论文标题
有效的室内THZ接入点部署的分析模型
An Analytical Model for Efficient Indoor THz Access Point Deployment
论文作者
论文摘要
预计用户设备(UE)和接入点(AP)的超依赖性将对未来的频谱需求造成损失。较高的频带,例如MMWave($ 30 $ - $ 300GHz $)和THZ Spectrum($ 0.3 $ - $ 10THz $),可用于满足超密集网络的高通量需求。这些高频带有大量的\ textit {绿色的连续频谱},范围为数百美元$ ghz $。但是,这些乐队,尤其是THZ频段,面临着许多挑战,例如散布,吸收和穿透损失。为了应对这些挑战,需要配备高发射功率,高天线增益(即狭窄的天线束),或者限制与短距离的通信。所有这些因素由于技术或经济挑战而受到限制,这将导致\ textit {“距离功率困境”},同时决定THZ-APS的部署策略。在本文中,我们提出了一个分析模型,以有效地在室内设置中部署THZ-AP。我们通过广泛的数值分析,最佳的AP数量和最佳的房间长度来展示。此外,这些THZ-aps需要有效地包装,以避免由于切换而发生故障,这可能会增加困境的复杂性。为了减轻包装问题,我们在最佳解决方案上提出了两种解决方案:(a)半径增加和(b)中继器辅助,并为每个辅助提供一个分析模型。
Ultra-densification of user equipment (UE) and access points (APs) are anticipated to take a toll on the future spectrum needs. Higher frequency bands, such as mmWave ($30$-$300GHz$) and THz spectrum ($0.3$-$10THz$), can be used to cater to the high-throughput needs of ultra-dense networks. These high-frequency bands have a tremendous amount of \textit{green-filed contiguous spectrum}, ranging in hundreds of $GHz$. However, these bands, especially the THz bands, face numerous challenges, such as high spreading, absorption, and penetration losses. To combat these challenges, the THz-APs need to be either equipped with high transmit power, high antenna gains (i.e., narrow antenna beams), or limit the communication to short-ranges. All of these factors are bounded due to technical or economic challenges, which will result in a \textit{"distance-power dilemma"} while deciding on the deployment strategy of THz-APs. In this paper, we present an analytical model to deploy THz-APs in an indoor setting efficiently. We further show through extensive numerical analysis, the optimal number of APs and optimal room length for different blocks of the THz spectrum. Furthermore, these THz-APs need to be efficiently packed to avoid outages due to handoffs, which can add more complexity to the dilemma. To mitigate the packing problem, we propose two solutions over the optimal solution: (a) Radius Increase, and (b) Repeater Assistance, and present an analytical model for each.