53 results about "Macrocell" patented technology

The invention provides a macro-cell layout evaluation optimization method based on a large language model, and belongs to the field of electronic design automation. According to the method, a large language model is introduced to assist layout generation, a current initial layout is improved in combination with connection weight analysis, on the other hand, an improved result is judged and continuously iterated according to natural language feedback of an experience manual or an expert, and closed-loop optimization is formed; carrying out weight quantization on direct and indirect signal paths among macro units, constructing a logic association strength matrix, and realizing accurate identification and priority ranking of key time sequence paths; the availability score of each candidate layout scheme is calculated through a layout availability scoring module, dynamic measurement is carried out on surrounding standard unit resources, the resource distribution state is evaluated in real time, the position of a macro unit is actively adjusted, and resource congestion or waste is avoided; the method is deeply integrated with an open source EDA tool, the dependence on a commercial tool is reduced, the tool chain deployment and iteration period is shortened, and the transportability and usability of the method are guaranteed.

An artificial intelligence acceleration system based on an 8T-SRAM calculation and storage integrated macro cell is provided with a digital-analog hybrid calculation array, the digital-analog hybrid calculation array is provided with m * n 8T-SRAM storage and calculation integrated units, and each 8T-SRAM storage and calculation integrated unit is provided with a 6T-SRAM unit, a transistor T7 and a transistor T8; the 6T-SRAM unit is provided with a storage unit, a transistor T5 and a transistor T6; the grid electrode of the T7 is connected with the output end Qb of the storage unit, the source electrode of the T7 is grounded, and the drain electrode of the T7 is connected with the source electrode of the T8; the grid electrode end of the T8 is connected with a read word line RWL, and the drain electrode of the T8 is connected with a read bit line RBL; one ends of the column calculation line BL and the column calculation line BLb are connected with the column address decoder, and the other ends are connected with the read-write calculation control unit; the word line WL and the read word line RWL are connected with the row address decoder; one end of the read bit line RBL is connected with a power supply, and the other end is connected with the column simulation accumulation unit which outputs a calculation result through the analog-to-digital converter. The device has the advantages of being simple and clear in structure, capable of achieving efficient on-chip multiply-accumulate operation, easy to control, low in power consumption, high in precision and the like.

The invention relates to a wiring layout method based on reinforcement learning, which combines a macro-cell layout model and a congestion prediction model, and introduces a wiring evaluation mechanism in a layout stage, so as to improve the manufacturability and wiring success rate of chip design. The method specifically comprises the following steps: carrying out macro-cell layout by utilizing a layout model driven by reinforcement learning; performing congestion prediction on the layout result by using a congestion prediction model; extracting three types of features of a macro region, wiring density (RUDY) and pin density (Pin RUDY) after each layout iteration, normalizing the features, and combining the features into a three-channel feature map as the input of a congestion prediction model; and dynamically adjusting a reward function of reinforcement learning according to a prediction result, and guiding the layout model to avoid a high-congestion area. According to the method, the realizability of the layout scheme in the subsequent wiring stage can be remarkably improved, reworking is reduced, the design cost is reduced, and the method has high engineering practicability and expansibility.

The present application discloses a sense-in-memory macrocell circuit, system, and analog-to-digital conversion method, including the steps: a tag module reads an analog signal from the iSC bus; the tag module traverses and compares the read analog signal with a plurality of reference analog signals; according to the comparison result, a corresponding digital signal is obtained; the plurality of reference analog signals are data that gradually increase or decrease according to a functional relationship. This method does not require a dedicated ADC circuit and utilizes the existing circuits of the PE to implement the conversion function.

Methods, systems, and devices for wireless communication are described. A user equipment (UE) may avoid frequent handovers in a small cell by triggering a handover to a macro cell. The UE may determine that the UE has performed multiple handovers within a time period. The UE may determine to trigger a handover to the macro cell. The UE may identify the macro cell based on measuring the macro cell during the multiple handovers. The UE may determine to avoid indicating signal measurements of the small cell in a measurement report. Accordingly, the measurement report may include signal measurements of the macro cell and omit signal measurements of the small cell. The UE may send the measurement report to the small cell serving as the serving cell of the UE. Based on the measurement report, the UE may receive a message initiating a handover procedure to the macro cell.

Methods, media, and systems are provided for controlling cell site selection by a user device in a telecommunications network. A System Information Block (SIB) message (e.g., an SIB Type 1 message) is transmitted (e.g., by a cell site) for receipt by the user device for cell site selection. In some aspects, the SIB message is transmitted while the user device is camping on a serving cell of a base station other than the cell site. The SIB message comprises information that identifies a type of the cell site. The type of the cell site is a cell site other than a macro cell, such as a small cell for example. Upon selection of the cell site by the user device based on the SIB message and the type of the cell site, the user device is provided access to a telecommunications service.

The embodiment of the invention provides a direction sensing macro cell layout optimization method and device for chip design. The method comprises the steps that population initialization of an evolutionary algorithm is set; calculating fitness scores and candidate solution probabilities of candidate solutions of the population; calculating a quality score of each macro; visual features are extracted from the current layout state through a reinforcement learning agent, an encoder in the reinforcement learning agent extracts multi-scale spatial features of visual feature layout layer by layer, and the encoder and a decoder generate placement probability distribution in a direction position joint action space; outputting the orientation and placement coordinates of the macro-cells; multiple bottlenecks of an existing learning driving frame are broken through, in a layout frame of the reinforcement learning agent, the orientation (rotation and mirror image) and the position of a macro unit are jointly contained in the same action space for the first time, so that the agent can sample at a time and determine the position and direction of the macro unit, an explorable solution space is expanded, and the synergistic effect between the explorable solution space and the macro unit is captured.

Various embodiments comprise systems, methods, architectures, mechanisms and apparatus wherein network nodes such as macrocell RANs, small / micro cell RANs, Wi-Fi Access Points (APs) and the like are modified to include a velocity sensor configured to determine if any GPS-perceived location change is accurate and, if not, to avoid or inhibit invoking restart / initialization of the network node normally invoked in response to the change in location of the network node.

One embodiment of the present invention provides an apparatus comprising a transceiving unit and a control unit, and a communication method using the same, wherein the transceiving unit is configured to perform communication with at least one network node in a macro cell, the macro cell comprising at least one small cell and communicating in an FDD mode, and wherein the control unit is configured to control the small cell to communicate in a TDD mode, generate control information for preventing the occurrence of handover when a terminal moves between the small cells within the macro cell, and perform control to transmit the control information to the terminal.

Apparatuses, systems, and methods for network interface management for Citizens Broadband Radio Service (CBRS) deployments, e.g., in LTE and / or 5G NR systems and beyond, including methods for coarse selection of CBRS networks and fine selection of CBRS networks as well as support for multiple CBRS networks. Coarse selection of CBRS networks may include various triggers for automatic CBRS profile enabling and / or disabling, user management and overriding of system selections, tiered hierarchy for CBRS network enabling and / or disabling, as well as mechanisms to avoid ping-ponging between network selection. Fine selection of CBRS networks may include data slot switching between mobile network operators (MNOs, e.g., LTE / NR macro cells) and CBRS eSIM as well as prioritization of CBRS networks over Wi-Fi networks. Multiple CBRS networks support may include CBRS network identifier (NID) matching for unique identification as well as user-ranked CBRS priority.

The invention discloses an automatic generation method of a macro cell layout with a standard cell structure, belongs to the technical field of automatic generation methods of macro cell layouts, solves the problem that the prior art cannot adapt to automatic generation of layouts, avoids mismatch of symmetrical structures, and optimizes the area of the layouts. The method comprises the following steps of: generating an MOS (Metal Oxide Semiconductor) single-finger Pcell with the same channel size as a target macro cell layout, embedding a power track and a grounding track, reserving a metal shape for a grid electrode pin, a source electrode pin and a drain electrode pin which are arranged on a second metal layer to form an independent unit structure, and performing horizontal mirror image copying to form an independent unit structure; and reconstructing a second metal layer according to the macro-cell schematic diagram to connect the pins to obtain an overall unit structure, then arranging through holes at the pins to connect the different metal layers, arranging buffer structures at the two sides to form a final overall unit structure, and finally exporting a GDS file. The method is used for automatically generating the macro cell layout with the standard cell structure.

The present invention discloses a partial interference alignment method, device and storage medium in a medium signal-to-noise ratio scenario. The method includes: establishing a downlink heterogeneous cellular network interference model; performing interference alignment according to the full interference alignment strategy and power constraint, and constructing a transmitter precoding matrix based on the spatial multiplexing of a predetermined user and the interference alignment of other users; performing partial interference alignment based on the transmitter power constraint, aligning the useful signal and the interference signal into two matrices respectively, and determining the transmitter precoding matrix; at the user receiver, solving the receiver matrix corresponding to the transmitter precoding matrix based on the iterative method. By partially aligning the interference, the present invention designs the macrocell precoding matrix to be orthogonal to a partial subspace of the interference channel matrix, reserves more transmission dimensions for the macrocell link, and improves the network capacity. At the same time, the interference is projected onto a partial subspace of the small cell user, which can reduce the computational overhead and simplify the solution of the receiver matrix at the user end.

Dynamically configuring wireless access points (APs) in wireless local area networks (WLANs). Dynamically determines an AP configuration of cell size and frequency sub-bands of deployed dual-radio WLAN APs for improved network performance. In a first AP configuration, a first AP radio increases the power level of a micro cell while a second AP radio decreases the power level of a macro cell to provide a higher quality of service for the clients connected to the first and second co-located, same-band AP radios. If the increased power of the micro cell causes too much interference between the co-located, same-band AP radios, then a second AP configuration is dynamically applied to lock each AP radio on a different, non-overlapping frequency band, thus minimizing interference between the AP radios and improving network performance.

The invention belongs to the technical field of integrated circuit testing, and discloses an in-memory computing chip testing device and method based on a scan chain architecture, and the method comprises the steps: employing three groups of independent scan chains (input, weight and partial sum) to cooperate with an on-chip configurable controller (Config Regs + FSM), and achieving the automatic testing of a memory Mode and a computing Mode of an in-memory computing macro cell (CIM Macro). According to the technical scheme provided by the invention, the storage and calculation functions of the CIM chip can be comprehensively verified with lower hardware overhead and lower external IO rate.

In order to connect a radio terminal in a heterogeneous network environment to a connection destination in an appropriate frequency band, a management device comprises: a located-area information acquisition unit that acquires located-area information of the radio terminal; a first base station identification unit that uses the located-area information to identify a first base station forming a macrocell; a second base station identification unit that uses the located-area information to perform a first assessment for assessing whether or not the radio terminal is within one of the small cells, and that, when the radio terminal is within one of the small cells, identifies a second base station forming the small cell; and a high-speed communication requirement assessment unit that performs a second assessment for assessing whether or not the radio terminal requires high-speed communication based on at least a predicted traffic demand volume from the radio terminal.

The present disclosure provides the planning of the next generation network which complements an existing telecom deployment to achieve the desired KPIs from the combined network for both macro and small cell planning in an existing network in a cost-effective method to deploy ODSC cells and Macro Cells in a heterogeneous network. Planning a next-generation network for an existing telecom operator is a large undertaking, utilizing precious man-hours and most importantly, weeks of work. Using an automated planning methodology to plan macro and small cells for a region like a city, state or even country, planners can deploy solutions to make the most optimum use of existing infrastructure. The invention proposes an automated approach to plan the preferred overlay telecom solutions in an area A being part of an existing telecom deployment.

Low-performing cells, serving a telecom deployment in a given geographical area, are commonly identified by the telecom operators based on one or more Network KPIs computed for each of the cells being part of the deployment. However, most of these KPIs describe the overall state of affairs of the cell without any insight into the user usage profile of the cell. The present disclosure proposes a novel method to adjust the network KPIs based on scores of the macro cell or the small cell (101) with the user usage profile of the cell to obtain the user correlated network scores of the cells and prioritize the low-performing cells in the network in order of degree of impact on users and their usage. Another aspect of this disclosure is that it shall predict and compute a realistic user score to get predictive insights into user profiles for solutions and preventive measures.

When being connected to a macro cell (S-MeNB) and a small cell (SeNB), a user equipment device performs a pre-handover process of disconnecting the connection with the SeNB before a handover process of switching a macro cell connected with the UE from the macro cell (S-MeNB) that is a moving source to a macro cell (T-MeNB) that is a moving destination along with moving of the UE, and after the handover process, performs a post-handover process of reestablishing the connection with the SeNB.

In traditional macrocell deployments, User Equipment (UE) communicates with a single Transmission Receiver Point (TRP) on the same cell for both downlink (DL) and uplink (UL) transmissions. However, to minimize both cost and interference (and improve UL transmission performance), dense deployment of UL Transmission Receiver Points (TRPs) is considered. Therefore, enhanced UL transmissions for multiple-input / multiple-output wireless communication are desired, especially in “asymmetric” scenarios, such as DL single-TRP (sTRP) / UL multiple-TRP (mTRP) wireless communication. To support UL-only TRPs, several issues need to be addressed, such as how the UE should perform UL power control for UL-only TRPs and how to account for scenarios where DL and UL transmissions from a given UE are associated with different TRPs. Solutions to these issues are disclosed, along with more efficient sounding reference signal (SRS) power control methods (especially when transmitting different sets of SRS resources to different TRPs).

At a high level, the technology disclosed herein relates to methods, systems, media, etc., for cell deployment optimization (e.g., via a cell deployment optimization engine). In embodiments, cell deployment optimization relates to particular technological approaches to deploying a cell (e.g., such as a macro cell or a small cell) based on user experiences (e.g., user device network coverage experiences), home locations for user devices, historical locations for user devices, churn rates, predicted cell deployment coverage data, etc. For example, in embodiments, a user experience for subscribers located within a threshold distance of a proposed cell deployment location may be determined. In addition, one or more user experience adjustments to the user experience for the subscribers may be determined based on deploying a cell at the proposed cell deployment location. A cell deployment prediction may be generated based on the user experience adjustments.

The invention discloses a macro cell legalization method, system and device for an FPGA chip and a medium, and the method comprises the steps: carrying out the global layout of an FPGA design netlist, and determining the initial positions of a macro cell and other design units in a global layout coordinate system; acquiring coordinate positions of other design units directly connected with each macro unit in the global layout coordinate system; respectively sequencing the coordinate positions of all other design units connected with each macro unit along the X-axis direction and the Y-axis direction to obtain an X coordinate sequence and a Y coordinate sequence; determining an anchor point corresponding to the macro cell based on the X coordinate sequence and the Y coordinate sequence; minimizing the distance between the candidate placement position of each macro cell and the corresponding anchor point to determine the legal placement position of each macro cell on the FPGA chip; according to the method and the device, the limitation of determining the anchor point of the macro cell in the global layout can be avoided, the deviation between the position of the macro cell and the anchor point after legalization is reduced, and the layout time sequence performance of the FPGA chip is optimized.

The invention relates to a built-in self-test method, architecture and system oriented to an in-memory computing macro-cell, and the method comprises the steps: executing a first test mode: inserting a computing activation vector and a computing enabling instruction in an MBIST test algorithm, and carrying out a computing test after a read operation to detect a coupling fault between a storage array and bit multiplication logic; and judging whether the storage reading result and the calculation result are correct or not, if so, entering a second test mode or judging that the self-test is correct and completing the detection, and otherwise, diagnosing the fault position based on the detection result. According to the test method provided by the invention, the calculation enabling and the calculation activation vector are inserted in the traditional MBIST algorithm, and the additionally executed multiply-accumulate calculation operation is verified after the read operation, so that the test efficiency is greatly improved on the premise of covering the fault type of the traditional memory. The specific fault of data coupling between the storage unit and the calculation unit can be further effectively detected, and the fault coverage rate is increased.

The invention discloses an AI-assisted macro cell layout multiplexing method and system, and relates to the technical field of integrated circuit design. The method comprises the following steps: acquiring first position information in a target design environment, wherein the first position information comprises a target placement position of a first macro cell; acquiring second position information in the source design environment, wherein the second position information comprises original coordinates of a plurality of circuit elements in a second macro cell; automatically generating new coordinates of the plurality of circuit elements in the target design environment by utilizing a trained AI model based on the target placement position and the original coordinates; and generating a target layout file of the second macro-cell in the target design environment based on the new coordinates. According to the method, the coordinates are automatically adjusted through the AI, efficient multiplexing of the small macro-cells in the large macro-cells is achieved, manual modification is not needed, errors are remarkably reduced, the iteration period is shortened, PPA income is improved, and design flexibility is enhanced.

The invention discloses a non-orthogonal multiple access technology enhanced full-duplex unmanned aerial vehicle relay method and system, and the method comprises the steps: precisely calibrating the spatial positions of a base station, an unmanned aerial vehicle and a ground user in a three-dimensional rectangular coordinate system, and constructing a geometric model which accords with an actual scene; and carrying out quantitative analysis on the channel capacity between the nodes based on the Shannon theorem. On the basis, a full-duplex relay transmission mechanism of time slot division is designed, the unmanned aerial vehicle applies a self-interference elimination technology in receiving and forwarding, and the maximum reachable transmission rate of a single user is deduced from the self-interference elimination technology. Furthermore, a power distribution constraint is introduced for each user, the balance between throughput improvement and energy consumption reduction is realized by optimizing the transmitting power of the unmanned aerial vehicle, and meanwhile, the network average rate is taken as a quantitative index of overall performance evaluation. With the continuous development of the unmanned aerial vehicle communication technology, the method of the invention can significantly improve the transmission rate and the coverage quality of the macro cell on the premise of not additionally occupying spectrum resources.

This invention belongs to the field of AI algorithm optimization technology for chip back-end component placement. It discloses a chip thermal placement method based on reinforcement learning. The method includes: obtaining the chip's register transfer level description file and electronic design automation tool output file; mapping the chip's three-dimensional thermal field onto a two-dimensional plane, pre-setting the chip's boundary conditions, initially analyzing the chip's temperature distribution and determining the rectangular shape of each macrocell and the heat source intensity function, further determining the chip's thermal field distribution and performing key optimizations using finite element analysis; modeling the chip placement process, processing the mask based on a policy network, obtaining macrocell placement actions, and determining the optimal thermal placement of the chip. This invention effectively ensures chip performance by simultaneously optimizing heat dissipation and line length, and avoids the local optima and non-convergence problems of traditional algorithms through reinforcement learning algorithms.

This invention discloses a method and apparatus for initial placement of FPGA hard macrocells. The method includes: establishing a timing hypergraph for all target logic devices in the FPGA circuit; wherein the target logic devices include hard macrocells, registers, and input / output units; based on the timing hypergraph, combining two hard macrocells with at least one signal transmission path as a single hard macrocell combination to obtain several hard macrocell combinations, and obtaining the timing proximity of each hard macrocell combination; based on the timing proximity of each hard macrocell combination and the current physical position of each hard macrocell, using a simulated annealing algorithm to obtain the optimal physical position of each hard macrocell, and using the optimal physical position of each hard macrocell as the initial position of each hard macrocell. This invention can rationally place the initial positions of hard macrocells based on the timing hypergraph, which is beneficial for optimizing FPGA placement and routing effects.

In traditional macro cell deployment, a user equipment (UE) communicates with a single TRP on the same cell for both downlink (DL) and uplink (UL) transmissions. However, to achieve simultaneous cost and interference minimization (and UL transmission performance improvement), dense deployment of UL transmission and reception points (TRPs) may be considered. Thus, it is desirable to enhance UL transmissions for multiple-input / multiple-output wireless communications, especially in "asymmetric" scenarios, e.g., DL single TRP (sTRP) / UL multi-TRP (mTRP), wireless communications. To support UL-only TRPs, several issues need to be addressed, such as how the UE should perform UL power control for the UL-only TRP, and how to account for scenarios wherein DL and UL transmissions from a given UE are associated with different TRPs. Solutions to these issues, as well as more efficient approaches for sounding reference signal (SRS) power control (especially when different SRS resources sets are transmitted towards different TRPs), are disclosed.

A resource allocation method for multiple unmanned aerial vehicle (UAV) - assisted macro - cell base stations in a downlink non - orthogonal multiple access (NOMA) network, comprising the following steps: Step 1, multiple UAV base stations randomly select a location according to their location strategy with probability weights; Step 2, according to the location where the UAV base station is located, perform channel allocation for several users of the UAV base station; Step 3, perform power allocation for two users already allocated under the same channel according to the optimal power allocation strategy; Step 4, based on the power allocation results obtained in Step 3, calculate the utility function values of all UAV base stations at this location, and calculate the selection probabilities of all UAV base stations using the general utility function value; Step 5, repeat Steps 1 to 4. When the selection probability converges to a certain location and no longer changes, the resource allocation is completed. This method can be used in complex scenarios of air - ground heterogeneous wireless NOMA access, with multiple UAV base stations providing dynamic services, wide coverage, reduced co - channel interference, dynamic resource allocation, and improved overall user QoS.

A system (101) and a method (300) for generating a very large-scale integration layout plan (400). One method includes receiving (302) inputs (322, 324, 326) for automatically placing macrocells in the layout plan (400). The method includes performing (304) an automatic macrocell placement process based on the received inputs (322, 324, 326). The method includes generating (308) the layout plan (400) according to the automatic macrocell placement process. The layout plan (400) can then be used to generate a physical layout, and can subsequently be used to manufacture physical chips based on the generated physical layout.

Methods, systems, and devices for wireless communications are described. A user equipment (UE) may avoid frequent handover in small cells by triggering handover to a macro cell. The UE may determine that the UE performs a number of handovers within a time period. The UE may determine to trigger a handover to the macro cell. The UE may identify the macro cell based on measuring the macro cell during multiple handovers. The UE may determine to refrain from indicating signal measurements of small cells in a measurement report. Accordingly, a measurement report may include a signal measurement of the macro cell and omit the signal measurements of the small cells. The UE may transmit the measurement report to the small cell acting as a serving cell for the UE. Based the measurement report, the UE may receive a message initiating a handover procedure with the macro cell.