This document presents a comprehensive analysis of spectrum emission mask plots for various LTE bands. The analysis focuses on Bands 2, 4, and 5, examining different channel bandwidths ranging from 1.4MHz to 20MHz. The plots illustrate the spectral behavior of QPSK and 16QAM modulations under varying resource block allocations, including scenarios with one resource block at different offsets (e.g., 1@0, 1@5, 1@14, 1@24, 1@49, 1@74, 1@99) and full resource block allocations (e.g., 6@0, 15@0, 25@0, 50@0, 75@0, 100@0).
The plots provide valuable insights into the out-of-band emissions and spectral containment characteristics of LTE signals under different configurations. This information is crucial for ensuring compliance with regulatory requirements and optimizing network performance. The analysis covers both low and high channel frequencies within each band, offering a complete picture of the spectral behavior across the operating range.
The data presented in this report is essential for network engineers, regulatory bodies, and equipment manufacturers involved in the deployment and operation of LTE networks. By carefully examining these plots, stakeholders can gain a deeper understanding of the spectral characteristics of LTE signals and make informed decisions regarding network design and optimization.
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The plots provide valuable insights into the out-of-band emissions and spectral containment characteristics of LTE signals under different configurations. This information is crucial for ensuring compliance with regulatory requirements and optimizing network performance. The analysis covers both low and high channel frequencies within each band, offering a complete picture of the spectral behavior across the operating range.
The data presented in this report is essential for network engineers, regulatory bodies, and equipment manufacturers involved in the deployment and operation of LTE networks. By carefully examining these plots, stakeholders can gain a deeper understanding of the spectral characteristics of LTE signals and make informed decisions regarding network design and optimization.
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