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Erschienen in:
Intelligent Reflecting Surface-Aided Physical-Layer Security Communications Kapitel lesen Erstes Kapitel lesen

2023 | OriginalPaper | Buchkapitel

2. Enhanced Secrecy Rate Maximization for Directional Modulation Networks via IRS

verfasst von : Feng Shu, Jiangzhou Wang

Erschienen in: Intelligent Reflecting Surface-Aided Physical-Layer Security

Verlag: Springer Nature Switzerland

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Abstract

IRS is of low-cost and energy-efficiency and will be a promising technology for the future wireless communications like sixth generation. To address the problem of conventional DM that Alice only transmits single confidential bit stream (CBS) to Bob with multiple antennas in a LoS channel in this chapter, IRS is proposed to create friendly multipaths for DM such that two confidential bit streams (CBSs) can be transmitted from Alice to Bob. This will significantly enhance the secrecy rate (SR) of DM. To maximize the SR (Max-SR), a general non-convex optimization problem is formulated with the unit-modulus constraint of IRS phase-shift matrix (PSM), and the general alternating iterative (GAI) algorithm is proposed to jointly obtain the transmit beamforming vectors (TBVs) and PSM by alternately optimizing one and fixing another. To reduce its high complexity, a low-complexity iterative algorithm for Max-SR is proposed by placing the constraint of null-space (NS) on the TBVs, called NS projection (NSP). Here, each CBS is transmitted separately in the NSs of other CBS and AN channels. Simulation results show that the SRs of the proposed GAI and NSP can approximately double that of IRS-based DM with single CBS for massive IRS in the high signal-to-noise ratio region.

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Vorheriges Kapitel Intelligent Reflecting Surface-Aided Physical-Layer Security Communications
Nächstes Kapitel High-Performance Estimation of Jamming Covariance Matrix for IRS-Aided Directional Modulation Network with a Malicious Attacker
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Metadaten
Titel
Enhanced Secrecy Rate Maximization for Directional Modulation Networks via IRS
verfasst von
Feng Shu
Jiangzhou Wang
Copyright-Jahr
2023
Buch
Intelligent Reflecting Surface-Aided Physical-Layer Security

Print ISBN: 978-3-031-41811-2

Electronic ISBN: 978-3-031-41812-9

Copyright-Jahr: 2023

DOI
https://doi.org/10.1007/978-3-031-41812-9_2

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