A position-determining apparatus, such as a GPS receiver, determines the position of the mobile device based on the time of flight of a transmitted probe signal using a method in which sections of the received signal is classified into two or more categories and accumulated according to categories before being used to compute the correlations familiar in the context of a matched filter. Using the method of the present invention to compute the correlations, and optionally applying additional time-saving techniques described herein, a position determination is achieved using arithmetic operations that are significantly reduced from that required in prior art methods to compute the correlations. The reduced number of arithmetic operations can reduce significantly the power consumption required of a device carrying out a method of the present invention, and thereby realizing a significant advantage.

A radio frequency (RF) device includes a spatial orientation sensor and logic circuit configured to determine spatial orientation of the RF device relative to a reference position or relative to a RF transmitter. In particular, the RF device determines a distance between the RF receiver and the RF transmitter based on a received signal strength of the signal and a determined spatial orientation of the RF device, by determining an orientation compensation value from a stored orientation compensation profile and determining a resulting compensated received signal strength. The RF device is thereby able to determine distance in an orientationally-invariant manner.

For improved messaging reliability in 5G and 6G, mobile users and their base stations can adjust their transmission power according to the current location of the mobile user. Each entity can maintain a map of known attenuation values, including “dead zones”, and can adjust their transmission power and/or reception gain to compensate. Instead of constantly exchanging location-update messages, the users can indicate their speed and direction, and the base station (or other users) can extrapolate the location versus time to determine a future location, and thereby determine the attenuation factor at the new position. In addition, the base station can use a map to follow the mobile user device's progress, and can thereby update the attenuation factor in real-time. If the mobile user makes a change, it can inform the base station at that time, or during initial access. Result: improved reliability, lower energy consumption, improved traffic safety.

In one embodiment, a method includes storing, by a tracking server, a hash value for each of one or more tracking devices associated with the tracking server. The method includes receiving, at the tracking server from a user device, a hash value associated with a tracking device, the hash value computed based on a static value uniquely associated with the tracking device and a dynamic value maintained by the tracking device. The method includes identifying, by the tracking server, the tracking device based on a comparison between one of the stored hash values and the received hash value. The method includes updating, by the tracking server, one or more records associated with the identified tracking device based on the receiving the hash value.

Systems, devices, methods, and program products for enhancing structure walkthroughs are disclosed. In various embodiments, a method includes: monitoring a current location of an interested party (IP) device utilizing data collected by the IP device during a walkthrough of a structure having a structure representative (SR); detecting, based on the current location of the IP device, when the IP device is brought into proximity of a first SR-marked location included in a plurality of structure SR-marked locations; and in response to detecting that the IP device has been brought into proximity of the first SR-marked location, (i) identifying a first SR-created message corresponding to the first SR-marked location and contained in a location-referenced message set; and (ii) generating or causing generation of an SR message notification on the IP device, the SR message notification presenting or offering to present the first SR-created message to the interested party.

A framework for dynamic network resource allocation and energy saving based on the real-time environment, radio network information, and machine learning (ML) can be utilized via a radio access network (RAN) intelligent controller (RIC). Real-time and predicted network utilization can facilitate resource and energy savings by leveraging the RIC platform. For example, a network information base (NIB) in the RIC platform can collects RAN and user equipment (UE) resource related information in real time and provides the abstraction of the access network in the real time. ML can predict real-time information about the UEs at time t based on data analytics and real time radio resource needs. The RIC can then instruct the network to reduce or increase resources.

Method of determining a position of a plurality of mobile network devices relative to a plurality of reference network devices, wherein the plurality of mobile network devices and the plurality of reference network devices communicate with one another over a wireless channel and access the wireless channel according to an access policy comprising a sequence of time frames, wherein each time frame of the sequence comprises a plurality of portions reserved for communicating messages relating to different time-of-flight (ToF) computation methods, each of the different ToF computation methods allowing for determining a position of at least one of the plurality of mobile network devices. A positioning system implements the above method.

The invention is concerned with improvements in mobile communications, and especially with improvements in bonding communications simultaneously utilising multiple mobile networks. It may be embodied in a mobile device (12a, 12b, 12c). The mobile device (12) has a plurality of mobile network interface units (22a, 22b, 22c) each of which is configurable to connect to each of a group of mobile networks (16a, 16b, 16c). The mobile device (12) comprises at least one digital processing device implementing allocation logic which allocates each mobile network unit to one of the mobile networks (16a, 16b, 16c) and causes each mobile network interface unit (22a, 22b, 22c) to be configured to connect to the network (16a, 16b, 16c) to which it is allocated. The allocation logic serves to allocate the mobile network units (22a, 22b, 22c) to the mobile networks (16a, 16b, 16c) based on operating parameters, and to re-allocate the mobile network interface units (22a, 22b, 22c) in response to changes in the operating parameters, causing the mobile network units (22a, 22b, 22c) to be re-configured such as to disconnect from one mobile network and connect to another mobile network.

The present disclosure relates to positioning methods, systems, and apparatuses. One example method includes receiving, by a server, a first message from a first terminal device, where the first message includes first location information determined by the first terminal device, determining, by the server, a first reference object based on the first location information, and sending, by the server, a second message to the first terminal device, where the second message includes identification information of the first reference object, and the identification information of the first reference object is used by the first terminal device to update the first location information.

Disclosed are techniques for training a position estimation module. In an aspect, a first network entity obtains a plurality of positioning measurements, obtains a plurality of positions of one or more user equipments (UEs), the plurality of positions determined based on the plurality of positioning measurements, stores the plurality of positioning measurements as a plurality of features and the plurality of positions as a plurality of labels corresponding to the plurality of features, and trains the position estimation module with the plurality of features and the plurality of labels to determine a position of a UE from positioning measurements taken by the UE.