62 results about "Mimo relay" patented technology

A method, and an apparatus, for self-interference suppression in a relay (300) for wireless communication, wherein the relay (300) is arranged for receiving a signal r(n) transmitted from a transmitter (301), and for transmitting a self-interference suppressed transmit signal xr(n) to a receiver (305). The self-interference suppressed transmit signal xr(n) is achieved by determining (402) a receive suppression filter matrix Wr (302), determining a relay amplification matrix G (303), and determining (403) a transmit suppression filter matrix Wt (304), and then applying the suppression filters and the amplification matrix to the received signal r(n).

This invention provides a relay precoder selection method for two-way amplify-and-forward multiple-input multiple-output (MIMO) relay systems and communication devices using the selection method or the selected relay precoder. According to the relationship between a relay precoder and the singular values of the effective MIMO channels, a set of candidate relay precoders are constructed based on the singular vector subspaces of cascaded MIMO channels, and one of them is selected for meeting a specific design criterion, such as the minimum sum of mean-squared errors, the maximum sum of channel capacities, and the minimum or maximum sum of condition numbers, where the condition number is defined as the ratio of the largest to the smallest singular value of a MIMO channel. As compared with the iterative design methods with the best performance, this invention achieves close performance while requiring much lower computational complexity.

A wireless communication system with directional transmission for simultaneously relaying communications between an access point (AP) and multiple radio nodes in the network which are in a first category that supports multiple-input-multiple-output (MIMO) capability, or a second category having different signal processing capabilities. Utilizing a superframe, which is a modification of an existing protocol, a relaying service period (SP) controls multiple simultaneous training and data transmission frames. The AP selects a relay device from the radio nodes based on metrics selected from signal strength, estimation of air time, category of radio node, AoA / AoD, power connectivity. This allows data to be communicated in a MIMO hop from said AP to the selected relay device, with a multi-user (MU) MIMO hop from the selected relay device and a destination radio node (client).

The invention discloses a pre-coding method of a MIMO relay system having a channel estimation error and antenna correlation. Under a condition that both the power of a transmitting end and the power of a relay end are limited, closed-form solutions of a pre-coding matrix of the transmitting end, a pre-coding matrix of the relay end and a processing matrix of a receiving end are obtained by derivation in a manner of taking a minimum mean square error as a criterion; therefore, the system performance can be improved well; a joint iterative algorithm for calculating the pre-coding matrix of the transmitting end, the pre-coding matrix of the relay end and the processing matrix of the receiving end is given; the joint iterative algorithm has good convergence and practical value and is easy to implement; the MIMO relay system is combined with problems of the channel estimation error and the antenna correlation; the condition that incomplete channel state information exists in a practical condition is considered; the pre-coding method of the MIMO relay system under the condition of the channel estimation error and the antenna correlation is implemented to improve the performance of the MIMO relay system based on the incomplete channel state information condition; and thus, the pre-coding method has wide application prospect.

The invention discloses a method and a system for realizing antenna selection in an MIMO relay system. Antenna selection is respectively carried out on a relay node and a source node according to a signal to noise ratio; the corresponded relay node and the corresponded source node are respectively notified by the selected transmitting antennas; and then the relay node and the source node respectively use the notified transmitting antennas to carry out signal emission. According to the method and the system provided in the invention, it can be ensured that a relay node and a source node only select one antenna among a plurality of antennas for signal emission, wherein the relay node and the source node are utilized as emission nodes; and a feedback information contents, which is obviously less than that in a traditional technical scheme, can be generated, so that a design complexity can be effectively reduced.

The invention discloses a coding method for a space-time interlaced recurrent code directed at a full duplex cooperative communication system. In a full duplex MIMO relay cooperative communication network, a relay node adopts a full duplex mode to receive and send signals; two antennas are arranged on an originating node and a destination node respectively; a plurality of sending antennas and a plurality of receiving antennas are arranged on the relay node; the originating node modulates a sending signal, and sends the modulated signal to the relay node; the relay node adopts an AF (amplification and forwarding) method to amplify the received signal and forward the amplified signal; the destination node receives the signal forwarded by a relay link; decoding is conducted according to a minimum mean square error criterion; the information of the originating node is recovered through demodulation. As the relay node adopts the full duplex mode and space-time interlaced recurrent coding scheme, not only is the decoding method higher in spectrum efficiency, but also asynchronous cooperation full mark transmission gain can be obtained, and the reliability of the cooperative communication system can be improved.

The invention provides a signal sending method based on code book precoding in an MIMO (Multiple Input Multiple Output) relay system. The method comprises the steps of: constructing code books W1 and W2 which both comprise an optimal precoding matrix and a power allocation matrix respectively for a first jump channel and a second jump channel according to a minimized average quantization error criterion; selecting optimal code words from the code books W1 and W2 by a relay end and a terminal respectively according to the state information of the first jump channel and the second jump channel and feeding back index values of the optimal code words in corresponding code books respectively to a source end and the relay end; and acquiring corresponding optimal code words from corresponding code books by the source end and the relay end, encoding according to the optimal precoding matrix and the power allocation matrix which are contained in the optimal code and sending signals. The methodcan improve the property of the whole MIMO relay system and reduce the feedback delay of system feedback.

The invention discloses a power allocation combining multi-antenna terminal cooperation type multiple input multiple output (MIMO) relay selection method, and relates to a multi-antenna terminal cooperation type MIMO relay selection method. The optimal relay selection of a multi-antenna terminal cooperative system is realized, so that system performance is improved. The method comprises the following steps of: selecting a user i from a set of all users not finding a relay node, and calculating the minimum transmitted power Pnci of the user i, wherein a value xii of a signal to noise ratio between the user i and a base station is minimum under unit transmitted power, and under the minimum transmitted power Pnci of the user, a bit error rate is ensured not to be greater than a preset value pe in a direct transmission mode; selecting a user j corresponding to a minimum value of required minimum total transmitted power Pcoj as a relay user j from M users in a candidate relay node user set, wherein the xiij of each of the M users is greater than the xii, and the xij of each of the M users is greater than the xii; calculating minimum total transmitted power Pcoij required by the users i and j in a cooperative mode; and when the Pcoij is lower than the Pnci, selecting the user j as a relay node of the user i to finish the relay node selection of the user i. The method is applied to multi-antenna terminal cooperation type MIMO relay node selection.

The invention discloses an antenna and power joint allocation algorithm based on group match, which belongs to the field of mobile communication. The algorithm comprises the following steps: firstly, a simulation scene for an MIMO relay network is built; each transmission user transmits channel state information to a base station, and a channel state matrix is formed; the base station sets a threshold, transmission users are grouped, with the group as a unit, power of a transmission antenna in each group is adjusted and allocated, and the power is broadcasted to the transmission users; and finally, the base station uses groups of receiving users as units, power of all base station antennas in each group is adjusted and allocated, antennas inside the base station transmit data of the transmission users to the receiving users according to the power value after adjustment, and the communication process is over. The antenna and power joint allocation algorithm based on group match has the advantages that the group match algorithm is introduced in relay system resource allocation, the system resource allocation complexity is reduced, the calculation time is saved, and while QoS requirements of a user system are ensured, the system spectrum efficiency is maximum.

The present invention discloses a combined signal detection and channel estimation method in a MIMO relay system, The combined signal detection and channel estimation method in the MIMO relay system includes that an ALS algorithm is adopted to fit a constructed PARAFAC model; a receiving end knows an extended code matrix C, and C is a Vandermonde matrix; for two unknown loading matrixes, one of the matrixes is updated in one step, the estimated matrix is taken as the initial value of a matrix to be estimated, and the successive alternant iteration updating is carried out until the convergence. Compared with a conventional channel estimation method and an existing PARAFAC model channel estimation method, the method provided can effectively estimate the signals without transmitting the channel training sequence and can estimate the CSI of the relay system channel at the same time.

The invention relates to an MIMO relay charging method based on magnetic resonance and DQN, and the method consists of four circuits: a TX circuit transmitting end circuit, a Relay circuit relay end circuit, an RX circuit receiving end circuit, a control circuit of a TX-relay controller transmitting end relay end, and the TX circuit transmitting end circuit, the Relay circuit relay end circuit, and the RX circuit receiving end circuit are all controlled by the control circuit of the TX-relay controller transmitting end relay end. According to the invention, the wireless charging distance is significantly improved, the wireless charging action range is increased, the wireless charging availability is enhanced, the positive influence on the application of wireless magnetic charging is achieved, and the development of wireless charging is facilitated.

The invention discloses a self-interference eliminating method in a two way full-duplex MIMO relay communication system. The method aims at addressing the problem of neglecting system capacity property while taking into consideration of minimizing self-interference of prior art. The method includes the following steps: 1. estimating channel parameters; 2. designing the transmission of a first source node, receiving a beam forming matrix to eliminate the self-interference of the first source node; 3. designing the transmission of a second source node, receiving a beam forming matrix to eliminate the self-interference of the second source node; 4. and designing the transmission of a relay node, receiving a beam forming matrix to eliminate the self-interference of the relay node, and at the same time selecting the transmission that conform to conditions, and receiving a beam forming matrix and maximizing the system capacity. According to the invention, the method eliminates the self-interference of the relay node as well as the self-interference of the two source nodes, can maximize the system capacity while eliminating self-interference, and can be used in distributed cooperation transmission system of future fifth generation of wireless mobile communication.

A Multiple-Input Multiple-Output (MIMO) relay system is provided. The MIMO relay system performs signal processing to provide requested real data to at least one selected user mobile station sequentially connected to a first relay station located in a first cell and a second relay station located in a second cell using spare frequency capacity allocated to a first base station of the first cell instead of a second base station of the second cell that drops the requested real data due to its frequency capacity being exceeded, thereby improving reliability of seamless real data input / output in relay communication, reducing call drop probability, and raising availability of frequency capacity by automatically adjusting frequency capacity allocated between cells.

A method and system of mmWave to microwave MIMO relay (M4R) is disclosed, which combines broad bandwidth of mmWave link and better penetration and the more abundant spatial channels in the microwave band to form high speed wireless links. In one embodiment, it is configured to use frequency translational relay units in RF to connect frequency multiplexing mmWave channels and MIMO microwave channels to realize seamless pathway of information flow and avoid bottleneck in data traffic. System principle and link budget analysis shows that the M4R system may significantly improve the link performance and maximize the channel capacity for high speed outdoor to indoor communications.

The invention discloses a power distribution method of a hardware damage large-scale MIMO bidirectional relay system under MR preprocessing, which is used for distributing power for each user and a large-scale MIMO relay to maximize system spectrum efficiency. The method comprises the following steps: 1, by the hardware damage large-scale MIMO bidirectional relay, receiving a pilot channel sent bya bidirectional user, and obtaining an estimated channel matrix; 2, according to estimated channel information, the number of users and the number of base station antennae, calculating an uplink MRCreceiving detection and downlink MRT precoding matrix; 3, according to limit of system total power, building a non-convexity optimization function for maximizing the spectrum efficiency, and converting the non-convex optimization function into a convex optimization function; 4, according to the convex optimization function, calculating distribution power of each user and the large-scale MIMO relay. The method considers large-scale MIMO hardware damage and LOS / NLOS fading environment, and can provide a power distribution scheme for the user and the large-scale MIMO relay more rationally.

The invention discloses an MIMO (multiple input multiple output) cooperative relay selection method. The method includes: employing MIMO channel capacity, node normalized transmitting power, receiving antenna signal-to-noise ratio balance and MIMO channel relevancy as inputs of a fuzzy algorithm, employing two fuzzy rules, with the primary fuzzy rule being used for describing correlation among the MIMO channel capacity, the node normalized transmitting power and MIMO relay selection and the secondary fuzzy rule being used for describing the correlation among the receiving antenna signal-to-noise ratio balance, the MIMO channel relevancy and the MIMO relay selection, by means of the fuzzy algorithm, fusing MIMO relay selection results which are output and which pass the fuzzy rules, and thus determining the MIMO relay node required. The method has the advantages that the characteristics of the MIMO technique are fully considered, the characteristics are combined with the relay selection problem by means of the fuzzy mathematics, the novel MIMO relay selection method simple and practical is formed, performance of an MIMO cooperative communication system is further improved, and the method is of good flexibility and low implementing complexity.

The invention relates to a beam forming and antenna selection grouping algorithm joint design optimization method, and belongs to the technical field of wireless communication. The method comprises the following steps that 1, expressions of various node receiver and node senders in the application scene are enumerated one by one, and elements directly related to a throughput expression are found out; 2, it is supposed that antenna groups are fixed, optimal beam forming vectors for a source node A and a source node B are solved by adopting a maximum generalized eigenvalue respectively, and an optimal beam forming vector of an overall system is obtained by means of a vector mapping theorem; and 3, antenna grouping scheme calculation is conducted according to the optimal beam forming vector to obtain the optimal system and throughput. According to the method, studying on the antenna selection and beam forming joint optimization based on the full-duplex bidirectional MIMO relay system is considered, and the system and the throughput are improved maximally.

The embodiment of the invention provides a power distribution method in a wireless energy-supply MIMO relay system, and the wireless energy-supply MIMO relay system. The power distribution in the wireless energy-supply MIMO relay system comprises the following steps: decomposing a first channel matrix and a second channel matrix of the wireless energy-supply MIMO relay system so as to obtain a first diagonal matrix corresponding to the first channel matrix and a second diagonal matrix corresponding to the second channel matrix; representing a second precoding matrix corresponding to the transmission in the source node and the relay node and a third precoding matrix corresponding to the transmission information in the relay node and the destination node by using the first diagonal matrix and the second diagonal matrix, thereby obtaining a first influence factor corresponding to the second precoding matrix and a second influence factor corresponding to the third precoding matrix; and computing the first influence factor and the second influence factor, and distributing the power of the wireless energy-supply MIMO relay system through the first influence factor and the second influence feactor.

Provided is a MIMO repeater system including a plurality of repeaters. Each of the repeaters includes: an Rx antenna; a receiver configured to convert a signal received through the Rx antenna into a digital signal; an interference cancellation unit configured to cancel interference from an output signal of the receiver; a transmitter configured to convert an output signal of the interference cancellation unit into an analog signal; and a Tx antenna configured to transmit an output signal of the transmitter, and the interference cancellation to unit provided in each of the repeaters receives the output signal of the receiver as an input signal, receives reference signals provided from the plurality of repeaters as a reference signal vector, outputs a prediction signal according to a current filter coefficient vector generated in response to the input signal and the reference signal vector, and cancels the prediction signal from the input signal.

The invention discloses a bidirectional and duplex MIMO (Multiple Input Multiple Output) relay antenna selection and safety transmission method. A duplex MIMO relay system comprises a user A, a user B, a relay and an eavesdropper, wherein the user A, the user B, the relay R and the eavesdropper E are provided with a plurality of antennas; the method comprises the following steps: acquiring a transmitting antenna of the user A, a transmitting antenna of the user B and a receiving antenna of the relay; acquiring a receiving antenna of the user A, a receiving antenna of the user B and a transmitting antenna of the relay; acquiring a receiving signal-to-noise ratio of the user A, a receiving signal-to-noise ratio of the user B and a receiving signal-to-noise ratio of the eavesdropper E based on the transmitting antenna and the receiving antenna of the user A, the transmitting antenna and the receiving antenna of the user B and the receiving antenna and the transmitting antenna of the relay; acquiring an instantaneous safety capacity of the duplex MIMO relay system based on the receiving signal-to-noise ratio of the user A, the receiving signal-to-noise ratio of the user B and the receiving signal-to-noise ratio of the eavesdropper E. According to the bidirectional and duplex MIMO relay antenna selection and safety transmission method, optimal transmitting and receiving antennas areselected and the safety capacity of the whole system can be effectively improved.

The embodiment of the invention provides a power allocation method in a wireless energy supply MIMO relay system and the wireless energy supply MIMO relay system. The power allocation method in the wireless energy supply MIMO relay system comprises the steps of decomposing a first channel matrix and a second channel matrix of the wireless energy supply MIMO relay system, thereby obtaining a seconddiagonal matrix corresponding to the second channel matrix; representing a second precoding matrix and a third precoding matrix corresponding to transmission information in a source node and a relaynode through utilization of a first diagonal matrix and the diagonal matrix, thereby obtaining a first influence factor and a second influence factor; obtaining an optimization formula by calculatingthe first influence factor and the second influence factor according to the first influence factor and the second influence factor; and allocating power of the wireless energy supply MIMO relay systemaccording to the optimized first influence factor and the optimized second influence factor which are obtained through calculation according to the optimization formula.

The invention discloses an MIMO relay antenna design method, and relates to a relay antenna design method by considering hardware imperfectness and power constraint and optimizing the SNDR. Two scenes, namely the total power constraint of a relay antenna and the power constraint of a single antenna, are included; information is sent from a source node, and transmitted to a relay node through a channel; then, the relay node transmits the information to a destination node through a channel by antenna amplification and forwarding, wherein when being sent by the source node and the relay node, theinformation can be influenced by the hardware imperfectness factor, so that corresponding damage distortion is caused; in the total power constraint scene, on the basis of the matrix vectorization, the SNDR optimization problem of an MIMO relay system is equivalently converted into the general Rayleigh entropy form; furthermore, an antenna matrix vector type closed-form solution when the SNDR ismaximum is obtained; in the power constraint scene of the single antenna, on the basis of rank decomposition and randomization, an optimization problem numerical value solving algorithm taking the SNDR as a target function is given; and thus, performance improvement of a network system is realized to a certain degree.

The invention relates to a non-iterative channel estimation method in a bidirectional multiple input multiple output (MIMO) relay system. For the bidirectional MIMO relay system, the problem that in an existing channel estimation method, the load of a relay node is excessive and the channel estimation precision is relatively low is mainly solved. The method comprises the realization steps of 1), abidirectional MIMO relay channel model of a matrix form is established; 2), two users sends quadrature channel training sequences to a relay at the same time; 3), the relay amplifies received signalsthrough adoption of a designed amplification factor and forwards the amplified signals to the users; 4), each user rearranges the received signals and establishes two matrixes with Khatri-Rao productstructures; and 5), designing a low complexity algorithm according to the special structures of the established matrixes, and estimating all channel state information of the system. The method has the advantages of fast channel estimation speed and high channel estimation precision, and the method is applicable to both a time division system and a frequency division system.

The invention provides a joint optimization method and device of a transceiver in a wirelessly powered MIMO relay system. The method comprises the following steps: acquiring a signal characteristic ofa signal to be transmitted, a first channel matrix, a second channel matrix, a third channel matrix, a first energy conversion rate and a second energy conversion rate; respectively decomposing the first channel matrix and the second channel matrix to obtain a first diagonal element and a second diagonal element; calculating according to the signal characteristic, the first diagonal element, thesecond diagonal element, the first energy conversion rate and the second energy conversion rate to obtain energy conversion efficiency corresponding to the system; and optimizing a time switching factor of the system and each precoding matrix according to the energy constraint condition with reference to the first channel matrix, the third channel matrix, the energy conversion rate, the signal characteristic and the nominal power and peak power of a source node. By adoption of the method, the communication process of each node of the system can be optimized, the adjustable degree of freedom ofthe precoding matrix is improved, and the signal transmission rate of the system is enhanced.

An iterative elimination method for interference between MIMO relay communication nodes includes: a step A of acquiring transmit beamforming vectors ti and tj; a step B of acquiring current reception beamforming vectors ci and cj; a step C of updating current transmit beamforming vectors t^i and t^j; a step D of determining whether a value of a convergence indication parameter is smaller than a reference threshold value, if no, returning to execute the step B, and if yes, executing a step E; the step E of obtaining amplification factors gammai and gammaj of relay nodes Ri, Rj; a step F of obtaining a transmit beamforming signal of the current odd time slot of the relay node Rj; a step G of obtaining a transmit beamforming signal of the current even time slot of the relay node Ri; and a step H of by a destination node D, receiving and demodulating the transmit beamforming signals. The above invention may inhibit IRI. The present invention also relates to a related system.

A method for eliminating interference between MIMO relay communication nodes comprises the steps of obtaining a transmitting beam forming vector ti of a relay node Ri and a transmitting beam forming vector tj of a relay node Rj; respectively obtaining a receiving beam forming vector ci of the relay node Ri and a receiving beam forming vector cj of the relay node Rj; obtaining an amplification factor gamma and obtaining an magnification factor gamma<j> of the relay node Rj through the processing by the combination with the receiving beam forming vector cj and the transmitting beam forming vector ti; calculating and obtaining transmitting beam forming signals of a current time slot of the relay node Rj according to the magnification factor gamma<j> , the receiving beam forming vector cj, the transmitting beam forming vector ti and the transmitting beam forming vector tj; calculating and obtaining transmitting beam forming signals of a current time slot of the relay node Ri through the relay node Ri according to the magnification factor gamma , the receiving beam forming vector ci, the transmitting beam forming vector tj and the transmitting beam forming vector ti; and receiving and demodulating the transmitting beam forming signals through a destination node D. According to the method, IRI between the MIMO relay communication nodes can be restrained greatly. The invention further relates to a correlated system.

The invention discloses a multiple input multiple output (MIMO) relay selection method for selecting an antenna based on a network lifetime threshold, which controls antenna selection of an MIMO cooperative communication system by setting the network lifetime threshold and completes relay selection based on an antenna selection result. According to the MIMO relay selection method for selecting the antenna based on the network lifetime threshold, rest energy of relay nodes is considered during relay selection; in a cooperative communication network having battery-powered relay nodes, network loads can be balanced and network lifetime can be prolonged; and relative to the existing antenna selection algorithm, the method has greatly reduced computation complexity. The MIMO relay selection method for selecting the antenna based on the network lifetime threshold can be applied to not only the cooperative communication system having the battery-powered relay nodes, but also a cooperative communication system with coexisting battery-powered relay nodes and electric-network-powered relay nodes.

The invention provides a precoding method comprising a direct transmission link in a multi-user bidirectional MIMO relay system, and belongs to the technical field of wireless relay communication. Theinvention provides a precoding design scheme comprising a direct transmission link between an information source and multiple users based on a complete channel in view of a bidirectional relay communication system in a half-duplex mode, and a relay precoding matrix is optimized by QR decomposition; the optimization of a user precoding matrix is based on MSMSE, an optimization objective equation is established, and the optimization problem is converted into a QCQP problem for optimization; the optimization of a client receiving filter matrix is to directly solve optimal expressions of an information source end and the client by using a partial derivative method; and finally, the user precoding matrix and the receiving filter matrix are jointly iterated to convergence to obtain an optimal precoding matrix. In the method, the contribution of the direct transmission link to the system is considered, and the performance of the system can be effectively improved.