Nokia Solutions and Networks Oy

Parijat Bhattacharjee

Anand Bedekar

Vaibhav Singh

Prasanna Mudlappa

Shivanand Kadadi

Vishnu Ram Omanakutty Amma Vijayaraghavan Nair

Rajesh Banda

Vishnu Ram Omanakutty Amma Vijayaraghavan

Systems, methods, apparatuses, and computer program products for dynamic target cell selection for application of RAN optimization are provided. One method includes receiving a request, from one or more radio access network optimization services, that comprises a list of attributes corresponding to characteristics of a cell and a cell selection criterion for each of the attributes, receiving, from one or more radio access network cells, a data stream comprising metrics for at least one of the cell or users in the cell. The method may also include generating, based on the received request and the metrics, a list of zero or more cells that meet the selection criterion for one of the radio access network optimization services or for a group of the radio access network optimization services, and sending, to a respective one of said one or more radio access network optimization services, the generated list of said zero or more cells that meets the selection criterion for the respective one or more radio access network optimization services.

Dynamic cell selection for radio network optimization

A method and apparatus for estimating and/or predicting mobility metric(s) for RAN optimization. One method includes receiving a request, from at least one RAN optimization service, to provide an estimate or prediction of a mobility metric for at least one UE or group of UEs or at least one cell. The request may include attributes describing characteristics of the mobility metric. The method may then include communicating with a RAN node to request data about the at least one UE or the group of UEs or the at least one cell associated with the request, receiving the requested data, and calculating the estimate or the prediction of the mobility metric using the requested data and based on the attributes received in the request from the at least one RAN optimization service.

Prediction and estimation of mobility metric for radio access network optimization

Apparatuses and methods in a communication system are provided. A method comprises receiving from network instructions of how to control multi-user multiple input multiple output connections maintained by one or more radio access nodes, the connections utilising one or more slices. One or more radio access nodes perform, based at least in part on the received network instructions, multi-user pairing of terminal devices of the same or different slices, and determine, based at least in part on the received network instructions, slice-based quota taking multi-user pairing and interference arising from paired allocations into account.

Control of multi-user multiple input multiple output connections

There is provided a method comprising: causing, by a network element of a wireless network, an allocation of a first resource set to an entity comprising at least a first virtual network function and a second virtual network function, wherein at least a subset of the first resource set provides the first virtual network function, and wherein another subset of the allocated first resource set or a second resource set allocated to said entity provides resources for said second virtual network function.

Polymorphic virtualized network function

Information on a tier comprising given resources operationally connected to a set of remote radio heads and configured to process traffic to and from the remote radio heads is gathered and maintained (). The usage of the tier resources on different connections and services is controlled (). Communication () is maintained with respective apparatuses controlling other tiers regarding the use of resources of the tiers.

Cloud based access network

A method and an apparatus for designing a cloud based radio access network, C-RAN, are provided. The solution comprises dividing () the access network into two or more tiers having different processing capabilities; receiving as an input information about the physical location of one or more remote radio heads, RRH, of the network and required quality of service of the remote radio heads; and determining () the physical location of the tier, BBU, having most efficient processing capability for serving the remote radio heads on the basis of the information about the location and required quality of service of at least part of the one or more remote radio heads.

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Bengaluru, India

Parijat Bhattacharjee