Research on Decoding Scheme of S6a Interface Diameter Protocol in LTE Network Monitoring System

2014 ◽  
Vol 623 ◽  
pp. 274-277
Author(s):  
Ying Ying Han ◽  
Bing Xi ◽  
Zhi Zhong Zhang
Keyword(s):  
Monitoring System ◽  
Long Term Evolution ◽  
Network Data ◽  
Lte Network ◽  
Term Evolution ◽  
Message Structure ◽  
Basic Concepts ◽  
Low Efficiency ◽  
Long Term Evolution Network

In view of the existing decoding scheme of poor portability and low efficiency, the article analyzes the basic concepts, functions and message structure of the Diameter protocol in LTE (Long Term Evolution) network, then puts forward innovative decoding solutions by using dictionary method to resolve Diameter protocol. After testing by the current network data, the scheme has been verified to be correct and feasible, and effectively solves the decoding issue of Diameter protocol different message types in the LTE network.

Research and Implementation on Synthetic Scheme of S6a Interface in the LTE Network Monitoring System

2014 ◽  
Vol 696 ◽  
pp. 237-240
Author(s):  
Ying Ying Han ◽  
Bing Xi ◽  
Zhi Zhong Zhang ◽  
Liang Zhang
Keyword(s):  
Monitoring System ◽  
Accurate Method ◽  
Long Term Evolution ◽  
Network Data ◽  
Protocol Specification ◽  
The Poor ◽  
Term Evolution ◽  
Low Efficiency ◽  
Long Term Evolution Network

In view of the poor portability, low efficiency of this interface existing monitoring scheme, the paper studies the protocol specification, signaling processes related S6a interface in the LTE (Long Term Evolution, Long Term Evolution) network, etc., then brings forth a synthetic scheme related with the Diameter protocol association. After passing through the current network data test, a relatively accurate method to reproduce S6a interface signaling processes, the scheme verifies the correctness and feasibility of the program, and provides a reliable guarantee basis for monitoring the interface.

Random forests‐enabled context detections for long‐term evolution network forrailway

2019 ◽  
Vol 13 (8) ◽  
pp. 1080-1086 ◽  
Author(s):  
Lei Zhang ◽  
Qin Ni ◽  
Guanglin Zhang ◽  
Menglin Zhai ◽  
Juan Moreno ◽  
...  
Keyword(s):  
Random Forests ◽  
Long Term Evolution ◽  
Term Evolution ◽  
Long Term Evolution Network
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