Joint cmWave-based multiuser positioning and network synchronization in dense 5G networks

Author(s):  
Mike Koivisto ◽  
Jukka Talvitie ◽  
Mario Costa ◽  
Kari Leppanen ◽  
Mikko Valkama
Author(s):  
М.В. ЛОБАСТОВА ◽  
А.Ю. МАТЮХИН ◽  
А.Е. КУЧЕРЯВЫЙ

Рассмотрены вопросы организации тактовой сетевой синхронизации (ТСС) в сетях пятого поколения. Предложен новый метод обнаружения и устранения петель в сети ТСС на основе определения компонент связности графа и анализа матрицы циклов графа сети синхронизации, оценена эффективность его использования. Основным математическим аппаратом, используемым для описания предложенного метода, является теория графов и матриц. The article discusses the issues of the organization of clock network synchronization in 5G networks. A new method of detecting and eliminating loops in a synchronization network basedondeterminingthecomponentsofthegraphconnectivity and analyzing the graph cycle matrix of a synchronization network is proposed, and the efficiency of its utilization is estimated. The main mathematical apparatus used to describe the proposed method is the theory of graphs and matrices.


Author(s):  
Aiman Kassir ◽  
◽  
Rudzidatul Akmam Dziyauddin ◽  
Hazilah Mad Kaidi ◽  
Mohd Azri Mohd Izhar ◽  
...  

2020 ◽  
Vol 4 ◽  
pp. 83-90
Author(s):  
Andrey Kanaev ◽  
◽  
Maria Sakharova ◽  
Evgeny Oparin ◽  

This article provides a simulation model of the process of functioning and restoration of a network clock network (CNS), which is distinguished by the completeness of accounting for the states of the process of functioning of the CNS network. The key indicator of the process of functioning of the CNS network is the duration of the control cycle of the CNS network, which is understood as the time from the moment a failure occurs on the CNS network until the moment the mode of transmission of synchronization signals is restored. On the basis of the developed simulation model of the process of functioning and restoration of the CNS network, the duration of the control cycle of the CNS network is estimated depending on the time spent in individual states of the process of functioning of the TSS network and on the characteristics of individual subsystems of the CNS system. The results obtained can serve as a basis for developing sound strategies and plans for managing the CNS network.


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