Corning Research & Development Corporation

Airhop Communications, Inc.

Telefonaktiebolaget Lm Ericsson (publ)

Hsien Li Woo

Shirish Nagaraj

Deepak Pengoria

Jiadong Wang

Wanshi Chen

Srinivasan Balasubramanian

Anthony C K Soong

Young Cheul Yoon

Thawatt Gopal

Yan Hui

Shiau-He Tsai

Andrey Kobyakov

Long Duan

Benjamin Imanilov

Gavriel Mizrahi

Hanson On

Ramakrishna Akella

Zaijin Guan

Douglas McPherson

Evgenii Pustovalov

Viacheslav Viacheslavovich Ivanov

Felicia Tsui

Viswanath Nagarajan

Lior Michael Kruh

Dynamic radio frequency (RF) beam pattern adaptation in a wireless communications system (WCS) is provided. The WCS typically includes a number of wireless devices, such as remote units and/or base stations, for enabling indoor wireless communications to user devices. The wireless devices are typically mounted on a fixed structure. Notably, a wireless device may be preconfigured to support RF beamforming based on an RF beam pattern that corresponds to a configured orientation. However, the wireless device can be installed with a different orientation from the configured orientation, thus requiring the RF beam pattern to be adapted accordingly. In this regard, a wireless device is configured to dynamically determine an actual orientation of the wireless device and automatically adapt the RF beam pattern based on the determined actual orientation. As a result, it is possible to reduce installation and calibration time associated with deployment of the wireless device in the WCS.

Dynamic radio frequency (RF) beam pattern adaptation in a wireless communications system (WCS)

Intelligent thermal and power management in a wireless communications device in a wireless communications system (WCS) is disclosed. In a non-limiting example, the wireless communications device can be a base station (e.g., eNB) in the WCS. The wireless communications device includes a number of sensor circuits each configured to perform a sensory measurement (e.g., temperature measurement) in a specific circuit or at a specific location of the wireless communications device. A control circuit is provided in the wireless communications device support intelligent thermal and power management in the wireless communications device. Specifically, the control circuit determines that the sensory measurement is above an abnormal threshold(s) and performs one or more corrective actions accordingly to reduce the sensory measurement to a desirable threshold. By employing intelligent thermal and power management in the wireless communications device, it is possible to improve performance and reduce size of the wireless communications device.

Intelligent thermal and power management in a wireless communications device in a wireless communications system (WCS)

Multi-beam uniform coverage in a coverage cell(s) in a wireless communications system (WCS) is provided. The WCS includes a number of wireless devices that are typically mounted on a fixed structure to provide coverage for user devices. Each wireless device includes one or more antenna arrays. Each antenna array is controlled via a set of codewords to form one or more RF beams to each cover a respective area in a coverage cell. The codewords are predetermined based on fairness and/or leakage constraints such that the RF beams can be formed in desired geometric shapes and steered toward desired directions to provide a uniform coverage in the coverage cell. By forming the RF beams based on the codewords predetermined based on fairness and/or leakage constraints, it is possible to ensure an equal RF power signal level inside the coverage cell and/or reduced power leakage outside the coverage cell.

Multi-beam uniform coverage in a coverage cell(s) in a wireless communications system (WCS)

Multi-level beam scheduling in a wireless communications circuit, particularly for a wireless communications system (WCS), is disclosed. The WCS includes a central unit(s) and a wireless communications circuit(s) configured to reduce beamforming overhead and improve radio frequency (RF) coverage in a wireless communications cell(s) based on a multi-level beam scheduling scheme. In a non-limiting example, the multi-level beam scheduling scheme includes a first level (L1) scheduler, a second level (L2) scheduler, and a third level (L3) scheduler configured to perform cross-cell beam scheduling, in-cell beam scheduling, and in-beam user equipment (UE) scheduling, respectively. By employing the multi-level beam scheduling scheme in the WCS, it may be possible to reduce processing overhead and improve resource usage, data throughput, and system adaptability of the wireless communications circuit(s), thus helping to optimize capacity and throughput in the wireless communications cell(s).

Multi-level beam scheduling in a wireless communications circuit, particularly for a wireless communications system (WCS)

Grid of beams (GoB) adaptation in a wireless communications circuit, particularly for a wireless communications system (WCS), is disclosed. The wireless communications circuit may be provided in the WCS to provide radio frequency (RF) coverage in a wireless communications cell. In this regard, an antenna array is provided in the wireless communications circuit to radiate the GoB, which includes a number of RF beams corresponding to an RF communications signal(s), in the wireless communications cell. In examples discussed herein, the wireless communications circuit can be configured to detect a coverage condition change in the wireless communications cell and modify the GoB accordingly. By adapting the GoB to the coverage condition change, it may be possible to reduce processing overhead and improve resource usage, data throughput, and system adaptability of the wireless communications circuit, thus helping to optimize RF coverage in the wireless communications cell.

Grid of beams (GOB) adaptation in a wireless communications circuit, particularly for a wireless communications system (WCS)

Grid of beams (GoB) adaptation in a wireless communications circuit, particularly for a wireless communications system (WCS)

Multi-cell interference management (MCIM) for interference management among multiple cells in a wireless communication network is provided. In some embodiments, MCIM includes collecting data (e.g., CQI measurements and/or subband usage statistics) from a neighborhood of base stations; determining local and neighborhood system utility metrics; and determining interference managing directives (e.g., that can be communicated to the MAC layer of a base station in the neighborhood of base stations).

Multi-cell interference management

LTE and HSPA/UMTS deployments are trending towards high density, heterogeneous and ad-hoc deployments. These deployments can be managed through Self-Organizing Network (SON) schemas. Enabling SON generally involves the introduction of new software and/or hardware entities into the network that can interact with existing base station and network entities (e.g., Enhanced Packet Core, Element Management System, and/or other network entities). In one embodiment, these interactions include the development and deployment of interfaces (e.g., APIs) and protocols between the SON entities and various network entities. For example, data collected on either side of an interface or protocol can be post-processed before consumption (e.g., for both data integrity purposes as well as bandwidth reduction purposes). As described herein, a full set of such interfaces and protocols with specific examples are disclosed to illustrate various techniques for providing protocols, interfaces, and pre/post-processing for enabling SON entities and features in base stations and wireless networks.

Protocols, interfaces, and pre/post-processing for enabling son entities and features in base stations and wireless networks

A CDMA network dynamically generates hard handoff (HHO) target sets to support mobile station HHO. Dynamically identifying CDMA channels or cells as targets for HHO eliminates the need for statically configured HHO target sets. In an exemplary embodiment, a source BSS identifies a first set of channels corresponding to common neighbor cells of the cells associated with the active set pilots and/or reported PBU pilots. This first set may be adjusted by removing any common neighbor cells that include soft handoff target channels, and by adding selected vertical neighbor channels of the active set pilots and/or reported PBU pilots. Channels in the first set may be grouped by carrier frequency and evaluated based on CDMA channel type, BSS affiliation and characteristics, and the target's relationship to the active set to identify a preferred HHO target set. Such operations permit dynamic determination of whether to perform inter- or intra-BSS HHO.

Hard handoff target generation in a multi-frequency CDMA mobile network

Noise is measured at one or more base stations in a mobile communication system during periodic silence periods. A periodic silence period is defined for at least one carrier that is independent of reverse link channel frame boundaries. The radio base stations transmits silence parameters defining the periodic silence period to mobile stations, which stop transmitting during the periodic silence periods. A time reference is provided to the mobile stations to synchronize the silence periods for all mobile stations.

Enhancements to periodic silences in wireless communication systems

Growing community of inventors

San Diego, CA, United States of America

Hsien Li Woo