当前位置: X-MOL 学术Int. J. Netw. Manag. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Analyzing group behavior patterns in a cellular mobile network for 5G use-cases
International Journal of Network Management ( IF 1.5 ) Pub Date : 2021-04-05 , DOI: 10.1002/nem.2157
Gabor Soos 1 , Daniel Ficzere 1 , Pal Varga 1
Affiliation  

The massive demand for broadband mobile network services are quite successfully covered already by 3G and 4G cellular mobile systems. The challenges for 5G are more diverse: answering the demands of Ultra-Reliable Low Latency Communications (URLLC) and massive Machine Type Communications (mMTC) users—besides elevating mobile broadband to the next level. While generic, high-level targets for KPIs (Key Performance Indicators) are widely communicated, it is not yet well-understood how the various demands can affect the traffic mixture. Both the radio- and the core-domains of the cellular network have to cope with traffic peaks, and have to obey various QoS (Quality of Service) guarantees. In order to cover these gaps, traffic-related characteristics (data volume, signaling message types, and traffic peaks) should be determined, and this knowledge should be used during network planning, optimization, and service shaping.

中文翻译:

为 5G 用例分析蜂窝移动网络中的群体行为模式

3G 和 4G 蜂窝移动系统已经相当成功地满足了对宽带移动网络服务的巨大需求。5G 面临的挑战更加多样化:除了将移动宽带提升到新的水平之外,还要满足超可靠低延迟通信 (URLLC) 和海量机器类型通信 (mMTC) 用户的需求。虽然 KPI(关键绩效指标)的通用、高级目标已得到广泛宣传,但尚未充分了解各种需求如何影响交通混合。蜂窝网络的无线电域和核心域都必须应对流量峰值,并且必须遵守各种 QoS(服务质量)保证。为了弥补这些差距,应确定与流量相关的特征(数据量、信令消息类型和流量峰值),
更新日期:2021-04-05
down
wechat
bug