An enhanced L-band Digital Aeronautical Communications System (LDACS) may include LDACS ground stations, and LDACS airborne stations configured to communicate with the LDACS ground stations. The enhanced LDACS may also include a Cloud-based network controller configured to allocate LDACS resources to the LDACS ground stations and the LDACS airborne stations based upon a number of LDACS airborne stations, respective flight paths of each LDACS airborne station, a respective type of each LDACS airborne station, and historical data on communication use for each LDACS airborne station.

An enhanced L-band Digital Aeronautical Communications System (LDACS) may include LDACS ground stations, and LDACS airborne stations configured to communicate with the LDACS ground stations. The enhanced LDACS may also include a Cloud-based network controller configured to allocate LDACS resources to the LDACS ground stations and the LDACS airborne stations based upon a number of LDACS airborne stations, respective flight paths of each LDACS airborne station, a respective type of each LDACS airborne station, and historical data on communication use for each LDACS airborne station.

Systems and methods described herein provide an application priority optimization service. Application information associated with an application to be deployed at a Multi-access Edge Computing (MEC) network is received and parameters associated with execution of the application are determined based on the application information. The application is deployed at the MEC network and information associated with performance of the application is obtained. Resources allocated for execution of the application may be adjusted based on the performance of the application to create a modified application and the modified application may be executed at the MEC network.

Systems and methods described herein provide an application priority optimization service. Application information associated with an application to be deployed at a Multi-access Edge Computing (MEC) network is received and parameters associated with execution of the application are determined based on the application information. The application is deployed at the MEC network and information associated with performance of the application is obtained. Resources allocated for execution of the application may be adjusted based on the performance of the application to create a modified application and the modified application may be executed at the MEC network.

The present invention provides a design method of a high energy efficiency Unmanned Aerial Vehicle (UAV) communication system assisted by an intelligent reflecting surface, and belongs to the technical field of UAV communication network energy efficiency optimization. A communication process comprises two transmission links, one link is directly sent from an information source to an information sink, and the other link is reflected and transmitted by an intelligent reflecting surface attached to a UAV. The two links exist simultaneously. Based on an idea of block iteration, an original problem is decomposed into three sub-problems, and a non-convex optimization problem is transformed into solvable concave-convex fractional program problems by a continuous convex approximation technique. The present invention provides a design method for joint optimization of a passive beamforming of the intelligent reflecting surface, an active beamforming of a base station and a flight trajectory of the UAV

The present invention provides a design method of a high energy efficiency Unmanned Aerial Vehicle (UAV) communication system assisted by an intelligent reflecting surface, and belongs to the technical field of UAV communication network energy efficiency optimization. A communication process comprises two transmission links, one link is directly sent from an information source to an information sink, and the other link is reflected and transmitted by an intelligent reflecting surface attached to a UAV. The two links exist simultaneously. Based on an idea of block iteration, an original problem is decomposed into three sub-problems, and a non-convex optimization problem is transformed into solvable concave-convex fractional program problems by a continuous convex approximation technique. The present invention provides a design method for joint optimization of a passive beamforming of the intelligent reflecting surface, an active beamforming of a base station and a flight trajectory of the UAV

Apparatus and methods for streamlined cell activation in a wireless network. In one embodiment, the apparatus and methods provide enhanced wireless services which utilize bandwidth-efficient setup/configuration messaging and cell activation, including for very large numbers of cells, and which do not overwhelm data backhaul(s) associated with wireless nodes used for communication. In one embodiment, a message protocol is used wherein a prescribed number of cells of a given DU (e.g., all, a prescribed subset, etc.) are activated without having to enumerate or include specific data relating to the cells being activated. In one variant, this “global” activation is conducted using an Activate All Cells IE (Information Element) disposed with the F1SETUP RESPONSE message issued by a controlling CU entity within a 5G-NR infrastructure. In other variants, cells of multiple DUs can be controlled simultaneously, such as via distribution of a system-wide global activation IE.

Apparatus and methods for streamlined cell activation in a wireless network. In one embodiment, the apparatus and methods provide enhanced wireless services which utilize bandwidth-efficient setup/configuration messaging and cell activation, including for very large numbers of cells, and which do not overwhelm data backhaul(s) associated with wireless nodes used for communication. In one embodiment, a message protocol is used wherein a prescribed number of cells of a given DU (e.g., all, a prescribed subset, etc.) are activated without having to enumerate or include specific data relating to the cells being activated. In one variant, this “global” activation is conducted using an Activate All Cells IE (Information Element) disposed with the F1SETUP RESPONSE message issued by a controlling CU entity within a 5G-NR infrastructure. In other variants, cells of multiple DUs can be controlled simultaneously, such as via distribution of a system-wide global activation IE.

The present invention relates to a robust coverage method for relay nodes in a double-layer structure wireless sensor network. The present invention is a local search based relay node 2-coverage deployment algorithm which, by means of reducing the global deployment problem to a local deployment problem, achieves optimal deployment whilst ensuring robustness. The method specifically comprises two steps: first 1-coverage and second 1-coverage, wherein the first 1-coverage comprises the three steps of construction of relay node candidate deployment locations, grouping of sensor nodes and local deployment of relay nodes, wherein the sensor nodes are grouped by means of a novel grouping method, and the complexity of the algorithm is reduced whilst ensuring optimal deployment. The second 1-coverage adjusts a threshold, selects from every group the sensor nodes covered by just one relay node, and uses a 1-coverage method to re-implement 1-coverage of the sensor nodes, thereby ensuring robustness, reducing the number of relay nodes deployed, and shortening the problem-saving time.

Each of data receiving devices 20 includes a receiver 22 configured to receive data from a data providing device 10, and a transmitter 21 configured to transmit throughput information indicating a current position and a throughput, to the data providing device 10. The data providing device 10 includes: a receiver 11 configured to receive pieces of the throughput information; a planning unit 12 configured to, on the basis of the received pieces of throughput information, determine preceding data receiving devices 20 existing at positions preceding the current position of a target data receiving device 20 on the same route, and generate a data providing plan for the target data receiving device 20 on the basis of the throughputs of the preceding data receiving devices 20; and a transmitter 13 configured to provide data to the target data receiving device 20 in accordance with the generated data providing plan.