Abstract:
Learning-based service migration in mobile edge computing may be provided. First, a service migration policy may be created for a network that includes a plurality of edge clouds configured to provide a service to users. Next, a movement of a user receiving the service from a source edge cloud may be detected. The source edge cloud may be associated with a first area and the detected movement may be from the first area to a second area. Then, the service migration policy may be applied to determine whether to migrate the service for the user from the source edge cloud. In response to determining to migrate the service, a target edge cloud may be identified and the service for the user may be migrated from the source edge cloud to the target edge cloud. The service migration policy may then be updated based on a success of the migration.
Abstract:
A wireless communication device is built from a base module and a plurality of front-end modules. Each of the plurality of front-end modules is configured to operate a different one of a plurality of radio frequency services and having a front-end module connector configured to removeably mate with a base module connector of the base module. A particular front-end module is connected to the base module. Upon connection of the particular front-end module to the base module connector, the base module reads information from a memory of the particular front-end module to determine the radio service that the particular front-end module is configured to operate and to supply the control signals to configure and control front-end circuitry of the front-end module to operate the radio service.
Abstract:
A wireless communication device is built from a base module and a plurality of front-end modules. Each of the plurality of front-end modules is configured to operate a different one of a plurality of radio frequency services and having a front-end module connector configured to removeably mate with a base module connector of the base module. A particular front-end module is connected to the base module. Upon connection of said particular front-end module to the base module connector, the base module reads information from a memory of said particular front-end module to determine the radio service that the particular front-end module is configured to operate and to supply the control signals to configure and control front-end circuitry of the front-end module to operate the radio service.
Abstract:
In one embodiment, a system includes a processor to determine a number P of how many multi-user groups are to be formed to promote airtime fairness for N client devices in which each one client device of the N client devices will be equally represented in the to-be-formed multi-user groups and in which each of the to-be-formed groups is to be actively considered by a scheduler for transmission purposes, the N client devices being associated with N wireless connections with an access point having multi-user simultaneous communication multiple-input multiple-output technology, define P multi-user groups with each one multi-user group of the P multi-user groups having a capacity for M client devices from the N client devices, N being greater than M, and allocate the N client devices to the P multi-user groups with each one client devices of the N client devices being equally represented in the P multi-user groups.
Abstract:
A mobile device transmits data over a shared spectrum in an uplink channel to a base station in a contention-based access scheme. The mobile device obtains data to be wirelessly transmitted over the shared spectrum in the uplink channel to the base station. The uplink channel is formatted with a frame/subframe structure with a predetermined timing. The mobile device determines whether the shared spectrum is free for transmission according to a listen before transmit procedure. When the shared spectrum is free for transmission, the mobile device contends with other mobile device to gain access to the uplink channel. After gaining access to the uplink channel, the mobile device transmits the data over the shared spectrum in the uplink channel to the base station.
Abstract:
An example method is provided in one example embodiment and includes receiving performance metric information from a plurality of small cell radios, wherein the performance metric information includes, at least in part, a number of user equipment that are to be scheduled on a first type and a second type of subframes for each small cell radio; determining resource allocation parameters for the plurality of small cell radios; exchanging interference information between two or more small cell radios of the plurality of small cell radios that includes an indication of whether a particular small cell radio is interfering with or is interfered by another small cell radio of the two or more small cell radios; and scheduling downlink resource transmissions on the first type and the second type of subframes for user equipment served by the two or more small cell radios.
Abstract:
A method is provided in one example embodiment and may include calculating, by one or more of a plurality of small cell radios, one or more sets of candidate power control parameters using a first interference constraint for uplink user equipment (UE) transmissions for UE served by the one or more of the plurality of small cell radios; determining, at a central management entity, whether an average of a sum of an expected interference for UE associated with the plurality of small cell radios violates a second interference constraint for any of the one or more sets of candidate power control parameters; and generating one or more messages for each of the plurality of small cell radios identifying one or more particular sets of power control parameters that provide for meeting the second interference constraint.
Abstract:
Pattern recognition and classification of packet error characteristics for Multi-user Multiple Input Multiple Output (MU-MIMO) optimization may be provided. First, a packet error characteristic data of a channel for a Downlink (DL) Multi-user (MU) group may be received. Next, the received packet error characteristic data may be provided as input data to a classifier model. Then, in response to providing the received packet error characteristic data as the input data to the classifier model, output data may be received from the classifier model. The output data may indicate at least one probability value corresponding to at least one channel effect. An optimization for improving performance of DL MU-MIMO in the presence of the at least one channel effect may then be performed when the at least one probability value is above or below a predetermined level.
Abstract:
Learning-based service migration in mobile edge computing may be provided. First, a service migration policy may be created for a network that includes a plurality of edge clouds configured to provide a service to users. Next, a movement of a user receiving the service from a source edge cloud may be detected. The source edge cloud may be associated with a first area and the detected movement may be from the first area to a second area. Then, the service migration policy may be applied to determine whether to migrate the service for the user from the source edge cloud. In response to determining to migrate the service, a target edge cloud may be identified and the service for the user may be migrated from the source edge cloud to the target edge cloud. The service migration policy may then be updated based on a success of the migration.
Abstract:
Systems, methods, and computer-readable media for an integrated Wi-Fi Access Point and cellular network Radio Unit (RU) include a communication system interfacing with a wired network for communicating Wi-Fi traffic and cellular network traffic, the communication system integrating a Wi-Fi Access Point (AP) with a cellular network Radio Unit (RU). The Wi-Fi traffic and cellular network traffic can be processed in the communication system. The communication system can interface with at least one programmable Radio Frequency (RF) front end configured for wireless communication over one or more frequency bands for Wi-Fi traffic and one or more frequency bands for cellular network traffic (e.g., 5G, LTE, Wi-Fi).