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Secure Energy Efficiency Optimization for MISO Cognitive Radio Network with Energy Harvesting by Zhang, Miao; Cumanan, Kanapathippillai; Burr, Alister is a scholarly article available to read on EtoBox.

What is Secure Energy Efficiency Optimization for MISO Cognitive Radio Network with Energy Harvesting about?

This paper investigates a secure energy efficiency (SEE) optimization problem in a multiple-input single-output (MISO) underlay cognitive radio (CR) network. In particular, a multi-antenna secondary transmitter (SU-Tx) simultaneously sends secured information and energy to a secondary receiver (SU-Rx) and an energy receiver (ER), respectively, in the presence of a primary receiver (PU-Rx). It is assumed that the SU-Rx, ER and PU-Rx are each equipped with a single antenna. In addition, the SU-Tx should satisfy constraints on maximum interference leakage to the PU-Rx and minimum harvested energy at the ER. In this CR network, we consider the transmit covariance matrix design with the assumption of perfect channel state information (CSI) at the SU-Tx. In addition, it is assumed that the ER is a potential passive eavesdropper due to broadcast nature of wireless transmission. On the other hand, we consider the worst-case scenario that ER's energy harvesting requirement is only satisfied when it performs only energy harvesting without intercepting or eavesdropping information intended for the SU-Rx. We formulate this transmit covariance matrix design as a SEE maximization problem which i

Author

Zhang, Miao; Cumanan, Kanapathippillai; Burr, Alister

Published

2017

Language

EN