Abstract: Techniques are provided for association decisions by a user equipment (UE) or the like. In one example, there is provided a method that may involve discovering a peer UE, and determining a first metric for the peer UE. The method may further involve determining a second metric for a base station in a wireless area network (WAN). The method may further involve deciding whether to associate with the peer UE for peer-to-peer (P2P) communication or with the WAN for communication via the base station based on the first and second metrics. For example, the first metric may be determined based on received power of the peer UE at the first UE, and the second metric may be determined based on received power of the base station at the first UE.

Abstract: Techniques for supporting peer-to-peer (P2P) communication in a wide area network (WAN) are disclosed. In an aspect, interference coordination between P2P devices engaged in P2P communication and WAN devices engaged in WAN communication may be performed based on a network-controlled architecture. For the network-controlled architecture, P2P devices may detect other P2P devices and/or WAN devices and may send measurements (e.g., for pathloss, interference, etc.) for the detected devices to the WAN (e.g., serving base stations). The WAN may perform resource partitioning and/or association for the P2P devices based on the measurements. Association may include selection of P2P communication or WAN communication for a given P2P device. Resource partitioning may include allocation of resources to a group of P2P devices for P2P communication.

Abstract: Methods and apparatus for supporting adaptive resource negotiation between evolved node Bs (eNBs) for enhanced inter-cell interference coordination (eICIC) are provided. This resource negotiation may occur via a network backhaul between the eNBs or, in some cases, using over-the-air messages (OAMs). For certain aspects, a first eNB may propose its adaptive resource partitioning information (ARPI) to a second eNB, where the second eNB may accept or reject the proposed resource partitioning. If the second eNB accepts the proposed partitioning, the second eNB may schedule resources, such as subframes, based on the accepted partitioning.

Abstract: Techniques for performing interference management to support peer-to-peer (P2P) communication in a wide area network (WAN) are described. In an aspect, interference management may be performed in a coordinated manner for/by a set of server nodes, which may include a P2P server and at least one neighbor server node of the P2P server. The P2P server may be a UE communicating peer-to-peer with at least one other UE or P2P client. Interference management may be performed for the set of server nodes to reduce interference to the P2P server and/or the at least one P2P client. In one design, active sets may be determined for UEs. The active set of each UE may include nodes received with sufficient strength by that UE. The set of server nodes may be determined based on the active sets of the P2P server, the at least one P2P client, and possibly other UEs.

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 cross-subframe and cross-carrier scheduling of uplink and downlink transmissions in a multi-carrier wireless communication system are disclosed. A base station can include cross-subframe, carrier indication (xSF/CIF) information in a PDCCH message to signal to a user equipment (UE) which subframes and/or component carriers pertain to control information carried therein. The UE may utilize the xSF/CIF information to determine to which subframes and/or component carriers the control information is to be applied.

Abstract: Techniques for performing association with leakage-based metrics in a wireless network are described. Association may be performed to select a serving node (e.g., a base station or a relay) for a station (e.g., a UE or a relay). In one design, at least one metric may be determined for at least one candidate node for possible association by the station. A metric for each candidate node may be determined based on leakage of the candidate node. The leakage of the candidate node may include interference due to the candidate node at stations not served by the candidate node (excluding the station). The metric for each candidate node may include a signal-to-leakage ratio (SLR), a geometry-to-leakage ratio (GLR), or a throughput-to-leakage ratio (TLR). A serving node for the station may be selected from among the at least one candidate node based on the at least one metric.

Abstract: Techniques for performing association and resource partitioning in a wireless network with relays are described. In an aspect, resource partitioning may be performed to allocate available resources to nodes and access/backhaul links of relays. In one design, a node computes local metrics for a plurality of possible actions related to resource partitioning. The node receives local metrics for the possible actions from at least one neighbor node and determines overall metrics for the possible actions based on the computed and received local metrics. The node determines resources allocated to a set of nodes and resources allocated to the access and backhaul links of at least one relay based on the overall metrics for the possible actions. In another aspect, association involving relays may be performed by taking into account the performance of the relays. In yet another aspect, association and resource partitioning may be performed jointly.

Abstract: Techniques for performing resource partitioning are described. In an aspect, adaptive resource partitioning may be performed to dynamically allocate available resources for the uplink to nodes, e.g., base stations. Each node may be assigned a list of target interference-over-thermal (IoT) levels for the available resources by the adaptive resource partitioning. Each node may obtain a list of target IoT levels for itself and at least one list of target IoT levels for at least one neighbor node. The list of target IoT levels for each node may include a configurable target IoT level on each available resource for the node. Each node may schedule its UEs for transmission on the available resources (e.g., may determine transmit power levels and rates for the UEs) based on the target IoT levels for itself and the neighbor node(s) such that the target IoT levels for the neighbor node(s) can be met.

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.