There is a set of problems found in smart reflective surfaces, including:
1. the secrecy rate maximization (SRM) problem is formulated, which is a non-convex problem with multiple coupled variables.
2. The nonconvexity problem of maximizing the weighted sum rate (WSR) of all users when the BSs and the users are equipped with multiple antennas, which enhances the spectral efficiency by exploiting the spatial multiplexing gain.
3. The optimization problem of maximizing the weighted sum rate (WSR) of information receivers (IRs), the transmit precoding (TPC) matrices of the base station (BS) and the passive phase shift matrix of the IRS jointly.
4. The signal-to-noise ratio (SNR) grows linearly with the number of array elements N when using Massive MIMO receivers and half-duplex relays.
5. properly altering the signal propagation via tuning a large number of passive reflecting units.
6. the secrecy rate of the intelligent reflecting surface (IRS) assisted Guassian multiple-input multiple-output (MIMO) wiretap channel
7. maximize the spectral efficiency of an IRS-assisted point-to-point multi-input multi-output (MIMO) system
8. enhancing its secrecy rate for an intelligent reflecting surface (IRS) assisted Guassian multiple-input multiple-output (MIMO) wiretap channel (WTC).
What parameters can be used when improving the performance of intelligent reflecting surface (IRS) by optimization algorithms?
IRS provides balanced performance metrics to reflect its priorities consistent with its mission and strategic goals
Dear Abbas Thajeel Rhaif Alsahlanee ,
welcome!
It is so that the the signal path from the base station shows multipath effects such as fading to the user site.
The addition of the IRS will introduce an alternative path where the signal will be recieved by the IRS phase shifted and amplitude changed and directed to the the site of the user equipment. So the signal path through the IRS must has better transmission properties which means higher signal to noise plus interference at the user site.
So, Accordingly one has to maximize the signal to noise plus interference ratio.
Best wishes
I agree with Abdelhalim abdelnaby Zekry that maximize the signal to noise plus interference ratio will be a main and better criterium of efficiency ISR. All other parameters for optimization will be secondary.
Dear José Arzola-Ruiz
I mean the parameters that are used during the optimization process?
For example, the parameters used when improving the error function, improving the transmission capacity, improving convergence, etc. So what are the parameters used in each case or the basic parameters that are used?
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