起了工学界和学术界的广泛关注。此外,它有足够的潜力来最大化网络的性能。此外,在异构网络(HetNets)中部署NOMA可以满足用户数据流量爆炸式增长的需求。然而,无线网络对能源消耗的日益增长的需求促使研究人员建立一种节能的资源分配方案。NOMA的应用可以更好地利用频谱效率,最大限度地降低资源配置成本。无线网络的资源分配问题仍然是一个具有挑战性的问题,因为无线网络之间存在相互的跨层干扰。因此,本研究通过引入一种新提出的反馈水循环算法(FWCA),提出了一种新的有效的基于混合优化的NOMA HetNets节能资源分配方案。该方法通过评估用户配对和子信道问题来降低计算复杂度。此外,还对网络进行了分析,确定了具有动态系数的电力消耗和能量模型。实现的FWCO最大速率为25.992[公式:见文]Mbps/Hz,最大能效为77.398%,最大求和速率为31.748[公式:见文]Mbps/Hz,最大吞吐量为8.888[公式:见文]Mbps。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Energy-efficient resource allocation for NOMA heterogeneous networks using feedback water cycle algorithm
In recent years, nonorthogonal multiple access (NOMA) has grasped the attention of all researchers in both industrial and academic fields because it has been regarded as an effective solution for 5G technologies to maximize spectral efficiency and connectivity of the system. Also, it has sufficient potential to maximize the performance of a network. Besides, the deployment of NOMA in heterogeneous networks (HetNets) satisfies the requirements of user’s explosive data traffic. However, the increasing demand for energy consumption of the wireless network provokes the researchers to establish an energy-efficient resource allocation scheme. The applications of NOMA provide better utilization of spectrum efficiency and minimize the cost of resource allocation. The resource allocation problem in wireless networks still remains a challenging task as the HetNets are suffered from mutual cross-tier interference. Hence, this research proposes a new effective hybrid optimization-based energy-efficient resource allocation scheme for NOMA HetNets by introducing a newly proposed method called Feedback Water Cycle Algorithm (FWCA). The method evaluates the user-pairing and sub-channel issue for reducing computational complexity. In addition to this, the network is analyzed for determining the power consumption and energy model with dynamic coefficients. Moreover, the developed FWCO obtained the maximum achievable rate of 25.992[Formula: see text]Mbps/Hz, maximum energy efficiency of 77.398%, maximum sum rate of 31.748[Formula: see text]Mbps/Hz, and maximum throughput of 8.888[Formula: see text]Mbps.
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