Abstract

This work develops a radio resource allocation framework for energy-efficient and confidential communications in multiple-antenna wiretap channels. Statistical channel state information (CSI) is considered at the transmitter, and the artificial noise (AN) technique is used. The formulated problem is a challenging non-convex fractional program which is tackled by combining fractional programming and sequential optimization. The resulting sequential fractional programming algorithm exhibits polynomial complexity and is provably convergent to a first-order optimal resource allocation. Numerical results show the merits of the proposed algorithm with AN.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.