Influence of Density on Throughput Performance in Cognitive Ultra-dense Networks

A. Ivanov, Krasimir Tonchev, P. Koleva, V. Poulkov
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Abstract

Current advancements of Fifth Generation (5G) of mobile communications and beyond, have envisioned future networks as highly dense and coexisting in various bandwidths, providing seamless connectivity to users at any location. Thus, it is important to describe the effects and limits of densification and spectrum sharing. This article examines a less explored system model of a terrestrial cognitive radio (CR) based ultra-dense network (UDN) that operates within the range of a cellular macro base station (BS) and its users. It shares the incumbent spectrum in the interweave mode to avoid interference to the primary network, by implementing two common methods for energy detection (ED) spectrum sharing – Gaussian ED and Fading ED (FED). Through extensive simulations, the critical density of the UDN’s cognitive access points (CAPs), the ED efficiency, as well as the throughput gains, are determined through the measured signal-to-noise-ratio (SNR) at the CAPs and SUs. Additionally, the influence of different SU densification on the throughput is analyzed for the critical CAP density. It has been assessed that due to the high path loss in UDNs, the spectrum utilization gain (SUG) is small, but it may be improved through appropriate SU densification.
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密度对认知超密集网络吞吐量性能的影响
目前第五代移动通信(5G)及以后的进展,已经将未来的网络设想为高度密集并在各种带宽下共存,为任何位置的用户提供无缝连接。因此,描述致密化和频谱共享的影响和限制是很重要的。本文研究了一个较少探索的基于地面认知无线电(CR)的超密集网络(UDN)系统模型,该网络在蜂窝宏基站(BS)及其用户的范围内运行。通过实现两种常见的能量检测(ED)频谱共享方法——高斯ED和衰落ED (FED),在交织模式下共享现有频谱,避免对主网的干扰。通过广泛的模拟,UDN的认知接入点(CAPs)的临界密度、ED效率以及吞吐量增益,通过测量cap和su的信噪比(SNR)来确定。此外,针对临界CAP密度,分析了不同SU密度对吞吐量的影响。据评估,由于udn的高路径损耗,频谱利用增益(SUG)很小,但可以通过适当的SU密度来提高。
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