Abstract:
Disclosed is a learning method based on a stochastic-based deep learning model having a non-consecutive stochastic neural. The learning method includes configuring a non-consecutive stochastic feedforward neural network (NCSFNN) having non-consecutive stochastic neuron as a leaning model including a plurality of hidden layers; and allowing the NCSFNN to learn.
Abstract:
An apparatus and a method for reserved transmission of non-real-time content in a heterogeneous network environment are disclosed. According to the present disclosure, a method for performing reserved transmission of non-real-time content in a heterogeneous network environment comprises receiving a transmission reservation option from either a mobile terminal user or a server, collecting information on networks accessible by the mobile terminal and data transmission rate on a regular basis, performing scheduling of whether to transmit data over a currently accessible network, based on the received transmission reservation option and the collected information on the accessible networks and the data transmission rate, and repeating data transmission according to the scheduling until transmission of the content is completed.
Abstract:
Some embodiments of the present disclosure provide a method for managing access points in a Wi-Fi network by using a centralized controller. In some embodiments of the present disclosure, a Wi-Fi access point management method is provided for minimizing interference between Wi-Fi access points in a Wi-Fi network environment, and for reducing excessive power consumption by using a centralized controller to adapt to network conditions, meeting requirements including users' traffic demands.
Abstract:
The present invention relates to a wireless communication system. More specifically, the present invention relates to a method for scheduling a terminal in a wireless communication system permitting overlapping between base station clusters, and an apparatus therefor, the method comprising the steps of: grouping a plurality of terminals into a plurality of groups satisfying predetermined conditions; and selecting one more terminals for scheduling by means of a group-based greedy algorithm for each of the plurality of groups, wherein, in the group-based greedy algorithm, a check is skipped for whether the total number of base station antennas corresponding to each group is equal to or greater than the number of terminals selected from each group.
Abstract:
An apparatus and a method for reserved transmission of non-real-time content in a heterogeneous network environment are disclosed. According to the present disclosure, a method for performing reserved transmission of non-real-time content in a heterogeneous network environment comprises receiving a transmission reservation option from either a mobile terminal user or a server, collecting information on networks accessible by the mobile terminal and data transmission rate on a regular basis, performing scheduling of whether to transmit data over a currently accessible network, based on the received transmission reservation option and the collected information on the accessible networks and the data transmission rate, and repeating data transmission according to the scheduling until transmission of the content is completed.
Abstract:
The present disclosure provides a method and an apparatus for scheduling traffic in a wireless communication system. A method for a base station operating in a wireless communication system according to an embodiment of the present disclosure comprises the steps of: receiving feedback information from a plurality of terminals; and scheduling the plurality of terminals based on the feedback information, wherein the step of scheduling the plurality of terminals includes a step of scheduling so as to reduce throughput of terminals in a first group of the plurality of terminals that are in an overload state, and to satisfy delay-based quality of service (QoS) of terminals in a second group of the plurality of terminals that are in under-load state. As a result, the total utility of all the terminals can be maximized, a delay-based QoS with respect to all the terminals can be achieved on average, and a minimum data rate-based QoS can be achieved on average.