  Due to its ability of breaking the double-fading effect experienced by
passive intelligent reflecting surface (IRS), active IRS is evolving a
potential technique for future 6G wireless networks. To fully exploit the
amplifying gain achieved by active IRS, two high-rate methods, maximum ratio
reflecting (MRR) and selective ratio reflecting (SRR) are presented, which are
motivated by maximum ratio combining and selective ratio combining. Moreover,
both MRR and SRR are in closed-form expressions. To further improve the rate, a
maximum approximate-signal-to-noise ratio (Max-ASNR) is first proposed with an
alternately iterative infrastructure between adjusting the norm of beamforming
vector and its normalized vector. This may make a substantial rate enhancement
over existing equal-gain reflecting (EGR). Simulation results show that the
proposed three methods perform much better than existing method EGR in terms of
rate. They are in decreasing order of rate performance: Max-ASNR, MRR, SRR, and
EGR.
