Communication network architectures, systems and methods for supporting a network of mobile and/or static nodes. As a non-limiting example, various aspects of this disclosure provide communication network architectures, systems, and methods for providing dynamic routing and/or selection of communication pathways in a communication network comprising a complex array of both static and moving communication nodes (e.g., the Internet of moving things), for example including a network of autonomous vehicles.

Self-driving and autonomous vehicles are very popular these days for scientific, technological, social, and economical reasons. In one aspect of this technology, one of the main concerns for an implementation of any V2X technology on a large scale is the issue of congestion control. In large cities and crowded highways during rush hours, each host vehicle can get messages from over 200 other vehicles and several road side units, all working on the same channel and trying to send and receive messages at the same time. With respect to the weather effect on signal, the signal path loss occurs whenever there is moderate (or moderate plus) rain, and because of that, the OBU communications packets are prone to get lost, or communication coverage region gets diminished, depending upon the intensity, speed, angle and temperature of the rainfall/snowfall droplets. We have provided the solutions for these 2 problems, with variations.

A forwarding control method and a forwarding control apparatus is provided. A method comprises: at least determining, in response to a forwarding demand of measured data of at least one mobile terminal, a distribution state of neighboring terminals associated with a forwarding expectation of the measured data of the at least one mobile terminal; and determining, at least according to the distribution state, a forwarding mode of the measured data corresponding to the distribution state. In response to a forwarding demand of measured data, a corresponding forwarding mode can be selected according to a distribution state of neighboring terminals, so as to avoid problems, such as signaling overhead, delay, and an over heavy air interface burden, which may be caused by blindly determining a forwarding channel, and assist in implementing more effective forwarding.

A method for determining routes for a data circuit between source and destination terminals, where the circuit is formed via satellites traveling in respective non-geostationary orbits, and a total time during which the circuit is active is divided into time intervals. The determination of each route comprises, for each time interval, (i) selecting an uplink satellite to service the source terminal as an ingress node for the circuit, and (ii) determining a series of inter-satellite links connecting the uplink satellite to a downlink satellite servicing the destination terminal during the respective time interval, wherein the series of links is determined to be valid during the respective time interval. Each of the plurality of time intervals is of a duration based on a validity time, based on the satellites traveling in their respective orbits, for the inter-satellite link of all of the routes that is of the shortest duration.

A communication system includes a central cloud server that decreases a gain of a currently active path, which corresponds to a primary communication path between a radio access network (RAN) node and one or more user equipment (UEs) via a first set of edge devices, until the currently active path becomes dormant. A gain of a dormant path, corresponding to a secondary communication path is increased until the dormant path becomes a new active path. Further, at least one edge device of the second set of edge devices is caused to transmit one or more beams of radio frequency (RF) signals in one or more specific directions towards one or more new neighboring nodes to establish the secondary communication path that is used as a backup communication path between the RAN node and the one or more UEs via a second set of edge devices different from the first set of edge devices.

Various embodiments comprise systems, methods, architectures, mechanisms and apparatus for optimizing the delivery of multicast messages to a set of targeted (receiver) devices via a low power wide area (LPWA) network such as by minimizing a number of gateway devices in a set of gateway devices needed to reach the target devices, by optimizing the use of radio communication resources to minimize costs associated with using metered backhaul network services (e.g., costs associated with using cellular network backhaul services), by maximizing the resiliency, speed, or synchronization of the set of gateway devices, by favoring operator-owned resources, or by achieving other goals consistent with operator policies, preferences and other considerations.

Communication network architectures, systems and methods for supporting a network of mobile and/or static nodes. As a non-limiting example, various aspects of this disclosure provide communication network architectures, systems, and methods for providing dynamic routing and/or selection of communication pathways in a communication network comprising a complex array of both static and moving communication nodes (e.g., the Internet of moving things), for example including a network of autonomous vehicles.

Provided is an integrated-system simulation system obtained from a simulation system having a command, control, and communication (C3) system of systems (SoS). The integrated-system simulation system includes an abstracted command and control (C2) model including a traffic model including inter-node traffic information transferred according to time, a mobility model including position information of nodes, and an interface model making the traffic model and the mobility model interoperate, and a communication (C) model configured to be combined with the abstracted C2 model so as to interact with the abstracted C2 model in a full-duplex manner. The abstracted C2 model is generated by acquiring traffic and mobility data between the C2 model and the C model of the SoS simulation system, hypothesizing a form of the abstracted C2 model, and learning the traffic and mobility data acquired from the SoS simulation system and determining variables of the abstracted C2 model form.

A cellular system comprising at least one moving non-stationary base station for enabling cellular communication between at least two mobile stations in a geographic area that lacks adequate cellular coverage by at least one stationary base station.

Wireless communication via a mesh network of connected movable objects is described. A method includes determining, by a device including a processor, a value of a characteristic of a first movable object of movable objects communicatively coupled to a wireless network, wherein the movable objects are automated vehicles, and wherein the determining the value is based on a likelihood of receipt of a message transmitted from the first movable object to a second movable object of the movable objects. The method also includes generating information usable to move the first movable object in a manner that satisfies a defined condition associated with the value. The information can be strength of a wireless communication channel between the first movable object and a second movable object of the movable objects.