Blackberry Corporation

Broadcom Corporation

Research in Motion Corporation

Avago Technologies General IP (singapore) Pte. Ltd.

Avago Technologies International Sales Pte. Limited

Other

Broadcom Corpotation

Malikie Innovations Limited

Amin Mobasher

Louay A Jalloul

Sam Padinjaremannil Alex

Alireza Bayesteh

Yongkang Jia

Chandra Sekhar Bontu

Hua Xu

Shiwei Gao

Nihar Jindal

Murat Mese

James Earl Womack

Arogyaswami J Paulraj

Shirook M Ali

Zhijun Cai

Yan E Wang

Sirikiat Lek Ariyavisitakul

James Paul Warden

Sagar Dhakal

Steve Hranilovic

James D Bennett

Youn Hyoung Heo

Yi Yu

Andrew Mark Earnshaw

Djordje Tujkovic

Michael Eoin Buckley

Masoud Ebrahimi Tazeh Mahalleh

Jack Anthony Smith

Shiguang Guo

Houssam Kanj

Thomas Aloysius Sexton

Lek (Sirikiat) Ariyavisitakul

Zhijun Sam Cai

Thomas Sexton

A multiple input multiple output (MIMO) antenna system is implemented for communications in a wireless device. Information regarding the environment surrounding the wireless device may be used to determine which of the MIMO antennas are selected such that communications performance is improved. Metrics related to signal transmission and reception by the wireless device may be monitored and used to determine which MIMO antennas are selected. The metrics may be measured by any of the MIMO antennas at any time, including antennas currently engaged or not engaged in active communications. The metrics may be used in lieu of sensors to supplement or replace wireless device functionality otherwise provided by the sensors.

Methods of antenna system control in massive MIMO systems

Antenna systems and methods for Massive Multi-Input-Multi-Output (MIMO) (M-MIMO) communication are provided. Antennas systems include a M-MIMO transmitter architecture with a hybrid matrix structure. The hybrid matrix structure protects against transmit path component failures and ensures that a spatial rate of the M-MIMO transmitter is not degraded by the failures. Antenna systems and methods also include antenna selection schemes for selecting a subset of antennas from a plurality of antennas to transmit to a receiver.

Antenna systems and methods for massive MIMO communication

An interference suppression (IS) time/frequency zone for improved interference suppression at the user equipment (UE) is provided. The IS time/frequency zone can be scheduled and set up using existing signaling of the Almost Blank Subframe (ABS) framework. This includes using the existing signaling of the ABS framework to schedule the IS time/frequency zone, coordinate transmission parameters among base stations for the IS time/frequency zone, and signal the IS time/frequency zone to the UE. In another aspect, interfering base stations align respective reference signals during the IS time/frequency zone, which allows the UE to measure the channels from its serving base station and/or the interfering base stations(s). With channel state information knowledge at the UE, interference alignment can be achieved at the UE during the IS time/frequency zone.

Interference suppression and alignment for cellular networks

Systems and methods for enabling a wireless backhaul network between access points (APs) in a wireless network are provided. In an embodiment, the wireless backhaul network is enabled using a Massive Multiple Input Multiple Output (MIMO) radio access technology (RAT). In another embodiment, the wireless backhaul network is established using the same RAT as used by the APs to serve user devices, and can utilize the same time and frequency resources used for user communication.

Massive MIMO (M-MIMO) support for heterogeneous networks (HetNets)

A method for communication in a wireless network is provided. The method includes a relay node receiving a data packet and determining whether to transmit the packet without performing error checking.

Packet delay optimization in the uplink of a multi-hop cooperative relay-enabled wireless network

A framework for enabling a user equipment (UE) to apply interference suppression processing during network conditions that are favorable to interference suppression or that are known is provided. The framework includes an interference suppression (IS) time and frequency (time/frequency) zone, which can be scheduled by a serving base station and signaled to the UE. In an embodiment, the serving base station coordinates with the interfering base station(s) to create a network condition favorable to interference suppression at the UE during the IS time/frequency zone. In another embodiment, the serving base station opportunistically schedules the IS time/frequency zone for the UE whenever it determines favorable transmission parameters being used or scheduled for use by the interfering base station(s). The UE applies interference suppression processing within the IS time/frequency zone, thereby improving receiver performance.

Coordination and signaling in NAICS and interference partitioning

As wireless networks evolve, network providers may utilize legacy LTE devices as well as devices that support massive multi-input, multiple output (M-MIMO). Systems and methods for simultaneously servicing legacy LTE devices and M-MIMO devices are provided. In embodiments, a transmission zone for M-MIMO communications is defined within a legacy, non M-MIMO radio frame. The location of the M-MIMO transmission zone is transmitted to user devices. For example, an identification of the location of the M-MIMO transmission zone is transmitted in a system information message. In a further example, the location of the M-MIMO transmission zone is transmitted in the downlink control information. The location of the M-MIMO transmission zone may be defined dynamically based on a variety of criteria. In addition or alternatively, a set of pre-defined transmission zones may be utilized.

Base station simultaneously servicing legacy cellular and massive multiple-input, multiple-output

For an infinite number of transmit antennas at a base station (BS), matched filter (MF) precoding (a type of precoding used to perform SU-MIMO transmission) becomes optimal for performing spatial multiplexing. But observations have shown that precoding types for performing MU-MIMO transmission can perform significantly better than MF precoding for a realizable number of transmit antennas at the BS, even while using the simplest precoding types for MU-MIMO transmission. For large inter-cell interference typically encountered by user terminals (UTs) at or near the boundary of the cell served by the BS, MF precoding can still be used to eliminate or reduce the need for coordination among cells, which consumes network and back-haul resources.

Precoding and scheduling for a cellular communication system using a large number of base stations antennas

A framework for enabling a user equipment (UE) to apply interference suppression processing during network conditions that are favorable to interference suppression or that are known is provided. The framework includes an interference suppression (IS) time and frequency (time/frequency) zone, which can be scheduled by a serving base station and signaled to the UE. In an embodiment, the serving base station coordinates with the interfering base station(s) to create a network condition favorable to interference suppression at the UE during the IS time/frequency zone. In another embodiment, the serving base station opportunistically schedules the IS time/frequency zone for the UE whenever it determines favorable transmission parameters being used or scheduled for use by the interfering base station(s). The UE applies interference suppression processing within the IS time/frequency zone, thereby improving receiver performance. Outside the time/frequency zone, the UE may disable interference suppression processing so as not to degrade receiver performance.

Interference suppression for cellular networks

Antenna systems and methods for Massive Multi-Input-Multi-Output (MIMO) (M-MIMO) communication are provided. Antennas systems include a M-MIMO transmitter architecture with a hybrid matrix structure. The hybrid matrix structure protects against transmit path component failures and ensures that a spatial rate of the MIMO transmitter is not degraded by the failures. Antenna systems and methods also include antenna selection schemes for selecting a subset of antennas from a plurality of antennas to transmit to a receiver.

Where receiver performance at a User Equipment (UE) is similar using a coarse precoder codebook as using a fine resolution precoder codebook, the signaling of a two-component precoder codebook is modified such that a precoder codeword is signaled to the UE in only a portion of the physical resources allocated for precoder codeword signaling to the UE. The remaining portion of the allocated physical resources is used to signal control information to improve the UE's performance.

Reducing precoder signaling overhead for MIMO communication system

In wireless operating environments, wireless user devices are often within the coverage area of multiple base stations. The base station providing the best uplink for the user device may be different than the base station providing the best downlink for the user device. Systems and techniques for asymmetric uplink and downlink communications for a user device are provided. In embodiments, the user device initially synchronizes with a base station. Both the uplink and downlink are initially served by this base station. A determination is then made whether to handoff the downlink for the user device to another base station. When a determination is indicated, the downlink is handed off to the second base station. Thereafter, periodic measurements are made. The determinations whether to handoff the uplink and downlink for the user device are made independently.

Cross cell beam persistence in a massive multiple-input, multiple output (MIMO) environment

A method, system and device are provided for using an indexed list of linearly independent, predetermined vectors V={v,. . . , v} and channel knowledge H, G from each transmitter to compute and feedback equivalent channel matrix information Hto its affiliated transmitter based on the assigned/determined rank of the receiver. With this information, each transmitter selects Lreceivers and constructs a transmitted signal by applying a selected precoding matrix to the mixed rank data, thereby eliminating interference to the rest of the receivers in the network.

Mixed rank downlink multi-user interference alignment scheme

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Waterloo, Canada

Amin Mobasher