Abstract: A method and device for execution of deep neural network (DNN) in an internet of things (IoT) edge network are provided. In an embodiment, at least one edge device within communication range of an IoT device are selected. Further, a network for connecting the IoT device with the at least one selected edge device is identified. A split ratio is determined based on an inference time of the DNN and a transmission time required for transmitting output of each layer of DNN from the IoT device to the selected at least one edge device. Finally, a plurality of layers of the DNN are split into a first part and a second part based on the split ratio, and the second part is transmitted to the selected at least one edge device through the identified network. The first part is executed on the IoT device, and the second part is executed on the selected at least one edge device.

Abstract: A method for communication by an electronic device is provided. The method comprises determining establishment of a data channel during an ongoing call with another electronic device; determining at least one application displayed on the electronic device and the another electronic device over the data channel during the ongoing call; determining a disconnection of the ongoing call between the electronic device and the another electronic device; and storing (508) a state of the at least one application in a memory of the electronic device based on determining the disconnection of the ongoing call, wherein the stored state of the at least one application is used for execution of the at least one application during another call.

Abstract: Provided is a method for adaptively streaming an artificial intelligence (AI) model file, including determining a capability of a first electronic device and a capability of a second electronic device, network information associated with the first and second electronic devices, and AI model information associated with the AI model file; determining to adaptively stream the AI model file based on the determined capabilities and information; pre-processing the AI model file; and adaptively streaming the AI model.

Abstract: Embodiments herein disclose a method for mitigating a temperature of an electronic device. The method includes determining, by the electronic device, the temperature of the electronic device, while a plurality of applications are executed on the electronic device, wherein each of the applications from the plurality of applications is associated with a first RAT. Further, the method includes detecting, by the electronic device, that the temperature of the electronic device meets thermal mitigation criteria. Further, the method includes mitigating, by the electronic device, the temperature of the electronic device by switching the application from the plurality of applications from the first RAT to a second RAT in response to detecting that the temperature of the electronic device meets the thermal mitigation criteria.

Abstract: Disclosed is a method for providing at least one rich interactive communication service on an electronic device including receiving, by the electronic device, a notification of at least one communication service from at least one server, identifying, by the electronic device, at least one unique identifier of the received at least one communication service based on the notification, determining, by the electronic device, that the identified unique identifier is authenticated, sending, by the electronic device, a request to at least one communication server based on the identified identifier, in response to determining that the identified unique identifier is authenticated, receiving, by the electronic device, at least one rich media for the received at least one communication service from the at least one communication server, responding to the request, and displaying, by the electronic device, the received at least one communication service with the least one rich media.

Abstract: A method and system of task management in an internet of things (IoT)-edge network may be provided. The method may include assigning at least one deep neural network (DNN) task from an IoT device to a first edge device; determining whether the first edge device satisfies one of a first predetermined criteria and a second predetermined criteria during execution of the at least one DNN task; triggering an alarm to the IoT device based on the determination; identifying a second edge device subsequent to the triggering of the alarm; determining whether to transfer the at least one DNN task to the second edge device or to execute the at least one DNN task on the first edge device, based on determining that the first device satisfies the second predetermined criteria; and transferring the at least one DNN task to the second edge device, based on determining that the first device satisfies the first predetermined criteria.

Abstract: A method for suppressing a noise portion(s) from a media event by an electronic device is provided. The method includes receiving a voice signal comprising the noise portion(s) and a voice(s) during the media event. Further, the method includes determining a weightage(s) for the noise portion(s) throughout the media event. Further, the method includes determining a plurality of parameters associated with the electronic device, where the plurality of parameters comprises at least one of a preference(s) of a user of the electronic device or a current context of the electronic device. Further, the method includes suppressing the noise portion(s) in the voice signal based on the weightage(s) and the plurality of parameters associated with the electronic device. Further, the method includes generating a media file, where the media file includes the voice(s) and non-suppressed noise portion(s).

Abstract: A method and device for execution of deep neural network (DNN) in an internet of things (IoT) edge network are provided. In an embodiment, at least one edge device within communication range of an IoT device are selected. Further, a network for connecting the IoT device with the at least one selected edge device is identified. A split ratio is determined based on an inference time of the DNN and a transmission time required for transmitting output of each layer of DNN from the IoT device to the selected at least one edge device. Finally, a plurality of layers of the DNN are split into a first part and a second part based on the split ratio, and the second part is transmitted to the selected at least one edge device through the identified network. The first part is executed on the IoT device, and the second part is executed on the selected at least one edge device.

Abstract: A method for sharing sensor information in a mission critical services (MCX) call is disclosed. The method includes: receiving, by a first user equipment (UE), a sensor message in the MCX call. The method includes obtaining, by the first UE, the sensor information associated with a second UE from the sensor message.

Abstract: Embodiments herein disclose a method for mitigating a temperature of an electronic device. The method includes determining, by the electronic device, the temperature of the electronic device, while a plurality of applications are executed on the electronic device, wherein each of the applications from the plurality of applications is associated with a first RAT. Further, the method includes detecting, by the electronic device, that the temperature of the electronic device meets thermal mitigation criteria. Further, the method includes mitigating, by the electronic device, the temperature of the electronic device by switching the application from the plurality of applications from the first RAT to a second RAT in response to detecting that the temperature of the electronic device meets the thermal mitigation criteria.

Abstract: Disclosed is a method for providing at least one rich interactive communication service on an electronic device including receiving, by the electronic device, a notification of at least one communication service from at least one server, identifying, by the electronic device, at least one unique identifier of the received at least one communication service based on the notification, determining, by the electronic device, that the identified unique identifier is authenticated, sending, by the electronic device, a request to at least one communication server based on the identified identifier, in response to determining that the identified unique identifier is authenticated, receiving, by the electronic device, at least one rich media for the received at least one communication service from the at least one communication server, responding to the request, and displaying, by the electronic device, the received at least one communication service with the least one rich media.

Abstract: Techniques for enabling an estimate of a transmitted signal vector, given a received signal vector and a channel matrix to be computed, are provided. An initial solution signal vector for the estimate is calculated, and based on the initial estimate, a pool of possible solutions is generated. Methods described herein may be iterative in nature, and may cycle through possible estimates of the transmitted signal vector so as to continually improve the estimates and the pool of possible estimates. The methods may terminate once stopping criteria are reached. In some example methods, solutions may be marked at taboo and a taboo period can be established that indicates a number of subsequent iterations for which the current solution signal vector cannot be considered.

Abstract: A communication system provides for an Internet Protocol Multimedia Subsystem (IMS)-based three way call. A mobile station (MS) that receives an invitation to participate in a call determines to switch the call to a three way call. The MS conveys a request to an IMS network to switch the call to a conference call. An IMS network server receives the request, determines a unique identifier for the conference call, and provides the conference call identifier to the MS via one or more of a Session Initiation Protocol Refer message, Message message, and Notify message. In response to receiving the conference call identifier, the MS dials into the conference call and requests that the call originator also dial in. The IMS network server then requests that the call originator dial in, and the call originator does so in response to the request.