Abstract: A method performed by a CPU of a cascade cell-free massive MIMO network where APs are connected in a cascaded fronthaul chain to the CPU using a shared fronthaul bus. An AP at the end of the cascaded fronthaul chain is assigned as a last AP. Responsive to determining that fronthaul UL data is received by the CPU from the last AP, it is determined that the last AP is healthy. Responsive to fronthaul UL data not being received for a period of time, data addressed to the last AP is transmitted through DL broadcast structure of the shared fronthaul bus; Responsive to the ACK signal being received, it is determined that the last AP is healthy and responsive to the ACK signal not being received, it is determined that a fronthaul segment until the last AP is not healthy.

Abstract: A network node in a communications network can perform adaptive hybrid precoding. The network node can be communicatively coupled to an access point via a fronthaul. The network node can determine an amount of available bandwidth on the fronthaul. The network node can further determine whether to have the access point perform precoding of signals communicated between the access point and a communication device based on the amount of available bandwidth on the fronthaul. Responsive to determining whether to have the access point perform the precoding, the network node can transmit an indication to the access point indicating whether to perform the precoding.

Abstract: Embodiments described herein relate to methods and apparatus for managing packet dropping in the fronthaul network. A method in a packet processing system includes receiving a plurality of data packets for transmission over the fronthaul network, wherein the plurality of data packets include radio data; obtaining first information for the plurality of data packets, wherein the first information is related to transmission of the radio data over a radio access interface in the radio network; and responsive to a requirement to decrease a load in the fronthaul network, selecting at least one of the plurality of packets to drop by applying at least one prioritization rule to the plurality of data packets based on the obtained first information.

Abstract: Disclosed is a method performed by an access point, AP (120), of a WLAN (125), for handling a wireless device (140) connected to the AP (120). The method comprises obtaining information on signal quality of signals sent between the AP (120) and the wireless device (140), and when the obtained information on signal quality reveals that the signal quality is below a signal quality threshold, determining a current value of a wireless device characteristic. The method further comprises obtaining, from a pre-emptive handover system (150), an estimation of a likelihood of the wireless device (140) disconnecting from the WLAN for the current value of the wireless device characteristic, wherein the likelihood was determined from statistical information of earlier handling of the wireless device (140) by the AP (120) for different values of the wireless device characteristics.

Abstract: Embodiments presented herein relates to a method for saving power in remote radio heads (RRHs) of a wireless communication system. The method is performed in an RRH controller node associated with a plurality of RRHs or the same cell, each of the plurality of RRHs having at least a first antenna branch A of the cell and a second antenna branch B of the cell. The method comprises providing S120 a first power saving indication to a first RRH of the plurality of RRHs, to inactivate its first antenna branch A, and providing S120 a second power saving indication to a second RRH of the plurality of RRHs, to inactivate its second antenna branch B, wherein at least one antenna branch is kept active in the first and second RRH. RRH controller nodes, a computer programs and a computer program product for saving power in RRHs of a wireless communication system are also presented.

Abstract: A method performed by a system having a plurality of base station systems, each base station system comprising a baseband unit, BBU and a radio unit, RU interconnected via a fronthaul connection that is shared between the base station systems. Fronthaul capacity information on transmission capacity of the shared fronthaul connection and information on required capacity for transmission and/or reception of wireless signals by the RU of the respective base station system are obtained. Time unit transmission restrictions for the respective base station system is determined based on the fronthaul capacity information and on the information on required capacity, which time unit transmission restrictions results in fronthaul usage below the transmission capacity of the part of the fronthaul connection. Information on the determined time unit transmission restrictions is sent to the BBU of the respective base station system.

Abstract: It is presented a method for determining packet loss in a fronthaul link of a radio access network. The method being performed in a packet loss determiner and comprising the steps of: obtaining a set of user equipments, UEs, that are all scheduled to communicate over a radio interface in a scheduling interval; creating a subset of UEs, comprising a number of UEs, from the set of UEs, that are the UEs in the set being most vulnerable to fronthaul packet loss; determining, for each UE in the subset of UEs, whether the communication in the scheduling interval was unsuccessful; and determining a packet loss in the fronthaul link depending on to what extent each one of the UEs in the subset of UEs is determined to have had unsuccessful use of the radio interface.

Abstract: Methods and apparatus are provided for sending data using a packet-based interface to cause a radio unit to send transmissions to at least one UE. In an example aspect, a method includes determining that a packet for causing the radio unit to send transmissions to a first user equipment, UE, in at least a portion of a time interval allocated to the first UE for transmissions to the first UE will not reach the radio unit, and sending at least one further packet to the radio unit to cause the radio unit to send transmissions to a second UE in at least part of the time interval.

Abstract: Embodiments described herein relate to methods and apparatus for transmitting radio data over a fronthaul network. The method comprises receiving radio data for transmission over the fronthaul network; and translating the radio data between a time domain multiplexing protocol and packet based protocol before transmitting the data over the fronthaul network; wherein the step of translating comprises: receiving control information indicative of a level of congestion over a part of the radio network using the packet based protocol; and modifying the radio data during the step of translating to control the level of congestion.

Abstract: Embodiments described herein relate to methods and apparatus for managing packet dropping in the fronthaul network. A method in a packet processing system includes receiving a plurality of data packets for transmission over the fronthaul network, wherein the plurality of data packets include radio data; obtaining first information for the plurality of data packets, wherein the first information is related to transmission of the radio data over a radio access interface in the radio network; and responsive to a requirement to decrease a load in the fronthaul network, selecting at least one of the plurality of packets to drop by applying at least one prioritization rule to the plurality of data packets based on the obtained first information.

Abstract: Embodiments presented herein relates to a method for saving power in remote radio heads (RRHs) of a wireless communication system. The method is performed in an RRH controller node associated with a plurality of RRHs or the same cell, each of the plurality of RRHs having at least a first antenna branch A of the cell and a second antenna branch B of the cell. The method comprises providing S120 a first power saving indication to a first RRH of the plurality of RRHs, to inactivate its first antenna branch A, and providing S120 a second power saving indication to a second RRH of the plurality of RRHs, to inactivate its second antenna branch B, wherein at least one antenna branch is kept active in the first and second RRH. RRH controller nodes, a computer programs and a computer program product for saving power in RRHs of a wireless communication system are also presented.

Abstract: A method performed in a scheduler entity is provided for adapting load on a fronthaul network in a radio access network comprising a central baseband unit and a remote radio unit. The central baseband unit and the remote radio unit are interconnected by the fronthaul network over which baseband signal information is exchanged. The method comprises obtaining information related to capacity of the fronthaul network, and adapting, based on the obtained information, air interface performance for at least one type of conveyed baseband signal information such as to enable adapting of load on the fronthaul network. A scheduler entity, method in a fronthaul module, computer programs and computer program products are also provided.

Abstract: It is provided a method for compressing beamspace coefficients to be applied when transferring data between a radio network node and a specific user device, the method being performed in a coefficient encoder and comprising the steps of: obtaining beamspace coefficients, wherein each beamspace coefficient comprises a complex value and a direction; determining at least one cluster based on proximity, in a complex plane, of the complex values of the beamspace coefficients; determining, for each beamspace coefficient, a cluster to which it belongs; determining a representative complex value for each one of the at least one cluster; outputting the representative complex values for each cluster; and outputting, for each beamspace coefficient, an identity of the cluster to which the beamspace coefficient belongs.

Abstract: Aspects identify target dimensional data value items via machine learning that are most strongly correlated to successful hires for job opportunities within employment data that are similar to a new job opportunity. In response to determining that the target item value for a candidate is deficient to qualify for the new job opportunity, aspects engage the candidate in an automated artificial intelligence chat bot agent interview process that acquires interview audio and image response data from the candidate; extract data relevant to the target item from interview audio and image data; determine an objective value for the target item as a function of the extracted data; and qualify the candidate for suitability for the new job opportunity as a function of resume data mapped to the metadata representation of the candidate and the objective value determined for the target item.

Abstract: Aspects map, without association to job description data, candidate skills and activity data values to a metadata representation within a metadata repository; determine, without association to the job description data, via a machine learning process, a plurality of employability values for the candidate for top-trending jobs as a function of strength of match of the mapped activity and skills values to respective skills and activity data values that are associated within the repository to top-trending jobs without association to values of the job description data that are associated to the top trending jobs; generate a prioritized subset of the top trending jobs that omits jobs that have employability values failing to meet a minimum threshold employability value; and drive a graphical user interface display to present the prioritized subset of the top trending jobs to the candidate ranked as a function of their determined employability values.

Abstract: Aspects map values of skills data for candidates to skills metadata representations stored within a metadata repository that includes skills metadata representation data dimensions for other candidates; filter via machine learning a top-trending subset of job classifications that have better career opportunity values from a universe of job classifications defined within the repository dimensional data values; determine via machine learning career path viability values for the top-trending subset job classifications as a function of strength of match to candidate dimensional values; project likely future values of mapped candidate values at the end of a future time period within a simulated work market scenario; and prioritize the top-trending subset job classifications as potential career paths for candidates as a function of the career path viability values and the projected future values of the dimensional data mapped for the candidates within the repository.

Abstract: It is presented a method for determining packet loss in a fronthaul link of a radio access network. The method being performed in a packet loss determiner and comprising the steps of: obtaining a set of user equipments, UEs, that are all scheduled to communicate over a radio interface in a scheduling interval; creating a subset of UEs, comprising a number of UEs, from the set of UEs, that are the UEs in the set being most vulnerable to fronthaul packet loss; determining, for each UE in the subset of UEs, whether the communication in the scheduling interval was unsuccessful; and determining a packet loss in the fronthaul link depending on to what extent each one of the UEs in the subset of UEs is determined to have had unsuccessful use of the radio interface.

Abstract: Aspects map candidate resume data values to a resume metadata representation of the candidate defined by data dimensions stored within a metadata repository that includes resume metadata representation data dimensions of a plurality of candidates; learn via a machine learning process different trending demand values for job classifications within the dimensional data as a function of employment data; identify via the machine learning process an upwardly trending job position skill missing from the candidate data dimensions and most likely to match a current skill set of the candidate; add the identified skill to the first candidate data dimensions; and generate a resume for the first candidate as a function of the first candidate data dimensions to include the added skill.

Abstract: It is provided a method for compressing beamspace coefficients to be applied when transferring data between a radio network node and a specific user device, the method being performed in a coefficient encoder and comprising the steps of: obtaining beamspace coefficients, wherein each beamspace coefficient comprises a complex value and a direction; determining at least one cluster based on proximity, in a complex plane, of the complex values of the beamspace coefficients; determining, for each beamspace coefficient, a cluster to which it belongs; determining a representative complex value for each one of the at least one cluster; outputting the representative complex values for each cluster; and outputting, for each beamspace coefficient, an identity of the cluster to which the beamspace coefficient belongs.

Abstract: An environmental control system for an aircraft uses engine bleed air for cabin environment control. The environment control system regulates the inlet airflow by assessing a plurality of parameters that provides, but not limited to, the aircraft operating conditions and external environment data, aiming at substantially reducing the extracted engine bleed air demand for cabin environment control and fuel consumption reduction and concurrently complying with aircraft pressurization, ventilation and thermal load requirements. The environmental control system airflow target is calculated based on the actual aircraft operating conditions, external environment data and a multi-dimensional airflow schedule map.