Abstract: A breathable and waterproof non-woven fabric is manufactured by a manufacturing method including the following steps. Performing a kneading process on 87 to 91 parts by weight of a polyester, 5 to 7 parts by weight of a water repellent, and 3 to 6 parts by weight of a flow promoter to form a mixture, in which the polyester has a melt index between 350 g/10 min and 1310 g/10 min at a temperature of 270° C., and the mixture has a melt index between 530 g/10 min and 1540 g/10 min at a temperature of 270° C. Performing a melt-blowing process on the mixture, such that the flow promoter is volatilized and a melt-blown fiber is formed, in which the melt-blown fiber has a fiber body and the water repellent disposed on the fiber body with a particle size (D90) between 350 nm and 450 nm.

Abstract: A resource allocation method and a resource allocation system are provided. The resource allocation method includes the following steps. Quality parameters of each of a plurality of resource blocks are obtained through measurement devices, and first and second application scenario suitability indices for each of the resource blocks are calculated according to the quality parameters. A first ranking sequence and a second ranking sequence of the resource blocks are generated according to the first application scenario suitability index and the second application scenario suitability of each resource block. A base station is configured to allocate, according to the first ranking sequence and the second ranking sequence, at least one first resource block and at least one second resource block of the resource blocks to at least one first user equipment in a first application scenario and at least one second user equipment in a second application scenario, respectively.

Abstract: A wireless communication method is disclosed. The method includes the following operations: measuring a plurality of quality parameters of a channel between a user device and a base station device by a processor; determining a corresponding coverage enhancement (CE) level of a plurality of CE levels corresponding to the channel according to a reference signal receiving power (RSRP) parameter, an interference parameter and at least one of a bit error rate (BER) parameter and a block error rate (BLER) parameter of the plurality of quality parameters by the processor; and allocating a resource according to the corresponding CE level, for the user device to perform a first data uplink operation through the channel to uplink data to the base station device by the processor.

Abstract: An IoT base station and a resource arrangement method thereof are provided. For each of a plurality of candidate resource arrangement orders of a plurality of user equipments in a downlink shared channel, the IoT base station calculates a resource waste of every two adjacent user equipments. Each of the resource wastes is calculated based on a basic delay, the two end positions of the downlink control information of the two user equipments in a downlink control channel, an additional delay of each of the two user equipments, and the resource demand of the former one of the two user equipments. Each of the candidate resource arrangement orders corresponds to a total resource waste. The IoT base station selects the candidate resource arrangement order corresponding to the minimum total resource waste as a selected resource arrangement order.

Abstract: A base station, a user equipment and a method of repeating downlink control information are disclosed. The base station compresses a plurality of pieces of downlink control information respectively corresponding to a plurality of target user equipments into a piece of compressed downlink control information, and repeats the compressed downlink control information to the plurality of target user equipments in a downlink control channel. The user equipment receives and decompresses the compressed downlink control information from the base station in the downlink control channel to acquire the downlink control information associated with the user equipment.

Abstract: A network anomaly analysis apparatus, method, and non-transitory computer readable storage medium thereof are provided. The network anomaly analysis apparatus stores a plurality of network status data and is configured to dimension-reduce each network status datum into a principal component datum, select a first subset and a second subset of the principal component data as the training data and the testing data respectively, derive a classification model by classifying the training data into a plurality of normal data and a plurality of abnormal data, derive a clustering model by clustering the abnormal data, derive an accuracy rate by testing the classification model and the clustering model by the testing data, select a third subset of the principal component data as a plurality of validation data when the accuracy rate fails to reach a threshold, and update the classification model and the clustering model with the validation data.

Abstract: A base station central control server and a base station outage compensation method thereof are provided. After detecting an outage of a first base station, the base station central control server calculates a plurality of compensation indices which correspond to a plurality of second base stations according to base station information of the second base stations, and selects a prior compensation index which corresponds to a third base station. The base station central control server selects a main compensation configuration from a plurality of compensation configurations of the third base station, and notifies the third base station of performing compensation communication based on the main compensation configuration.

Abstract: A central control device and a load balancing method thereof are provided. The central control device includes a network interface, a storage and a processor. The network interface is connected to a plurality of base stations and receives a load parameter from each base station. The storage stores the load parameters. The processor is electrically connected to the storage and the network interface. For each base station, the processor calculates a load indication according to the load parameter thereof to determine whether the base station is an overloaded base station based on the load indication, and calculates an offload priority indication according to the load indication, a quantity of off-loadable resources of at least one neighboring base station, a first weighting factor and a second weighting factor. The processor determines an offload order of the overloaded base stations according to the offload priority indications.

Abstract: A coverage hole detection apparatus and method are provided. The coverage hole detection apparatus decides two boundary locations of a coverage hole according to (a) a time length from a time point when a user equipment (UE) has detected a disconnection from a first base station to a time point when the UE determines that a Radio Link Failure (RLF) has happened, (b) a time length from a time point when the UE receives an RLF report request from a second base station to a time point when the UE transmits an RLF report response to the second base station, (c) a location that the UE determines that the RLF has happened, and (d) a location where the UE transmits the RLF report response. The coverage hole detection apparatus decides the coverage hole according to the two boundary locations and a sensitivity range of the UE.

Abstract: An apparatus and method for deciding an offload list for a heavily loaded base station are provided. The heavily loaded base station serves a plurality of user equipments. A part of the user equipments are candidate user equipments, wherein a connection quality parameter of each of the candidate user equipments is smaller than a threshold. Each of the candidate user equipments has an offload utility value and a service level agreement degree. The apparatus selects one of the candidate user equipments as a selected user equipment according to the offload utility values. The apparatus decides to add an identity of the selected user equipment into the offload list according to at least the service level agreement degree of the selected user equipment and a load of a target base station of the selected user equipment.

Abstract: A central control device and a load balancing method thereof are provided. The central control device includes a network interface, a storage and a processor. The network interface is connected to a plurality of base stations and receives a load parameter from each base station. The storage stores the load parameters. The processor is electrically connected to the storage and the network interface. For each base station, the processor calculates a load indication according to the load parameter thereof to determine whether the base station is an overloaded base station based on the load indication, and calculates an offload priority indication according to the load indication, a quantity of off-loadable resources of at least one neighboring base station, a first weighting factor and a second weighting factor. The processor determines an offload order of the overloaded base stations according to the offload priority indications.

Abstract: A control device and a control method for dynamically adjusting power of small-cell base stations are provided. The control device determines the number of interfered terminals of each small-cell base station according to signal quality information of terminal devices, divides the small-cell base stations into a plurality of groups, and adjusts the power of the small-cell base stations of each group in order.

Abstract: A control device and a control method for dynamically adjusting power of small-cell base stations are provided. The control device determines the number of interfered terminals of each small-cell base station according to signal quality information of terminal devices, divides the small-cell base stations into a plurality of groups, and adjusts the power of the small-cell base stations of each group in order.

Abstract: A technique to implement a network traffic management system with an integrated multidimensional floating point sorter is to store data such that it may be retrieved in a sorted fashion. Entries are stored into a memory according to time stamp value, represented in a floating point format, and the time stamp value is divided into at least two portions, exponent and mantissa. The memory is organized as a pointer memory. An integrated multidimensional floating point sorter may be implemented using integrated circuit technology using one or more integrated circuits. These integrated circuits may be used in management of network traffic, and provides quality of service (QoS) or class of service (CoS) control.

Abstract: Network traffic is manages using a digital signal processing integrated circuit (DSP). The DSP performs one or more of the following functions on the incoming network traffic: classification, policing, congestion control, segmentation and reassembly, queuing, scheduling, shaping and label switching. The DSP may have one or a plurality of processing cores. In one embodiment of the invention, each processing core of the DSP is dedicated to specific traffic management layer. The DSP, used in management of network traffic, provides quality of service (QoS) or class of service (CoS) control.

Abstract: A Virtual Group Connection (VGC) scheme for grouping ATM connections. A plurality of VPCs, VCCs, or both are managed together as a single virtual data pipe having a pool of common connection resources (e.g., bandwidth, buffering, etc.) associated therewith. Shaping, grooming, policing, switching, and other traffic engineering operations may be performed on a VGC as a single connection hierarchy operable to be associated with a single customer.

Abstract: Fractional or fuzzy time stamp values are used during processing network traffic. Handling fractional time stamp values permits scaling down of time stamp values, so that fewer bits, and memory, are needed to store each fractional time stamp value. According to a specific technique, departure times are set based on a quantity X plus Y/Z, where X is an integer, Y is a numerator, and Z is a denominator. The departure times are synchronized with the ideal departure times after (Z*X+Y) time units. A technique is provided to reduce cell delay variation.

Abstract: A method and technique of managing network traffic using a digital signal processing integrated circuit (DSP). The DSP performs one or more of the following functions on the incoming network traffic: classification, policing, congestion control, segmentation and reassembly, queuing, scheduling, shaping and label switching. The DSP may have one or a plurality of processing cores. In one embodiment of the invention, each processing core of the DSP is dedicated to specific traffic management layer. The DSP, used in management of network traffic, provides quality of service (QoS) or class of service (CoS) control.

Abstract: A technique to implement a network traffic management system with an integrated multidimensional floating point sorter (306) is to store data such that it may be retrieved in a sorted fashion. Entries are stored (407) into a memory according to time stamp value, represented in a floating point format, and the time stamp value is divided (412) into at least two portions, exponent and mantissa. The memory is organized as a pointer memory (505, 508, 513, and 520). An integrated multidimensional floating point sorter may be implemented using integrated circuit technology using one or more integrated circuits (306). These integrated circuits may be used in management of network traffic, and provides quality of service (QoS) or class of service (CoS) control.

Abstract: Fractional or fuzzy time stamp values are used during processing network traffic. Handling fractional time stamp values permits scaling down of time stamp values, so that fewer bits, and memory, are needed to store each fractional time stamp value. According to a specific technique, departure times are set based on a quantity X plus Y/Z, where X is an integer, Y is a numerator, and Z is a denominator. The departure times are synchronized with the ideal departure times after (Z*X+Y) time units. A technique is provided to reduce cell delay variation.