Future Wei Technologies, Inc.

Huawei Technologies Co., Limited

Ho-Ting Cheng

Hang Zhang

Gamini Senarath

Osama S Aboul-Magd

Vahid Tarokh

Sheng Sun

Ngoc-Dung Dao

Junghoon Suh

Peiying Zhu

Liqing Zhang

Xu Li

Kwok Shum Au

Aaron Callard

Alex Stephenne

Osama Aboul-magd

A method for dynamically determining power and scheduling assignments in a communications network includes selecting, by a controller, a mobile station in each cell to define a mobile station set, determining, by the controller, a power allocation for each of the mobile stations in the mobile station set, calculating, by the controller, a global utility function by evaluating a contribution from each of the mobile stations in the mobile station set in accordance with the power allocation, repeating, by the controller, the selecting, the determining, and the calculating steps a predetermined number of times to generate additional ones of the global utility function, and choosing, by the controller, the mobile station set corresponding to the global utility function having a particular value for a resource block of a frame. The method may also include repeatedly dividing a user set into clusters to obtain a best power allocation.

Method and system for dynamic, joint assignment of power and scheduling of users for wireless systems

An embodiment method for performing joint scheduling in a cluster of base stations (BSs) of a wireless network includes receiving coarse scheduling information pertaining to external BSs and performing joint scheduling for the instant cluster of BSs such that a sum utility is maximized. The sum utility includes an out-of-cluster utility component representing interference observed by the external BSs as a result of the joint scheduling. The out-of-cluster utility component is computed in accordance with the coarse scheduling information.

Method and system for uplink joint scheduling

System and method embodiments are provided for provisioning a quality of cellular user experience (QoE) or quality of service (QoS) specified device in a wireless local area network (LAN). The embodiments enable a QoE or QoS specified by a service agreement for a device to be maintained during periods when the device is transmitting data to and receiving data from the wireless LAN (e.g., a WiFi hotspot). In an embodiment, a method includes determining that at least one QoS-sensitive device is communicating with a wireless LAN access point (AP), reserving a contention free period (CFP) in a superframe for the at least one QoS-sensitive device to communicate with the AP, and allocating a contention period (CP) in the superframe for non-QoS-sensitive devices to communicate with the AP, wherein the non-QoS-sensitive devices are prohibited from transmitting during the CFP.

Systems and methods to provision quality of service sensitive devices in wireless local area networks

Methods and systems for facilitating uplink power control (PC) and scheduling in a wireless network are provided. In one example, common interference patterns are obtained from long term channel statistics, and used to perform local PC and scheduling by distributed base stations (eNBs). In some implementations, the common interference patterns are obtained through statistical narrowing techniques that identify common ones out of a plurality of potential interference patterns. The common interference patterns may specify maximum interference thresholds and/or individual eNB-to-eNB interference thresholds which may govern the local PC and scheduling decisions of the distributed eNBs.

Systems and methods for uplink power control and scheduling in a wireless network

Methods and systems for providing joint power control (PC) and scheduling in a wireless network are provided. In one example, a method includes generating a near-optimal power pattern for PC and scheduling in accordance with long term channel statistics. The near-optimal PC solution may be generated by first generating a set of possible power patterns in accordance with likely scheduling scenarios, then statistically narrowing the set of possible power patterns to identify the most commonly used power patterns, and finally selecting one of the most commonly used power patterns as the near-optimal power pattern. In another example, a table of optimal PC solutions are provided for performing distributed PC and scheduling in an adaptive and/or dynamic manner.

Systems and methods for downlink power control and scheduling in a wireless network

System and method embodiments are included to provide various degrees of time allocation fairness to users using varying target transmission opportunity (TXOP) values. In one embodiment, a method for promoting various degrees of fairness for users in a wireless network includes assigning a target TXOP value for one or more users in the wireless network, wherein the target TXOP value indicates a number of time units for transmissions to be met on average over time by the one or more users, and transmitting the target TXOP value to the one or more users. In another embodiment, a method includes receiving a TXOP value from the wireless network, wherein the target TXOP value indicates a number of time units allocated for transmissions, and transmitting traffic over a plurality of time periods that have an average duration about equal to the number of time units.

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Stittsville, Canada

Ho-Ting Cheng