Qualcomm Incorporated

Husheng Li

Ashwin Sampath

Gavin Bernard Horn

David Jonathan Julian

Rajat Prakash

Rajarshi Gupta

Nikhil Jain

Anastasios Stamoulis

Junyi Li

Rajiv Laroia

Ravi Palanki

Thomas J Richardson

Tom Richardson

Alexander Leonidov

Alex Leonidov

Tones within a channel can be selected randomly and/or based on orthogonal tone selection. Random selection can include selecting tones randomly from a fixed set, which is referred to as channelized tone selection. Channelized tone selection can be chosen if a critical tone exists. Random selection can also include selecting resources randomly from the total number of resources available, which is referred to as non-channelized tone selection. Orthogonal tone selection can be chosen to mitigate the probability of receiver desensitization and/or to attempt to mitigate interference.

Tone selection in communication networks

Systems and methods are described that facilitate evaluating conditions of nodes (e.g., access points, access terminals, etc.) in a wireless communication environment to determine a level of disadvantage for a given node relative to other nodes. A first node may receive a resource utilization message (RxRUM) and may determine a level of disadvantage for a node that sent the RxRUM. The first node may then compare its own level of disadvantage to the sending node in order to permit a determination of an appropriate course of action in response to the RxRUM.

Interference management using resource utilization masks sent at constant PSD

Systems and methodologies are described that facilitate transmitting beacon symbols of a beacon message such that a sequence of symbols can satisfy a linear constraint over a field where the field elements can be identified with carriers. In this regard, a coding scheme can be applied to a beacon message; the coding scheme can produce a plurality of beacon symbols to transmit on given subcarriers. A receiving device of the beacon symbols can decode a beacon message by receiving less than the total number of symbols in a beacon message and determining the remaining symbol subcarriers based on the linear constraint. Thus, more efficient decoding of beacons is facilitated as well as resolving beacon ambiguity by figuring out which symbols satisfy linear constraints for the symbols, and resolving time and frequency shift by detecting an offset that would result in satisfaction of the linear constraint.

Beacon coding in wireless communications systems

Aspects describe conveying unicast information and broadcast information in a resource set for a transmission request. The unicast information and broadcast information can be transmitted at substantially the same time. Power control can be applied separately to the unicast information and the broadcast information for reliable decoding. A null request can be indicated by '00' bits in a unicast portion and a zero power level in the broadcast portion.

Signaling separate unicast and broadcast information with a common pilot

Embodiments describe flow based fair scheduling in a wireless multi-hop network. The scheduling can be rate controlled multi-hop scheduling or power controlled multi-hop scheduling. The scheduling chosen is intended to provide maxmin fairness over all flows within the wireless network.

Flow based fair scheduling in multi-hop wireless networks

Systems and methodologies are described that facilitate detecting impulsive interference of pilot signals in wireless communications networks and accounting for such interference in estimating data channels to decode the pilot signals. Portions of a received pilot signal can be compared to other portions to create correlated subsets of similar portions. The number of portions in a subset can indicate a high likelihood of non-interference, and portions that are not in the subsets can be disregarded or weighted less in estimating channels for decoding. In cases of ambiguous subsets or portions, one or more subsets/portions can each be used to estimate the channel and data can be decoded multiple times. The decoding that results in a higher decoding metric can be selected. Additionally, systems and methodologies for inserting pilot signals within data are described.

Channel estimation in wireless systems with impulsive interference

Systems and methods are disclosed that facilitate wireless communication using resource utilization messages (RUMs), in accordance with various aspects. A RUM may be generated for a first node, such as an access point or an access terminal, to indicate that a first predetermined threshold has been met or exceeded. The RUM may be weighted to indicate a degree to which a second predetermined threshold has been exceeded. The first and/or second predetermined thresholds may be associated with various parameters associated with the node, such as latency, throughput, data rate, spectral efficiency, carrier-to-interference ratio, interference-over-thermal level, etc. The RUM may then be transmitted to one or more other nodes to indicate a level of disadvantage experienced by the first node.

Flexible medium access control (MAC) for ad hoc deployed wireless networks

Devices and methods are provided for adapting to interference in a spectrum shared by a WAN macro cell and a femto cell. In particular, described herein are techniques for adapting to the presence of a jamming WAN access terminal (AT) by avoiding or selectively utilizing those bandwidth portions jammed by the WAN AT/AP. For example, the technique may involve intercepting a control message from the WAN AP to the WAN AT, and determining a spectrum resource that the WAN AT will use to communicate with the WAN AP based at least in part on information (e.g., a Cell Radio Network Temporary Identifier, a Media Access Control Identifier, etc.) in the control message.

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Knoxville, TN, United States of America

Husheng Li