Abstract:
In a cellular wireless communication system, peer-to-peer (P2P) links between mobile devices are implemented, and controlled using an aggregate utility metric for a group of P2P and cellular links. A mobile node participating in a P2P link, or an eNB, may periodically broadcast an activity level indicator indicating a resource-dependent activity level of the link. The node may control the activity level in response to utility metrics received from members of neighboring P2P links to maximize an aggregate utility of the link and the neighboring P2P links sharing at least a subset of resources of a common frequency spectrum. Formation or termination of P2P links may be controlled in response to comparing a calculated achievable utility value to a current utility value of a link, and taking action calculated to maximize the aggregate utility value.
Abstract:
Methods and apparatuses are provided that facilitate associating with relays in a wireless network. A device can select whether to utilize relay assistance where present based at least in part on measuring one or more determined or projected parameters related to the relay. Where utilizing a relay results in user-plane data channel conditions above a threshold level and control channel conditions below a threshold level, a serving base station can determine whether to employ another base station to serve the device, jointly serve a relay with an additional base station, and/or the like.
Abstract:
Techniques for supporting communication in a wireless network are described. In an aspect, association and resource partitioning may be performed jointly to select serving base stations for user equipments (UEs) and to allocate available resources to base stations. In another aspect, adaptive association may be performed to select serving base stations for UEs. In one design, a base station computes local metrics for different possible actions related to association and resource partitioning (or only association). The base station receives local metrics for the possible actions from at least one neighbor base station and determines overall metrics for the possible actions based on the computed and received local metrics. The base station determines serving base stations for a set of UEs and resources allocated to the set of base stations (or just serving base stations for the set of UEs) based on the overall metrics for the possible actions.
Abstract:
Techniques for performing adaptive resource partitioning are described. In one design, a node computes local metrics for different possible actions related to resource partitioning to allocate available resources to a set of nodes that includes the node. Each possible action is associated with a set of resource usage profiles for the set of nodes. The node sends the computed local metrics to at least one neighbor node in the set of nodes. The node also receives local metrics for the possible actions from the neighbor node(s). The node determines overall metrics for the possible actions based on the computed local metrics and the received local metrics. The node then determines allocation of the available resources to the set of nodes based on the overall metrics. For example, the node may select the action with the best overall metric and may utilize the available resources based on a resource usage profile for the selected action.