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LTE & 5G NR Carrier Aggregation Network Optimization through Advanced Measurement Configuration

Ritesh Patel

Abstract


The ability to merge numerous frequency carriers—component carriers—to increase transmission bandwidth and throughput speeds over what can be achieved with a single carrier is known as carrier aggregation, and it is a crucial technology in 4G LTE and 5G networks. Cellular devices may attain gigabit data speeds by combining carriers from several frequency bands, such as 600 MHz to mm Wave frequencies, to increase downlink and uplink capacity. This study examines LTE and 5G New Radio (NR) carrier aggregation schemes and analyzes their important features, including advanced multi-antenna setups, bandwidth scaling, maximal data rates, and frequency compatibility. Analyzing real-world measurement setup processes that provide dynamic carrier aggregation by activating secondary cells in response to device feedback is a primary emphasis. The research draws attention to the shortcomings of current methods that put multi-user situations at risk of overcrowding by mandating neighbor assessments across all active performance criteria. On a scale, the resulting burden significantly reduces aggregation latency and efficiency. An intelligent measuring method that improves aggregation receptivity and reliability is suggested to solve these drawbacks. Carriers are activated quicker, and device processing and power consumption are minimized by setting devices selectively depending on segmentation and application requirements rather than static setups. Continuous monitoring further corresponds to changing network circumstances to enhance spectrum use. Thus, the concepts offer a workable framework for utilizing measurement input to realize the promise of multi-carrier cellular networks fully. Such aggregation advances are necessary for more intelligent and robust 5G connection as high data demands push the limits of infrastructure capabilities.


Keywords


5G Network Performance, LTE Network Optimization, Measurement Based Optimization, 5G Carrier Aggregation, Network Optimization techniques, Cellular Network Performance

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References


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DOI: https://doi.org/10.37591/jotssn.v10i2.7641

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