17387844. SIDELINK-ASSISTED POSITION ESTIMATION PROCEDURE simplified abstract (QUALCOMM Incorporated)

SIDELINK-ASSISTED POSITION ESTIMATION PROCEDURE

Organization Name

QUALCOMM Incorporated

Inventor(s)

Marwen Zorgui of San Diego CA (US)

Srinivas Yerramalli of Hyderabad (IN)

Xiaoxia Zhang of San Diego CA (US)

Piyush Gupta of Bridgewater NJ (US)

Rajat Prakash of San Diego CA (US)

Junyi Li of Fairless Hills PA (US)

Xiaojie Wang of Hillsborough NJ (US)

Mohammad Tarek Fahim of Tucson AZ (US)

SIDELINK-ASSISTED POSITION ESTIMATION PROCEDURE - A simplified explanation of the abstract

This abstract first appeared for US patent application 17387844 titled 'SIDELINK-ASSISTED POSITION ESTIMATION PROCEDURE

Simplified Explanation

The patent application describes techniques for wireless communication that enable position estimation of a set of target user equipment (UE) using a SL-assisted procedure. Here are the key points:

• A position estimation entity (e.g., UE, gNB, LMF) identifies a pool of UEs for the position estimation procedure.
• The pool of UEs communicates SL SRS-Ps (Sounding Reference Signal - Positioning) for relative SL ranging.
• Some UEs in the pool also communicate UL SRS-Ps for additional measurement data.
• The position estimation entity collects measurement data from both SL SRS-P and UL SRS-P communications.
• Based on the measurement information, the position estimation entity determines a position estimate for each UE in the set of UEs.

Potential applications of this technology:

• Location-based services: The position estimation technique can be used to provide accurate location information for various services such as navigation, asset tracking, emergency response, and targeted advertising.
• Network optimization: By accurately estimating the positions of UEs, network operators can optimize their network planning, resource allocation, and coverage to improve overall network performance.
• Indoor positioning: The SL-assisted position estimation can be particularly useful for indoor environments where GPS signals may be weak or unavailable.

Problems solved by this technology:

• Accurate position estimation: The technique allows for more precise determination of the positions of UEs, which can be challenging in wireless communication due to factors like signal interference and multipath propagation.
• Scalability: By using a pool of UEs for SL-assisted position estimation, the technique can handle a larger number of target UEs simultaneously, improving scalability compared to traditional methods.
• Enhanced measurement data: By utilizing both SL SRS-Ps and UL SRS-Ps, the technique provides more comprehensive measurement data, leading to more accurate position estimates.

Benefits of this technology:

• Improved accuracy: The technique enables more accurate position estimation, which is crucial for location-based services and other applications that rely on precise location information.
• Increased efficiency: By utilizing SL SRS-Ps and UL SRS-Ps, the technique optimizes the use of available resources and improves the efficiency of the position estimation procedure.
• Enhanced user experience: Accurate position estimation can enhance the user experience of location-based services, enabling more personalized and relevant services.

Original Abstract Submitted

Disclosed are techniques for wireless communication. In an aspect, a position estimation entity (e.g., UE, gNB, LMF, etc.) identifies a pool of UEs for a SL-assisted position estimation procedure of a set of target UEs. SL SRS-Ps are communicated (e.g., transmitted and measured) between the pool of UEs (e.g., for relative SL ranging). UL SRS-Ps are communicated by at least some of the UEs in the pool of UEs. The position estimation entity obtains measurement data for both the SL SRS-P and UL-SRS-P communications. The position estimation entity determines a position estimate for each UE in the set of UEs based on the measurement information.