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32 results about "Cone programming" patented technology

Mixed integer cone programming based intelligent distribution system synthetic voltage reactive power optimization method

The present invention provides a mixed integer cone programming based intelligent distribution system synthetic voltage reactive power optimization method. The method comprises: inputting a distribution system structure and a parameter of a distribution system; establishing a time sequence optimization model of a distribution system synthetic voltage reactive power control problem considering various types of adjustment means; converting the established model into a mixed integer second-order cone model; solving the obtained mixed integer second-order cone model by using a mathematical solver capable of solving mixed integer second-order cone programming; and outputting a solution result. The method provided by the present invention greatly reduces solving difficulty and facilitates performing solution by using a solving tool, so that a complex mixed integer non-linear programming problem can be solved, cumbersome iteration and a large number of tests are avoided, and the calculation speed is greatly improved.
Owner:天津白泽清源科技有限公司

Modeling and optimization method for production scheduling problem distribution set robust model

The invention provides a modeling method for a production scheduling problem distribution set robust model, which belongs to the field of production scheduling and operations research. A distributed set robust optimization method based on an uncertain distribution function set is adopted to model the production scheduling problem, the model is composed of an objective function and constraint conditions, the objective of the model is to search for an optimal robust scheduling sequence, and thus, in a condition in which the total flow time of the sequence obeys the worst distribution in the processing time, the minimum condition risk value is realized. In the case of solution, the model is decomposed to an assignment subproblem and an integer two-order cone programming subproblem, and a minimum average processing time priority criterion and two Cauchy relaxation algorithms designed by the invention are adopted to optimize the model and obtain the optimal solution. The distribution set robust optimization method is applied to the production scheduling problem, the method is more applicable to the actual production condition compared with the existing robust modeling method, and in a condition of ensuring the system performance, a decision risk is reduced.
Owner:TSINGHUA UNIV

Soft open point power supply restoration method for active distribution network

InactiveCN107221930ASolving Rapid Power Restoration ProblemsAc network circuit arrangementsVoltage amplitudeRestoration method
The invention relates to a soft open point power supply restoration method for an active distribution network. The method is characterized by comprising the following steps: according to the selected existing distribution network, initial parameters are inputted; according to the distribution system structure and the initial parameters, an active distribution network soft open point power supply restoration model is built; according to a standard form of cone programming, two-order cone model transformation is carried out on a nonlinear objective function and constraint conditions in the active distribution network soft open point power supply restoration model; the existing cone programming solution method is adopted for solution for the two-order cone programming model; and a solution result, comprising the voltage amplitude of each node, the restoration load factor of each load and the soft open point transmission power value, is outputted. Multiple system safety and operation constraints are considered comprehensively, and the power supply restoration policy for the soft open point and the distribution network is accurately and quickly solved and determined.
Owner:STATE GRID CORP OF CHINA +2

Electric hot water multi-energy-flow cooperative scheduling method based on convex optimization

The invention discloses an electric hot water multi-energy-flow cooperative scheduling method based on convex optimization. An electric hot water multi-energy-flow cooperative scheduling non-convex programming model is established; a convex relaxation and approximate processing method is adopted to convert a non-convex programming model into a second-order cone programming model, a penalty function method is adopted to construct a strengthening model to reduce relaxation errors, and finally a scheduling result is obtained through iterative solution of the model, so that collaborative optimization of the electric hot water heterogeneous energy flow is realized, and the safety and economy of system operation are improved.
Owner:SOUTHEAST UNIV

Distributed power supply local voltage control strategy setting method based on cone programming

The invention provides a distributed power supply local voltage control strategy setting method based on cone programming. An active power distribution system structure and parameters are inputted according to a selected active power distribution system; the sequential characteristics of distributed power supply output and load are considered according to the active power distribution system structure and parameters, and an active power distribution network distributed power supply local voltage control strategy setting model is established; the objective function in the model is linearized, and linearization or cone conversion is performed on the nonlinear constraint so that the active power distribution network distributed power supply local voltage control strategy setting model is enabled to be converted into a second-order cone model; the second-order cone model is calculated by using a mathematical solver solving second-order cone programming; and the solving result is outputted, including the relevant parameters of the distributed power supply local voltage control strategy, the voltage distribution situation of the distributed power supply, the reactive compensation situation and the active reduction situation. The distributed power supply local voltage control strategy can be obtained so that the setting problem of the distributed power supply local voltage control strategy under continuous time sequences can be solved.
Owner:TIANJIN UNIV +1

Construction and calculation method of random distributed robust beam former

The invention discloses a construction and calculation method of a random distributed robust beam former. The method comprises the following steps: step S1, setting a sensor array; step S2, receivinga signal; step S3, estimating an interference and noise covariance matrix; step S4, acquiring an expression of the beam former in an ideal state; step S5, introducing random distribution of mismatch vectors in ideal planning of the beam former, and obtaining the random distributed robust beam former; and step S6, reconstructing the random distributed robust beam former into a cone programming expression capable of being calculated by a standard software package. The invention proposes the random distributed robust beam former which is more universal and practical and better in performance andthe calculation method thereof.
Owner:SICHUAN UNIV

Optimal power flow calculation method containing wind power access based on robust cone programming

The invention discloses an optimal power flow calculation method containing wind power access based on robust cone programming, and belongs to the technical field of power system dispatching automation. The method comprises the following steps: according to prediction data of day-ahead wind power output and load, taking minimum power generation cost of a unit as a target function, describing uncertainty of wind power output by an uncertain set in a polyhedron form, introducing alternating current power flow constraint to carry out safety check, and constructing a robust cone programming model based on alternating current power flow; performing cone relaxation on the non-linear constraint, and processing a non-linear term by using an auxiliary variable substitution method so as to obtain a cone programming model; in order to solve the uncertainty optimization problem, using a C&CG algorithm to decompose the model into a main problem in a basic scene and a sub-problem in an uncertain scene, substituting unit commitment decisions solved in the basic scene into safety verification in the uncertain scene, performing dual transformation of inner layer optimization, solving a dual cone programming model, and obtaining a globally optimal solution.
Owner:NORTH CHINA ELECTRIC POWER UNIV (BAODING) +2

Second-order cone programming robust state estimation method and system for electric heating comprehensive energy system

PendingCN111400873AMake up for the loss of measurement redundancyImprove accuracyDesign optimisation/simulationResourcesVoltage amplitudeThermodynamics
The invention provides a second-order cone programming robust state estimation method for an electric heating comprehensive energy system. The method comprises the steps of: obtaining quantity measurement of the electric heating comprehensive energy system; inputting the quantity measurement into a pre-constructed electric heating comprehensive energy system second-order cone programming state estimation model to obtain a power system node voltage amplitude estimation value, a power system node phase angle estimation value, a thermodynamic system node pressure estimation value, a node heat supply temperature estimation value and a node regenerative temperature estimation value, wherein the measurement of the electric heating comprehensive energy system comprises the measurement of an electric power system and the measurement of a thermodynamic system. The application of the method makes up the loss of measurement redundancy in a power grid, and improves the accuracy of the state estimation of the electric power system in the electric heating comprehensive energy system.
Owner:CHINA ELECTRIC POWER RES INST +2

Bottom-preserving net rack search modeling method based on mixed integer second-order cone planning

The invention discloses a bottom-preserving net rack search modeling method based on mixed integer second-order cone planning. The method aims to solve the problems that an algorithm adopted in the prior art is low in calculation speed, uncertain in result and limited. The method comprises the following steps: S1, collecting information of a to-be-planned power transmission network, forming an initial power grid topological graph, and establishing a multi-objective optimization function; S2, establishing node active power and reactive power balance constraints on the basis of the power flow equation of the power system; S3, establishing model inequality constraints including a line voltage constraint, a system power flow constraint, a connectivity constraint, a unit output constraint and aline power constraint; S4, performing second-order cone optimization relaxation on the model, and converting the mixed integer nonlinear programming model into a mixed integer second-order cone model; and S5, solving the model to obtain a planning scheme. Through the mixed integer second-order cone programming, solving efficiency is high, robustness is good, and the result is determined. Searching speed and accuracy of the guaranteed net rack are improved.
Owner:GUANGXI UNIV

Voltage optimization method for flexible interconnection power distribution system

The invention provides a voltage optimization method for a flexible interconnection power distribution system. The method comprises the following steps: building a voltage optimization model based on distribution robust opportunity constraint, and constructing an uncertainty probability set for a random variable through a Wasserstein distance; for an objective function and constraint conditions in the model, setting the objective function by taking minimum network loss and minimum voltage deviation as objectives, meanwhile, setting power balance constraint, substation outlet power constraint, CB and OLTC operation constraint and flexible interconnection device operation constraint as hard constraint conditions, and setting node voltage and branch power as opportunity constraint conditions of the model; and constructing a voltage optimization model. The built model is difficult to directly solve, so that the mixed integer random second-order cone programming algorithm is used for solving. According to the optimization model and the solving method thereof, the uncertainty of the source load can be effectively handled, so that the operation safety of the power distribution system is guaranteed.
Owner:NANJING INST OF TECH

Distribution robustness optimization method suitable for power distribution network unit combination

The invention discloses a distribution robustness optimization method suitable for a power distribution network unit combination, and the method comprises the steps: constructing a fuzzy set based onstatistical data based on the statistical data of renewable energy output; introducing an auxiliary variable, and rewriting a fuzzy set; based on the fuzzy set, establishing a power distribution network unit combination model based on distribution robustness optimization; converting the model into a mixed integer second-order cone programming model by applying an affine strategy, a strong dual theory and a second-order cone dual theory; and solving the mixed integer second-order cone programming model. According to the method, the problems that stochastic programming depends too much on accurate probability distribution and the calculated amount is too large are solved, and the problem that traditional robust optimization is too conservative is effectively avoided. According to the method,the power distribution network unit commitment model is finally converted into the mixed integer second-order cone programming model which is easy to solve, the calculation efficiency is greatly improved, the model can be directly solved on modeling software such as GAMS, and the solving difficulty is reduced.
Owner:HOHAI UNIV

Second-order cone programming method for solving interval power flow of active distribution network

The invention belongs to the technical field of power system interval power flow calculation and specifically relates to a second-order cone programming method for solving interval power flow of an active distribution network. By converting a nonlinear programming model of the interval power flow of the active distribution network into a second-order cone programming model of the interval power flow of the active distribution network and carrying out calculating, accurate interval upper and lower boundary values of an interval power flow to be solved are obtained, and furthermore, the solutionof the interval power flow to be solved of the active distribution network is obtained through calculation. The method is easy to implement and efficient to calculate, and can be used for online calculation of the interval power flow of the active distribution network; and the obtained interval boundary of a power flow variable is more accurate, is more efficient in calculation and is convenientfor operators of the active distribution network to understand and use. Compared with a nonlinear programming method, the provided cone programming method has better global convergence, and can accurately calculate the interval values of the power distribution network power flow state; and meanwhile, the method has higher calculating efficiency than a Monte Carlo method.
Owner:ELECTRIC POWER RES INST OF GUANGXI POWER GRID CO LTD

Aircraft real-time penetration trajectory generation method and system

The invention relates to an aircraft real-time penetration trajectory generation method and system. According to the method, a second-order cone programming method is used to solve a penetration trajectory optimization problem, penetration trajectories under different initial conditions are obtained, after a data set is generated, a deep neural network is trained by using the generated data set, and a trained deep neural network model is obtained. And then the trained deep neural network model is used as a real-time controller of an attack angle and a heeling angle, and a penetration trajectory is rapidly generated based on the obtained current state parameters of the hypersonic gliding aircraft. In the actual application process, the penetration trajectory can be obtained only by inputting the obtained current state parameters, so that the solving efficiency of the convex optimization problem is improved, and the real-time requirement of the HGV highly dynamic environment is met.
Owner:BEIHANG UNIV

Elliptical object feature extraction method based on maximum entropy criterion

The invention discloses an elliptical object feature extraction method based on a maximum entropy criterion, and the method comprises the steps: carrying out the preprocessing of a picture of an elliptical object so as to remove noise, and detecting all edge data points including outliers; describing an algebraic distance between a to-be-solved ellipse corresponding to the elliptical object part in the preprocessed picture and each edge data point in a model manner; introducing a maximum entropy criterion to obtain an optimization problem based on the maximum entropy criterion; converting theoptimization problem based on the maximum entropy criterion according to the property of the convex conjugate function; decomposing the converted problem into two sub-problems, wherein the first sub-problem can be converted into a standard second-order cone programming problem, and the second sub-problem has a closed-form solution; solving the parameters in a general equation of the ellipse in aniterative mode, obtaining the ellipse corresponding to the ellipse object part in the preprocessed picture through fitting, and then determining the position of the ellipse object is determined. The method has the advantage that the position features of the elliptical object can be accurately extracted.
Owner:NINGBO UNIV

A Design Method of mtd Filter Bank Based on Second-Order Cone Optimization Theory

The invention belongs to the field of signal processing, and discloses an MTD filter bank design method based on second-order cone optimization theory, including: initializing the basic parameters of the filter; searching for parameters, calculating the covariance matrix of ground clutter; obtaining the frequency of interference signals and power and calculate the covariance matrix of interference: obtain the noise power of the radar and calculate the covariance matrix of ground clutter, interference and noise; use a method similar to the minimum variance undistorted response to linearly constrain the filter center frequency; in Under the condition of restricting the side lobe level of the filter's amplitude-frequency response, modify the above linear constraint conditions; transform it into an easy-to-solve second-order cone programming real number problem; design an MTD filter based on the second-order cone programming theory, by limiting the side lobe The lobe level can freely form a deeper notch in the strong interference frequency area or meteorological clutter area, which overcomes the problem of filter distortion near zero frequency and enhances the advantages of low-speed moving target detection.
Owner:XIDIAN UNIV

Target Direction Speech Detection Method Based on Second-Order Cone Programming

The invention relates to a target direction voice detection method based on second-order cone programming, comprising the following steps: designing the beamforming of the lowest sidelobe for the target direction, and calculating the weight of the beamforming of the lowest sidelobe by using the second-order cone programming; constructing Noise estimation weight; Estimate the target signal and noise signal; Calculate the power of the target signal and the noise signal by using the first-order recursive smoothing in the time domain; Use the power of the target signal and the power of the noise signal to calculate the posterior signal-to-noise ratio; The minimum value tracking of the posteriori signal-to-noise ratio is carried out to obtain the minimum value of the posteriori signal-to-noise ratio; the sum of the posteriori signal-to-noise ratio and the minimum value of the posteriori signal-to-noise ratio in the frequency range of 281.25Hz to 3437.5Hz are calculated and the ratio of the sum; judging the magnitude of the ratio and the set threshold to determine whether the voice in the target direction exists. The detection method of the present invention has the advantages of fewer steps and less calculation amount, and the problem of instability of some frequency points can be avoided through frequency domain summation.
Owner:UNISOUND SHANGHAI INTELLIGENT TECH CO LTD

Fractional delay filter design method based on segmented frequency domain optimization

Compared with the conventional technology, the variable decimal time-delay filter design method based on segmented frequency domain optimization has the main advantages that the frequency response error function of the variable decimal time-delay filter is segmented, and the filter coefficient is solved independently through second-order cone programming in each segment; and therefore, the designed variable decimal time delay filter has lower implementation complexity under the condition of meeting the requirements of design indexes. According to the method, the joint optimization of the polynomial order and the sub-filter order can be realized, so that the polynomial orders of different segments are different, the sub-filter orders in the same segment are different, and the realization complexity is further reduced.
Owner:BEIJING INSTITUTE OF TECHNOLOGYGY

Topology optimization method for isotropic materials based on second-order cone programming

The invention discloses a topology optimization method for isotropic materials based on second-order cone programming. The method takes Young's modulus E and Poisson's ratio v of isotropic materials as design variables, and performs singular value decomposition on the unit stiffness matrix. Construct a new decomposition representation of the stiffness matrix; and map the original design variables (E,v) to a new set of design variables (P,Q) through a bijective function, take (P,Q) as the design variables, and convert the original The topology optimization problem is transformed into a second-order cone programming problem, so as to obtain the global optimal (P, Q) solution, and obtain the corresponding optimal Young's modulus and Poisson's ratio through the bijective function; for any given target material category, the continuous solution is hierarchically clustered in (P,Q) space to obtain a high-fidelity discrete solution. By transforming the topology optimization problem of free isotropic materials into a second-order cone programming problem, the method of the invention can theoretically ensure the optimal solution of the problem and can obtain high-fidelity discrete solutions under any specified number of materials.
Owner:ZHEJIANG UNIV

A method for generating multi-rotor UAV flight trajectories based on second-order cone programming

InactiveCN108120442BEfficient trajectory generationThe optimality of flight trajectory results is goodNavigational calculation instrumentsPosition/course control in three dimensionsClassical mechanicsOptimal control
A multi -rotor drone flying trajectory method based on the second -order cone planning is a trajectory planning technology field.The implementation method of the present invention is as follows: In response to the problem of multi -rotor drone trajectory, establish the optimal control model including performance indicators, sports constraints, status constraints, thrust constraints, tilt corners, and obstacle avoidance constraints;Setally transform the optimal control problem into a second -order cone planning problem, and then iterates the second -order cone planning problem, thereby generating a multi -rotor drone flying trajectory that meets complex constraints.The technical problem to be solved by the present invention is: according to the actual task needs, the multi -rotor drone flying trajectory that meets the complex constraints based on the actual task needs to meet the complex constraints. It has the advantages of high trajectory efficiency and the optimal and good trajectory results.
Owner:BEIJING INSTITUTE OF TECHNOLOGYGY

Power supply recovery method and system based on second-order cone programming

PendingCN113629774ASolve the problem of inaccurate status descriptionGuaranteed maximum power restoration levelSingle network parallel feeding arrangementsInformation technology support systemPower flowControl engineering
The invention discloses a power supply recovery method and system based on second-order cone programming. The method comprises the steps of bringing an obtained on-off state, line parameters and distributed power supply output of a power distribution network into a pre-constructed power distribution network power supply recovery model; performing cone relaxation on the power distribution network power supply recovery model based on a set relaxation variable; and solving the power distribution network power supply recovery model after cone relaxation by adopting a second-order cone programming algorithm to obtain the on-off state of the power distribution network and the output of the distributed power supply. According to the power distribution network power supply recovery model, a power distribution network on-off state, a branch node relationship and distributed power supply output are taken as control variables, virtual nodes are added in branches containing switches according to the positions of the switches in the branches, virtual branches are formed based on the virtual nodes, and construction is performed on the basis of branch power flow. Different operation characteristics of sources and loads in the power distribution system are considered, and when a user power failure accident occurs, the maximum power supply recovery level can be rapidly guaranteed.
Owner:CHINA ELECTRIC POWER RES INST +2

A Modeling Method for Backbone Grid Planning Based on Derivation of Network Flow Constraints

The present invention is a backbone grid planning and modeling method based on network flow constraint derivation, and the established mixed integer second-order cone programming model plans the backbone grid, effectively avoiding the efficiency of solving nonlinear problems caused by artificial intelligence algorithms Low and high uncertainty problems, use mature algorithms to solve mixed integer second-order cone programming problems, and deal with backbone grid planning problems under different requirements based on the model proposed by the present invention, with fast calculation speed and good robustness , high flexibility, and strong scalability, effectively improving the efficiency of backbone grid planning.
Owner:ELECTRIC POWER RES INST OF GUANGXI POWER GRID CO LTD

Integrated voltage and reactive power optimization method for smart distribution network based on mixed integer cone programming

The present invention provides a mixed integer cone programming based intelligent distribution system synthetic voltage reactive power optimization method. The method comprises: inputting a distribution system structure and a parameter of a distribution system; establishing a time sequence optimization model of a distribution system synthetic voltage reactive power control problem considering various types of adjustment means; converting the established model into a mixed integer second-order cone model; solving the obtained mixed integer second-order cone model by using a mathematical solver capable of solving mixed integer second-order cone programming; and outputting a solution result. The method provided by the present invention greatly reduces solving difficulty and facilitates performing solution by using a solving tool, so that a complex mixed integer non-linear programming problem can be solved, cumbersome iteration and a large number of tests are avoided, and the calculation speed is greatly improved.
Owner:天津白泽清源科技有限公司

Method and device for establishing weir body model

The invention discloses a method and device for establishing a weir body model. The method comprises the following steps: obtaining the geometric dimension of a weir body, and constructing a second-order cone programming model according to the geometric dimension of the weir body; calculating dissipated energy of each unit in the second-order cone programming model; determining and marking an encryption unit and a sparse unit in the second-order cone programming model according to the dissipated energy sequence of each unit; adding a new node on the long edge of the encryption unit, adding a new node on the common edge of the two sparse units, and deleting two end points of the common edge to form a node cloud set; a second-order cone programming model based on Delaunay triangulation redivision is established according to the node cloud set, and when the new second-order cone programming model meets preset initial and boundary conditions, the new second-order cone programming model serves as a weir body model; according to the method, the second-order cone programming model can achieve the effect of simulating the sliding surface in a long, narrow and dense grid form, the key parameters of the sliding surface are accurately defined, and a basis is provided for formulating engineering measures.
Owner:CHINA RAILWAY TUNNEL GROUP CO LTD +1

A reactive power and voltage operation control method for active distribution network based on extended cone programming

ActiveCN108199387BImprove power quality of power supplyTo achieve the effect of optimal operation controlLoad forecast in ac networkSingle network parallel feeding arrangementsPower qualityDistribution transformer
The invention relates to the technical field of active distribution network running optimization, in particular to an active distribution network reactive voltage running control method based on an extending cone plan. The method comprises the steps of obtaining basic data of active distribution network reactive voltage running control, building an active distribution network reactive voltage running control model based on the extending cone plan, solving a nonlinear plan model through a nonlinear plan optimizer, obtaining an active distribution network reactive voltage running control schemeand making a distribution network running control center issue a motion instruction to corresponding electrical execution equipment. Reactive resources of electrical equipment like a distributed powersource, a distribution transformer, a static reactive compensation device and a grouped switching capacitor set in an active distribution network can be effectively regulated, the effect of reactivevoltage optimizing running control is achieved, and thus the power supply electric energy quality of the distribution network is improved.
Owner:广东电网有限责任公司韶关供电局

Active power distribution network distributed energy storage system optimal configuration method and device

The invention provides an active power distribution network distributed energy storage system optimal configuration method and device. A traditional energy storage optimal configuration method and a shared energy storage idea are combined to establish a three-layer planning model of shared energy storage optimal configuration, namely an upper-layer model, a middle-layer model and a lower-layer model, and the model is solved by adopting a method of combining a genetic algorithm and cone programming.
Owner:STATE GRID ENERGY RES INST +1

A Cone Programming-Based Local Voltage Control Strategy Tuning Method for Distributed Power Sources

The invention provides a distributed power supply local voltage control strategy setting method based on cone programming. An active power distribution system structure and parameters are inputted according to a selected active power distribution system; the sequential characteristics of distributed power supply output and load are considered according to the active power distribution system structure and parameters, and an active power distribution network distributed power supply local voltage control strategy setting model is established; the objective function in the model is linearized, and linearization or cone conversion is performed on the nonlinear constraint so that the active power distribution network distributed power supply local voltage control strategy setting model is enabled to be converted into a second-order cone model; the second-order cone model is calculated by using a mathematical solver solving second-order cone programming; and the solving result is outputted, including the relevant parameters of the distributed power supply local voltage control strategy, the voltage distribution situation of the distributed power supply, the reactive compensation situation and the active reduction situation. The distributed power supply local voltage control strategy can be obtained so that the setting problem of the distributed power supply local voltage control strategy under continuous time sequences can be solved.
Owner:TIANJIN UNIV +1

Hierarchical optimization method for active power distribution network based on second-order cone programming and demand side management

The invention discloses an active power distribution network hierarchical optimization method based on second-order cone programming and demand side management. The user layer divides the load into peak-valley-normal periods, determines peak-valley electricity prices, and makes different management means for different load types to achieve a peak-clipping and valley-filling effect; the power distribution network layer takes the minimum network loss as a target, considers the control of active regulation and control objects such as photovoltaic power generation, wind power generation, an energy storage system, a static var compensator and a grouped switched capacitor bank, and converts the optimal power flow problem into a second-order cone programming model by a second-order cone relaxation technology. According to the method provided by the invention, peak clipping and valley filling can be realized by performing different demand side management on different loads, the power supply pressure of the system is relieved, and the active power distribution network hierarchical optimization model considering the demand side management not only can effectively reduce the network loss of the system, but also can reduce the power consumption cost of users.
Owner:NANCHANG UNIV

Beamforming method and heterogeneous cloud wireless accessing network based on same

The invention discloses a beamforming method and a heterogeneous cloud wireless accessing network based on same. The method comprises the following steps of calculating data transmission rate of a cellular user, calculating the data transmission rate of an RRH user, calculating the total data transmission rate and total power consumption of the heterogeneous cloud wireless accessing network, determining a beamforming vector combined optimization problem of an MBS and a RRH, and solving a beamforming vector combined optimization problem of the MBS and the RRH. The heterogeneous cloud wireless accessing network comprises a baseband processing unit pool and a plurality of macrocellular networks. Each macrocellular comprises a macro base station MBS, a plurality of wireless remote RF module (RRH), a plurality of cellular user and a plurality of RRH users. According to the method, an original optimization problem is converted to an easy processing two-order cone programming method, therebyimproving energy efficiency of the heterogeneous cloud wireless accessing network, suppressing interference in the network and reducing total power consumption of the network.
Owner:NANJING UNIV OF POSTS & TELECOMM
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