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MISO system downlink secrecy rate optimization method by means of intelligent reflection surface

A reflective surface, rate optimization technology, applied in transmission systems, radio transmission systems, diversity/multi-antenna systems, etc., can solve problems such as high hardware complexity and cost, high energy consumption, and high complexity

Active Publication Date: 2020-11-06
SOUTHEAST UNIV
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  • Abstract
  • Description
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  • Application Information

AI Technical Summary

Problems solved by technology

However, the above solutions have their inherent defects in the actual deployment process: such as high energy consumption, high hardware complexity and cost, etc.
In the block coordinate descent algorithm, the phase offset generated by each reflection unit is regarded as an independent unit, and the sequential optimization method is adopted in the optimization process, and only the phase offset introduced by one reflection unit is updated at a time, so the algorithm converges The speed is slow, and it is not suitable for large-scale IRS; the parallel optimization algorithm can optimize the phase offset introduced by all reflection units in one update process, and the algorithm converges quickly, but the existing ones based on Charnes-Cooper transformation and semidefinite The algorithm of planning (Semidefinite Relaxation, SDR) will introduce too high complexity, so the practical application value is low

Method used

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  • MISO system downlink secrecy rate optimization method by means of intelligent reflection surface
  • MISO system downlink secrecy rate optimization method by means of intelligent reflection surface
  • MISO system downlink secrecy rate optimization method by means of intelligent reflection surface

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Experimental program
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Effect test

Embodiment 1

[0101] Step S4.3.1, set iteration times k=0, convergence threshold δ, initial point θ k ∈CCM, where CCM is a complex circular manifold, namely Initial search direction ξ k is the point θ k function f 3 (θ)=θ H Uθ-θ H γ-γ H The negative Riemannian gradient of θ, namely

[0102]function 3 at point θ k The calculation method of the Riemann gradient is as follows:

[0103]

[0104] Among them, ⊙ represents Hadamard product, represents the function f 3 at point θ k The Euclidean gradient at is calculated as follows:

[0105]

[0106] Step S4.3.2, according to the backtracking line search to determine along the direction ξ k The search step size μ k .

[0107] Search step size μ k determined by the backtracking line search algorithm;

[0108] Specifically, first find the smallest positive integer t that satisfies the Armijo-Goldstein condition:

[0109]

[0110] Where auxiliary variable τ>0, α, Then μ k =τα t .

[0111] Step S4.3.3, calculation ...

Embodiment 2

[0122] Step A4.3.1, set the number of iterations n=0, introduce auxiliary variables And the penalty factor κ≥0, the phase optimization problem is transformed into the following optimization problem:

[0123]

[0124] s.t.x = θ

[0125] |θ i |=1,i=1,2,...,N

[0126] Step A4.3.2, give the Lagrangian function of the objective function:

[0127]

[0128] in For the equality constraints |θ r |=1, The Lagrange multiplier of , ψ(θ) is an indicator function, when the unit module constraint is established, the value of ψ(θ) is 0, and when the unit module constraint is not established, the value of ψ(θ) is ∞;

[0129] Step A4.3.3, using the alternate direction multiplier method, update the parameters in the following order until the objective function value converges in step A4.3.1:

[0130]

[0131] Thus we can get θ (m+1) = θ (n+1) ;

[0132] Step A4.3.4, when When, Φ (i) =diag((θ (m+1) ) * );when , let m=m+1, and repeat steps A4.3.2-A4.3.4.

[0133] Step...

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Abstract

The invention discloses an MISO system downlink secrecy rate optimization method by means of an intelligent reflection surface. The MISO system downlink secrecy rate optimization method comprises thefollowing steps of: acquiring channel state information of legal users and eavesdroppers; fixing an intelligent reflection surface phase offset matrix, and calculating an optimal base station side beam-forming vector; fixing the optimized beam-forming vector to obtain a local optimal solution of the intelligent reflection surface phase offset matrix; and repeating the alternating optimization process until convergence, and outputting a beam-forming vector and a phase offset matrix obtained by the last iteration. By jointly designing the base station side beam-forming vector and the intelligentreflection surface phase offset matrix, the system secrecy rate is maximized, the calculation complexity can be effectively reduced, the number of iterations can be reduced, the operation time is saved, and the method has practicability and high efficiency in a multi-antenna secrecy transmission system.

Description

technical field [0001] The invention relates to the technical field of wireless communication, and mainly relates to a method for optimizing the downlink secrecy rate of a MISO system by means of an intelligent reflective surface. Background technique [0002] The system secrecy rate is an important index to measure the security performance of the physical layer of the wireless communication system, so improving the system secrecy rate has become a key issue in the field of wireless communication. In recent years, scholars have proposed a variety of solutions to solve this problem, such as: adding artificial noise to the beamforming vector, using joint blocking techniques, etc. However, the above-mentioned solutions all have their inherent defects in the actual deployment process: such as high energy consumption, high hardware complexity and cost, and so on. [0003] With the rapid development of synthetic materials and RF MEMS, Intelligent Reflecting Surface (IRS) is expec...

Claims

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Application Information

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IPC IPC(8): H04W12/12H04B7/06H04B7/0456
CPCH04B7/0617H04B7/0456Y02D30/70H04B7/04013
Inventor 李潇冯轲铭金石
Owner SOUTHEAST UNIV
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