37results about How to "Increase and rate" patented technology

The invention discloses an allocation method for wireless resources of an ultra dense network based on dynamic clustering. The allocation method comprises a base station dynamic clustering process and a resource block allocating process, and is characterized in that in the base station dynamic clustering process, dynamic clustering is performed on base stations randomly distributed in the network, a lot of base stations in the network are clustered according to an improved K-mean clustering method, and an effective allocation space is provided for inter-cluster resource block allocation of different modes of users; and in the resource block allocating process, joint processing is performed on single base station resource allocation of center users and inter-cluster CoMP resource allocation of edge users according to a clustering result in the step one, resource blocks with an excellent channel state of the base stations are allocated preferentially in clusters where the users are located according a provided proportional fairness based resource block allocation method, the received interference is reduced at the same time, the proportional fairness among the different modes of users is ensured, and an optimal resource block allocation result is acquired. The method disclosed by the invention can effectively improve the sum rate of the system users and achieves an ultimate objective of overall network resource optimization.

The invention discloses a beam allocation method, device and system for a multi-user millimeter wave communication system, and belongs to the technical field of wireless communication. The beam allocation device includes a beam search module, an initialization selection module, a path number determination module, a single path priority determination module, a beam allocation module, a single path user beam allocation module, an adjustment update module, and a circulation termination determination module. The method makes full use of multipath information when different users communicate with a base station and performs beam allocation to users through the base station so that a maximum number of users can be served simultaneously when the base station can allocate mutually different transmission codewords to all service users, and the user rate is greatly increased.

The invention relates to a D2D-P multiplexing cellular network communication method capable of increasing a frequency spectrum utilization rate. The method comprises the following steps of S1, establishing a cellular network; S2, according to Hk,m, using an interference alignment method to acquire a solution set of an N row and d column precoding matrix Fm of each D2D-Pm; S3, calculating an interference matrix Hk,mFm of the D2D-Pm to CUk and designing an N row and d column cellular user postposition coding matrix Wk orthogonal to the Hk,mFm; S4, using the interference alignment method based on a minimum mean square error to acquire transmitter precoding matrixes Fm and receiver postposition coding matrixes Gm of all the D2D-Pm and carrying out communication; S5, setting a SINR threshold omegath of the D2D-Pm and determining whether the D2D-Pm is connected to the cellular network; S6, using an improved water injection power distribution method to send power to all the D2D-Pm distribution; and S7, according to results of the step S2 to the step S6, carrying out communication. Compared to the prior art, by using the method, interferences of the D2D-Ps on a cellular user are aligned to a cellular user position; a communication priority of the cellular user is guaranteed; mutual interference among the D2D-Ps is controlled and a D2D-P sum rate is increased.

The invention relates to an ultra-dense millimeter wave D2D communication interference management method. The method mainly solves the problem that beam width selection and resource allocation cannotbe considered at the same time in the aspect of interference management in the prior art. The invention provides an ultra-dense millimeter wave D2D communication interference management method based on combined beam width selection and resource optimization. The ultra-dense millimeter wave D2D communication interference management method comprises the following steps that firstly, system modelingand interference management problem modeling are conducted on a millimeter wave D2D communication system; Secondly, beam width selection is conducted through particle swarm optimization, and an optimal beam width vector is obtained; Finally, optimal joint power and time slot allocation vectors are obtained through resource optimization based on convex optimization approximation; According to the interference management method based on combined beam width selection and resource optimization, interference can be effectively managed, the number of parallel transmission links is increased, and a higher system and a higher rate are obtained.

The invention provides a resource allocation method for channel condition optimization in NOMA of a low-density code and belongs to the field of wireless communication. According to the method, a resource allocation method capable of maximizing the system sum rate is provided to match the phenomenon that different channel conditions exist between users; that is, through the channel condition information of the user obtained by a base station, the optimization problem of maximizing the sum rate is established under the condition that the sparsity constraint and the power constraint are guaranteed; the non-convex optimization problem is converted into a series of convex problems, which are solved through an iterative algorithm; and an approximate optimal RE mapping and power distribution scheme is obtained. Compared with an existing resource allocation method, the sum rate of the low-density code NOMA system is improved; and the block error rate (BLER) performance is improved.

The invention discloses a multi-user downlink three-dimensional statistics beam forming adaptive transmission method using channel mean information. A uniform planar antenna array is taken as a base station. The transmission method comprises the following steps: for an FDD (Frequency Division Duplex) system, each user calculates respective channel mean information, namely, a Rice factor, a channel mean vertical direction main mode and a horizontal direction main mode, by using a channel estimation result, and feeds the calculated respective channel mean information to the base station; for a TDD (Time Division Duplex) system, the base station calculates the downlink channel mean information of each user by using an uplink channel estimation result; and the base station selects a service user according to the obtained channel mean information, and performs pre-coding transmission on the service user. Through adoption of the multi-user downlink three-dimensional statistics beam forming adaptive transmission method using the channel mean information provided by the invention, the robustness of a system is enhanced effectively, and a large average mutual information amount can be obtained at low calculation complexity.

A self-adaptive transmission method using channel statistical information in a multi-user downlink transmission system can greatly improve the frequency spectrum utilization rate and the power efficiency. The transmission method is carried out according to the following steps: each user calculates the respective channel statistical information, i.e. channel characteristic mode coupling matrix, transmission correlation matrix and noise variance on each receiving antenna, according to the channel estimation result; and the base station performs power distribution and precoding transmission according to the channel statistical information fed back by each user. The invention provides the self-adaptive transmission scheme for the multi-user downlink transmission system using the channel statistical information, and the method can adjust the transmission parameters according to the channel statistical characteristics of the channel so as to acquire higher sum rate.

The invention relates to the technical field of wireless communication, discloses a reflector-assisted cell-free large-scale MIMO network intelligent joint beamforming method, and solves the problems in the prior art that the optimization design complexity is relatively high, the calculation consumption is relatively large, and real-time optimization solution is difficult to carry out according to the change of an environment channel state. According to the method, based on a deep reinforcement learning method, optimization design of a beamforming vector of a base station and a reflection coefficient matrix of an intelligent reflection surface is carried out according to global channel state information observed in an environment. According to the deep reinforcement learning algorithm designed by the invention, the sum rate of users in the system can be greatly improved, and once the deep neural network after training convergence is obtained, time for optimization solution and computing resource overhead do not exist any more, and rapid and real-time response can be made to the change of the channel state in the environment.

A multi-user downlink transmission system self adaptive transmission method by using channel statistical information can greatly improve frequency spectrum utilization and power efficiency of a communication system. The transmission method comprises the following steps that: users use results of channel estimation to calculate the channel statistical information of their own, namely, a channel characteristic mode coupling vector and the noise variance of receiving antennas of different users; and a base station selects served users and carries out power distribution and precoding transmission, based on the feedback channel statistical information from the users. The invention provides a multi-user downlink MISO transmission system self adaptive transmission scheme by using channel statistical information. The method can adjust transmission parameters according to statistical characteristics of the channel, and can acquire a relatively high sum data rate.

The invention provides an unmanned aerial vehicle deployment method for collecting forest fire prevention monitoring data, and the method specifically comprises the following steps: (1), constructingan uplink communication system in which ground sensor nodes are connected to an aerial unmanned aerial vehicle base station, and the system comprises a plurality of rotor unmanned aerial vehicles andthe ground sensor nodes; (2) constructing an optimization problem aiming at maximizing the sum rate of data uploaded to the unmanned aerial vehicle base station by the ground sensor nodes; (3) constructing an optimization model based on the game theory, and the problem in the step (2) being modeled into a non-cooperative game model with the unmanned aerial vehicle as a participant; and (4) iteratively obtaining a deployment strategy of the unmanned aerial vehicle by adopting a distributed learning algorithm until the optimization problem in the step (2) is optimal, and determining the final position of the rotor unmanned aerial vehicle. On the premise of guaranteeing the QoS of the sensor nodes, the maximum sum rate between the unmanned aerial vehicle and the ground sensor nodes in the whole system is achieved.

The invention provides a power distribution mechanism for a decode-and-forward relay system. The decode-and-forward relay system comprises i sending ends, i receiving ends and a relay R. The sending ends Si (i is equal to 1, 2, ...) respectively send two parts of information, wherein each part of the sending information is limited by the corresponding sending power; and the relay R receives and decodes the information and transfers the information to the receiving ends Di (i is equal to 1, 2, ...), and the information is limited by the sending power of the relay R. The power distribution mechanism of the invention distributes an index to the sending power of each part of the information in the decode-and-forward relay system, so that the power of each part is an index function of the total power and corresponds to a power index distribution factor; and the power index distribution factor in the method is used for representing the speed rate and multiplexing gain of the decode-and-forward relay system so as to simplify the analysis of the decode-and-forward relay system. According to the characteristics of the actual system, the corresponding power index distribution factor is improved so that the speed rate or the multiplexing gain of the system is improved.

The invention provides a 3D-MIMO downlink multi-user scheduling and adaptive transmission method. A base station adopts a uniform plane antenna array, and the method comprises the following steps of:in an initial state, calculating beam forming indexes of each user in horizontal and vertical directions by utilizing statistic channel information; and carrying out multi-user scheduling by adoptinga smallest similarity degree method, selecting a service user with the smallest similarity degree to calculate a precoding vector and carrying out precoding transmission. The method can effectively reduce interference among the users, can obtain high system throughput with low calculation complexity, can obtain a high sum rate, and is high in robustness and easy to implement; only the statistic information of a channel is required, and thus, the 3D-MIMO downlink multi-user scheduling and adaptive transmission method requires a small channel information amount and is applicable to various typical wireless communication systems; and due to simultaneous consideration to influence of a line of sight of the channel and a correlation matrix, the channel has higher universality.

The invention discloses a method for optimizing a zero-forcing precoding matrix of a visible light communication system. The method comprises the following steps of: firstly, establishing a sum rate maximization model, then converting the sum rate maximization model into iterative solution for a non-convex problem, in the iteration, replacing a unique non-convex constraint with a convex constraintby utilizing the Cauchy Schwartz inequality and the AM-GM inequality, solving a convex problem to obtain a pre-coding matrix, stopping iteration when a convergence condition is met, and taking the pre-coding matrix as a final result, otherwise, continuing the next iteration. According to the invention, a higher sum rate is obtained under the same optical power constraint condition.

The invention relates to a multi-user millimeter wave large-scale MIMO channel estimation method. The method comprises the following steps of 1) establishing a multi-user millimeter wave large-scale MIMO system and a channel model, 2) modeling signals received by multiple users into a third-order tensor model, and then acquiring a user group through convolution segmentation and K-means clustering, 3) establishing a user group dictionary containing multi-user channel information by using sparsity recovery of the signals, 4) performing dimensionality reduction on a user group channel by using manifold learning, and establishing a multi-user channel tensor dictionary manifold learning model, and 5) eliminating interference of other user group channels by using a tensor alternating direction method, and obtaining angle information and delay information of the user group channels by adopting multi-signal classification. Compared with the prior art, the method has the advantages that the problems of low resolution and inaccurate estimation in multi-user channel estimation can be solved, and the like.

The invention relates to a user classification method for the relay auxiliary data transmission of the wireless communication, which belongs to the wireless data transmission technology field. One of the technical proposals of the method is that: a Kth user is arranged in the communication system, the large scale of the straight link is declined to Mu0k when the data is received, the large scale between a base station and a relay is declined to Mu1, the large scale between the relay and the users is declined to Mu2k, wherein, the Mu0k can be taken as the measurement of the straight link, the harmonic mean 2Mu1* Mu2k/(Mu1+ Mu2k) of the Mu1 and the Mu2k can be taken as the measurement of the relay link, if the Mu0k is bigger than or equals to the 2Mu1* Mu2k/(Mu1+ Mu2k), the kth user can be placed into the straight user congregation, if the Mu0k is smaller than the 2Mu1* Mu2k/(Mu1+ Mu2k), the k user can be placed into the relay user congregation, and above operation is executed to all users in the ergodic communication system, so as to obtain the straight user congregation and the relay user congregation. The method can effectively alleviate the effects to the communication system performance due to the signal channel lager scale decline, so as to enable the speed of the system to be improved.