EP-4740549-A1 - METHOD AND SYSTEM FOR SIGNAL TO INTERFERENCE AND NOISE RATIO (SINR) ESTIMATION IN CELLULAR NETWORKS

Abstract

The present disclosure relates to a method [500] and a system [300] for SINR estimation in cellular networks The system [300] comprises a defining unit [308] to define a calculation radius for filtering interfering signals from plurality of cells that are beyond the calculation radius. Further, a display unit [310] to simulate the cluster area incorporating the geometrical details of indoor building polygon and outdoor area. Further, a creating unit [312] creates a buffer polygon around indoor building polygon. Further, a determining unit [314] to determine a SINR for outdoor area. Further, the determining unit [314] to determine a set of KPI statistics for indoor building polygon, the outdoor area, and the buffer zone. Further, a processing unit [316] to estimate SINR-based customer experience for indoor building and the outdoor areas based on the KPI statistics, the estimation is indicative of actual customer experience for enhanced heterogeneous network planning.

Inventors

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

Assignees

• Jio Platforms Limited

Dates

Publication Date

20260513

Application Date

20240611

Claims (16)

1. 1. A method [500] for signal to interference and noise ratio (SINR) estimation in cellular networks, the method [500] comprising the steps of: - defining, by a defining unit [308], a calculation radius for filtering potential interfering signals from a set of cells of a plurality of cells that are beyond the calculation radius; simulating, by a display unit [310], a cluster area incorporating a geometrical details of one of an indoor building polygon and an outdoor area; - creating, by a creating unit [312], a buffer polygon around the indoor building polygon, the buffer polygon corresponds to a buffer zone surrounding the indoor building polygon; - determining, by a determining unit [314], a signal to interference plus noise ratio (SINR) for outdoor area based on the defined calculation radius; - determining, by the determining unit [314], a set of Key Performance Indicator (KPI) statistics for the indoor building polygon, the outdoor area, and the buffer zone; and - estimating, by a processing unit [316], a SINR-based customer experience forthe indoor building and the outdoor areas based on the determined set of KPI statistics, the estimation is indicative of actual customer experience for enhanced heterogeneous network planning.
2. 2. The method [500] as claimed in claim 1, wherein the calculation radius is determined based on an average inter-site distance among the plurality of cells within a cellular network cluster.
3. 3. The method [500] as claimed in claim 1, wherein the buffer polygon is created at a predetermined distance from the indoor building polygon, said distance being selected to optimize the representation of outdoor user experience adjacent to the building structures.
4. 4. The method [500] as claimed in claim 1, wherein the SINR and the set of KPI statistics facilitates assessing, by the processing unit [316], a suitability of the buffer zone for a Fixed Wireless Services (FWS) deployment, based on a radio frequency (RF) quality just outside tire building walls.
5. 5. The method [500] as claimed in claim 1, wherein the method [500] comprises generating, by a generating unit [318], a result comparison table, wherein the result comparison table reflects the quality of a RF signals in the indoor building polygon, the outdoor area, and the buffer polygon based on the calculated SINR values.
6. 6. The method [500] as claimed in claim 5, wherein the result comparison table comprises one or more SINR values represented in decibels for the indoor building polygons, the outdoor areas, and the buffer polygon.
7. 7. The method [500] as claimed in claim 1, further comprises determining, by the determining unit [314], a width of the buffer zone polygon is based at least on density of the indoor building polygon in the cellular network cluster.
8. 8. A system [300] for signal to interference and noise ratio (SINR) estimation in cellular networks, said system [300] comprising: - a defining unit [308] configured to define a calculation radius for filtering potential interfering signals from a set of cells of a plurality of cells that are beyond the calculation radius; - a display unit [310] connected to at least the defining unit [308], wherein the display unit [310] is configured to simulate a cluster area incorporating a geometrical details of an indoor building polygon and an outdoor area; - a creating unit [312] connected to at least the display unit [310], wherein the creating unit [312] is connected to configured to create a buffer polygon around the indoor building polygon, the buffer polygon corresponds to a buffer zone surrounding the indoor building polygon; - a determining unit [314] connected to at least the creating unit [312], wherein the determining unit [314] is configured to: • determine a signal to interference plus noise ratio (SINR) for the outdoor area based on the defined calculation radius, and • determine a set of Key Performance Indicator (KPI) statistics for the indoor building polygon, the outdoor area, and the buffer zone; and - a processing unit [316] connected to at least the determining unit [314], wherein the processing unit [316] is configured to estimate a SINR-based customer experience for the indoor building and the outdoor areas based on the determined set of KPI statistics, the estimation is indicative of actual customer experience for enhanced heterogeneous network planning.
9. 9. The system [300] as claimed in claim 8, wherein the calculation radius is determined based on an average inter-site distance among the plurality of cells within a cellular network cluster.
10. 10. The system [300] as claimed in claim 8, wherein the buffer polygon is created at a predetermined distance from the indoor building polygon, said distance being selected to optimize the representation of outdoor user experience adjacent to the building structures.
11. 11. The system [300] as claimed in claim 8, the processing unit [316] is configured to determine a suitability of the buffer zone for a Fixed Wireless Services (FWS) deployment, based on a radio frequency (RF) quality just outside the building walls.
12. 12. The system [300] as claimed in claim 8, wherein the system [300] comprises a generating unit [318] configured to generate a result comparison table, wherein the result comparison table reflects the quality of a RF signals in the indoor building polygon, the outdoor area, and the buffer polygon based on the calculated SINR values.
13. 13. The system [300] as claimed in claim 12, wherein the result comparison table comprises one or more SINR values represented in decibels for the indoor building polygons, the outdoor areas, and the buffer polygon.
14. 14. The system [300] as claimed in claim 8, wherein the determining unit [314] is further configured to determine, a width of the buffer zone polygon is based at least on density of the indoor building polygon in the cellular network cluster.
15. 15. A user equipment (UE) comprises : a defining unit [308] configured to define a calculation radius for filtering potential interfering signals from a set of cells of a plurality of cells that are beyond the calculation radius; a display unit [310] configured to simulate a cluster area incorporating a geometrical details of an indoor building polygon and an outdoor area; a creating unit [312] configured to create a buffer polygon around the indoor building polygon, the buffer polygon corresponds to a buffer zone surrounding the indoor building polygon; a determining unit [314] configured to: • determine a signal to interference plus noise ratio (SINR) for the outdoor area based on the defined calculation radius, and • determine a set of Key Performance Indicator (KPI) statistics for the indoor building polygon, the outdoor area, and the buffer zone; and a processing unit [316] configured to estimate a SINR-based customer experience for the indoor building and the outdoor areas based on the determined set of KPI statistics, the estimation is indicative of actual customer experience for enhanced heterogeneous network planning.
16. 16. A non-transitory computer readable storage medium storing instructions for signal to interference and noise ratio (SINR) estimation in cellular networks, the instructions including executable code, the executable code when executed, may cause: • a defining unit [308] to define a calculation radius for filtering potential interfering signals from a set of cells of a plurality of cells that are beyond the calculation radius; • a display unit [310] to simulate a cluster area incorporating a geometrical details of an indoor building polygon and an outdoor area; • a creating unit [312] to create a buffer polygon around the indoor building polygon, the buffer polygon corresponds to a buffer zone surrounding the indoor building polygon; • a determining unit [314] to: o determine a signal to interference plus noise ratio (SINR) for the outdoor area based on the defined calculation radius, and o determine a set of Key Performance Indicator (KPI) statistics for the indoor building polygon, the outdoor area, and the buffer zone; and • a processing unit [316] to estimate a SINR-based customer experience for the indoor building and the outdoor areas based on the determined set of KPI statistics, the estimation is indicative of actual customer experience for enhanced heterogeneous network planning.

Description

METHOD AND SYSTEM FOR SIGNAL TO INTERFERENCE AND NOISE RATIO (SINR) ESTIMATION IN CELLULAR NETWORKS TECHNICAL FIELD [001] Embodiments of the present disclosure generally relate to the field of wireless communication systems. In particular, the present disclosure relates to signal to interference and noise ratio. More particularly, the present disclosure relates to system and method for signal to interference and noise ratio (SINR) estimation in cellular networks. BACKGROUND [002] 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. [003] 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. The third- generation (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. [004] Despite having multiple advancements in the wireless communication technology over the time, there are some issues that are to be resolved. One of the issue is a poor prediction of customer experience compared to the actual field data. The estimated customer experience tends to be worse than what is experienced in reality, leading to a discrepancy between the predicted and actual customer satisfaction levels. Another issue is that some of the prior art often shows better SINR statistics for indoor environments compared to outdoor environments. This contradicts the practical understanding that outdoor SINR is typically lower due to factors such as reflections and interference from multiple cells. The existing solutions lacks effective filtering criteria for identifying actual interferes that significantly impact the SINR. Existing methods based on signal strength are not suitable, leading to poor SINR estimations. This hampers accurate analysis and decision-making in network planning, thereby necessitating the need for alternative approaches. Better estimation of SINR is very crucial for the 5G access network in order to identify the benefits of Beamforming and allows operator to do better Heterogeneous network planning. [005] Thus, there exists an imperative need in the art for system and method for signal to interference and noise ratio estimation in cellular networks, that aims to provide more accurate SINR estimations, closer alignment with actual customer experiences, and better differentiation between indoor and outdoor SINR statistics. SUMMARY [006] 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. [007] An aspect of the present disclosure may relate to a method for signal to interference and noise ratio (SINR) estimation in cellular networks. The method comprising defining, by a defining unit, a calculation radius for filtering potential interfering signals from a set of cells of a plurality of cells that are beyond the calculation radius. The method further comprises simulating, by a display unit, a cluster area incorporating a geometrical details of one of an indoor building polygon and an outdoor area. The method further comprises creating, by a creating unit, a buffer polygon around the indoor building polygon, the buffer polygon corresponds to a buffer zone surrounding the indoor building polygon. The method further comprises determining, by a determining unit, a signal to interference plus noise ratio (SINR) for outdoor area based on the defined calculation radius. The method further comprises determining, by the determining unit, a set of Key Performance Indicator (KPI) statistics for the indoor building polygon, the outdoor area, and the buffer zone. The method further comprises estimating, by a processing unit, a SINR-based c