Tri-polarized MIMO systems in real-world channels: Channel investigation and performance analysis

2012 ◽  
Vol 5 (4) ◽  
pp. 308-316 ◽  
Author(s):  
François Quitin ◽  
Claude Oestges ◽  
Ali Panahandeh ◽  
François Horlin ◽  
Philippe De Doncker
Keyword(s):  
Performance Analysis ◽  
Real World ◽  
Mimo Systems ◽  
And Performance

Broadcast in MIMO Systems Based on a Generalized QR Decomposition: Signaling and Performance Analysis

2008 ◽  
Vol 54 (3) ◽  
pp. 1124-1138 ◽  
Author(s):  
Mohammad Ali Maddah-Ali ◽  
Mehdi Ansari Sadrabadi ◽  
Amir K. Khandani
Keyword(s):  
Performance Analysis ◽  
Mimo Systems ◽  
Qr Decomposition ◽  
And Performance

scholarly journals Channel Estimation and Performance Analysis of One-Bit Massive MIMO Systems

2017 ◽  
Vol 65 (15) ◽  
pp. 4075-4089 ◽  
Author(s):  
Yongzhi Li ◽  
Cheng Tao ◽  
Gonzalo Seco-Granados ◽  
Amine Mezghani ◽  
A. Lee Swindlehurst ◽  
...  
Keyword(s):  
Performance Analysis ◽  
Channel Estimation ◽  
Massive Mimo ◽  
Mimo Systems ◽  
And Performance

scholarly journals Database-Less Extraction of Event Logs from Redo Logs

2021 ◽  
pp. 73-82
Author(s):  
Dorina Bano ◽  
Tom Lichtenstein ◽  
Finn Klessascheck ◽  
Mathias Weske
Keyword(s):  
Performance Analysis ◽  
Real World ◽  
Business Processes ◽  
Process Mining ◽  
Detailed Knowledge ◽  
System Failure ◽  
Conformance Checking ◽  
Event Logs ◽  
Event Log ◽  
And Performance

Process mining is widely adopted in organizations to gain deep insights about running business processes. This can be achieved by applying different process mining techniques like discovery, conformance checking, and performance analysis. These techniques are applied on event logs, which need to be extracted from the organization’s databases beforehand. This not only implies access to databases, but also detailed knowledge about the database schema, which is often not available. In many real-world scenarios, however, process execution data is available as redo logs. Such logs are used to bring a database into a consistent state in case of a system failure. This paper proposes a semi-automatic approach to extract an event log from redo logs alone. It does not require access to the database or knowledge of the databaseschema. The feasibility of the proposed approach is evaluated on two synthetic redo logs.

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