Abstract: A system and method is provided for a predictive connectivity layer. In the disclosed embodiments, resources, such as bandwidth, processing, and memory, at a network node are dynamically allocated based on one or more predicted user behaviors. A predicted user behavior may be determined based on one or more previous actions of a user or a group of users at the network node. For example, if a user accesses the network node to download a particular web site at the same time every morning, the predictive technique may determine that the user will attempt to download the same web site the next morning, and therefore cache a copy of the web site before the user's next attempt to access the network through the network node, Similarly, the network node may predict an amount of bandwidth or other resources to allocate based on previous behavior of one or more users.

Abstract: A system and method is provided for a predictive connectivity layer. In the disclosed embodiments, resources, such as bandwidth, processing, and memory, at a network node are dynamically allocated based on one or more predicted user behaviors. A predicted user behavior may be determined based on one or more previous actions of a user or a group of users at the network node. For example, if a user accesses the network node to download a particular web site at the same time every morning, the predictive technique may determine that the user will attempt to download the same web site the next morning, and therefore cache a copy of the web site before the user's next attempt to access the network through the network node. Similarly, the network node may predict an amount of bandwidth or other resources to allocate based on previous behavior of one or more users.

Abstract: A system and method is provided for a predictive connectivity layer. In the disclosed embodiments, resources, such as bandwidth, processing, and memory, at a network node are dynamically allocated based on one or more predicted user behaviors. A predicted user behavior may be determined based on one or more previous actions of a user or a group of users at the network node. For example, if a user accesses the network node to download a particular web site at the same time every morning, the predictive technique may determine that the user will attempt to download the same web site the next morning, and therefore cache a copy of the web site before the user's next attempt to access the network through the network node. Similarly, the network node may predict an amount of bandwidth or other resources to allocate based on previous behavior of one or more users.

Abstract: Systems and methods for providing in-building wireless communications are provided. A master base transceiver station can include a standards-compliant powerline modem coupled to one or more slave base transceiver stations and/or antenna modules. A bridge can be provided that includes a standards-compliant powerline modem coupled to one or more base transceiver stations. The standards-compliant powerline modems communicate standards-compliant digital signals over powerlines. The master base transceiver station or bridge is coupled to a mobile switching center/base station controller via a network.