Abstract: The present invention relates to a group switching method under energy saving modes and belongs to the technical field of communications. By dynamically managing the access and switchover of users through the grouping method, the existing users are provided with services of sufficient quality and quantity, and the switching efficiency is improved so that the cells are prevented from overloading and wasting resources. The proposed group switching method is mainly to group switch users and energy saving compensation cells according to the business types of users and dynamically divide user groups and access the user groups according to resources required by the users and the relationship of sizes of resources provided by the compensation cells. The method fully guarantees the business needs of users and improves the utilization rate of cell resources.

Abstract: The present invention provides a quantization-based method and system for federated fine-tuning a pre-trained large language model (LLM). The system comprises an accelerator configured to identify outlier channels of the LLM and inject a set of adapters into the LLM; and local devices configured to: construct channel-wise scaling vectors on basis of the indices of the identified outlier channels; apply the channel-wise scaling vectors on input matrices of the LLM to obtain scaled activation matrices; quantize the scaled activation matrices to obtain quantized activation matrices; apply the channel-wise scaling vectors on the outlier weight matrices of the LLM to obtain scaled outlier weight matrices; quantize the scaled outlier weight matrices to obtain quantized outlier weight matrices; fine-tune the adapters of the LLM with the quantized activation matrices and the quantized outlier weight matrices. The server is further configured to perform weight aggregation to produce new adapters for the LLM.

Abstract: A reconfigurable artificial intelligence (AI) ecosystem is disclosed. The ecosystem comprises: machine learning-based edge devices, a cloud-based operating system, and a modular service platform. The cloud operating system communicates with edge devices and the modular service platform to manage service delivery. Upon receiving a mission request from a subscriber device, the ecosystem selects appropriate edge models, generates corresponding machine learning edge modules, and deploys them to the edge devices. The edge devices then collect mission-specific data, fine-tune the deployed modules locally, and use the refined models to deliver responsive and adaptive services. The ecosystem adopts an open architecture enabling dynamic, on-demand AI service generation and deployment across distributed environments.

Abstract: The present invention provides a system for facilitating communication between AI agents by processing and interpreting real-time scene data in response to mission-related requests. The system includes sensory devices within an AI agent to collect environmental data and a large language model module to construct a mission-specific event dictionary. A perception engine processes the collected data, while a cognition engine extracts semantic information. A decision engine identifies mission-relevant events using the event dictionary. An integrated operating platform, comprising processors and memory, supports a multi-tiered communication framework: at the perception tier, encoded data is transmitted; at the cognition tier, selected scene descriptions are shared; and at the decision tier, mission-relevant event descriptors are communicated. This architecture ensures context-aware, tier-specific information exchange tailored to the recipient AI agent's mission needs.

Abstract: A method for synthesizing a supported molecular sieve membrane by microwaves includes the steps of aging, heating and synthesizing. The aging step is to make a support in contact with a synthetic liquid at 25° C. to 70° C. for 10 hours to 24 hours; the heating step is to raise a temperature of an aged system from an aging temperature to a synthesis temperature within 1 minute to 10 minutes; and the synthesizing step is to synthesize at 80° C. to 120° C. for 2 minutes to 15 minutes. The steps of heating and synthesizing are powered by microwaves.

Abstract: The present disclosure relates to systems and methods for a handover. The methods may include establishing a connection between a vehicle terminal and a first macro evolved Node B (MeNB) and a connection between the vehicle terminal and a secondary evolved Node B (SeNB), the vehicle terminal in a dual connectivity mode with the first MeNB and the SeNB; receiving, by the vehicle terminal, a handover command from the first MeNB; and disconnecting, based on the handover command, the vehicle terminal from the first MeNB and establishing synchronization between the vehicle terminal and a second MeNB, wherein the connection between the vehicle terminal and the SeNB is maintained. The SeNB is a secondary vehicle terminal meeting a preset condition or an SeNB installed at a fixed location.

Abstract: The present disclosure disclosed a method of determining a buffer status report (BSR). The method comprises obtaining, by a user equipment (UE) from a buffer, data item to be sent; determining, by the UE, a size of the data item to be sent; determining, by the UE, a minimum number of required logical channel groups (LCGs) based on the data item to be sent; and determining, by the UE, at least one BSR with flexible length based on the size of the data item to be sent and the minimum number of the required LCGs. Information of the at least one BSR with flexible length includes the minimum number of the required LCGs, LCG identifiers (LCG IDs) respectively associated with the minimum number of the required LCGs, and at least one buffer area corresponding to the LCG IDs.

Abstract: The present disclosure relates to systems and methods for a handover. The methods may include establishing a connection between a vehicle terminal and a first macro evolved Node B (MeNB) and a connection between the vehicle terminal and a secondary evolved Node B (SeNB), the vehicle terminal in a dual connectivity mode with the first MeNB and the SeNB; receiving, by the vehicle terminal, a handover command from the first MeNB; and disconnecting, based on the handover command, the vehicle terminal from the first MeNB and establishing synchronization between the vehicle terminal and a second MeNB, wherein the connection between the vehicle terminal and the SeNB is maintained. The SeNB is a secondary vehicle terminal meeting a preset condition or an SeNB installed at a fixed location.

Abstract: The present disclosure relates to systems and methods for a handover. The methods may include establishing a connection between a vehicle terminal and a first macro evolved Node B (MeNB) and a connection between the vehicle terminal and a secondary evolved Node B (SeNB), the vehicle terminal in a dual connectivity mode with the first MeNB and the SeNB; receiving, by the vehicle terminal, a handover command from the first MeNB; and disconnecting, based on the handover command, the vehicle terminal from the first MeNB and establishing synchronization between the vehicle terminal and a second MeNB, wherein the connection between the vehicle terminal and the SeNB is maintained. The SeNB is a secondary vehicle terminal meeting a preset condition or an SeNB installed at a fixed location.

Abstract: A method for synthesizing a supported molecular sieve membrane by microwaves includes the steps of aging, heating and synthesizing. The aging step is to make a support in contact with a synthetic liquid at 25° C. to 70° C. for 10 hours to 24 hours; the heating step is to raise a temperature of an aged system from an aging temperature to a synthesis temperature within 1 minute to 10 minutes; and the synthesizing step is to synthesize at 80° C. to 120° C. for 2 minutes to 15 minutes. The steps of heating and synthesizing are powered by microwaves.

Abstract: Provided is a multi-UAV continuous movement control method for energy efficient communication coverage. The method includes: determining observation information at a current moment, the observation information including one or more of the following: energy consumption information of a UAV, coverage indication information of users covered by a UAV network facilitated by the UAV or coverage fairness information of the UAV network; determining control information corresponding to the observation information using a DDPG model according to the observation information, wherein the DDPG model is generated from a DDPG algorithm with sample information as an input, the sample information indicating a mapping relationship between sampled observation information and sampled control information; and controlling the UAV to move according to the control information.

Abstract: Provided are a network selection method and an apparatus for integrated cellular and drone-cell networks, where the method includes: acquiring a dynamic network model and a dynamic user model, generating a random event vector according to the dynamic network model and the dynamic user model; generating an action vector according to the random event vector; obtaining an individual utility of each user according to the action vector and the random event vector; constructing a first selection model; obtaining the value of the action probability according the first selection model to determine networks that the users choose to access according to the value of the action probability.

Abstract: The present disclosure relates to systems and methods for a handover. The methods may include establishing a connection between a vehicle terminal and a first macro evolved Node B (MeNB) and a connection between the vehicle terminal and a secondary evolved Node B (SeNB), the vehicle terminal in a dual connectivity mode with the first MeNB and the SeNB; receiving, by the vehicle terminal, a handover command from the first MeNB; and disconnecting, based on the handover command, the vehicle terminal from the first MeNB and establishing synchronization between the vehicle terminal and a second MeNB, wherein the connection between the vehicle terminal and the SeNB is maintained. The SeNB is a secondary vehicle terminal meeting a preset condition or an SeNB installed at a fixed location.

Abstract: The present disclosure disclosed a method of determining a buffer status report (BSR). The method comprises obtaining, by a user equipment (UE) from a buffer, data item to be sent; determining, by the UE, a size of the data item to be sent; determining, by the UE, a minimum number of required logical channel groups (LCGs) based on the data item to be sent; and determining, by the UE, at least one BSR with flexible length based on the size of the data item to be sent and the minimum number of the required LCGs. Information of the at least one BSR with flexible length includes the minimum number of the required LCGs, LCG identifiers (LCG IDs) respectively associated with the minimum number of the required LCGs, and at least one buffer area corresponding to the LCG IDs.

Abstract: A joint search method for UAV multiobjective path planning in an urban low altitude environment first constructs a static safety index map based on static known obstacles. Meanwhile, based on proactively detected obstacles that are not marked on a geographic map by a UAV, the method constructs online a dynamic safety index map. Second, a multiobjective path planning problem is solved using a joint offline and online search method. Moreover, this method first plans offline the least cost path from a starting point to an end point and then invokes the online search scheme to replan online a changed path when the UAV detects unknown obstacles. Thus, the UAV can avoid dynamic obstacles effectively. The online search scheme has a small search space and can quickly replan a safe path for the UAV, thus satisfying the requirement of UAV on the real-time path planning.

Abstract: Provided are a network selection method and an apparatus for integrated cellular and drone-cell networks, where the method includes: acquiring a dynamic network model and a dynamic user model, generating a random event vector according to the dynamic network model and the dynamic user model; generating an action vector according to the random event vector; obtaining an individual utility of each user according to the action vector and the random event vector; constructing a first selection model; obtaining the value of the action probability according the first selection model to determine networks that the users choose to access according to the value of the action probability.

Abstract: Provided is a multi-UAV continuous movement control method for energy efficient communication coverage. The method includes: determining observation information at a current moment, the observation information including one or more of the following: energy consumption information of a UAV, coverage indication information of users covered by a UAV network facilitated by the UAV or coverage fairness information of the UAV network; determining control information corresponding to the observation information using a DDPG model according to the observation information, wherein the DDPG model is generated from a DDPG algorithm with sample information as an input, the sample information indicating a mapping relationship between sampled observation information and sampled control information; and controlling the UAV to move according to the control information.

Abstract: A joint search method for UAV multiobjective path planning in an urban low altitude environment first constructs a static safety index map based on static known obstacles. Meanwhile, based on proactively detected obstacles that are not marked on a geographic map by a UAV, the method constructs online a dynamic safety index map. Second, a multiobjective path planning problem is solved using a joint offline and online search method. Moreover, this method first plans offline the least cost path from a starting point to an end point and then invokes the online search scheme to replan online a changed path when the UAV detects unknown obstacles. Thus, the UAV can avoid dynamic obstacles effectively. The online search scheme has a small search space and can quickly replan a safe path for the UAV, thus satisfying the requirement of UAV on the real-time path planning.

Abstract: A method of operating a system to reduce peak power consumption of a plurality of users. The method may comprise forming at least one cluster of the plurality of users based on connections within a social network system between the plurality of users, and energy usage patterns of the plurality of users; and scheduling jobs for at least one user within the at least one cluster to reduce peak power used within the at least one cluster. A method of scheduling jobs that consume power for a cluster of users. The cluster may be formed in part based on connections within a social network system. Membership in a cluster may be further based on energy usage patterns. At least one computer-readable storage medium encoded with executable instructions that cause at least one processor to perform a method for forming a cluster and/or scheduling jobs for users within the cluster.