4.6 Article

Secure Energy Efficiency for mmWave-NOMA Cognitive Satellite Terrestrial Network

Journal

IEEE COMMUNICATIONS LETTERS
Volume 27, Issue 1, Pages 283-287

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LCOMM.2022.3164468

Keywords

Precoding; Radio frequency; Satellites; Satellite broadcasting; NOMA; Antenna arrays; Security; CSTN; mmWave; SEE

Ask authors/readers for more resources

In this letter, we investigate secure energy efficiency (SEE) for millimeter-wave non-orthogonal multiple access (mmWave-NOMA) cognitive satellite terrestrial network (CSTN). We propose a power allocation optimization problem to maximize the SEE, considering the spectrum sharing issues and imperfect channel state information. We also design a hybrid analog/digital precoding and divide the legitimate receivers (LRs) into clusters served by NOMA.
In this letter, we investigate secure energy efficiency (SEE) for millimeter-wave non-orthogonal multiple access (mmWave-NOMA) cognitive satellite terrestrial network (CSTN), where the primary satellite network coexists with the secondary terrestrial network in the same mmWave bands. In the terrestrial network, there are multiple legitimate receivers (LRs) and an eavesdropper (Eve). Based on this, we divide the LRs into multiple clusters and design the hybrid analog/digital precoding. The LRs belonging the same cluster are served by NOMA. Considering the spectrum sharing issues of the CSTN and imperfect channel state information of the Eve, a power allocation optimization problem is formulated to maximize the SEE. To solve the non-convex optimization problem, we transform the fractional SEE problem to a subtractive form. Moreover, the subtractive-form problem is transformed into a semidefinite program by Dinkelbach, successive convex approximation and S-procedure technologies. Finally, an iterative algorithm is proposed to solve the SEE problem. The simulation results are provided to verify the performance of the proposed schemes.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available