The invention discloses a method for joint distribution of power and time for cooperative communication of a cognitive radio network. Master users in the cognitive radio network are taken as relay to cooperate with slave users to complete transmission, joint distribution is carried out on the power and the time, and when the optimal power is selected to distribute, the optimal distribution of the time is considered. The original distribution problem is decomposed into two sub-problems of outer layer power distribution and inner layer power distribution, and an auction method is utilized to carry out inner layer transmission time distribution on the slave users based on the given transmission power of the master users; and a local search method is utilized to distribute the transmission power of the master users at the outer layer. According to the method, the spectral efficiency is effectively improved and the total utility of the master users is maximized. On the one hand, each master user capable of maximizing the utility of the corresponding slave user is searched for each slave user, and the cooperative transmission is carried out in the distributive time; and on the other hand, the requirements for limitation of the total power between the master users are met.

Method for joint distribution of power and time for cooperative communication of cognitive radio network

The invention discloses a D2D communication interference management method based on joint interference alignment and power optimization, which mainly solves the problem that the interference intensities from different interference links are different caused by that the existing method cannot guarantee the interference alignment feasibility and the path losses of different interference links are different The implementation process is as follows: the system decomposes the optimization problem into three sub-problems, and obtains a second-best solution of the original problem by solving these three sub-problems in turn: firstly selecting an appropriate interference link under the premise of ensuring that the interference alignment is feasible for interference alignment, and calculating theconnectivity coefficient matrix a; secondly, designing the partial connectivity interference alignment pre-coding V and the decoding matrix G for the selected interference link; and finally, performing iterative convex approximation power optimization for the remaining interferences The invention may increase the degree of freedom of D2D and cellular communication links while effectively improving the network throughput

D2D communication interference management method based on joint interference alignment and power optimization

The invention relates to an adaptively-adjustable cooperative spectrum sensing method. The adaptively-adjustable cooperative spectrum sensing method includes the following steps that: after obtaining the optimal threshold value of energy detection judgment, cognition users transmit energy detection results and the signal-to-noise ratios of the cognition users themselves to a spectrum sensing fusion center; the spectrum sensing fusion center calculates the number of cognition users who sense whether the spectra of authorized users are in occupied states or idle states, calculates the sensing results and integrity coefficients of the cognition users, calculates the average detection probability, global detection probability and global false dismissal detection probability of a situation that the spectra of the authorized users are in occupied states, and calculates the average detection probability, global detection probability, global false dismissal detection probability and global false alarm probability of a situation that the spectra of the authorized users are in idle states; and after a spectrum sensing error function based on the number of the cognition users is established, a numerical value corresponding to the minimum value of the spectrum sensing error function is adopted as the number of optimal cooperative cognition users. With the method adopted, the amount of the fusion calculation of the spectrum sensing fusion center can be decreased, and cooperative spectrum sensing can be completed after the optimal cooperative cognition users are obtained.

Adaptively-adjustable cooperative spectrum sensing method

The invention relates to the field of satellite communication, in particular to a method for applying NC-OFDM communication technology to C/Ku band synchronous satellite communication based on a cognitive radio theory, comprising the following steps of: firstly, realizing the interaction between the NC-OFDM satellite communication system and the spectrum environment and the switching control of the subcarriers by researching a satellite communication spectrum hole sensing method based on cognitive radio; then realizing the system model by studying key technologies such as a carrier allocationscheme and bit power control, and finally realizing the optimal design of the system by researching the system performance under the condition of coexistence with authorized user to realize the coexistence of the cognitive radio-based NC-OFDM satellite communication system and the narrowband authorization system at last The invention realizes dynamic utilization of satellite communication spectrum holes, improves spectrum utilization efficiency and coexistence with a narrowband authorization system through the fusion of cognitive radio, NC-OFDM and satellite communication

C/Ku band NC-OFDM satellite communication method based on cognitive radio

The invention provides a distributed cooperation frequency spectrum perception method in a cognitive radio Ad hoc network, wherein the method relates to the cognitive radio field in wireless communication technology. For aiming at problems of high distributed cooperation difficulty and high total-network cooperation cost in the cognitive radio Ad hoc network, latest development of a gradient algorithm is applied in the method. The distributed cooperation frequency spectrum perception method realizes full-distributed, steady and reliable distributed cooperation frequency spectrum perception on the condition that network perception cost is greatly reduced. Through designing an optimal cost function, calculating number of optimal cooperation nodes, and selecting nodes for performing the distributed cooperation algorithm according to the number of the optimal cooperation nodes, a perception result is obtained and is broadcast to total-network users. According to the distributed cooperation frequency spectrum perception method, knowing of prior information of a signal-to-noise ratio by a cognitive user is not required, and no central controller is required, thereby greatly reducing perception expenditure and obtaining a detecting performance which is approximate to a total-network gradient cooperation solution.

Distributed cooperation frequency spectrum perception method in cognitive radio Ad hoc network

A wireless communication method based on the cognitive radio cooperation users and a threshold testing combined selection relates to a wireless communication method which is for the sake of overcoming the condition of presently selecting whole user to participate in cooperating test and solving the problems of low testing performance and large cooperating expenses, wherein the problems is brought from that every user is distributed with the same threshold testing method. According to the signal to noise ratio, the users can be arranged in descending order. After the present users participates in the cooperating test, the optimal threshold, false-alarm probability, testing probability, error testing probability, and error testing probability difference can be calculated. If the difference is greater than zero, the user can be chosen to participate in the cooperating test. If not, the user needs to be removed. The wireless communication method is suitable for the wireless communication process.

Wireless communication method based on cognitive radio cooperation users and threshold testing combined selection

The invention discloses an interference alignment based signal processing method for an MIMO (Multiple Input Multiple Output) system in a nonideal channel state, relates to the field of wireless communication, and aims to increase the capacity of the MIMO system in the nonideal channel state. According to the signal processing method, after a central processing unit of a sending end well designs encoding matrixes and decoding matrixes, the encoding matrixes and the decoding matrixes are allocated to each base station, and the base stations transmit the corresponding decoding matrixes to corresponding receiving users. Namely, under the condition that the power of each user is limited and the channel state information has errors, linear encoding and decoding matrixes which enable the total average mean square error (MSE) of the users to be minimum are searched for optimization, firstly, precoding matrixes are initialized, and then the precoding matrixes and the decoding matrixes are updated in an iterating manner, so that the system throughput can be effectively increased.

Interference alignment based signal processing method for MIMO (Multiple Input Multiple Output) system in nonideal channel state

Joint distribution method for perception time and subcarrier power in broadband cognitive radio

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Wireless communication method based on cognitive radio cooperation users and threshold testing combined selection

Interference alignment based signal processing method for MIMO (Multiple Input Multiple Output) system in nonideal channel state

Joint distribution method for perception time and subcarrier power in broadband cognitive radio