The researcher, scientist, or engineer who uses mathematical optimization, or more generally, computational mathematics. This includes, naturally, those working directly in optimization and operations research, and also many others who use optimization, in fields like computer science, economics, finance, statistics, data mining, and many fields of science and engineering. The primary focus is on the latter group, the potential users of convex optimization, and not the (less numerous) experts in the field of convex optimization.
An intelligent reflecting surface (IRS) comprises an array of IRS units, each of which can independently incur some change to the incident signal. The change, in general, may be about the phase, amplitude, frequency, or even polarization.
To date, in most studies, the change is considered as a phase shift only to the incident signal, so that an IRS consumes no transmit power. In essence, an IRS intelligently configures the wireless environment to help the transmissions between the sender and receiver, when direct communications have bad qualities. Example places to put IRSs are walls, building facades, and ceilings,
Therefore, the optimization algorithm solves the achievable problems by optimizing the phase shifts by considering both continuous phase shifts (CPSs) and discrete phase shifts (DPSs).
How can benefit from Convex Optimization when using intelligent reflective surfaces in wireless communications?
Dear Abbas,
I will recommend the article https://arxiv.org/pdf/2104.01421.pdf
I hope it will be worth reading about your problem.
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