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31results about How to "Good spectral efficiency" patented technology

Frequency spectrum admission control method based on cooperative frequency spectrum sensing

InactiveCN102685754AGuarantee service quality requirementsReduce the probability of forced interruptionNetwork planningFrequency spectrumSpectral efficiency
The invention provides a frequency spectrum admission control method based on cooperative frequency spectrum sensing. The method comprises the following steps: (1) through a cooperative scheme based on a secondary user group (SUG), self-adapting each secondary user SU to form SUGs; (2) for a cooperative sensing fusion strategy, carrying out calculation on a source node SUsor through a cooperative frequency spectrum sensing scheme so as to obtain an optimal value k under the situation of a given n value; and (3) for an acceptance control threshold of a cognitive radio network, analyzing an optimal acceptance control threshold, which can maximize throughput of the SUGs under the restriction condition of global false alarm probability, through a frequency spectrum acceptance control scheme based on cooperative sensing; and through solving of the optimal acceptance control threshold, finishing the whole optimizing process. According to the invention, the frequency spectrum frequency of the network is very well improved and the throughput of the SUGs can be also effectively increased; and the frequency spectrum acceptance control method based on cooperative frequency spectrum sensing, provided by the invention, is applicable to frequency spectrum access and frequency spectrum switching strategies in the cognitive radio network as well as corresponding performance analysis.
Owner:SHANGHAI JIAO TONG UNIV

Sea area large-scale antenna planar array beam selection and user scheduling method

The invention provides a sea area large-scale antenna planar array beam selection and user scheduling method, and relates to the technical field of sea area scheduling. The method comprises the stepsas follows: R1, a shipborne AIS system performs information interaction with a shore-based base station equipped with a large-scale antenna planar array, and acquires position information of each user; and then height information of the shore-based base station and height information of a ship terminal are acquired via a height indicator; R2, a sea area range covered by beams corresponding to thelarge-scale antenna planar array is divided according to the user position information, and the height information of the shore-based base station and the ship terminal acquired in the step R1, and each user is divided into each corresponding beam; R3, the user with the highest priority is selected from each beam, and sequentially put into the set of users to be served; and R4, in each schedulingperiod, the user in the set of users to be served is scheduled according to a system weight and rate maximization criterion for service, and the unused beams are closed. According to the method provided by the invention, the beam selection and user scheduling speed is fast, and the algorithm complexity is low.
Owner:NANTONG UNIVERSITY +1

Method for combining orthogonal multiple access and non-orthogonal multiple access under Cell-free Massive MIMO

The invention provides a method for combining orthogonal multiple access and non-orthogonal multiple access under Cell-free Massive MIMO. All users are divided into L clusters, 1 or 2 users are located in each cluster, the users in each cluster use the same pilot frequency, and the users in different clusters use mutually orthogonal pilot frequencies, so that the number of orthogonal pilot frequencies is L; APs are randomly divided into two parts, one part is used for providing services for an OMA user, and the other part is used for providing services for an NOMA user; the downlink data transmission depends on conjugate beam forming, and the spectrum efficiency of the downlink data transmission of the single user is obtained; a power allocation algorithm is used to maximize a power control algorithm P1 of the minimum SINR, and power control is converted into a convex optimization problem P2; the solution of the downlink maximum minimum SINR is found for the convex optimization problem P2 by using a binary search method, orthogonal multiple access and non-orthogonal multiple access are combined according to the specific user number and the channel correlation time condition, and the optimal spectrum efficiency can be obtained under the conditions of different user numbers and correlation time.
Owner:HARBIN INST OF TECH +1

Non-uniform beam space modulation method and system suitable for multi-antenna communication perception integration

The invention relates to a non-uniform beam space modulation method and system suitable for multi-antenna communication perception integration. The method comprises the following steps: solving an ISAC beam which simultaneously satisfies perception performance and communication performance; comprising the steps of constructing a communication transmitting signal; constructing a communication receiving signal; constructing an upper bound of communication sensing integrated spectrum efficiency of non-uniform beam space modulation; constructing a perceptual performance objective function; and solving a candidate beam matrix and beam activation probability distribution which enable the spectrum efficiency to be maximized and the sensing performance to be optimal. And the spectrum efficiency of non-uniform beam spatial modulation is solved through the ISAC beam. Under the condition that the same sensing performance requirement is met, the spectrum efficiency of the method is higher. By modifying the compromise factor between communication and sensing in the system, the beam pattern in the target area direction is closer to the reference beam pattern under the condition of meeting the same communication spectrum efficiency. And the method is superior to the existing beam design method in the aspects of communication and sensing performance.
Owner:SHANDONG UNIV

Frequency spectrum admission control method based on cooperative frequency spectrum sensing

InactiveCN102685754BGuarantee service quality requirementsReduce the probability of forced interruptionNetwork planningFrequency spectrumSpectral efficiency
The invention provides a frequency spectrum admission control method based on cooperative frequency spectrum sensing. The method comprises the following steps: (1) through a cooperative scheme based on a secondary user group (SUG), self-adapting each secondary user SU to form SUGs; (2) for a cooperative sensing fusion strategy, carrying out calculation on a source node SUsor through a cooperative frequency spectrum sensing scheme so as to obtain an optimal value k under the situation of a given n value; and (3) for an acceptance control threshold of a cognitive radio network, analyzing an optimal acceptance control threshold, which can maximize throughput of the SUGs under the restriction condition of global false alarm probability, through a frequency spectrum acceptance control scheme based on cooperative sensing; and through solving of the optimal acceptance control threshold, finishing the whole optimizing process. According to the invention, the frequency spectrum frequency of the network is very well improved and the throughput of the SUGs can be also effectively increased; and the frequency spectrum acceptance control method based on cooperative frequency spectrum sensing, provided by the invention, is applicable to frequency spectrum access and frequency spectrum switching strategies in the cognitive radio network as well as corresponding performance analysis.
Owner:SHANGHAI JIAO TONG UNIV

Distributed Alamouti coding cooperative transmission method based on quasi-orthogonal channel allocation

The invention discloses a distributed Alamouti coding cooperative transmission method based on quasi-orthogonal channel allocation, which mainly solves the problem that the traditional method can not simultaneously take the reliability and effectiveness of a system into consideration. In the implementation process of the method, a relay cooperative communication system is set; in a first time slot and a second time slot, a sender S respectively broadcasts signals x1 and x2, and relays R1 and R2 respectively receive signals yr11k, yr21 and yr12, yr22,; in a third time slot, the relays R1 and R2 respectively transmit signals ayr11 and -ay<*>r22 to a receiver D on the same channel, wherein a is an amplification factor, and ()* is complex conjugate; the sender S transmits a signal -x<*>2 to the receiver D on the orthogonal channel with the R1 and the R2; and in a fourth time slot, the relays R1 and R2 respectively transmit signals ayr12 and ay<*>r21 to the receiver D on the same channel, the sender S transmits a signal x<*>1 to the receiver D on the orthogonal channel with the R1 and the R2, and the receiver D carries out maximal likelihood decoding on the received signals. The invention can ensure that the system achieves performance compromising between false symbol rate and spectral efficiency and simultaneously takes the reliability and the effectiveness of the communication system into consideration.
Owner:XIDIAN UNIV

Hybrid beam forming method under imperfect channel state information condition

The invention discloses a hybrid beam forming method under an imperfect channel state information condition, which comprises the following steps of: (1) for a perfect channel matrix, destroying an original matrix by adding a noise matrix to obtain an imperfect channel matrix; (2) utilizing the principle of an auto-encoder, taking the obtained imperfect channel matrix as input, taking the obtained perfect channel matrix as a label, performing training through back propagation, and constructing a channel feature extraction network; (3) channel coding is carried out through one-time forward propagation of an encoder by using the trained feature extraction network based on the auto-encoder, and a feature matrix of a channel matrix can be obtained through extraction; and (4) inputting the channel characteristic matrix into a network for hybrid beam forming. According to the method, the sparse characteristic of the millimeter wave channel matrix is effectively utilized, channel feature extraction is carried out by utilizing the auto-encoder, and the influence of noise on the hybrid beam forming spectrum efficiency under the condition of imperfect channel state information is solved.
Owner:YANGTZE DELTA REGION INST OF UNIV OF ELECTRONICS SCI & TECH OF CHINE HUZHOU
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