WO2011127855A2 - 通信系统及其管理方法 - Google Patents
通信系统及其管理方法 Download PDFInfo
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- WO2011127855A2 WO2011127855A2 PCT/CN2011/074184 CN2011074184W WO2011127855A2 WO 2011127855 A2 WO2011127855 A2 WO 2011127855A2 CN 2011074184 W CN2011074184 W CN 2011074184W WO 2011127855 A2 WO2011127855 A2 WO 2011127855A2
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W88/00—Devices specially adapted for wireless communication networks, e.g. terminals, base stations or access point devices
- H04W88/08—Access point devices
- H04W88/085—Access point devices with remote components
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/02—Arrangements for optimising operational condition
Definitions
- Embodiments of the present invention relate to the field of wireless communications, and more particularly, to communication systems and methods of management thereof. Background technique
- the cellular communication system includes three parts: a user equipment (UE), a radio access network (RAN), and a core network.
- the UE is a tool for communication by the network user.
- the RAN is responsible for the management of the air interface resources and a part of the mobility management.
- the CN is responsible for user authentication, accounting, mobility management, bearer establishment maintenance, and data routing.
- the RAN before LTE includes two parts: the base station and the base station controller.
- the base station For GSM (Global System of Mobile communication) / GPRS (General Packet Radio Service), RAN is BS (Base Station) and BSC (Base Station Controller, Universal Mobile) Communication system)
- the RAN consists of a NodeB and an RNC (Radio Network Controller).
- the base station communicates with the UE through the air interface, and the base station controller performs unified management and scheduling on multiple base stations.
- LTE adopts a flat network architecture.
- the RAN has only one eNodeB network element, which includes the functions of the previous NodeB.
- the functions of the base station controller are also distributed to each eNodeB node.
- the distributed base station divides the traditional base station into a Baseband Unit (BBU) and a Radio Remote Unit (RRU).
- the RRU performs operations such as RF signal transmission and reception, peak-to-peak ratio reduction, digital pre-distortion, up-conversion, DAC (Digital-to-Digital Conversion), ADC (Analog-to-Digital Conversion), and amplifier. It interacts with the BBU through baseband information through protocols such as the Common Public Radio Interface (CPRI).
- CPRI Common Public Radio Interface
- the physical connection between the BBU and the RRU is mostly optical fiber.
- the BBU+RRU method brings great flexibility to the site layout.
- the RRU is small in size and easy to lay in the position of the pole, which takes up less space. Usually, there are floors in the interior of a large building, walls in the room, and space between the indoor and indoor users.
- the BBU+RRU multi-channel solution uses this feature. Deploy one RRU for each partitioned space. For large stadiums with more than 100,000 square meters, the auditorium can be divided into several cells, and each cell is provided with several channels, each channel corresponding to the RRU of a panel antenna.
- the BBU is large in size and can be placed separately in the machine room.
- the mobile communication network usually adopts a cellular structure, that is, different base stations are set up at different locations, and each base station forms a cell, which is responsible for communication of mobile users in the area, in order to ensure that mobile users can obtain seamless continuous communication, neighboring cells There is a certain overlap area, enabling mobile users to switch from one cell to another.
- a conventional single-layer cell system in order to increase the capacity of the system, it is necessary to increase the capacity of each cell, which usually requires complicated and costly techniques.
- not all places need high capacity. In most cases, only local hotspots are needed, and other areas with less business demand, even if capacity is provided, no user is used. A waste of system resources.
- HetNet Heterogeneous Network in the 3GPP LTE standard
- Macro-cell macro cell
- small cells Pico or Femto, etc.
- the small cells provide 4 ⁇ high capacity for large traffic demand in the hotspot area, thereby achieving "on-demand allocation" of system capacity. From a system perspective, this approach is a more accurate and targeted way of delivering capacity, avoiding wasted system resources.
- HetNet has been considered as an important technical means to improve system capacity in LTE.
- the cloud-RAN (C-RAN, cloud access network) access network architecture was proposed in order to more effectively utilize the computing resources of the base station.
- the C-RAN aggregates the distributed base stations BBUs in one area to form a BBU resource pool.
- the baseband signals corresponding to the RRUs in the area are processed in the same BBU pool, so that the user's mobility in the area is not calculated.
- the utilization of resources has an impact.
- a BBU can be connected to an RRU in a large area through the optical fiber. If the bandwidth and delay of the BBU are allowed, the BBUs in the area can be interconnected to form a BBU resource pool.
- the BBU resource pool centrally processes signals of multiple cells
- another advantage brought by the C-RAN is that it facilitates joint transmission between multiple cells.
- one area and a cell only correspond to one BBU resource pool. All RRUs need to be connected to the BBU resource pool through the optical fiber. Since the physical distance is far away, all the baseband signals must be sent to the BBU resource pool for processing, which requires high optical fiber transmission capability.
- the main advantage of the present invention and the conventional C-RAN architecture is that it greatly saves the bandwidth of the base station connected to the cloud computing node.
- the number of small cells increases, which is several times that of existing macro cells; the frequency band is doubled; the number of antennas increases dramatically, from the current maximum of 4 antennas to dozens or even hundreds of antennas. If you still use the traditional cloud access network architecture, connecting all baseband data directly to a cloud computing center a few kilometers away will be a great challenge for fiber transmission. Summary of the invention
- Embodiments of the present invention provide a communication system and a management method thereof, which can save data transmission bandwidth between base stations and improve resource utilization.
- a communication system including: a wireless transceiver layer, including one or more wireless transceiver node combinations, wherein a wireless transceiver node in each wireless transceiver node combination includes at least a macro cell radio frequency unit, and a micro cell radio frequency remote One of a unit, a micro cell radio frequency and a baseband remote unit; a local computing layer, including one or more local computing nodes, wherein each local computing node is wirelessly transceived in combination with one or a plurality of adjacent radio transceiver nodes The node is connected to perform all communication processing or first part communication processing of a cell corresponding to the combination of the wireless transceiver nodes to which the local computing node is connected; the centralized computing layer includes one or more centralized computing nodes, wherein each centralized computing node And connecting to one or more local computing nodes in the local computing layer, configured to perform, when the local computing node performs the first partial communication processing, to connect the one or more local computing nodes
- a method for managing a communication system including a wireless transceiver layer, a local computing layer, and a centralized computing layer, the wireless transceiver layer including one or more wireless transceiver node combinations, wherein each wireless The wireless transceiver node in the combination of the transceiver node includes at least one of a macro cell radio unit, a micro cell radio remote unit, a micro cell radio frequency and a baseband remote unit; and the local computing layer includes one or more local computing nodes, where Each local compute node with one or Connected to a wireless transceiver node in a plurality of adjacent wireless transceiver node combinations, the centralized computing layer including one or more centralized computing nodes, wherein each centralized computing node and one or more local computing in the local computing layer
- the method is connected to the node, the method includes: the local computing node performing all communication processing or first part communication processing of a cell corresponding to the radio transceiver node in the combination of the radio trans
- a local computing layer is added between the centralized computing layer and the wireless transceiver layer, which is responsible for all or part of the communication processing of neighboring cells within a certain range, without having to hand all processing to a remote computing center for processing. It saves network bandwidth and improves the utilization efficiency of system resources.
- FIG. 1 is a schematic diagram of a network architecture of a communication system in accordance with an embodiment of the present invention.
- FIG. 2 is a schematic diagram of a network architecture of a communication system in accordance with another embodiment of the present invention.
- FIGS. 3A-3B are schematic diagrams of a process of data processing in accordance with one embodiment of the present invention.
- 4 is a schematic diagram of a typical example of a HetNet network architecture in accordance with an embodiment of the present invention.
- FIG. 5 is a schematic flow chart of a method of managing a communication system according to an embodiment of the present invention.
- FIG. 6 is a schematic flow chart of a method of managing a communication system according to another embodiment of the present invention. detailed description
- the computing resources of the BBU are layered to enable localized, small-range BBUs. Concentration is combined with globalization and a large range of BBUs.
- a wireless transceiver unit for example, a macro cell radio unit, a micro cell RRU or a micro cell BRU (baseband and radio unit)
- the radio transceiver unit is connected to both the local computing node and the local computing node. Connect to a larger range of compute nodes.
- the micro cell BRU may have radio frequency processing functions of the RRU and certain communication processing functions (eg, baseband data compression, baseband and upper layer communication protocol processing). Therefore, the communication system of the embodiment of the present invention supports adaptive scheduling between the local computing node and the centralized computing node for the computing resource and the joint processing according to the user distribution, the amount of data, and the interference situation.
- connection medium for example, air interface, optical fiber, digital subscriber line, microwave or Power line connections, etc.
- connection medium for example, air interface, optical fiber, digital subscriber line, microwave or Power line connections, etc.
- connection methods are all within the scope of the embodiments of the present invention.
- FIG. 1 is a schematic diagram of a network architecture of a communication system in accordance with an embodiment of the present invention.
- Fig. 1 in order to show the system architecture of the embodiment of the present invention, only one network element is depicted for each network element, but the embodiment of the present invention is not limited thereto.
- the number of various network elements can be increased, decreased or deleted as needed, and these modifications are all within the scope of the embodiments of the present invention.
- the wireless transceiver layer 110 is located at the lowest layer of the access network architecture, and performs wireless signal transmission through the air interface with the user equipment.
- the wireless transceiver layer 110 includes one or more wireless transceiver node combinations 115.
- the radio transceiver node in the radio transceiver node combination 115 includes at least one of a macro cell radio unit 116, a micro cell radio remote unit RRU 117, a micro cell radio frequency, and a baseband remote unit BRU 118.
- the radio transceiver nodes 116-118 perform at least the radio frequency processing functions of the base station, for example, for LTE, including baseband data framing/demapping (such as CPRI framing/demapping), peak-to-peak ratio, digital pre-distortion, up/down Frequency conversion, ADC/DAC (analog/digital to analog conversion), amplifier, duplexer, etc.
- baseband data framing/demapping such as CPRI framing/demapping
- peak-to-peak ratio such as CPRI framing/demapping
- digital pre-distortion digital pre-distortion
- up/down Frequency conversion such as ADC/DAC (analog/digital to analog conversion)
- amplifier duplexer, etc.
- wireless transceiver layer of an embodiment of the present invention may include a plurality of wireless transceiver node combinations 115.
- the wireless transceiver node assembly 115 of FIG. 1 is depicted as including three wireless transceiver units 116-118, but each wireless transceiver node assembly 115 of an embodiment of the present invention may include one of the three wireless transceiver units 116-118 or Two or all, and the number of any of the wireless transceiver units 116-118 in each of the wireless transceiver node combinations 115 may be multiple.
- radio transceiver unit 116-118 is used hereinafter to refer to a wireless transceiver unit included in any combination of radio transceiver nodes 115, which may be representative of wireless reception.
- One or more of the transmitting units 116-118, the number of each wireless transceiver unit may be one or more.
- the local computing layer 120 is located on top of the wireless transceiver layer 110 and includes one or more local computing nodes 125.
- the local computing layer 120 is a computing layer directly coupled to the wireless transceiver units 116-118, each local computing node 125 being coupled to a wireless transceiver node 116-118 of one or a plurality of adjacent wireless transceiver node combinations 115 for execution All communication processing or first partial communication processing of the cell corresponding to the radio transceiver node combination 115 to which the local computing node 120 is connected.
- the cell corresponding to the radio transceiver node combination 115 refers to the cell served by the radio transceiver units 116-118 in the radio transceiver node combination 115.
- the distance between the local computing layer 120 and the wireless transceiver layer 110 is typically in a relatively short range, such as within a macro cell.
- the local compute node 125 can be connected to multiple microcells BRU/RRIL that are continuously covered in a shorter range.
- the local computing node 125 of the embodiment of the present invention may be associated with one or more adjacent ones.
- the wireless transceiver nodes 116-118 in the wireless transceiver node assembly 115 are connected.
- the number of wireless transceiver nodes in the combination of wireless transceiver nodes connected to the local computing node, and the number of connected wireless transceiver nodes, can be determined based on the network configuration.
- the centralized computing layer 140 is located at the top level of the system architecture and includes one or more centralized computing nodes 145.
- the centralized computing node 145 is coupled to a local computing node 125 within a larger range, such as to a local computing node 125 corresponding to a plurality of macro cells.
- the distance between the centralized computing layer 140 and the local computing layer 120 is generally relatively far.
- the centralized computing node 145 is coupled to one or more local computing nodes 125 of the local computing layer 120 for performing the one or more local computing nodes 125 in the event that the local computing node 125 performs the first partial communication process
- first part of the communication process and the second part of the communication process may be performed simultaneously. In another embodiment, the first part of the communication process and the second part of the communication process may also be performed at different times, and the embodiment of the present invention does not Special restrictions.
- the centralized computing layer 140 of an embodiment of the present invention may include a plurality of centralized computing nodes 145.
- the centralized computing nodes 145 can be connected to each other.
- a local computing layer is added between the centralized computing layer and the wireless transceiver layer, which is responsible for All or part of the adjacent cells in a certain range of communication processing, without having to hand all the processing to the remote centralized computing node processing, saving network bandwidth and improving the utilization efficiency of system resources.
- FIG. 2 is a schematic diagram of a network architecture of a communication system in accordance with another embodiment of the present invention.
- Fig. 2 the same portions as those of Fig. 1 are denoted by the same reference numerals.
- the intermediate computing layer 130 can be added between the local computing layer 120 and the centralized computing layer 140. Although only one intermediate computing layer 130 is shown in FIG. 2, embodiments of the present invention may include multiple intermediate computing layers.
- the intermediate computing layer 130 is comprised of intermediate computing nodes 135, each intermediate computing node 135 for performing a combination of wireless transceiver nodes to which the local computing node (e.g., 125-2 in FIG. 2) to which the intermediate computing node 135 is connected (e.g., The entire communication processing or the third partial communication processing of the cell corresponding to the radio transceiver node (e.g., the radio transceiver node 116-118 included in 115-2 in Fig. 2) in Fig. 2).
- the entire communication processing further includes the third partial communication processing described above.
- the third partial communication process, the first partial communication process, and the second partial communication process may be performed simultaneously, in another embodiment, the third partial communication process, the first partial communication process, and the second partial communication process are also The embodiments of the present invention are not particularly limited.
- centralized computing node 145 can be coupled to wireless transceiver units 116-118 in wireless transceiver unit assembly 115 in a variety of manners.
- the centralized computing node 145-1 is directly coupled to the local computing node 125-1, and the local computing node 125-1 is directly coupled to the wireless transceiver unit 116-118 in the wireless transceiver unit combination 115-1.
- the centralized computing node 145-1 is coupled to the local computing node 125-2 via one or more intermediate computing nodes 135, and the local computing node 125-2 is directly coupled to the wireless transceiver unit 116 in the radio transceiver unit 115-2. 118 connected.
- the wireless transceiver unit 116-118 is connected to the local computing node 125 in the network architecture of the embodiment of the present invention, and then connected to the centralized computing node 145 through the local computing node 125, the embodiment of the present invention may further adopt the traditional C-RAN.
- centralized computing node 145-2 is directly coupled to wireless transceiver units 116-118 in wireless transceiver unit assembly 115-3.
- the micro cell RRU/BRU is located at the junction of two macro cells, from the perspective of resource scheduling and interference management, Users of micro cells usually need to work in conjunction with multiple macro base stations. Then the micro area RRU/BRU can be directly connected to the centralized computing node.
- the micro base station side has a partial baseband processing function, which is equivalent to the micro base station RRU being connected to a co-sited micro-computing node.
- the BRU 118 can perform the fourth part of the communication processing of the cell corresponding to the BRU.
- the central computing nodes 145 can be connected to each other.
- the centralized computing node 145 can transfer the fifth partial communication processing to other centralized computing nodes for execution by task scheduling.
- the all communication processing further includes the fourth partial communication processing and/or the fifth partial communication processing described above.
- the fifth partial communication process, the fourth partial communication process, the third partial communication process, the first partial communication process, and the second partial communication process may be performed simultaneously, and in another embodiment, the fifth part communication process
- the fourth part of the communication processing, the third part of the communication processing, the first part of the communication processing, and the second part of the communication processing may also be performed at different times, and the embodiment of the present invention is not particularly limited.
- the interfaces between the various network elements in the embodiment of the present invention are described below. As shown in FIG. 2, between the macro cell radio unit 116 and the local computing node 125-1/125-2, between the cell RRU 117 and the local computing node 125-1/125-2, the macro cell radio unit 116, and the centralized calculation Between nodes 145-2, between microcell RRU 117 and centralized compute node 145-2, they are connected by a first type of interface C1.
- the first type of interface C1 is used to transmit baseband data and control status messages, for example to provide synchronization and corresponding control management functions.
- the first type of interface C1 can be implemented using protocols such as CPRI between the existing distributed base station BBU and the RRU.
- the second type of interface C2 is connected.
- the second type of interface C2 is used to transmit baseband data, data packets, and control status messages, such as computing task and control information for computing nodes between upper and lower layers.
- the second type of interface C2 can be considered by the combination of the existing interface protocol CPRI and X2, Iur, Iub.
- the centralized computing node 145-1/145-2 and the core network 200 are connected by a third type of interface C3.
- the third type of interface C3 is used to transmit data packets and control status messages.
- the third type of interface C3 can be implemented by considering the functions of the existing Sl and Iu interfaces.
- the communication processing required to be performed by the centralized computing layer 140 can be further reduced by the intermediate computing layer 130, the bandwidth requirement is reduced, and the utilization of system resources is improved.
- the communication processing in the embodiment of the present invention refers to processing related to wireless network communication, including but not limited to data processing, joint interference management processing, joint resource scheduling processing, joint computing task scheduling processing, multi-standard baseband signal and upper layer protocol joint processing or Joint transmission, working mode, or joint control of open and close states.
- the main reference is to a three-layer network architecture (145-1 to 125-1 to 115-1 in Figure 2) that does not include an intermediate computing layer or a four-layer network architecture that includes an intermediate computing layer (in Figure 2 145-1 to 135 to 125-2 to 115-2) describe the operation of each network element.
- embodiments of the present invention can be similarly applied to scenarios involving more intermediate computing layers, where each intermediate computing layer processes some or all of the communication processing of cells served by the wireless transceiver unit to which it is connected (directly connected).
- 3A-3B are schematic diagrams of a process of data processing in accordance with one embodiment of the present invention.
- 3A is a schematic diagram showing an example of uplink data processing
- FIG. 3B is a schematic diagram showing an example of downlink data processing.
- each computing node performs a shunting process on the received data to distinguish between data that the computing node needs to process and data that is not processed by the computing node.
- the data that the non-book computing node needs to process may include data that has been processed by the previous layer computing node and/or data that needs to be processed by the next layer computing node.
- the compute nodes centralized compute nodes 145) and the underlying compute nodes (local compute nodes 125) at the top of the network architecture, the data for completing the communication processing needs to be aggregated.
- the local computing node 125 when uplinking, the local computing node 125 offloads the data D from the wireless transceiver unit.
- data D is unprocessed baseband data and control information.
- the baseband and/or L2 processing of the data D1 that needs to be processed at the local computing node 125 is then completed, and the data packet P1 generated after processing D1 and the data D2+D3 that needs to be processed by the intermediate computing layer 130 and the top-level computing layer 140 are transmitted to the middle.
- the intermediate computing node 125 in the computing layer 130 that is connected to the local computing node 125 (if there is no intermediate computing layer, is directly transmitted to the centralized computing node 145 in the centralized computing layer 140 that is connected to the local computing node 125).
- the local computing layer is the most important functional node for reducing the transmission bandwidth in the embodiment of the present invention.
- the operation of the local compute node 125 at this time can be similar to the operation of the intermediate compute node 135 described below.
- the intermediate computing node 135 in the intermediate computing layer 130 splits the data from the lower node (which may be the local computing node 125 or the lower intermediate computing node) in the uplink, and distinguishes the data D2 that needs to be processed in the layer and does not need The data P1 and D3 processed in this layer.
- the intermediate computing node 135 performs baseband and/or L2 processing on the data D2, and transmits the processing result P2 (data packet) of the layer, and the data D3 that needs to be processed by the upper layer computing layer and the data P1 that has been processed by the computing node 125 to
- the upper intermediate compute node if there is an upper intermediate compute node or the centralized compute node 14 5 (if there is no upper intermediate compute node).
- the centralized computing layer 140 is a computing layer that is directly connected to the core network. In the uplink, the centralized computing node 14 of the centralized computing layer 140 performs the shunting of the calculated data, distinguishes the data D3 that needs to be processed by the centralized computing node 145 and the data that does not need to be processed by the centralized computing node 145 (for example, the data processing has been completed by the lower computing node). The resulting packets P1 and P2).
- the centralized computing node 145 completes the joint processing of the lower layer uncompleted baseband data D3 and the L2 processing, and aggregates the processing result P3 (data packet) and the data packets P1 and P2 generated after the lower layer has been processed into the data packet P, and Packet P is transmitted to the core network.
- the intermediate computing node 135 divides the data from the upper node (which may be the centralized computing node 145 or the intermediate computing node of the upper layer), and distinguishes the data P2 that needs to be processed in the layer and the data D1 and P3 that do not need to be processed by the layer. .
- the intermediate computing node 135 performs L2 and baseband processing on the data P2, and transmits the processed result D2 (baseband signal and control message) and the data P3 that needs to be processed by the lower layer computing node and the data D1 that has been processed by the centralized computing node 145 to the lower layer.
- the intermediate compute node (if there is a lower intermediate compute node) or the local compute node 125 (if there is no lower intermediate compute node).
- the local computing node 125 offloads the data from the upper computing node, distinguishes the partial data packet P3 that the local computing node 125 needs to process, and the data that the local computing node 125 does not need to process (for example, the baseband generated after the upper computing node has completed processing) Signal and control message D1 And D2).
- the local computing node 125 then completes the processing of the upper layer uncompleted packet P3, and aggregates the processing result D3 (baseband signal and control message) and the baseband signal and control messages D1 and D2 from the upper layer into a baseband signal and a control message D, and then D is transmitted to the wireless transceiver unit.
- computing nodes When computing nodes perform data offloading, they can comprehensively determine the proportion of data offload based on factors such as computing power of compute nodes, bandwidth between nodes, data processing requirements (processing speed requirements, delay requirements, processing requirements, etc.).
- the local computing node 125 can directly separate the data D1 that needs to be processed by the local layer, the data D2 that needs to be processed by the intermediate computing node 135, and the data D3 that needs to be processed by the centralized computing node 145, but the embodiment of the present invention Not limited to this.
- the local computing node 125 may not distinguish between D2 and D3, but only the data D1 that needs to be processed by the layer and the data D2+D3 that does not need to be processed by the layer, and then the intermediate computing node 135 distinguishes D2 and D3 according to the requirements.
- the centralized compute node 145 may not distinguish between P2 and P3.
- the computing nodes of other layers do not aggregate data, but separately transmit various data, for example, data generated after the layer processing, the previous layer has been processed.
- the data and the data that needs to be processed in the next layer are not limited thereto.
- the data to be transmitted can be aggregated and transmitted.
- the communication processing that the hierarchical network architecture of the embodiment of the present invention can perform may also include joint interference management processing.
- joint interference management processing For example, for user equipment at the cell junction, if joint processing can be performed between adjacent cells, the throughput of the user equipment will be effectively improved.
- the embodiment of the present invention adopts a layered adaptive manner in the joint interference management process.
- the basic principle of the joint interference management process is that the upper-layer computing nodes common to both parties interfere with the interference.
- the joint interference management process of the embodiment of the present invention is described in conjunction with the system architecture of FIG.
- the local computing node 125 preferentially performs communication processing of the user equipment without significant interference in the cell corresponding to the wireless transceiver nodes 116-118 in the wireless transceiver node combination 115 connected to the local computing node 125 or only from the local computing node
- the interference of the cells corresponding to the other radio transceiver nodes 116-118 in the connected radio transceiver node combination 115 e.g., interfered with by the other radio transceiver nodes 116-118 or served by the other radio transceiver nodes 116-118) Interference of the user equipment of the UE).
- the local computing node 125-1 preferentially performs communication processing of the user equipment without significant interference in the cell corresponding to the radio transceiver node combination 115-1 or only by the radio transceiver node 116-118 in the radio transceiver node combination 115-1. Corresponding cell interference Interference handling of user equipment.
- the intermediate computing node 135 preferentially performs interference processing of the user equipment in the cell corresponding to the wireless transceiver node in the combination of the lower intermediate computing node or the local computing node connected to the intermediate computing node 135, wherein the user equipment is subjected to interference processing. Interference from a cell corresponding to a radio transceiver node in a combination of other lower intermediate computing nodes or local computing nodes associated with the intermediate computing node. As an example of a case where an intermediate computing node 135 connects a plurality of local computing nodes, the intermediate computing node 135 preferentially processes interference between the plurality of local computing nodes.
- the centralized computing node 145 preferentially performs interference processing of the user equipment in the cell corresponding to the wireless transceiver node in the combination of the lower intermediate computing node or the local computing node connected to the centralized computing node 145, wherein the user equipment is subjected to interference processing. Interference from a cell corresponding to a radio transceiver node in a combination of radio transceiver nodes associated with other lower intermediate computing nodes or local computing nodes connected to the centralized computing node. Taking the architecture of FIG.
- the upper computing node shared by them ie, the centralized computing node 145-1 performs the processing of the interference.
- Interference processing performed by local computing nodes, intermediate computing nodes, and centralized computing nodes may include joint interference cancellation, joint time-frequency resource coordination, joint power control, and coordinated multi-point (CoMP) between multiple base stations. .
- CoMP coordinated multi-point
- the HetNet network architecture includes a centralized compute node 245 and two local compute nodes 225a and 225b.
- the local computing node in the HetNet network architecture is typically set at the macro base station, for example, co-site with the macro cell RRU; the local computing node may also be set in an area composed of multiple adjacent macro base stations, for example, connected to multiple macro cell RRUs. .
- the communication processing of the local computing node includes: 1) The "computation task package" can be flexibly divided into different loads according to the user, uplink/downlink, macro/Pico, etc., so that the system can be adaptive between the centralized computing node and the local computing node as needed. Assign processing load; 2) Complete baseband signal processing tasks suitable for local computing nodes: all baseband processing of local Macro/Pico, user signals that do not interfere with other Macro/Pico; 3) Responsible for local Macro/Pico baseband signal preprocessing (such as FFT, Mapping/De-mapping, Precoding, etc.) or signal compression processing; 4) Multi-standard unified processing and joint transmission through Software Defined Radio (SDR).
- SDR Software Defined Radio
- the local computing node 225a is associated with a combination of radio transceiver units consisting of a macro cell RRU 215a, a micro cell RRU 215b, and a micro cell BRU 215c, wherein the local computing node 225a and the macro cell RRU 215a
- the co-site, micro cell RRU 215b and micro cell BRU 215C are within the coverage MC1 of the macro cell RRU 215a.
- Local computing node 225b is associated with a combination of radio transceiver units consisting of macro cell RRU 215d, micro cell RRU 215e, and micro cell BRU 215f, where local computing node 225b is co-sited with macro cell RRU 215d, micro cell RRU 215e and micro cell
- the BRU 215f is within the coverage MC2 of the macro cell RRU 215d.
- the local compute nodes 225a/225b of each macro cell are connected to a centralized centralized compute node 245. This forms an upper-level cloud computing architecture in a larger area.
- a centralized computing node can be connected to more local computing nodes, and each local computing node can also be connected to more macro cell RRUs.
- Each macro cell can have no micro cell RRU or micro cell BRU, micro cell RRU/BRU. The number may also be added or deleted as needed, and these modifications are all within the scope of the embodiments of the present invention.
- the local computing nodes 225a and 225b are collectively referred to as a local computing node 225 without distinguishing from each other, and the macro cell RRU 215a, the micro cell RRU 215b, the micro cell BRU 215c, the macro cell RRU 215d, and the micro cell RRU 215e.
- the micro cell BRU 215f is collectively referred to as a radio transceiver unit 215.
- each radio transceiver unit is first connected to the local computing node 225, and then connected to the upper layer centralized computing node 245 through the local computing node 225, but there is no interface between the local computing nodes 225, and the radio transceiver units are also Not connected. Since the X2 interface is standardized without considering multi-point cooperative CoMP, the bandwidth and delay of the X2 interface cannot meet the requirements of multi-point cooperation and joint processing. In the embodiment of the present invention, there is no logical interface between the base stations, and the multi-point cooperation and the joint office are completed by the upper layer computing node. In addition, in the embodiment of the present invention, the RNC is cancelled, and the data processing and joint scheduling performed by the RNC in the UMTS system are completed in the upper computing node.
- processing on all compute nodes is implemented in software.
- Different wireless systems can be processed by using different virtual machines or different processes on the unified operating system platform, and G/U/L/WiFi can be realized at the same time, and joint transmission of multiple standards can be supported.
- the HetNet architecture of FIG. 4 is merely exemplary.
- the embodiment of the present invention is not limited thereto.
- the number, location, and number of layers of computing nodes may be modified as needed, or one or more intermediate computing nodes may be added.
- the HetNet architecture of Figure 4 can be used in conjunction with a microcell continuous coverage architecture, i.e., some local compute nodes 225 can be connected to multiple microcell BRUs/RRUs that are continuously covered over a smaller range.
- the interference received by the user equipment can be classified into the following types: 1) User equipment without significant interference UE:
- UEs with no significant interference in the macro cell MC1/MC2 typically, such UEs are located in the central area of the local macro cell. Since the UE is far away from the adjacent macro cell, the UE is subject to little interference from the neighboring macro cell; and these UEs are far away from the hotspot region in the same macro frequency band using the same frequency band, so the interference from the micro cell is also small.
- UEs with no significant interference in the microcell typically such UEs are located at the center of an isolated hotspot area. Since it is an isolated hotspot area, it is subject to little interference from other micro cells in the macro cell; since the UE is located at the center of the micro cell, it is relatively less interfered by the macro cell.
- the communication processing of such user data is preferentially executed at the local computing node.
- the interference source which is processed by the local computing node 225 and processed by the centralized computing node 245.
- Type l The UE in the micro cell that is only interfered by the macro cell.
- the UE is located at the edge of the micro cell, and there are no other micro cells around the UE.
- the signal is only interfered by the local macro cell signal.
- interference joint processing it only needs to be performed between the micro cell and the macro cell in which it is located. For example, if the UE served by the micro cell RRU 215b is only interfered by the macro cell MC1 in which it is located, the interference processing of the UE is performed by the local computing node 225a.
- Type 2 The macro cell UE located at the edge of the micro cell, whose interference originates from the adjacent micro cell. In the case of interference joint processing, it is only required to be performed between the macro cell and the micro cell that generates large interference with the UE. For example, if the UE served by the macro cell RRU 215a is interfered by the micro cell RRU 215b, the interference processing of the UE is performed by the local computing node 225a.
- Type 3 If two microcells are very close together, the users at their junctions will be subject to interference from the other two cells regardless of whether they belong to the macrocell or one of the microcells.
- the UE served by the macro cell MC1 is simultaneously interfered by two neighboring micro cells (ie, interfered by the micro cell RRU 215b and the micro cell BRU 215c); the UE served by the micro cell RRU 215b is simultaneously subjected to Interference from macro cell RRU 215a and micro cell BRU 215c; UE served by micro cell BRU 215c is simultaneously interfered by macro cell RRU 215a and micro cell RRU 215b.
- interference joint processing it is required to be performed between the macro cell and the two adjacent micro cells.
- the interference processing is performed by the local computing node 225a.
- Type 4 UEs served by macro cells (such as MC1 and MC2) on the edge of several macro cells (such as MC1 and MC2), when there are no micro cells around, the interference mainly comes from the surrounding neighboring macro base stations (MC2 or MC1), located in the non-hotspot area of the macro cell, the signal is mainly interfered by the neighboring macro cell. Since the local computing node is located in the local macro cell, the local computing node cannot perform joint interference processing on users of several surrounding macro cells. Therefore, such UEs send their data to the centralized computing node 245. Since the centralized computing node 245 is responsible for macro cells and micro cells in a larger area, it can perform joint interference processing on signals of several different macro cell users. For example, if the UE served by MC1 is interfered by the macro base station of MC2, the interference is processed by centralized computing node 245.
- Type 5 If a hotspot area is located at the junction of several macro cells, the user at the edge of the micro cell, whether it belongs to the micro cell or one of the macro cells, will be subject to other small District interference.
- the UE served by the micro cell RRU 215e is interfered by the macro base station of the neighboring macro cells MC1 and MC2; the UE served by the macro cell MC1 is interfered by the macro cell BRU 215c and the macro cell of the macro cell MC2; the user of the macro cell MC2 receives a small Interference from the regional RRU 215e and the macro base station of the macro cell MC1.
- the local cloud access network architecture cannot perform joint interference processing on users of several surrounding macro cells. So like Type 4, such UEs send their data to the upper level centralized compute node 245. Since the upper layer cloud access network architecture is responsible for macro cells and micro cells in a larger area, it can perform joint interference processing on signals of several different macro cells and micro cell users.
- the centralized computing node 245 For users who prioritize joint interference processing at the centralized computing node 245, their data is preferentially processed by the upper computing nodes in the cloud access network architecture. Since their interference source is between the macro cell and the micro cell under several local cloud access network architectures, in order to improve system performance, it is desirable to perform joint processing at the centralized computing node 245. Since the number of users at the intersection of several lower-level cloud access network architectures is not too large, the data uploaded to the upper-layer cloud access network architecture for joint processing is limited, and does not cause too much load on the baseband signal transmission network.
- the network side may allow the UE to periodically measure the reference signal strength and reception delay of the surrounding RRU/BRU. If multiple RRU/BRU strengths and delays are found to be similar, the user data is moved up to the upper compute nodes common to these RRU/BRUs. Conversely, if it is found that the UE processed by the upper layer computing node measures the difference between the adjacent RRU/BRU reference signal strengths, for example, if only one or a few of the strengths are large, the signal processing of the UE is moved down to the RRU/BRU corresponding. The underlying compute node.
- the lowest-level computing node (micro-computing node or local computing node) performs FFT when receiving data output by the radio unit, and separates the corresponding micro-computing node (if there is a BRU) and local.
- the compute node and the resource block (RB, Resource Block) processed by the centralized compute node.
- the compute nodes of each layer process the corresponding baseband data, and transmit the baseband data processed by the upper layer to the upper compute node.
- the centralized computing node divides the packets from the core network into centralized computing nodes, local computing nodes, and microcomputing nodes (if there are BRUs) for processing.
- the baseband data and control information after each layer is processed is combined at the lowest computational node (local computing node or microcomputing node) for processing by the radio unit into a transmitted signal.
- CDMA Code Division Multiple Access
- data of different users is loaded on mutually orthogonal code sequences, and the layered processing method can be analogized to The method of distinguishing users by time-frequency resource blocks is not described here.
- the communication processing performed by the communication system of the embodiment of the present invention may include joint resource scheduling processing, and resource scheduling between adjacent cells, while reducing inter-cell interference, improving resource utilization and system performance.
- resource management is performed on different layers of networks according to different user positions, and each layer of computing nodes is responsible for resource scheduling in different situations.
- the principle of the joint resource scheduling process is to perform resource scheduling of the user equipment by a local computing node, an intermediate computing node, or a centralized computing node that can be associated with the wireless transceiver unit capable of serving the user equipment.
- local computing node 125 performs resource scheduling between cells corresponding to wireless transceiver nodes 116-118 in wireless transceiver node combination 115 that is connected (directly connected) to local computing node 125.
- the intermediate compute node 135 performs resource scheduling between cells corresponding to the radio transceiver nodes 116-118 in the radio transceiver node combination 115 that is connected (indirectly connected) to the intermediate compute node 135.
- the centralized compute node 145 performs resource scheduling between cells corresponding to the radio transceiver nodes 116-118 in the radio transceiver node combination 115 that is connected (directly or indirectly) to the centralized compute node 145.
- the local computing node 225 mainly performs local Macro-Pico joint resource scheduling.
- the interference with other macro cells is small, and basically the localized scheduling and control of the resources can be basically performed, and only the local Macro-Pico joint is required.
- Resource Scheduling Since Macro-Pico joint scheduling can be adopted, the traffic channel resources of the micro cell can be multiplexed with the macro cell; for different micro cells with distant distances, the interference between them is small, and the control and traffic channel resources can be independently scheduled.
- the local computing node 225a can complete the Macro-Pico joint resource scheduling within the MC1 coverage
- the local computing node 225b can complete the Macro-Pico joint resource scheduling within the MC2 coverage.
- the centralized computing node 245 mainly completes the global Macro-Pico joint resource scheduling.
- the macro cell edge UE and the UE located in the micro cell at the edge of the macro cell there is a certain mutual interference with other macro cells, and therefore global resource scheduling is required for such UE.
- the micro cell RRU 215e is located at the coverage boundary of the macro cells MC1 and MC2.
- the resource allocation in the micro cell RRU 215e may be scheduled by the central computing node 245 to reduce inter-cell interference. .
- the local computing node completes resource allocation at the junction between the micro cell and the macro cell in the macro cell.
- the frequency domain resources are divided into three parts: fl, f2, and f3. Used by two micro cells in the junction and edge UEs of the macro cell.
- the specific proportion of each frequency domain resource is determined by the number of users at the edge of each cell and the amount of business data.
- the centralized computing node 245 performs resource allocation among multiple underlying cloud architectures.
- the centralized computing node 245 is responsible for the frequency domain resources of the edge UEs of the microcells in the vicinity of the intersection of the two macrocells MC1 and MC2 and the macrocell (for example, the cell covered by the microcell RRU 215e). Distribution.
- the frequency domain resources are divided into three parts: fl, f2, and f3, which are respectively used by edge UEs of two macro cells and micro cells.
- the specific proportion of each frequency domain resource is determined by the number of users at the edge of each cell and the amount of traffic data.
- the resources scheduled by the local computing node, the intermediate computing node, and the centralized computing node are configured to be different from each other. This is a multi-level scheduling based on frequency/time/space, without changing the existing standard data processing flow.
- the upper-layer computing node performs joint scheduling on a certain time/frequency/airspace resource according to the UE that needs to perform joint processing in the lower layer coverage.
- the other nodes of the lower computing node are scheduled and scheduled on the remaining time/frequency/space resources of the upper layer.
- the resources of the upper layer for upper layer joint scheduling must be limited to a certain range, and dynamic according to the actual UE distribution and data volume.
- the resource scheduling is performed preferentially by the computing node located at the upper layer. This scheduling is performed uniformly by the upper layer and can optimize the throughput of the entire network.
- Channel information of all user equipments such as SRS (Sounding Reference Signal), Channel Condition Indicator (CQI), PMI (Precoding Matrix Indicator) / RI ( Rank Indicator, rank) Indications, etc., are transferred to the compute nodes located on the upper layer. Because the user data has to go through the upper computing node, the upper computing node has the current and past user data rate information when scheduling, so as to ensure the fairness of the scheduling. If the computing power of the upper computing node is reluctant, the computational load of the unified upper user scheduling is also acceptable.
- SRS Sounding Reference Signal
- CQI Channel Condition Indicator
- PMI Precoding Matrix Indicator
- RI Rank Indicator, rank
- the distance between the local computing node and the local macro cell RRU and the micro cell RRU/BRU is very close. Taking a macro cell with a station spacing of 500 meters as an example, the distance between the local computing node and the remote micro area RRU is about 200 meters.
- Such a plurality of other short-distance connection media between the transceiver node and the local computing node, between the local computing node and the intermediate computing node, or between the intermediate computing nodes of the upper and lower layers can be passed according to specific conditions. Fiber, Digital Subscriber Line (DSL), microwave or power line connection. Therefore, the hierarchical structure greatly reduces the topology of the baseband signal transmission network and effectively reduces the transmission cost.
- the connection medium between the nodes can be determined based on factors such as node computing power, inter-node distance, inter-node transmission bandwidth requirements, and/or inter-node transmission delay requirements.
- digital subscriber line DSL twisted pair, copper wire, etc.
- microwave, power line communication and other technologies can achieve a transmission rate close to Gbps in the range of 200 meters, which can be used to replace the fiber for transmission of local short-range signals.
- the fiber connection can still be used because the relative number is small and the distance is far.
- the cloud access network of each layer uses different physical media for the baseband signal transmission network.
- the network architecture proposed in the embodiment of the present invention can adaptively allocate computation load according to the bandwidth of the transmission network of the baseband signal.
- the processing load can be moved up to the upper computing node to refine the configuration of the local computing node; when the available transmission bandwidth is small, the processing load is more distributed to the local computing node.
- the communication process performed by the communication system of an embodiment of the present invention may further include the ability of the joint computing task to invoke computing resources.
- a centralized computing node connected between a local computing node and an intermediate computing node connected to the local computing node, between intermediate computing nodes connected by upper and lower layers, between an intermediate computing node and a centralized computing node connected to the intermediate computing node Between the calculation tasks based on computational load, computing power, transmission bandwidth, and transmission delay.
- the baseband data corresponding to the RRU in the local macro cell is preferentially processed at the local computing node, if the local computing node has limited processing capability, or is caused by the tidal effect of the user equipment.
- the computational load of the compute node is too large, and the local compute node can hand over a portion of the signal to the upper compute node for processing, such as an intermediate compute node or a centralized compute node.
- the upper computing node is responsible for balancing the computing load of the local computing node in a large range. When its own computing load is too large, it can decentralize part of the computing work to the local computing node for processing.
- the scheduling of the computing tasks can be placed in the upper computing nodes for centralized scheduling, or placed on the computing nodes of each layer. Distributed scheduling.
- each local computing node 225 can periodically report the current computational load to the upper centralized computing node 245.
- the centralized computing node 245 decides whether to move some of the computing tasks of some local computing nodes to the centralized computing node.
- the centralized computing node 245 then returns a scheduling instruction to each local computing node 225 indicating whether a portion of the computing task is to be moved up and the amount of computing tasks that need to be moved up.
- the transfer of computing tasks is scheduled by the compute node based on requests from other compute nodes.
- local compute node 225 and centralized compute node 245 are equal.
- a computing task upload request message is sent to the centralized computing node 245, and the request message includes the amount of computing tasks that are desired to be moved up.
- the centralized computing node 245 receives the request message reported by each local computing node 225, according to its own computing resource idle situation, and coordinating the application requirements of each subordinate local computing node 225, the computing resource uplink request sent by each local computing node 225 The message is fed back.
- the feedback message includes whether or not to agree to its calculation task upshift, and the amount of computational tasks that can be moved up.
- the computing task drop request message may also be sent to the lower layer local computing node 225 by polling or randomly selecting, or the computing task transfer request message may be sent to other centralized computing nodes ( For example, regarding the transfer request of the fifth part communication processing described above;), the two request messages include the amount of calculation tasks that are desired to be transferred.
- the local computing node 225 or the centralized computing node 245 that receives the request message returns a scheduling instruction to the requesting centralized computing node 245 according to its own computing resource idle condition, indicating whether to transfer part of the computing task, and the amount of computing tasks that need to be transferred. .
- the wireless transceiver node combination can include a variety of wireless transceiver nodes.
- the communication processing performed by each of the computing nodes of the embodiment of the present invention may include a plurality of types of communication processing and/or joint communication processing between a plurality of standards.
- the radio frequency part, up/down conversion, filtering and baseband processing of the traditional analog radio system are all adopted.
- the communication system of a certain frequency band and a certain modulation mode corresponds to a special hardware structure; while the low frequency part of the digital radio system uses a digital circuit, but the radio frequency part and the intermediate frequency part are still inseparable from the analog circuit.
- the A/D and D/A conversion of the software radio is moved to the intermediate frequency, and the whole system is sampled as close as possible to the radio frequency. This is a prominent feature of the software radio.
- the digital radio uses a dedicated digital circuit to achieve a single communication function without programming.
- the software radio replaces the dedicated digital circuit with a programmable DSP (Digital Signal Processing) device, which makes the system hardware structure and function relatively independent. In this way, based on a relatively common hardware platform, different communication functions can be realized through software, and the operating frequency, system bandwidth, modulation mode, source coding, etc. are programmed and controlled, and the system flexibility is greatly enhanced.
- DSP Digital Signal Processing
- each computing node is composed of a high-performance CPU or CPU array and a DSP
- the same computing node can support baseband signals and upper layer protocol processing of multiple RRUs of different standards. This will bring a series of benefits: Different standards for the same processing unit, network architecture, reduce network construction costs; facilitate system or base station upgrades, only need to update the computing node software to complete, which makes the existing spectrum The refarming of resources becomes easy to operate.
- the local computing node will offload the data to different systems for transmission according to the actual conditions (wireless link conditions, network load, etc.) on different systems.
- the local computing node, or the intermediate computing node, or the centralized computing node aggregates the data on different systems.
- this SDR-based and centralized processing method of course supports joint transmission of multiple standards.
- These multi-standards can be G/U/L/WiFi, and multi-standard joint transmission can be performed on different protocol layers, such as PHY (physical layer), MAC (Media Access Control, media access control), RLC (Radio Link Control). , wireless link control) and more.
- the computing node can perform unified scheduling on the joint transmission of multiple standards.
- the baseband signal processing of both the local micro base station and the macro base station is centralized to the local compute node 225.
- the network configuration can be adaptively implemented between the micro base station and the macro base station, and has a more flexible access network architecture than the traditional HetNet.
- the communication processing of the embodiment of the present invention may include joint control of an operation mode or an open/close state of the micro cell RRU and/or the micro cell BRU in the combination of the radio transceiver nodes.
- the Pico microcell can be flexibly and adaptively configured into the following three forms: 1) Configured as a separate microcell with its own Cell ID and all control/data channels; 2) Configured as Acer Station Relay Station (RN, relay station), for the common in-band transmission mode, the RN is connected to the access network wirelessly through the host eNodeB, and the used frequency band shares the same frequency band with the link between the RN and the terminal; 3)
- the distributed antenna of the macro base station transmits/receives part or all of the wireless base station by SFN (Single Frequency Network) or other spatial coding methods (such as SFBC (Space-Frequency Block Codes)) signal.
- SFN Single Frequency Network
- SFBC Spa-Frequency Block Codes
- the number/mode of the micro cell RRU or BRU can be adaptively configured according to different scenarios.
- the micro cell RRU or BRU can be adaptively configured to the above three different working modes as needed.
- the micro area RRU or BRU can be opened when the number of users is large, and the micro area RRU or the small area is closed when the number of users is small. BRU. It is also possible to adaptively open and close the micro cell RRU or BRU based on factors such as the available bandwidth or load of the transmission resource.
- a micro', zone RRU or BRU site may be added, such that more users enter the micro', zone RRU or BRU due to transmit power Compared with the macro base station transmission, the interference from other macro base stations and the interference to other macro base stations are greatly reduced, so that it is no longer necessary to perform joint processing in the centralized computing node, thereby effectively reducing the local computing node 225 and Centrally calculate the transmission bandwidth requirements between nodes 245.
- the communication system of the embodiment of the present invention hierarchically and localizes the computing resources of the BBU, so that a small range of wireless transceiver units are centralized in the local computing node management, and a large range of wireless transceiver units are combined and managed by the upper layer computing nodes.
- a wireless transceiver unit it is directly connected to the local computing node, and indirectly connected to the upper-level and large-scale computing nodes through the local computing node, and does not exclude the case where some wireless transceiver units are directly connected to the upper computing node.
- Embodiments of the present invention support adaptive scheduling between computing resources and joint processing between local computing nodes and centralized computing nodes based on user distribution, data volume, and interference conditions.
- the local computing layer can be placed in locally relatively small areas, such as within a macro cell, to reduce bandwidth requirements for the transport network through partial local computational processing, and to enable multiple short-range transmission techniques to be localized.
- the ratio of different upward moving cloud data can be selected according to the bandwidth of the actual connected medium.
- the centralized computing layer of the upper layer is responsible for managing the wireless transceiver units and computing nodes in a larger area, so that the problem of user tidal effects can be solved by scheduling the computing resources.
- the actual networking determine whether the intermediate computing layer is required as the local computing layer to the centralized computing layer. Transition.
- the main advantage of the embodiment of the present invention is that the bandwidth of the base station connected to the cloud computing node is greatly saved.
- the number of small cells increases, which is several times that of existing macro cells; the frequency band is doubled; the number of antennas also increases, from the current maximum of 4 antennas to tens or even hundreds of antennas. If you still use the traditional cloud access network architecture, connecting all baseband data directly to a cloud computing center a few kilometers away will be a great challenge for fiber transmission.
- each macro base station corresponds to three sectors, 8 antennas per sector; there are 10 microcell base stations in each macro cell range, and a single antenna corresponds to one micro cell;
- the base station corresponds to a 20 MHz spectrum, and the sampling frequency is 30.74 MHz, and each sample point is quantized by 22 bits.
- the data processing of most of the baseband or even L2 is completed locally according to the embodiment of the present invention, the data rate required to be connected to the cloud computing center will be greatly reduced: the data rate after channel decoding is reduced by 1/3; if it is 64QAM, demodulation After the data rate is reduced by 5/22; the outgoing cyclic prefix (CP, Cyclic Prefix) will also cause the data rate to drop. If the local L2 data processing can be completed, the frame header, CRC check, and control fields can be saved.
- the proportion of transmission bandwidth saved by the local processing of the baseband data in the uplink is similar to that in the downlink. It can be seen that the communication system added to the underlying local computing layer in the embodiment of the present invention brings a large bandwidth saving advantage.
- the computing task can be scheduled in the upper and lower computing nodes even if the traditional computing C- is not lost in consideration of the problem of balancing the computing resources and solving the tidal effects brought by the cloud access network architecture.
- the advantages of the RAN architecture are the advantages of the RAN architecture.
- the second advantage is that the traditional C-RAN needs to connect each macro base station to the computing center through the optical fiber.
- the base station data may be concentrated in a local area and then transmitted to the upper layer computing center. Because it is local concentration, a variety of short-range communication technologies, such as microwave, DSL, power lines, etc., can be considered to reduce baseband transmission costs.
- the traditional C-RAN architecture if the baseband transmission data rate does not meet the cloud requirements on all baseband data, Then you can't use the cloud computing architecture.
- FIG. 5 is a schematic flow chart of a method of managing a communication system according to an embodiment of the present invention.
- the method of Figure 5 is performed by the communication system shown in Figure 1 or Figure 2.
- the communication system includes a wireless transceiver layer, a local computing layer, and a centralized computing layer, and the wireless transceiver layer includes one or more wireless transceiver node combinations, wherein the wireless transceiver node in each wireless transceiver node combination includes at least a macro cell radio frequency unit.
- the local computing layer includes one or more local computing nodes, wherein each local computing node is associated with one or more adjacent wireless devices
- the wireless transceiver nodes in the combination of transceiver nodes are connected, and the centralized computing layer includes one or more centralized computing nodes, wherein each centralized computing node is coupled to one or more local computing nodes in the local computing layer.
- the local computing node performs all communication processing or first part communication processing of a cell corresponding to the radio transceiver node in the combination of the radio transceiver nodes to which the local computing node is connected.
- the central computing node performs, when the local computing node performs the first partial communication processing, performing a cell corresponding to a radio transceiver node in a combination of the radio transceiver nodes to which the one or more local computing nodes are connected.
- a two-part communication process, wherein the all communication processes include the first partial communication process and the second partial communication process.
- a local computing layer is added between the centralized computing layer and the wireless transceiver layer, which is responsible for all or part of the communication processing of neighboring cells within a certain range, without having to hand all processing to the remote centralized computing node for processing. , which saves network bandwidth and improves the utilization efficiency of system resources.
- FIG. 5 is shown as being executed before 502, the embodiment of the present invention is not limited thereto. In fact, the execution of 501 and 502 can be relatively independent. For example, 501 can be executed after 502, and 501 can also be executed simultaneously with 502. These modifications are all within the scope of the embodiments of the present invention.
- FIG. 6 is a schematic flow chart of a method of managing a communication system according to another embodiment of the present invention.
- the communication system of the embodiment of FIG. 6 can be as shown in FIG. 2.
- one or more intermediates can be added between the centralized computing layer 140 and the local computing layer 120 according to actual needs.
- Layer 130 is calculated to further reduce bandwidth requirements.
- Each intermediate computing layer 130 includes one or more intermediate computing nodes 135.
- the method of FIG. 6 further includes: 503.
- the intermediate computing node performs, in the case that the local computing node performs the first partial communication processing, performs a third cell corresponding to the wireless transceiver node in the combination of the wireless transceiver nodes to which the local computing node connected to the intermediate computing node is connected. Partial communication processing, wherein the all communication processing includes the third partial communication processing.
- the method of FIG. 6 further includes:
- the micro cell radio frequency and baseband remote unit BRU performs the fourth part communication process of the cell corresponding to the micro cell radio frequency and the baseband remote unit when the local computing node performs the first part communication process.
- the method of FIG. 6 further includes:
- the centralized computing node transfers the fifth part communication processing to other centralized computing nodes by task scheduling.
- the all communication processing includes the fourth partial communication processing and/or the fifth partial communication processing described above.
- the communication processing of the embodiment of the present invention may include one or more of the following processes: data processing, joint interference management processing, joint resource scheduling processing, joint computing task scheduling processing, communication processing of multiple standards, and between various standards. Joint communication processing, micro-area radio remote unit and/or joint control of micro-area radio frequency and baseband remote unit operation mode or open/close state.
- a local computing layer is added between the centralized computing layer and the wireless transceiver layer, which is responsible for all or part of the communication processing of neighboring cells within a certain range, without having to hand all processing to the remote centralized computing node for processing. , which saves network bandwidth and improves the utilization efficiency of system resources.
- the disclosed systems, devices, and methods may be implemented in other ways.
- the device embodiments described above are merely illustrative.
- the division of the unit is only a logical function division.
- there may be another division manner for example, multiple units or components may be combined or Can be integrated into another system, or some features can be ignored, or not executed.
- the coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interface, device or unit, and may be electrical, mechanical or otherwise.
- the units described as separate components may or may not be physically separate, and the components displayed as units may or may not be physical units, that is, may be located in one place, or may be distributed to multiple network units. Some or all of the units may be selected according to actual needs to achieve the objectives of the solution of the embodiment.
- each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.
- the above integrated unit can be implemented in the form of hardware or in the form of a software function unit.
- the integrated unit if implemented in the form of a software functional unit and sold or used as a standalone product, may be stored in a computer readable storage medium.
- the technical solution of the present invention may contribute to the prior art or all or part of the technical solution may be embodied in the form of a software product stored in a storage medium.
- a number of instructions are included to cause a computer device (which may be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods described in various embodiments of the present invention.
- the foregoing storage medium includes: a U disk, a removable hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and the like, which can store program codes. .
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CN201180000751.8A CN102907167B (zh) | 2011-05-17 | 2011-05-17 | 通信系统及其管理方法 |
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CN102907167B (zh) | 2016-01-20 |
WO2011127855A3 (zh) | 2012-04-19 |
BR112013029651B1 (pt) | 2022-03-29 |
RU2013155899A (ru) | 2015-06-27 |
WO2011127855A8 (zh) | 2012-06-28 |
EP2525623A2 (en) | 2012-11-21 |
RU2556081C1 (ru) | 2015-07-10 |
EP2525623A4 (en) | 2013-02-27 |
US8467818B2 (en) | 2013-06-18 |
US20130017852A1 (en) | 2013-01-17 |
CN102907167A (zh) | 2013-01-30 |
BR112013029651A2 (pt) | 2020-11-10 |
EP2525623B1 (en) | 2014-05-14 |
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