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We consider in this paper the physical layer security in multi-user massive multiple-input multiple-output (MU-Massive-MIMO) system, where an eavesdropper (Eve) is assumed to be able to intercept the information intended to any of the users. Distributed antenna sets, commonly known as remote radio heads (RRHs), are deployed at the base station, which enables autonomous power allocation between the...
Owing to the ability of improving spectrum utilisation and quality-of-service (QoS) in wireless communications, multiple-input-multiple-output (MIMO) cognitive radio (CR) network has been identified as an excellent choice for the next generation communication. To protect primary users (PUs) from excessive interference while ensuring a meaningful QoS of secondary users (SUs), one key challenge of such...
In cognitive radio, the cognitive users should ensure the communication of the primary users and avoid or control their interference to the primary users. Therefore, we proposed cognitive beamforming algorithm. DOA estimation, adaptive beamforming and DOA tracking will be considered to accomplish the dynamic cognitive transmission. After the direction angle of each signal has been obtained by the...
A new blind beamforming algorithm to fast track mobile nodes is proposed in this paper. The relationship between the direction of the nodes and the weight vector of the beamforming algorithm is deduced. Utilizing the continuity of the nodes' trail in ad hoc network, the new method could initially estimate the direction of the nodes at the following moments from those obtained from the previous beamforming...
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