Mobile Network Performance Analysis and Optimization

Summary

Mobile network performance analysis and optimisation encompass the measurement, modelling and enhancement of network metrics such as throughput, latency, jitter and packet loss to deliver robust connectivity and an optimal user experience. Analysis techniques range from active probing and drive-test campaigns to passive monitoring of control-channel indicators and large-scale crowdsourced measurements. Advanced statistical and machine-learning models enable the prediction of performance degradations, informing traffic steering, adaptive resource allocation and intelligent handovers. Optimisation strategies leverage software-defined networking, edge computing, network slicing and cross-layer coordination to balance quality-of-service requirements, spectrum efficiency and energy consumption. The integration of artificial intelligence further refines scheduling and congestion control, supporting emerging applications such as immersive gaming, industrial IoT and autonomous transportation. Globally, these efforts underpin digital inclusion, economic productivity and the sustainable evolution of mobile infrastructures by addressing diverse deployment scenarios from dense urban cores to high-mobility environments.

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Mobile Network Performance Analysis and Optimization publication trend

The graph below shows the total number of articles in mobile network performance analysis and optimization across all publications each year (not limited to Nature Index journals).

Technical terms

Throughput: The rate at which data is successfully delivered over a network connection.

Round-trip time (RTT): The elapsed time for a packet to travel from sender to receiver and back again.

Quality of experience (QoE): The overall user perception of service performance and satisfaction.

Crowdsourced measurements: Performance data collected directly by end-user devices under real-world conditions.

Edge computing: The decentralised processing of data at or near the network periphery to reduce latency and bandwidth use.

References

  1. Mobile Broadband Adoption, Performance Measurements and Methodology: A Review. Electronics (2023).
  2. Predicting High Delays in Mobile Broadband Networks. IEEE Access (2021).
  3. Network Traffic Characteristics and Analysis in Recent Mobile Games. Applied Sciences (2024).

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