Interference Analysis and Power Allocation in the Presence of Mixed Numerologies
Interference Analysis and Power Allocation in the Presence of Mixed Numerologies
复制标题
存在混合数值学的干扰分析和功率分配
DOI：
10.1109/twc.2020.2990717
复制
发表时间：
2020
影响因子：
10.4
通讯作者：
K. Nikitopoulos
中科院分区：
文献类型：
--
作者：
J. Mao;Lei Zhang;P. Xiao;K. Nikitopoulos
在支持具有截然不同技术要求的异构服务方面的灵活性是第五代（5G）及以后通信系统的显著特征之一。一种可行的解决方案是将系统带宽划分为若干个带宽部分（BWP），每个部分具有针对特定服务优化的独特参数配置（numerology，此处指与子载波间隔、循环前缀长度等相关的参数配置）。然而，在统一的物理基础设施上复用不同参数配置会带来干扰问题。在本文中，我们针对存在混合参数配置的正交频分复用（OFDM）系统，在有和没有滤波器处理的情况下，开发了一种用于分析不同参数配置间干扰（InterNI）的分析系统模型。利用该分析模型，通过所开发的分析指标对InterNI的水平进行量化，该指标表示为多个系统参数的函数。这使得能够为满足给定的失真目标对这些参数进行分析和评估。此外，还给出了一个利用所推导分析进行功率分配的案例研究，其中制定了一个最大化总速率的优化问题，并提供了一种解决方案。还证明了滤波后的OFDM系统能更好地适应混合参数配置的共存。所提出的模型为5G及以后系统中的多服务设计提供了准确的分析指导。
The flexibility in supporting heterogeneous services with vastly different technical requirements is one of the distinguishing characteristics of the fifth generation (5G) communication systems and beyond. One viable solution is to divide the system bandwidth into several bandwidth parts (BWPs), each having a distinct numerology optimized for a particular service. However, multiplexing of mixed numerologies over a unified physical infrastructure comes at the cost of induced interference. In this paper, we develop an analytical system model for inter-numerology interference (InterNI) analysis in orthogonal frequency-division multiplexing (OFDM) systems with and without filter processing in the presence of mixed numerologies. With the analytical model, the level of InterNI is quantified by the developed analytical metric, which is expressed as a function of several system parameters. This leads to an analysis and evaluation of these parameters for meeting a given distortion target. Moreover, a case study on power allocation utilizing the derived analysis is presented, where an optimization problem of maximizing the sum rate is formulated, and a solution is also provided. It is also demonstrated that a filtered-OFDM system better accommodates the coexistence of mixed numerologies. The proposed model provides an accurate analytical guidance for the multi-service design in 5G and beyond systems.