125results about How to "Improve SINR" patented technology

The embodiment of the invention discloses a data sending method for a multi-antenna system. The method is characterized by comprising that data information sent to a plurality of receiving ends is subjected to channel coding, interweaving and modulation processing, wherein the data information sent to each receiving end adopts different interwoven patterns to interweave respectively; and the data information processed through modulation and the interwoven pattern information adopted by the data information are sent to a plurality of the receiving ends. The embodiment of the invention also discloses a data receiving method for the multi-antenna system and a device thereof. The method can increase the signal-to-noise ratio of a signal received by the receiving end of the multi-antenna system and improve the performance of the system.

The invention provides a digital beam forming and phase fitting method, and aims to provide a method capable of suppressing interference, improving the signal to interference and noise ratio and accurately controlling the phase of a beam forming signal. The method is implemented according to the technical scheme that a steering vector model obtains relative steering vectors by using online calibration, accurate absolute steering vectors are acquired by combining absolute phase responses, which are measured in a darkroom, of a reference array element, model parameters of the steering vector are fitted out by combining the existing absolute steering vectors, and an accurate spare steering vector of an antenna array in any direction is acquired; the second-order statistic of the array signal is iteratively calculated through an array signal statistic hardware calculation module, and sent to an array signal processing algorithm module together with an antenna array steering vector and a channel response to calculate an optimal beam weight; and finally, the array signal processing algorithm module imbeds the optimal beam weight into the digital beam forming module to perform real-time digital beam forming and phase fitting and process multi-channel array data and beam output in real time.

The invention discloses a randomized beam forming method and the system on the basis of a multi-antenna receiver, which aims at limiting each receiver to obtain at most one beam, wherein each beam is respectively carried out merger of maximum signal-to-noise ratio (SINR) by the receiver, and feedback antenna which is merged obtains CSI of an equivalent channel. The system which is compared with a randomized beam forming system of a single antenna receiver is not added feedback cost of the system. A precoding mode, CSI feedback content and a dispatching mode of the whole system are completely same as the multi beam system of the single antenna receiver on the basis of a base station. The invention greatly increases throughput of the randomized beam forming system under the premise that CSI feedback quantity is not added.

The invention discloses a distributed interference coordination method based on beam shape matching in a 3D-MIMO system. The method comprises steps of: initializing the beam direction of each vertical sector of a base station in each horizontal sector; determining an initial service beam to which each user belongs according to the 3D position of the user, and updating the direction and a half-power beam width of the initial service beam according to the elevation angle information of the user in each vertical beam; and substituting the updated direction and the updated half-power beam width into an established optimization problem and searching an optimal antenna weight so as to achieve lowest interference of the beams in different vertical sectors, increase a signal-to-interference-noise ratio, and guarantee system performance. For a scheme in which only an inclination angle is adjusted, the method has a biggest advantage that the direction and the half-power beam width of the antenna beam are simultaneously adjusted. Thus, not only is the antenna gain in a target direction achieved, but also interference in other directions is inhibited such that the beams accurately serve the user. By adjusting the half-power beam width, the method expands coverage and effectively improves the service quality of edge users.

The invention discloses a Stackelberg game-based resource allocation method. According to the method, the interference of a cellular and femtocell-coexisting and spectrum-shared two-layer network is analyzed and managed; graph theory knowledge and the game theory are adopted to allocate resources used by users in femtocells and a macro base station, so that the quality of services for the users can be ensured. The method includes the following steps that: a graph theory-based clustering algorithm clusters the femtocells and sequentially allocates channels for macro users, and then matches the macro users with femtocell clusters so as to realize channel sharing; and a femtocell transmission power and macro user access selection-combined Stackelberg game is established, and the expression of the transmission power of the femtocells when Nash equilibrium is achieved is derived, and appropriate access strategies are selected for the macro users according to the transmission power of the femtocells, and iteration is repeated until Stackelberg game equilibrium is achieved, and network resource allocation is updated according to strategies which are selected when the equilibrium is achieved.

The invention provides a non-adaptive repeat power control method and a non-adaptive repeat power control device for a long term evolution (LTE) terminal. The method comprises that: when performing new physical uplink shared channel (PUSCH) transmission, the terminal judges whether a current power control mode is an accumulative mode or an absolute value mode, counts adjusted transmit power control (TPC) values of each hybrid automatic repeat request (HARQ) processes after the new transmission as new adjusted TPC values if the current power control mode is the accumulative mode, and saves opposite numbers of the adjusted TPC values indicated by downlink control information (DCI) 0 in the new transmission as the new adjusted TPC values; when judging non-adaptive repeat is required, the terminal adds an incremental adjusted value to a repeat power value if judging the new TPC adjusted values are lower than a preset threshold value; and the terminal performs the non-adaptive HARQ repeat by using the power value to which the incremental adjusted value is added. The repeat success probability can be increased by properly adjusting the repeat power.

The invention relates to an indoor VLC-WiFi hybrid communication system access selection method, and belongs to the technical field of the optical communication. The method comprises the following steps: improving correlation of receiving-transmitting end based on gravitation theory, and optimizing an access selection decision of the user based on the gravitation theory in a hybrid system composedof the cascaded VLC and WiFi; taking WiFi as supplementary technology of the VLC, designing an optimal access principle for the user under the extreme VLC channel status that all available VLC APs are shielded and located in a line-of-sight link dead zone; and designing a dynamic load assessment formula and an access point quality assessment formula based on self-adaptive QoS weight for residualusers at a transmitting end; designing the user quality assessment weight formula at a receiving end; improving the gravitation theory through the assessment weight so as to determine the bidirectional communication selection of the access point and the user. The throughput capacity of the VLC-WiFi hybrid communication system can be effectively improved, and the indoor VLC-WiFi communication access selection decision is optimized.

A method for emitting signal of offset orthogonal amplitude modulation system includes configuring real part interference signal and virtual part interference signal, selecting any one of data signal from two said interference signals, configuring emission value with the same absolute value for pilot frequency symbol real part and virtual part signal and configuring emission value of each other data signal in addition to selected signal on two said interference signals, confirming emission value condition to counterbalance interference generated by two said interference signals and confirming emission value of selected data signal.

The invention discloses a distributed power control method for a Femtocell uplink. In the method, based on a game theory, for a Femtocell and a macrocell base station, the maximum transmission power of a Femtocell user is limited so as to ensure that a preset signal to interference plus noise ratio (SINR) of a macro user of the macrocell base station is achieved for the macro user of the macrocell base station, and accordingly, the self preset SINRs of more Femtocell users are achieved for the more Femtocell users by means of game iteration. According to the invention, on the premise of guaranteeing the system capacitive properties, the power control for the Femtocell users is preformed in a game manner by regulating the upper limit of the transmission power of the Femtocell users, different SINR requirements of different Femtocell users are taken into consideration, all the Femtocell users are ensured to achieve the self preset SINRs as much as possible, and the distributed power control method disclosed by the invention has better performances compared with the conventional method.

The invention discloses a method for implementing multi-user complexing pre-coding in multi-point coordination transmission. The method comprises: adopting a combined pre-code, of which multiple cells and multiple users are paired, to implement the multiple user-multiple input multiple output (MU-MIMO) when multi-point coordination transmission is carried out. The invention also discloses a system for implementing the multiple user complexing pre-coding in the multi-point coordination transmission. The system comprises an MU-MIMO implementing unit which is used for implementing MU-MIMO by adopting the combined pre-code, of which multiple cells and multiple users are paired, when multi-point coordination transmission is carried out. When the method and the system provided by the invention are adopted, the MU-MIMO technology is combined with multi-point coordination transmission technology, so the frequency spectrum efficiency of the system and the communication quality of the user are greatly improved.

The invention discloses a high-dynamic interference auto-tracking steady suppression method which is mainly used for solving the problem that a normal anti-interference method is poor in dynamic interference suppression effect. The method provided by the invention is implemented through the following process: using two circulations to realize the dynamic interference suppression, wherein the internal circulation is used for completing the feature tracking of the dynamic interference, using a first i-th interference feature vector wi(t-1) at a t-1 moment and receiving data X(:, t) at a t moment to obtain a feature wave-beam output yi(t) at the t moment, and then using the feature wave-beam output yi(t) at the t moment and a feature value di(t-1) at the ith dynamic interference at the t-1 moment to update a dynamic interference feature di(t) at the t moment and the interference feature vector wi(t) at the t moment; then using the interference feature vector wi(t) and the feature beam output yi(t) at the t moment to update the receiving data vector X(:, t) at the t moment; and using all dynamic interference vector wi(t) to compose a widened dynamic interference feature matrix F in anexternal circulation mode, estimating an anti-interference right vector h, then using the anti-interference right vector h to perform the dynamic interference suppression on the receiving data. The high-dynamic interference auto-tracking steady suppression method has obvious good interference suppression effect, and can be applied to the space dynamical interference suppression, and the output signal to interference plus noise ratio thereof is more approximate to a theoretical optimal value.

The invention discloses a heterogeneous cellular network access method based on the maximum receiving power. The heterogeneous cellular network access method based on the maximum receiving power mainly comprises the following steps: comparing the signal power received from each base station by the terminal; judging whether the terminal is a base station type terminal or not according to the received maximum value; if the terminal is a base station type terminal, accessing to the base station directly; if the terminal is not a base station type terminal, judging continually to determine whether the terminal is a small cell access type terminal or a cooperative access type terminal according to the remaining bandwidth, signal and interference noise ratio; and if a plurality of terminals request to access, establishing a queuing model according to the access request time of the terminals, the user levels and the data rate, and confirming the access priority of the terminals. The invention can maximize the total throughput of the terminals within the cell under the condition that the system resources are unchanged; the improved scheme benefits improving the throughput of the system, and the use of the system resources are more sufficient.

The invention discloses a multi-feed-source satellite interference suppression method based on spectrum sensing, and the method comprises the steps: a multi-feed-source satellite receiving end receiveing M pieces of continuous sensing data received by feed sources, and carrying out the filtering and sampling, and obtaining an M * L-dimensional baseband equivalent discrete time signal matrix X; judging whether an interference signal exists or not by using spectrum sensing according to the obtained baseband equivalent discrete time signal matrix X; if the interference signal exists, generating abeam forming vector [omega] by using a known target signal angle 0 and a target signal autocorrelation matrix RXX according to a linear constraint minimum variance criterion; processing the basebandequivalent discrete time signal vector X by using the beam forming vector; and completing interference suppression. The method is convenient for subsequent software processing, and can adaptively suppress the satellite complex signal on the basis of increasing a small calculated amount according to a linear constraint minimum variance criterion through design.

The invention relates to a Beidou-2 positioning, timing and time service terminal, which comprises a main antenna, an auxiliary antenna, a cable and a charger, and is characterized in that the main antenna is used for supporting signal capturing, tracking and joint positioning for five frequency points of a BD2 (Beidou-2) system, a GPS (Global Positioning System) and a GLONASS (Global Navigation Satellite System) and supporting functions of RDSS short message communication and active positioning of the BD2 system; the auxiliary antenna is used for supporting signal capturing, tracking and joint positioning for five frequency points of the BD2 system, the GPS and the GLONASS; the cable comprises a power supply cable and a data cable, the power supply cable mainly completes power supply of the main antenna for the auxiliary antenna, the data cable realizes wired-mode orientation through observed quantity data mutual transmission of the main antenna and the auxiliary antenna; and the charger completes offline charging for a battery of the main antenna and a battery of the auxiliary antenna. The main antenna and the auxiliary antenna of the Beidou-2 positioning, timing and time service terminal adopt an integrated design, functions of a data transmission station are integrated in the main antenna and the auxiliary antenna, and that is, the equipment can independently complete a pseudo-range differential positioning and realize a wireless orientation function between dual antennas at the same time.

The invention provides a pilot sequence construction method for a massive multiple-input multiple-output system. The method comprises the steps of firstly, determining a matrix comprising constructed pilot sequences, so as to be used as a matrix of an original pilot sequence; then, rearranging all pilot sequences in the original pilot matrix so as to obtain a plurality of different orthogonal matrixes; and finding out a plurality of matrixes with low correlation from the new orthogonal matrixes and the original pilot matrix, so as to be used as the pilot matrixes allocated to a wireless network.

The invention discloses a wideband beam forming method based on error constraints of directions of arrival and a forming device. The wideband beam forming method is characterized by comprising a step 1: adding a unit matrix with a covariance matrix after the unit matrix is multiplied by coefficient beta, and obtaining an updated covariance matrix; and a step 2, calculating W according to formula:min WTRxxW+beta WTW, wherein W meets the condition of WTCBg(f)-v>/=1. By the aid of the wideband beam forming method and the forming device, signals can pass to the greatest extent within an error range of the directions of arrival (DOA), and simultaneously, certain ripples of response of the signals are realized.

The invention discloses an uplink data sending method, an uplink data sending device and an uplink data sending system, wherein the uplink data sending method comprises the following steps: according to the request information sent by a limited mobile terminal limited by uplink transmission, sending back response message used for indicating the limited mobile terminal to perform uplink transmission to the limited mobile terminal, and sending assistance request to an assistance mobile terminal being in an idle state in a service area; after receiving confirmed assistance information returned by the assistance mobile terminal and the uplink data sent by the limited mobile terminal according to the response message, allocating the uplink data resource, indicating the limited mobile terminal to send data on the first resource, indicating the assistance mobile terminal to capture data on the first resource, and transmitting the data by utilizing a second resource; combining the data received from the first resource and the second resource after demodulation to acquire uplink data after signal strength reinforces. According to the uplink data sending method, the uplink data sending device and the uplink data sending system, the SINR (Signal-to-Interference and Noise Ratio) of receiving uplink data by a base station and the accuracy of demodulating the uplink data can be improved, and the effect of the base station uplink cover is strengthened.

The invention discloses a multi-user relay selection method based on CSI prediction. The method comprises: solution 1, selecting relays for users according to a descending order of QoS requirements of user services, and selecting a relay node with the maximum predicated signal to interference plus noise ratio of the link from the user to each relay to perform data forwarding for the users; solution 2, minimizing the sum of mean values of communication interruption probabilities of all users under a specific energy limitation to perform power distribution, and measuring the signal to interference plus noise power ratio under the distributed power and then calculating the predicated signal to interference plus noise ratio, and selecting relays for users according to a descending order of QoS requirements of user services and selecting the relay node with maximum predicated signal to interference plus noise ratio of the link from the user to each relay to perform data forwarding for the users. The multi-user relay selection method of the invention effectively avoids the influence of outdated CSI to the system performance, and fully considers the interferences among users so as to be more close to the actual condition and further ensure the system performance. The multi-user relay selection method of the invention is simple in operation, few in calculating amount and relative high in precision.

A method for broadband co-frequency interference noise estimation and interference suppression and a corresponding system are provided, which are applied to estimating interference noise for one data stream borne in an interference suppression area. The method comprises: calculating the interference noise covariance matrix estimation value for each pilot subcarrier corresponding to the data stream according to a signal sent by a transmitting terminal on the subcarrier, a received signal on the subcarrier and a channel coefficient estimation value at the position of the subcarrier; calculating the interference noise covariance matrix estimation value for each data subcarrier corresponding to the data stream according to an initial estimation value of the sent signal, the received signal on the subcarrier and the channel coefficient estimation value at the position of the subcarrier; calculating the weighted average of the interference noise covariance matrix estimation values at the positions of all subcarriers corresponding to the data stream as the interference noise covariance matrix at the position of the subcarrier corresponding to the data stream.

The invention discloses a femtocell network interference alignment optimizing method.The femtocell network interference alignment optimizing method includes the following steps that 1, wireless parameter information is initialized; wireless space channel state information between femtocell base stations and femtocell users is collected; 2, transmitting power values of the femtocell base stations to femtocell receivers are initialized; 3, a femtocell network downlink signal receiving model is established; 4, a pre-coded matrix Vi and an interference suppression matrix Ui are initialized; 5, interference iteration calculation is performed to calculate whether the interference leakage power of the femtocell users is eliminated or not, the operation is finished if the interference is eliminated, and the step 6 is executed if the interference still exists; 6, the channel quality and signal sending rate are assessed; 7, the transmitting power of the femtocell base stations is calculated and updated; 8, the pre-coded matrix Vi and the interference suppression matrix Ui are calculated and updated; 9, the step 5 is repeated, the iteration calculation continues till convergence is achieved.The femtocell network interference alignment optimizing method gives a comprehensive consideration to channel factors and signal vector transmitting rate and is a novel downlink dynamic power control method.