Power consumption models of base station : measurements and comparison
Bhusal, Khemraj (2024-07-01)
Bhusal, Khemraj
K. Bhusal
01.07.2024
© 2024 Khemraj Bhusal. Ellei toisin mainita, uudelleenkäyttö on sallittu Creative Commons Attribution 4.0 International (CC-BY 4.0) -lisenssillä (https://creativecommons.org/licenses/by/4.0/). Uudelleenkäyttö on sallittua edellyttäen, että lähde mainitaan asianmukaisesti ja mahdolliset muutokset merkitään. Sellaisten osien käyttö tai jäljentäminen, jotka eivät ole tekijän tai tekijöiden omaisuutta, saattaa edellyttää lupaa suoraan asianomaisilta oikeudenhaltijoilta.
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:oulu-202407015089
https://urn.fi/URN:NBN:fi:oulu-202407015089
Tiivistelmä
This thesis presents a comprehensive analysis of power consumption models of base stations. The research delves into the distribution of power consumption across different types of base stations, highlighting the significant role of power amplifiers in macro stations and baseband processing units in smaller stations. The study also explores power consumption models in new radio and idle power consumption modes. Furthermore, this paper investigates power consumption in wireless networks, exploring possible ways to reduce power consumption at base stations. It also outlines various methods of linearization aimed at enhancing the linearity and efficiency of radio frequency power amplifiers. Pre-distortion linearization can achieve reasonable linearity, bandwidth, and efficiency. Results indicate that optimizing baseband processing efficiency can lead to substantial energy savings, especially in smaller base stations. The study also reveals that higher-order modulations may increase power consumption, emphasizing the importance of developing energy-efficient strategies for evolving modulation schemes. However, the current method used for measuring power consumption in the thesis is not highly effective as expected, indicating a need for new measurement approaches to obtain accurate results. These insights highlight the need for ongoing research into better methods for accurately measuring and optimizing power consumption in base stations. This research is crucial for enhancing energy efficiency in wireless communications engineering.
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