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.
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.
Abstract:
Techniques for transmitting pilot and traffic data are described. In one aspect, a terminal may scramble its pilot with a scrambling sequence generated based on a set of static and dynamic parameters. The static parameter(s) have fixed value for an entire communication session for the terminal. The dynamic parameter(s) have variable value during the communication session. The terminal may generate a scrambling sequence by hashing the set of parameters to obtain a seed and initializing a pseudo-random number (PN) generator with the seed. The terminal may then generate the pilot based on the scrambling sequence. In another aspect, the terminal may use different scrambling sequences for pilot and traffic data. A first scrambling sequence may be generated based on a first set of parameters and used to generate the pilot. A second scrambling sequence may be generated based on a second set of parameters and used to scramble traffic data.
Abstract:
Techniques for transmitting pilot and traffic data are described. In one aspect, a terminal may scramble its pilot with a scrambling sequence generated based on a set of static and dynamic parameters. The static parameter(s) have fixed value for an entire communication session for the terminal The dynamic parameter(s) have variable value during the communication session. The terminal may generate a scrambling sequence by hashing the set of parameters to obtain a seed and initializing a pseudo-random number (PN) generator with the seed. The terminal may then generate the pilot based on the scrambling sequence. In another aspect, the terminal may use different scrambling sequences for pilot and traffic data. A first scrambling sequence may be generated based on a first set of parameters and used to generate the pilot. A second scrambling sequence may be generated based on a second set of parameters and used to scramble traffic data.
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 transmitting data with short-term interference mitigation in a wireless communication system are described. In one design, a serving base station may send a message to a terminal to trigger short-term interference mitigation. In response, the terminal may send a message to request at least one interfering base station to reduce interference on at least one resource. Each interfering base station may determine a transmit power level to be used for the at least one resource and may send a pilot at this transmit power level. The terminal may estimate the channel quality of the at least one resource based on at least one pilot received from the at least one interfering base station. The terminal may send information indicative of the estimated channel quality to the serving base station. The serving base station may send a data transmission on the at least one resource to the terminal.
Abstract:
Techniques for performing power control and handoff are described. In an aspect, power control (PC) is supported with multiple PC modes such as an up-down PC mode and an erasure-based PC mode. One PC mode may be selected for use. Signaling may be sent to indicate the selected PC mode. If the up-down PC mode is selected, then a base station estimates the received signal quality for a terminal and sends PC commands to direct the terminal to adjust its transmit power. If the erasure-based PC mode is selected, then the base station sends erasure indications that indicate whether codewords received from the terminal are erased or non-erased. For both PC modes, the terminal adjusts its transmit power based on the power control feedback (e.g., PC commands and/or erasure indications) to achieve a target level of performance (e.g., a target erasure rate for the codewords). The erasure indications may also be used for handoff.
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 performing power control and handoff are described. In an aspect, power control (PC) is supported with multiple PC modes such as an up-down PC mode and an erasure-based PC mode. One PC mode may be selected for use. Signaling may be sent to indicate the selected PC mode. If the up-down PC mode is selected, then a base station estimates the received signal quality for a terminal and sends PC commands to direct the terminal to adjust its transmit power. If the erasure-based PC mode is selected, then the base station sends erasure indications that indicate whether codewords received from the terminal are erased or non-erased. For both PC modes, the terminal adjusts its transmit power based on the power control feedback (e.g., PC commands and/or erasure indications) to achieve a target level of performance (e.g., a target erasure rate for the codewords). The erasure indications may also be used for handoff.