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Background Stratification of patient subpopulations that respond favorably to treatment or experience and adverse reaction is an essential step toward development of new personalized therapies and diagnostics. It is currently feasible to generate omic-scale biological measurements for all patients in a study, providing an opportunity for machine learning models to identify molecular markers for disease...
In the time-division-duplex (TDD) system, the channel state information (CSI) is mainly obtained through channel estimation. The active eavesdropper is able to attack the channel estimation phase by sending the same pilot signals as the legitimate users send to the base station without being detected, which can destroy the CSI acquired through channel estimation and greatly decrease the communication...
Recently, security problems in massive multiple-input multiple-output (MIMO) network draw more and more attention. In this paper, a security problem for a multi-pair massive MIMO two-way amplify-and-forward (AF) relay network is considered, where multiple users exchange confidential messages via a common relay equipped with large number of antennas. We propose an optimal power allocation scheme that...
A non-reused pilot (NRP) design scheme is presented for Large-scale multi-cell multiuser multiple-input multiple-output (LS-MIMO) systems. As the users at the cell edge suffer from severe pilot contamination (PC), the pilot design based on Chu sequences for two kinds of users is considered. The users in each cell are divided into center users and edge users according to the large-scale fading coefficients...
This paper considers a network consists of multiple primary users (PUs) and secondary users (SUs). To seek for the pre- and post-coding matrices of the PUs and SUs that improve the system output, the author applies Max-SINR algorithm for the PUs and cognitive interference alignment (IA) for the SUs. Then by counting the number of variables and the number of equations in the IA condition, this paper...
When a cognitive radio network shares the spectrum with a primary network, the harmful interference to the primary users is one of the most important concerns. In this paper, we propose a new cognitive scheme which has two cognitive sub-networks sharing the same relay station, considering the interference to the primary user. We study the Weighted Rate Balance problem with the constraint of the transmit...
In cognitive radio (CR) systems, we often use jamming schemes to improve the physical-layer security in the presence of passive eavesdroppers. However, it also needs additional signal sources to transmit artificial noise. In this paper, we investigate the multiple-input single-output (MISO) cognitive radio system where two secondary links secure each other's communication. Each secondary transmitter...
This paper focuses on a cognitive radio network (CRN), where both the primary and the secondary users (PUs and SUs) communicate with confidential messages. The secondary network is a distributed wireless self-organization network transmitting messages with collaborative beamforming. A multi-antenna target unknown eavesdropper (TUE), whose wiretap target is not assumed, appears in the CRN. A specific...
In this paper, we propose a filter-and-forward (FF)beamforming strategy in the secondary relays for the one-way cognitive relay network with frequency selective fading channels. Our aim is to optimize the beamforming coefficients and the secondary transmitted power to maximize the SINR at the secondary destination, while satisfying the interference constraint on the primary network and the total relays'...
This paper investigates the cooperative beamforming in the amplify-and-forward-based cognitive relay network. Beamforming coefficients are designed to maximize the sum rate of the secondary users with a total transmit power constraint of the relays and an interference power constraint at the primary receiver. The sum rate maximization problem is firstly solved by characterizing the achievable rate...
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