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EP-4740568-A1 - METHOD AND SYSTEM FOR VALIDATING ENERGY CONSUMPTION USING PHYSICAL RESOURCE BLOCK IN A COMMUNICATION SYSTEM

EP4740568A1EP 4740568 A1EP4740568 A1EP 4740568A1EP-4740568-A1

Abstract

The present disclosure relates to a method and a system for validating energy consumption using physical resource block. The disclosure encompasses: collecting a set of performance metrics for one or more cell sites in a network region; mapping each of the one or more cell sites to one sector and band based on the collected set of performance metrics; determining an average value of daily PRB utilization data for the mapped sector and band; computing total estimated power consumption for each site by aggregating a sector RRH power, a BBU power, an NE power, a microwave power, and a cabinet power based on the average value of daily PRB utilization data; comparing the computed total estimated power consumption with actual energy consumption data for each cell site; and identifying discrepancies between the computed total estimated power consumption and actual energy consumption to validate the energy consumption of the cell site.

Inventors

  • SHAH, BRIJESH
  • BHATNAGAR, PRADEEP KUMAR
  • BHATNAGAR, AAYUSH
  • AWASTHI, NITIN
  • Kalim, Mohammad
  • Gupta, Ajeet Kumar
  • MUNAIN, GOURANGA
  • TARAN, MAYANK
  • CHOURASIA, NITESH KUMAR

Assignees

  • Jio Platforms Limited

Dates

Publication Date
20260513
Application Date
20240628

Claims (20)

  1. 1. A method for validating energy consumption using physical resource block (PRB) utilization in a communication system, the method comprising the steps of: collecting, by a collecting unit [302], a set of performance metrics for one or more cell sites in a network region; mapping, by a mapping unit [304], each of the one or more cell sites to at least one sector and band, associated with the corresponding one or more cell sites, based on the collected set of performance metrics; determining, by a determining unit [306], an average value of daily PRB utilization data for the mapped at least one sector and band; computing, by a processing unit [308], total estimated power consumption for each cell site by aggregating at least one of a sector remote radio head (RRH) power, a baseband unit (BBU) power, a network elements (NE) power, a microwave power, and a cabinet power based on the average value of daily PRB utilization data; comparing, by a comparing unit [310], the computed total estimated power consumption with actual energy consumption data for each cell site; and identifying, by an identifying unit [312], one or more discrepancies between the computed total estimated power consumption and actual energy consumption to validate the energy consumption of the cell site.
  2. 2. The method as claimed in claim 1, wherein the actual energy consumption is determined based on at least one of switched mode power supply (SMPS) usage data, diesel generator (DG) usage data, and electricity bill data.
  3. 3. The method as claimed in claim 1, further comprises enriching, by the processing unit [308], the collected set of performance metrics by adding at least one of: a Geographic Information System (GIS) scope and one or more priority details for each of the one or more cell sites.
  4. 4. The method as claimed in claim 1, wherein the method comprises determining, by the processing unit [308], the average value of daily PRB Utilization for at least one of: each of the one or more cell Sites, Band, and Sector.
  5. 5. The method as claimed in claim 1, further comprising mapping, by the mapping unit [304], power consumption of each cell site to the average value of daily PRB utilization for each cell Site, Band, and Sector based on at least one of the PRB Utilization and the RRH power.
  6. 6. The method as claimed in claim 1, wherein the method comprises assigning, by the processing unit [308], a service type to each of the one or more cell sites, wherein at least one of: the service type comprises at least one of Long Term Evolution (LTE) Only and LTE & 5G, and the BBU Power & Cabinet power are added based on an assigned service type.
  7. 7. The method as claimed in claim 1, further comprising mapping, by the mapping unit [304], network equipment (NE) power consumption and microwave power consumption of each cell site to the power consumption of the corresponding one or more cell sites by utilizing data from Transport Inventory Dump and Microwave Equipment Power Consumption.
  8. 8. The method as claimed in claim 1, wherein the cell sites selected based on identified one or more discrepancies are prioritized for audit and corrective action, wherein the audit and corrective action comprises performing at least one of checking for unintended power tapping or changing faulty meters.
  9. 9. The method as claimed in claim 1, wherein the method comprises determining, by the processing unit [308], the computed total estimated energy consumption in Kilowatt-hours (KWH) based on PRB utilisation by multiplying the computed Total Estimated Power Consumption with 24.
  10. 10. The method as claimed in claim 1, wherein the method comprises determining, by the processing unit [308], the computed Total Estimated energy consumption in KWH based on a SMPS DC power average value, by multiplying a SMPS DC power average value with 24.
  11. 11. The method as claimed in claim 10, further comprising calculating, by the processing unit [308] at least one of: a delta percentage between PRB and SMPS energy estimate by determining difference between the SMPS DC power average value and the computed total estimated power consumption based on load, divided by the SMPS DC power average value, multiplied by 100, to assess alignment between calculated and actual power draw based on load versus power supply characteristics; a delta percentage between SMPS-based estimated energy units and the energy units reported in electricity bill (EB Bill) by subtracting number of units consumed by diesel generators from total estimated units based on SMPS, then dividing result by the consumption as per EB Bill, and multiplying by 100, to validate bill accuracy against estimated power consumption using SMPS data; and a delta percentage between PRB-based estimated energy units and the energy units reported in the EB bill by subtracting number of units consumed by diesel generators from the total estimated units based on load, then dividing result by the estimated power consumption as per EB Bill, and multiplying by 100, providing a comprehensive metric to detect the one or more discrepancies in energy billing versus estimated consumption based on PRB data.
  12. 12. A system [300] for validating energy consumption using physical resource block (PRB) utilization in a communication system, the system [300] comprises: a collecting unit [302] configured to collect a set of performance metrics for one or more cell sites in a network region; a mapping unit [304] configured to map each of the one or more cell sites to at least one sector and band, associated with the corresponding one or more cell sites, based on the collected set of performance metrics; a determining unit [306] configured to determine an average value of daily PRB utilization data for the mapped at least one sector and band; a processing unit [308] configured to compute total estimated power consumption for each cell site by aggregating at least one of a sector remote radio head (RRH) power, a baseband unit (BBU) Power, a network elements (NE) Power, a microwave Power, and a cabinet Power based on the average value of daily PRB utilization data; a comparing unit [310] configured to compare the computed total estimated power consumption with actual energy consumption data for each cell site; and an identifying unit [312] configured to identify one or more discrepancies between the computed total estimated power consumption and actual energy consumption to validate the energy consumption of the cell site.
  13. 13. The system [300] as claimed in claim 12, wherein the actual energy consumption is determined based on at least one of switched mode power supply (SMPS) usage data, diesel generator (DG) usage data, and electricity bill data.
  14. 14. The system [300] as claimed in claim 12, wherein the processing unit [308] is configured to enrich the collected set of performance metrics by adding at least one of a Geographic Information System (GIS) scope and one or more priority details for each of the one or more cell sites.
  15. 15. The system [300] as claimed in claim 12, wherein the processing unit [308] is configured to determine the average value of daily PRB Utilization for at least one of each of the one or more cell Sites, Band, and Sector.
  16. 16. The system [300] as claimed in claim 12, wherein the mapping unit [304] is further configured to map power consumption of each cell site to the average value of daily PRB utilization for each cell Site, Band, and Sector based on at least one of the PRB Utilization and the RRH power.
  17. 17. The system [300] as claimed in claim 12, wherein the processing unit [308] is configured to assign a service type to each of the one or more cell sites, wherein at least one of the service type comprises at least one of Long Term Evolution (LTE) Only and LTE & 5G, and the BBU Power & Cabinet power is added based on an assigned service type.
  18. 18. The system [300] as claimed in claim 12, wherein the mapping unit [304] is configured to map network equipment (NE) power consumption and microwave power consumption of each cell site to the power consumption of the corresponding one or more cell sites by utilizing data from Transport Inventory Dump and Microwave Equipment Power Consumption.
  19. 19. The system [300] as claimed in claim 12, wherein the one or more cell sites, selected based on the identified one or more discrepancies, are prioritized for audit and corrective actions, wherein the audit and corrective action comprises at least one of checking for unintended power tapping, and changing faulty meters.
  20. 20. The system [300] as claimed in claim 12, wherein the processing unit [308] is configured to determine computed Total Estimated energy consumption in Kilowatt-hours (KWH) based on PRB utilisation by multiplying computed Total Estimated Power Consumption based on Load with 24.

Description

METHOD AND SYSTEM FOR VALIDATING ENERGY CONSUMPTION USING PHYSICAL RESOURCE BLOCK IN A COMMUNICATION SYSTEM FIELD OF INVENTION [0001] Embodiments of the present disclosure generally relate to network performance management systems. More particularly, embodiments of the present disclosure relate to validating energy consumption using physical resource block (PRB) in a communication system. BACKGROUND [0002] The following description of the related art is intended to provide background information pertaining to the field of the disclosure. This section may include certain aspects of the art that may be related to various features of the present disclosure. However, it should be appreciated that this section is used only to enhance the understanding of the reader with respect to the present disclosure, and not as admissions of the prior art. [0003] Wireless communication technology has rapidly evolved over the past few decades, with each generation bringing significant improvements and advancements. The first generation of wireless communication technology was based on analog technology and offered only voice services. However, with the advent of the second-generation (2G) technology, digital communication and data services became possible, and text messaging was introduced. 3G technology marked the introduction of high-speed internet access, mobile video calling, and location-based services. The fourth-generation (4G) technology revolutionized wireless communication with faster data speeds, better network coverage, and improved security. Currently, the fifth-generation (5G) technology is being deployed, promising even faster data speeds, low latency, and the ability to connect multiple devices simultaneously. With each generation, wireless communication technology has become more advanced, sophisticated, and capable of delivering more services to its users. [0004] The validation of cell site energy consumption can sometimes have deficiencies that need to be addressed for accurate analysis and decision-making. One common deficiency is the lack of granularity in data collection and monitoring. Energy consumption validation often relies on aggregated data, such as monthly or annual utility bills, which may not provide a detailed breakdown of energy usage by specific areas or equipment within a cell site. This limited granularity makes it challenging to identify specific areas of inefficiency or opportunities for improvement. To overcome this deficiency, more granular data collection methods, such as submetering or real-time monitoring, can be employed to capture energy usage at a more detailed level. [0005] Another deficiency in the current existing solutions is the lack of benchmarking and comparison. Validating cell site energy consumption becomes more meaningful when it can be compared to industry standards or similar facilities. Without benchmarking, it becomes difficult to assess whether a cell site's energy consumption is efficient or if there is room for improvement. Benchmarking allows for identifying outliers and setting realistic energy reduction goals. By utilizing tools and resources that provide benchmarking data, cell site owners can gain insights into their energy performance and make informed decisions on energy efficiency measures. [0006] Furthermore, in the current existing solutions in considering external factors can impact the validation of cell site energy consumption. Factors such as weather conditions, occupancy patterns, or production fluctuations can significantly influence energy usage but may not be accounted for in the validation process. Failing to consider these external factors can lead to inaccurate assessments of energy performance and hinder the identification of energy-saving opportunities. It is essential to incorporate these variables into the validation process to obtain a comprehensive understanding of a cell site's energy consumption and make informed energy management decisions. [0007] Thus, there exists an imperative need in the art to address the major drawbacks in the existing solutions, which the present disclosure aims to address. SUMMARY [0008] This section is provided to introduce certain aspects of the present disclosure in a simplified form that are further described below in the detailed description. This summary is not intended to identify the key features or the scope of the claimed subject matter. [0009] An aspect of the present disclosure may relate to a method for validating energy consumption using physical resource block (PRB) in a communication system. The method includes collecting, by a collecting unit, a set of performance metrics for one or more cell sites in a network region. Furthermore, the method includes mapping, by a mapping unit, each of the one or more cell sites to at least one sector and band based on the collected set of performance metrics. The method further encompasses determining, by a determining unit, an average value of daily P