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 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

The invention discloses a method of monitoring, identifying and positioning vehicle remote control interference signals. The method comprises the following steps: a wireless sensor network convergence center generates and transmits a positioning instruction to a wireless sensor network array node according to target information to be positioned; the wireless sensor network array node monitors a vehicle remote control interference signal source and sends the monitored vehicle remote control interference signal source to the wireless sensor network convergence center; the wireless sensor network convergence center identifies the vehicle remote control interference signal source; and the wireless sensor network convergence center positions the vehicle remote control interference signal source. Through adoption of the method of the invention, illegal behaviors of disturbing or intercepting the remote control signal of vehicles can be monitored, identified and positioned, and behaviors of stealing the vehicles or stealing the properties in the vehicles can be effectively attacked, thereby ensuring the safety of citizens' properties and providing a broad market prospect.

A method of monitoring, identifying and positioning vehicle remote control interference signals

The invention discloses a cross-tier interference alignment method for a cognitive heterogeneous cellular network based on polarization information processing. Two cross-tier interference in the cognitive heterogeneous cellular network is processed by utilizing polarization information processing and interference alignment principles, so that when the normal transmission in a macro cell is not influenced and the maximum system downlink capacity is kept, an error rate of signal transmission in a small cell is greatly reduced and the transmission reliability of the small cell against a multi-path fading channel and the cross-tier interference is improved. According to the method, a receiving polarization state of a small cell user is optimized, and a purpose of aligning the cross-tier interference of the macro cell on the small cell user to a zero space of a target signal is realized; a sending polarization state of a small cell base station is optimized, the cross-tier interference of the small cell on a macro cell user is aligned to the zero space of the target signal, the normal transmission of the macro cell user is ensured, and meanwhile, a signal transmission error of a small cellular network is greatly reduced.

Cross-tier interference alignment method for cognitive heterogeneous cellular network based on polarization information processing

The invention relates to a dynamic-adjusting-based multi-frequency-range cooperated frequency spectrum sensing method. A frequency spectrum sensing decision-making center carries out screening on frequency spectrum detection results of a plurality of main users to select cooperative slave users preliminarily according to a preset signal-to-noise-ratio threshold value as well as signal-to-noise ratios, confidence coefficients, and service demands of all slave users; and quotient and quotient threshold relations between signal-to-noise-ratio root-mean-square values and signal-to-noise ratios of all slave users selected preliminarily are calculated and determined and slave users for participating in cooperation are selected, an optimal energy determination threshold value is obtained adaptively, a frequency spectrum sensing error function based on the number of slave users selected preliminarily is established, and optimal cooperation slave users are determined by using the number, which is obtained when a minimum value of the frequency spectrum sensing error function is obtained, of the slave users selected preliminarily as the optimal cooperative slave user number for cooperative sensing, and thus a final result of the multi-frequency-range cooperated frequency spectrum sensing is completed. Therefore, with the method, an optimal determination threshold value in a receiving signal energy changing state is obtained adaptively and the optimal cooperative slave number can also be obtained, so that the cooperative sensing complexity is reduced.

Dynamic-adjusting-based multi-frequency-range cooperated frequency spectrum sensing method

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

An MIMO (Multiple Input Multiple Output) interference alignment wireless communication method under an F-norm (Frobenius norm) bounded channel error model relates to a signal wireless communication method and aims at solving the problem that network throughputs are significantly reduced when errors occur in a channel condition of a transmitting terminal in the existing interference alignment method. The MIMO interference alignment wireless communication method comprises establishing the F-norm bounded channel error model, providing an encoding matrix sending acquired criterion and a decoding matrix receiving acquired criterion based on an MMSE (Minimum Mean Square Error) and calculating to obtain MSE (Mean Square Error) values of k users in an MIMO system; utilizing a minimax total MSE criterion and a minimax user MSE criterion to calculate to obtain an encoding matrix and a decoding matrix for a kth user in the MIMO system; and performing wireless signal transmission according to the obtained encoding matrix and decoding matrix to achieve MIMO interference alignment wireless communication base on the MMSE. The MIMO interference alignment wireless communication method under the F-norm bounded channel error model is suitable for wireless communication.

MIMO (Multiple Input Multiple Output) interference alignment wireless communication method under F-norm (Frobenius norm) bounded channel error model

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

MIMO (Multiple Input Multiple Output) interference alignment wireless communication method under F-norm (Frobenius norm) bounded channel error model