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71 results about "C-RAN" patented technology

C-RAN (Cloud-RAN), sometimes referred to as Centralized-RAN, is an architecture for cellular networks. It was first introduced by China Mobile Research Institute in April 2010 in Beijing, China, 9 years after it was disclosed in patent applications filed by U.S. companies. Simply speaking, C-RAN is a centralized, cloud computing-based architecture for radio access networks that supports 2G, 3G, 4G and future wireless communication standards. Its name comes from the four 'C's in the main characteristics of C-RAN system, "Clean, Centralized processing, Collaborative radio, and a real-time Cloud Radio Access Network".

Network system for providing mobile edge computing service and service method thereof

The invention discloses a network system for providing mobile edge computing service and a service method thereof, so as to solve the technical problem of flexible deployment of MEC on a mobile communication network. In the C-RAN architecture, an SDN-based MEC controller is deployed, and an MEC server is deployed in the BBU. The service implementation step mainly comprises the following steps: setting a decision threshold; judging whether the time delay is sensitive or not and the like to determine a computing mode by an MEC controller; and giving a computing result through four computing modes of computing of a local MEC server, combination computing of a plurality of MEC servers, computing of a specific non-local MEC server and computing of a cloud center; and finishing all user MEC tasks through repeated executions. According to the method, the MEC service is realized; meanwhile, the remaining computational resources in the BBU can be sufficiently used, and the MEC network hierarchyis more concise, so that the management is facilitated, the data transmission efficiency is improved, the pressure of a core network is relieved, and the overall computing task time delay is reduced.The method can be used for flexible deployment of the MEC on the mobile communication network in the present 4G period, the 4G to 5G transition period and the 5G period.
Owner:XIDIAN UNIV

C-RAN calculation unloading and resource allocation method based on deep reinforcement learning

The invention discloses a C-RAN calculation unloading and resource allocation method based on deep reinforcement learning in the technical field of mobile communication. The method comprises the following steps: 1) firstly constructing a deep reinforcement learning neural network; calculating a task data size and calculation resources required for executing a task; 2) inputting the system state into a deep reinforcement learning model; performing neural network training, and obtaining system actions, 3) enabling the user to unload the calculation task according to the unloading proportionalitycoefficient; enabling the mobile edge computing server to execute a computing task according to the computing resource allocation coefficient; obtaining a reward value of the system action accordingto the reward function; updating neural network parameters according to the reward value; and 4) repeating the above steps until the reward value tends to be stable, completing the training process, and unloading the user computing task and allocating the computing resources of the MEC server according to the final system action. The method can greatly reduce the user service time and energy consumption, so that the real-time low-energy-consumption service becomes possible.
Owner:NANJING UNIV OF POSTS & TELECOMM

Method and device for resource scheduling and control based on C-RAN

The invention discloses a method and a device for resource scheduling and control based on C-RAN. The method comprises steps that a BBU (Base Band Unit) pool periodically sends a short pulse sequence in a wavelength dedicated control channel for activating an RRU (Remote Radio Unit); after the BBU pool activates the RRU, synchronization information and system information are broadcasted to an air interface, so that a user terminal is enabled to obtain the synchronization information and the system information, thereby enabling the user terminal and a district corresponding to the BBU to achieve downlink synchronization; further, the user terminal is enabled to establish connection and achieve uplink synchronization with the district through the random access process after achieving downlink synchronization with the district; after the user terminal achieves downlink synchronization and uplink synchronization with the district, the BBU pool allocates wireless bandwidth resources to the user terminal according to a buffer state report (BSR) sent by the user terminal in a scheduling period; and the BBU pool allocates optical wavelength bandwidth resources to the RRU according to the sum of all bandwidth requests of the user terminals corresponding to the RRU. The device is used for achieving the method.
Owner:BEIJING UNIV OF POSTS & TELECOMM

Associated task scheduling mechanism based on CoMP synchronization constraint in C-RAN framework

ActiveCN104540234ASatisfy the delay constraintsMeet different QoS requirementsWireless communicationQuality of servicePresent moment
The invention discloses an associated task scheduling mechanism based on CoMP synchronization constraint in a C-RAN framework. The associated task scheduling mechanism specially comprises the following steps: (1) selecting an appropriate cooperative RRU set according to a present network condition through a cell edge user; (2) predicting the system load of a next moment according to the load change situation of the system at a present moment and a previous moment through a load prediction module; (3) classifying user tasks according to QoS attribute through a task management module; (4) implementing cluster division and differentiation arrangement on virtual resources of a virtue base band pool according to the task amount and the task classification information through a VM management module; (5) reasonably scheduling associated tasks of parallel signals of the user according to the task classification information and the virtual resource allocation information through a task scheduling module. The associated task scheduling mechanism is applicable to synchronization constraint of parallel signals based on cooperative multi-point transmission (CoMP) in the C-RAN framework, and associated task scheduling with different quality of service (QoS) requirements.
Owner:XIDIAN UNIV

Virtual machine dispatching mechanism for JT-CoMP (Joint Transmission-Coordinated Multiple Points) in C-RAN (Centralized-Radio Access Network) framework

The invention discloses a virtual machine dispatching mechanism for JT-CoMP (Joint Transmission-Coordinated Multiple Points) in a C-RAN (Centralized-Radio Access Network) framework. The virtual machine dispatching mechanism specifically comprises: (1) centralizing calculation tasks of cell edge users into a virtual baseband pool; (2) classifying protocol function modules of all users by a module classifier with a range method; (3) configuring three VMs (virtual machines) for a system, wherein each VM has a very large request queue; (4) dispatching the modules to the corresponding VMs for execution by a module dispatcher according to module classification information; (5) calculating resource information and time information by a local manager according to a dispatching scheme and feeding back the information to a global manager; and (6) adjusting a mapping scheme by the global manager according to different heuristic algorithms until an optimal scheme is obtained. The VM dispatching mechanism is suitable for solving the VM dispatching problem of a JT-CoMP scene in the C-RAN framework, and can effectively realize synchronization between cooperative RRUs (Radio Remote Units) and ensure task execution fairness among the users.
Owner:XIDIAN UNIV

Energy saving method of BBU (Base Band Unit) pool under C-RAN (Cloud Radio Access Network) architecture

The invention discloses an energy saving method of a BBU (Base Band Unit) pool under a C-RAN (Cloud Radio Access Network) architecture, and belongs to the field of mobile communication. The energy saving method comprises the particular steps of: firstly, establishing a system model of users, RRHs (Remote Radio Heads) and the BBU pool; acquiring rates of transmitting the RRHs connected with a certain specific BBU to the users and a pre-coding matrix; calculating a transmission power usage rate rho trans and a traffic usage rate rho traff; then calculating a resource usage rate rho BBU of the specific BBU, and setting a kernel variable; pre-defining an upper limit and a lower limit of the resource usage rates of the BBUs, and defining four types of the BBUs; calculating the resource usage rates of all the BBUs in the BBU pool, carrying out partitioning according to four types and carrying out statistics on the numbers of various types; and finally, according to the kernel variables and the type numbers of all the BBUs in the BBU pool, carrying out switching among the BBUs to achieve energy saving. The energy saving method has the advantages that the resource usage rate of the specific BBU can be calculated and states of the BBUs can be dynamically switched; in the case of not influencing QoS of the users, one part of active BBUs in the BBU pool are closed and are enabled to enter a sleep state so as to save energy consumption.
Owner:BEIJING UNIV OF POSTS & TELECOMM

Data transmission method for C-RAN (C-Radio Access Network) architecture massive MIMO (Multi-Input Multi-Output) system based on compressed sensing

ActiveCN105812042AIncrease capacitySmall amount of interactive informationSpatial transmit diversityPattern recognitionMulti input
The invention provides a data transmission method for a C-RAN (C-Radio Access Network) architecture massive MIMO (Multi-Input Multi-Output) system based on compressed sensing. The method comprises the following steps: a centralized baseband processing unit (BBU) vectorizes a channel matrix H obtained by channel estimation to obtain a channel vector h; the BBU carries out random measurement using the channel vector h to obtain a measurement vector y in a compressed sensing model; the BBU sends the measurement vector y and a data symbol vector s to each remote radio unit (RRU); the RRU obtains a channel matrix reconstruction signal H^ according to the received measurement vector y and a compressed sensing algorithm; the RRU calculates a pre-coding matrix W using the channel matrix H^; and the RRU carries out pre-coding using the pre-coding matrix W and the data symbol vector s, and calculates a sending signal vector x. According to the method, channel state information is compressed by adopting a compressed sensing method, reconstructed and then pre-coded, so that the capacity of the system is greatly improved under the condition that the transmission bandwidth between the BBU and the RRU is limited.
Owner:UNIV OF ELECTRONICS SCI & TECH OF CHINA

Wireless access network system based on C-RAN

The invention discloses a wireless access network system based on a C-RAN. The wireless access network system based on the C-RAN comprises a base station room and multiple planning sites respectively arranged in different outdoor places, wherein multiple baseband processing units and one room multiplexer/demultiplexer are arranged in the base station room, and each baseband processing unit is connected to the multiplexer/demultiplexer through one room optical wavelength converter and one room optical switch. Each planning site comprises a site multiplexer/demultiplexer and a remote radio unit, wherein the remote radio unit is sequentially connected to the site multiplexer/demultiplexer through one site optical wavelength converter and one site optical coupler. The room multiplexer/demultiplexer is connected with the site multiplexer/demultiplexer through main and standby line optical fibers. When all or one of the main and standby line optical fibers breaks, lines are switched through the room optical switch. The wireless access network system adopts optical couplers at remote radio site receiving terminals, the complexity of outdoor design is effectively simplified, the system stability is improved, accordingly the risk is reduced, and the protection switching requirement is met.
Owner:FENGHUO COMM SCI & TECH CO LTD

Method for detecting energy consumption of LTE wireless private network based on C-RAN architecture

The invention provides a method for detecting the energy consumption of an LTE wireless private network based on a C-RAN architecture. The method comprises the following steps that an energy consumption module of equipment to be detected of an LTE wireless private network system is established according to the C-RAN architecture; in operation of the equipment to be detected, the energy consumption value of the energy consumption part of digital baseband processing of the equipment to be detected, the energy consumption value of the energy consumption part of a simulation radio frequency unit, the energy consumption value of the energy consumption part of a power amplifying module and the energy consumption value of the energy consumption part of system environment are calculated; the total energy consumption value of the LTE wireless private network system is determined according to the calculated energy consumption values. The method achieves the accurate calculation of the system energy consumption, the energy consumption of each part corresponds to an entity physical unit carrier, when the system structure of a signal processing algorithm is changed, the caused energy consumption change can also be precisely detected in real time, and important reference is provided for energy consumption detection and control of the LTE wireless private network.
Owner:GUANGZHOU POWER SUPPLY BUREAU GUANGDONG POWER GRID CO LTD

C-RAN user association and computing resource allocation method based on deep reinforcement learning

The invention discloses a C-RAN user association and computing resource allocation method based on deep reinforcement learning. The method comprises the following steps of 1) establishing a deep reinforcement learning neural network, and combining a signal to interference ratio (SINR) state of the neural network, a computing resource state in a baseband unit (BBU) pool and a far-end radio frequency head (RRH) cache state into a system state as input of the neural network; and 2) training the neural network according to the input system state to obtain neural network output, namely system action. and 3) using the C-RAN to perform the user association and computing resource allocation in the BBU pool according to the system action, and obtain a reward value under the system action and the system state at the next moment according to the reward function and the state transition matrix; and 4) inputting the reward value and the next system state into the neural network, repeating the abovesteps until the reward value tends to be stable so as to complete the training process, and carrying out user association and computing resource allocation in the BBU pool according to the final system action, thereby greatly reducing the service time delay, improving the service quality, and enabling the real-time service to be possible.
Owner:NANJING UNIV OF POSTS & TELECOMM
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