Call Setup Success Rate (CSSR), a single metric that represents all Network performance management is critical in the daily operations of Mobile Telecom Networks. It involves continuous monitoring of network metrics and management of relevant KPIs impacting network performance. This system acts as a real-time alert for any changes or anomalies within the network. Additionally, it generates comprehensive reports, both daily and weekly, that illustrate the overall network health and performance of the Network. Call Setup Success Rate (CSSR) is one of the most critical KPIs in Mobile Telecom Networks. It falls just behind core availability metrics like downtime, residing within the accessibility KPI category. This signifies its direct impact on customer service availability. In simpler terms, CSSR reflects whether customers can successfully initiate calls and access the services they've subscribed to. It essentially represents the percentage of call attempts that are completed successfully. ◾ Network Elements That Impacts CSSR: ▪ Base Transceiver Station (BTS): ▫ Faulty BTS hardware can lead to signal degradation, impacting call setup success. ▫ Improper configuration of radio parameters like transmit power or cell size can affect call establishment. ▪ Mobile Switching Center (MSC): ▫ Congestion in the MSC due to high call volume can delay or even block call setups. ▫ Software bugs or hardware failures in the MSC can disrupt signaling processes, hindering call connection. ▪ Radio Network Controller (RNC): (For GSM/UMTS networks) ▫ Inefficient handover management by the RNC can lead to call drops during cell transitions, impacting CSSR indirectly. ▫ RNC configuration issues can affect radio resource allocation, influencing call setup success. ◾ Troubleshooting Techniques for CSSR: ▪ Drive Testing: Physically drive through the network coverage area with specialized equipment to measure signal strength, identify radio interference sources, and pinpoint areas with low CSSR. ▪ Log Analysis: Analyze detailed network logs generated by BTS, MSC, and RNC to identify specific call failures and their root causes (e.g., signaling errors, radio resource unavailable). ▪ Correlation Analysis: Correlate CSSR trends with other network metrics like traffic volume, handover attempts, and dropped call rates to identify potential contributing factors. By employing these advanced techniques, network operators can gain a deeper understanding of the factors affecting CSSR and implement targeted solutions to ensure a consistently high call setup success rate for their subscribers.
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BI & Automation Specialist | Telecom Networks Performance Optimization & KPI Analysis | BI & Data Analytics | AI-Driven Automation | M.Sc. in Artificial Intelligence
Call Setup Success Rate (CSSR), a single metric that represents all Network performance management is critical in the daily operations of Mobile Telecom Networks. It involves continuous monitoring of network metrics and management of relevant KPIs impacting network performance. This system acts as a real-time alert for any changes or anomalies within the network. Additionally, it generates comprehensive reports, both daily and weekly, that illustrate the overall network health and performance of the Network. Call Setup Success Rate (CSSR) is one of the most critical KPIs in Mobile Telecom Networks. It falls just behind core availability metrics like downtime, residing within the accessibility KPI category. This signifies its direct impact on customer service availability. In simpler terms, CSSR reflects whether customers can successfully initiate calls and access the services they've subscribed to. It essentially represents the percentage of call attempts that are completed successfully. ◾ Network Elements That Impacts CSSR: ▪ Base Transceiver Station (BTS): ▫ Faulty BTS hardware can lead to signal degradation, impacting call setup success. ▫ Improper configuration of radio parameters like transmit power or cell size can affect call establishment. ▪ Mobile Switching Center (MSC): ▫ Congestion in the MSC due to high call volume can delay or even block call setups. ▫ Software bugs or hardware failures in the MSC can disrupt signaling processes, hindering call connection. ▪ Radio Network Controller (RNC): (For GSM/UMTS networks) ▫ Inefficient handover management by the RNC can lead to call drops during cell transitions, impacting CSSR indirectly. ▫ RNC configuration issues can affect radio resource allocation, influencing call setup success. ◾ Troubleshooting Techniques for CSSR: ▪ Drive Testing: Physically drive through the network coverage area with specialized equipment to measure signal strength, identify radio interference sources, and pinpoint areas with low CSSR. ▪ Log Analysis: Analyze detailed network logs generated by BTS, MSC, and RNC to identify specific call failures and their root causes (e.g., signaling errors, radio resource unavailable). ▪ Correlation Analysis: Correlate CSSR trends with other network metrics like traffic volume, handover attempts, and dropped call rates to identify potential contributing factors. By employing these advanced techniques, network operators can gain a deeper understanding of the factors affecting CSSR and implement targeted solutions to ensure a consistently high call setup success rate for their subscribers. #Telecom #Networks #RAN #CSSR #PM
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Drop Call Rate In LTE: Drop Call Rate (DCR) failure in LTE refers to the percentage of calls that are disconnected due to poor network quality or errors. High DCR can lead to poor user experience and revenue loss. To optimize DCR for better results, follow these steps: 1. _Handover Optimization_: - Improve handover procedures - Reduce handover failures - Example: A network operator optimizes handover parameters, reducing handover failures by 25% and DCR by 15%. 2. _Radio Resource Management (RRM)_: - Optimize resource allocation - Improve scheduling and resource utilization - Example: A network operator implements advanced RRM algorithms, increasing resource utilization by 20% and reducing DCR by 12%. 3. _Interference Management_: - Implement interference coordination techniques (e.g., ICIC) - Use advanced interference cancellation techniques - Example: A network operator implements ICIC, reducing interference by 30% and DCR by 18%. 4. _Power Control and Optimization_: - Adjust eNodeB transmission power - Use advanced power control algorithms - Example: A network operator optimizes eNodeB power, reducing power consumption by 25% while maintaining DCR performance. 5. _UE Receiver Optimization_: - Improve UE receiver sensitivity - Use advanced receiver algorithms - Example: A UE manufacturer implements advanced receiver algorithms, improving DCR detection by 15%. 6. _Network Planning and Optimization_: - Optimize network topology and parameters - Use advanced network planning tools - Example: A network operator uses a planning tool to optimize network parameters, reducing DCR by 10% and improving overall network performance. 7. _Quality of Service (QoS) Management_: - Implement QoS policies and procedures - Prioritize critical traffic - Example: A network operator implements QoS policies, prioritizing critical traffic and reducing DCR by 12%. By implementing these optimization techniques, network operators can reduce DCR, improve network reliability, and enhance user experience. Example: A network operator implements a combination of these optimization techniques, resulting in a 30% reduction in DCR and a 25% increase in network capacity.
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Drop Call Rate In LTE: Drop Call Rate (DCR) failure in LTE refers to the percentage of calls that are disconnected due to poor network quality or errors. High DCR can lead to poor user experience and revenue loss. To optimize DCR for better results, follow these steps: 1. _Handover Optimization_: - Improve handover procedures - Reduce handover failures - Example: A network operator optimizes handover parameters, reducing handover failures by 25% and DCR by 15%. 2. _Radio Resource Management (RRM)_: - Optimize resource allocation - Improve scheduling and resource utilization - Example: A network operator implements advanced RRM algorithms, increasing resource utilization by 20% and reducing DCR by 12%. 3. _Interference Management_: - Implement interference coordination techniques (e.g., ICIC) - Use advanced interference cancellation techniques - Example: A network operator implements ICIC, reducing interference by 30% and DCR by 18%. 4. _Power Control and Optimization_: - Adjust eNodeB transmission power - Use advanced power control algorithms - Example: A network operator optimizes eNodeB power, reducing power consumption by 25% while maintaining DCR performance. 5. _UE Receiver Optimization_: - Improve UE receiver sensitivity - Use advanced receiver algorithms - Example: A UE manufacturer implements advanced receiver algorithms, improving DCR detection by 15%. 6. _Network Planning and Optimization_: - Optimize network topology and parameters - Use advanced network planning tools - Example: A network operator uses a planning tool to optimize network parameters, reducing DCR by 10% and improving overall network performance. 7. _Quality of Service (QoS) Management_: - Implement QoS policies and procedures - Prioritize critical traffic - Example: A network operator implements QoS policies, prioritizing critical traffic and reducing DCR by 12%. By implementing these optimization techniques, network operators can reduce DCR, improve network reliability, and enhance user experience. Example: A network operator implements a combination of these optimization techniques, resulting in a 30% reduction in DCR and a 25% increase in network capacity.
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Handover: Telecommunications handover, also known as handoff, is a process in which an ongoing communication session or connection is transferred from one base station or cell to another as the mobile device moves within the network. Handovers are essential to maintain a seamless and uninterrupted connection for mobile users. Here are the key aspects to understand about telecommunications handover: 1. Purpose: The primary purpose of handover is to ensure continuous connectivity and optimal quality of service (QoS) as mobile devices move across different coverage areas or cells within a network. Handovers help avoid call drops, maintain call quality, and provide a smooth transition between cells. 2. Triggers: Handovers can be triggered by various factors, including signal strength, signal quality, load balancing, mobility management, interference levels, or network optimization strategies. These triggers are typically based on measurements and thresholds determined by the network operator. 3. Types of Handovers: There are different types of handovers used in telecommunications networks, including: - Intra-frequency Handover: This type of handover occurs when a mobile device moves between cells operating on the same frequency band. - Inter-frequency Handover: Inter-frequency handover occurs when a mobile device moves between cells operating on different frequency bands. - Inter-RAT Handover: This type of handover occurs when a mobile device moves between cells using different Radio Access Technologies (RATs), such as LTE to GSM or LTE to UMTS. - Soft Handover: Soft handover allows a mobile device to be simultaneously connected to multiple cells, providing seamless coverage and better call quality. 4. Handover Procedure: The handover procedure involves several steps: - Measurement: The mobile device continuously measures signal strength, signal quality, and other parameters to determine the need for a handover. - Reporting: The mobile device reports its measurements to the serving base station. - Decision Making: The serving base station analyzes the measurements and decides whether a handover is necessary based on predefined criteria. - Handover Execution: If a handover is required, the serving base station initiates the handover process by signaling the target base station and coordinating the transfer of the connection. - Handover Completion: The target base station takes over the communication session, and the mobile device switches its connection to the new cell. The handover is considered complete when the mobile device successfully establishes a connection with the new base station. 5. Optimization and Parameters: Handovers are subject to various optimization techniques and parameters set by the network operator. These parameters determine the handover thresholds, hysteresis values, and other configuration settings to ensure efficient handover execution and network performance.
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⚠️**𝐃𝐨𝐞𝐬 𝐂𝐚𝐥𝐥 𝐃𝐫𝐨𝐩 𝐑𝐚𝐭𝐞 (𝐂𝐃𝐑) 𝐈𝐦𝐩𝐚𝐜𝐭 𝐘𝐨𝐮𝐫 𝐕𝐨𝐋𝐓𝐄 𝐂𝐚𝐥𝐥𝐬?⚠️ As we advance towards a more connected and digitally-driven world, the quality of our voice calls, particularly over VoLTE (Voice over LTE) networks, remains paramount. Let's delve into a significant Key Performance Indicator (KPI) that telecom engineers and network specialists closely monitor - the 𝐂𝐚𝐥𝐥 𝐃𝐫𝐨𝐩 𝐑𝐚𝐭𝐞 (𝐂𝐃𝐑). 📉 𝐖𝐡𝐚𝐭 𝐄𝐱𝐚𝐜𝐭𝐥𝐲 𝐢𝐬 𝐂𝐃𝐑? CDR quantifies the percentage of voice calls initiated over LTE that are unexpectedly dropped or terminated without the user’s intention, often due to network inadequacies. A high CDR can severely impact customer satisfaction and might indicate deeper network infrastructure or configuration issues. 🔍 𝐔𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝𝐢𝐧𝐠 𝐭𝐡𝐞 𝐂𝐚𝐮𝐬𝐞𝐬: -𝐍𝐞𝐭𝐰𝐨𝐫𝐤 𝐎𝐯𝐞𝐫𝐥𝐨𝐚𝐝: Similar to traffic jams during peak hours, an overloaded network cannot support the ongoing call quality or stability. -𝐇𝐚𝐫𝐝𝐰𝐚𝐫𝐞 𝐌𝐚𝐥𝐟𝐮𝐧𝐜𝐭𝐢𝐨𝐧𝐬: Faulty network hardware or failures in the transmission infrastructure can lead to dropped calls. -𝐒𝐨𝐟𝐭𝐰𝐚𝐫𝐞 𝐈𝐬𝐬𝐮𝐞𝐬: Bugs or errors in the network's software can disrupt ongoing calls. -𝐒𝐢𝐠𝐧𝐚𝐥 𝐂𝐨𝐯𝐞𝐫𝐚𝐠𝐞 𝐅𝐥𝐮𝐜𝐭𝐮𝐚𝐭𝐢𝐨𝐧𝐬: Poor signal strength or coverage gaps can abruptly end calls. 🛠 𝐒𝐭𝐫𝐚𝐭𝐞𝐠𝐢𝐞𝐬 𝐟𝐨𝐫 𝐌𝐢𝐭𝐢𝐠𝐚𝐭𝐢𝐨𝐧: Improving CDR is about enhancing network resilience and reliability, not just about boosting capacity. -𝐄𝐧𝐡𝐚𝐧𝐜𝐞𝐝 𝐂𝐨𝐯𝐞𝐫𝐚𝐠𝐞 𝐏𝐥𝐚𝐧𝐧𝐢𝐧𝐠: Strategic placement of cell towers and network boosters to ensure robust signal coverage. -𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 𝐑𝐞𝐬𝐢𝐥𝐢𝐞𝐧𝐜𝐞: Upgrading network hardware and software to withstand high volumes and maintain call integrity. -𝐑𝐞𝐚𝐥-𝐭𝐢𝐦𝐞 𝐍𝐞𝐭𝐰𝐨𝐫𝐤 𝐀𝐝𝐣𝐮𝐬𝐭𝐦𝐞𝐧𝐭: Using intelligent systems to adapt to network load dynamically, prioritizing call stability. -𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐝 𝐓𝐫𝐨𝐮𝐛𝐥𝐞𝐬𝐡𝐨𝐨𝐭𝐢𝐧𝐠 𝐓𝐨𝐨𝐥𝐬: Employing sophisticated diagnostic tools to preemptively identify and rectify potential drop points. 💡 𝐓𝐡𝐞 𝐁𝐢𝐠𝐠𝐞𝐫 𝐏𝐢𝐜𝐭𝐮𝐫𝐞: As VoLTE becomes the backbone of modern telecommunication, mastering CDR challenges is crucial for ensuring uninterrupted, high-quality voice service. It’s about crafting a network that not only connects calls but sustains them reliably across any condition. 🔍 Eager to become a VoLTE wizard? Our comprehensive course takes you from the basics to advanced optimization techniques. 📚 Seize your chance to enroll with an 𝟖𝟎% 𝐝𝐢𝐬𝐜𝐨𝐮𝐧𝐭—details in the 𝐟𝐢𝐫𝐬𝐭 𝐜𝐨𝐦𝐦𝐞𝐧𝐭! #CDR #VoLTE #Telecom #NetworkReliability #UserSatisfaction #TechInsights
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BI & Automation Specialist | Telecom Networks Performance Optimization & KPI Analysis | BI & Data Analytics | AI-Driven Automation | M.Sc. in Artificial Intelligence
Key Performance Indicators, the art of network monitoring & Management. Mobile Telecom Networks are comprised of numerous components, including the Core Network, Transport Network, and Radio Access Network (RAN). The Core Network, composed of data centers and switches, contains user data and controls the entire network. The Transport Network links everything together, while the RAN provides radio coverage to end users and connects them to the Mobile Telecom Networks. To ensure all these components work as efficiently and seamlessly as possible, it's crucial to monitor the performance of each part and their interactions with each other and other networks. Network Key Performance Indicators (KPIs) are metrics used to gauge network performance. They can be assessed by setting benchmark values for comparison or by continuously observing and analyzing recorded trends over a certain period of time. Some critical KPIs in Mobile Telecom Networks include the Call Setup Success Rate (CSSR), Call Drop Rate (CDR), and Handover Success Rate. These are often used to monitor network performance and implement necessary actions to maintain or enhance it. Such actions are part of Network Management and Optimization. In Network Performance Management, these basic yet critical KPIs are closely monitored due to their correlation with the quality of services provided. They can be used to manage network performance by providing necessary information about the lifecycle of calls, from the initial attempt to the end. Managing mobile network performance presents a dynamic set of challenges. Staying ahead of the curve requires constant adaptation and the embrace of emerging trends. By tackling these challenges and adopting new trends, mobile network operators can ensure optimal performance, provide a superior user experience, and maintain competitiveness in the continuously evolving mobile landscape. #Telecom #Networks #KPIs #Performance #Optimization
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Service and Operation KPIs for LTE networks! 1. Starting Small, Growing Big When deploying a network, the initial focus is on cost reduction. This means setting up only a few sites at first. As the network becomes more established and profitable, additional sites can be added. This improves coverage, especially at the cell edges, and enhances overall reliability. 2. Knowing Your Users In a mature network, understanding the user base becomes crucial. During the planning phase, this knowledge is limited. With a better understanding of user locations, you can increase site density or target specific areas for optimization. 3. The Essential KPIs LTE systems have various operational KPIs (as shown in Figure below) that are vital for network performance. While these KPIs may differ slightly between vendors, they generally fall into the same main categories. Network optimizers use these KPIs to set performance targets and troubleshoot issues. Understanding the LTE call flow is essential for defining these KPIs and identifying any problems. 3.1 Accessibility KPIs: These KPIs focus on identifying issues during EPS attach procedures, call setup, or LTE mobility tracking area updates. They ensure smooth user connectivity to the network. 3.2 Retainability KPIs: Captured during calls in connected mode and mobility transitions between LTE frequencies or RATs, these KPIs ensure a stable and uninterrupted connection once established. 3.3 System Utilization KPIs: These provide insights into cell capacity and traffic usage. They are continuously monitored during optimization processes or when introducing new features. Low system utilization KPIs may indicate the need for network dimensioning, planning adjustments, or changes in deployment strategy. 3.4 User and eNB Performance: Evaluation of user and eNB (evolved Node B) performance is typically based on service and quality KPIs related to uplink and downlink throughput. Low levels of these KPIs trigger detailed troubleshooting mechanisms through field testing. Sufficient sampling across the entire area of interest is important to ensure statistical validity. 4. Vendor-Specific Definitions The definitions of LTE KPIs can vary between vendors and may change during the optimization process. However, the main objective is to collect reliable indications of possible issues for debugging purposes. Based on the abnormalities of each KPI, the optimizer can follow basic troubleshooting guidelines. #LTE #KPIs #NetworkPerformance #Optimization #FieldTesting
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Coverage and Capacity: drivers for network growth Ensuring network coverage and managing traffic effectively are paramount for every mobile network operator to meet the demands of an expanding subscriber base. For a leading European MNO, ensuring ample network capacity across their region was paramount to sustaining expansion and increasing subscriber numbers. Operating a 4G/5G network for cellular services, the MNO used HTZ Communications to reinforce their network. This multi-technology tool supports signal strength and quality analysis and enables operators to undertake network optimisation and reduce not-spots across the network. Users can simulate radio propagation across a given terrain and assess interference using HTZ’s library of propagation models. The capacity planning function allows operators to determine the network’s capacity to manage present and future traffic demands, taking into account subscriber density, application use and data rates. From a network optimisation perspective, the MNO stands to gain valuable insights into traffic analysis including automated frequency assignment and frequency optimisation. Also, HTZ’s interference analysis function assesses co-channel interference from neighboring cells, adjacent channel interference from overlapping frequency bands and external interference sources. In conclusion, HTZ enables MNOs to implement advanced network optimisation strategies, ultimately enhancing the quality of service and user experience across its networks. It enables the smooth data exchange between the national regulator, who is also a user, and the mobile network operator (MNO).
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Coverage and Capacity: drivers for network growth Ensuring network coverage and managing traffic effectively are paramount for every mobile network operator to meet the demands of an expanding subscriber base. For a leading European MNO, ensuring ample network capacity across their region was paramount to sustaining expansion and increasing subscriber numbers. Operating a 4G/5G network for cellular services, the MNO used HTZ Communications to reinforce their network. This multi-technology tool supports signal strength and quality analysis and enables operators to undertake network optimisation and reduce not-spots across the network. Users can simulate radio propagation across a given terrain and assess interference using HTZ’s library of propagation models. The capacity planning function allows operators to determine the network’s capacity to manage present and future traffic demands, taking into account subscriber density, application use and data rates. From a network optimisation perspective, the MNO stands to gain valuable insights into traffic analysis including automated frequency assignment and frequency optimisation. Also, HTZ’s interference analysis function assesses co-channel interference from neighboring cells, adjacent channel interference from overlapping frequency bands and external interference sources. In conclusion, HTZ enables MNOs to implement advanced network optimisation strategies, ultimately enhancing the quality of service and user experience across its networks. It enables the smooth data exchange between the national regulator, who is also a user, and the mobile network operator (MNO).
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"5 Whys" technique to investigate the root cause of a Data Communication Network (DCN) outage in a microwave network. Problem Statement: DCN connectivity for a section of the microwave network is down, leading to a disruption in network management and control functions. 1. Why did the DCN connectivity go down? Answer: The DCN connection failed due to a loss of connectivity with the network management system. 2. Why did the network management system lose connectivity? Answer: The network management system lost connectivity because it was unable to establish communication with the DCN gateway device. 3. Why was the DCN gateway device unreachable? Answer: The DCN gateway device was unreachable because its power source failed unexpectedly. 4. Why did the power source of the DCN gateway device fail? Answer: The power source failed due to an electrical outage in the equipment room where the DCN gateway device is located. 5. Why was there an electrical outage in the equipment room? Answer: The electrical outage occurred because a circuit breaker tripped in response to a surge caused by a lightning strike near the building housing the equipment room. Root Cause: The DCN connectivity outage in the microwave network was ultimately caused by a lightning strike near the building, leading to a power surge that triggered an electrical outage in the equipment room, resulting in the failure of the power source for the DCN gateway device. By applying the "5 Whys" technique, network engineers can systematically drill down into the underlying causes of a DCN issue in a microwave network and identify the fundamental reason for the problem. This method helps uncover not just the immediate symptoms but also the deeper root cause that, once addressed, can prevent similar issues from occurring in the future.
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