At&t Mobility II LLC

At&t Intellectual Property I, LP

Fereidoun Tafreshi

Ernest Tsui

Hyun Ok Lee

Vibhav Arun Kapnadak

Xiaojun Tang

Gustavo Enrique Ulffe Whu

Arthur Richard Brisebois

Thomas W Henderson

Cluster-based optimization of antenna tilts in a wireless network and other related aspects are presented herein. A screening component can receive information indicating wireless conditions of respective wireless access points of a geographical region, select, based on a performance criterion, an access point of the respective wireless access points, and group the access point and an other access point of the respective wireless access points into a representation of a cluster of access points. Further, an optimization component can derive antenna tilt values for respective access points of the cluster of the access points in response to a simulation of an application of the antenna tilt values to the respective access points. Furthermore, an implementation component can direct the antenna tilt values to respective components of the respective access points.

Cluster-based derivation of antenna tilts in a wireless network

Adjusting RAN performance by adapting cell coverage area can help optimize a wireless communications network. RAN topology can be adapted based on analysis of real-time load conditions of RAN base stations. Analysis of the load conditions of RAN base stations can be performed in a core-network of a wireless carrier rather than distributing the analysis to RAN-side elements. Analysis can be based on receiving real-time load information relating to key performance indicators such as X2 load, S1 load, instant outbound handover count, instant inbound handover count, etc. Further, analysis can include the application of predetermined rules relating to preferential performance of the base stations. This can facilitate ranking neighboring base stations, adding new base stations, deleting base stations, black/white listing base stations, etc., in neighbor relations data structures, such as automatic neighbor relations structures for self-organizing networks, e.g., eNodeBs in LTE networks.

Real-time load analysis for modification of neighbor relations

In order to provide load balancing in a wireless network that includes a cell with two or more carriers, sequential service requests for radio resources are allocated to respective ones of the two or more carriers in a staggered manner (i.e., a round robin, or least recently used (LRU) approach). In an embodiment, the sequential requests are directed so as to allocate channelization codes of respective code trees associated with the two or more carriers substantially equally. The signal strength of a carrier may be checked prior to allocation. Trigger conditions may be checked prior to allocating a request to a carrier using the LRU approach. The trigger conditions may include power utilization of a first carrier compared to a second carrier, channelization code tree offset between two or more code trees respectively associated with the two or more carriers, and/or average bit rate per subscriber load of the carriers.

Staggered channelization code allocation for multi-carrier networks

Systems, methods, and apparatus for cluster-based optimization of antenna tilts in a wireless network are presented herein. A screening component can receive information indicating wireless conditions of respective wireless access points of a geographical region, select, based on a performance criterion, an access point of the respective wireless access points, and group the access point and an other access point of the respective wireless access points into a representation of a cluster of access points. Further, an optimization component can derive antenna tilt values for respective access points of the cluster of the access points in response to a simulation of an application of the antenna tilt values to the respective access points. Furthermore, an implementation component can direct the antenna tilt values to respective components of the respective access points.

System(s), method(s), and device(s) that enable release of backhaul capacity associated with base stations are presented. During soft handover, a communication device can have its connection maintained with more than one base station. A link controller component can identify a radio link having the highest quality and can determine the relative backhaul load of each base station communicating with the communication device. The link controller component determines whether the base station having the highest radio link quality is experiencing the heaviest backhaul load relative to the other base stations. If the base station with the highest link quality does not also have the heaviest backhaul load, the link controller component identifies the base station having the heaviest backhaul load and the identified base station can have its status modified with respect to the communication device for a desired period of time, in accordance with predefined status modification criteria.

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Bellevue, WA, United States of America

Fereidoun Tafreshi