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This is a tutorial on current techniques that use a huge number of antennas in intelligent re‑
flecting surfaces (IRS), large intelligent surfaces (LIS), and radio stripes (RS), highlighting the similar‑
ities, differences, advantages, and drawbacks. A comparison between IRS, LIS, and RS is performed
in terms of the implementation and capabilities, in the form of a tutorial. We begin by introducing
the IRS, LIS, and RS as promising technologies for 6 G wireless technology. Then, we will look at
how the three notions are applied in wireless networks. We discuss various performance indicators
and methodologies for characterizing and improving the performance of IRS, LIS, and RS‑assisted
wireless networks. We cover rate maximization, power consumption reduction, and cost implemen‑
tation concerns in order to take advantage of the performance increase. Furthermore, we extend
the discussion to some cases of emerging use. In the description of the three concepts, IRS‑assisted
communication was introduced as a passive system, considering the capacity/data rate, with power
optimization being an advantage, while channel estimation was a challenge. LIS is an active compo‑
nent that goes beyond massive MIMO; a recent study found that channel estimation issues in IRS
had improved. In comparison to IRS, capacity enhancement is a highlight, and user interference
showed a trend of decreasing. However, power consumption due to utilizing power amplifiers has
restrictions. The third technique for increasing coverage is cell‑free massive MIMO with RS, with
easy deployment in communication network structures. It is demonstrated to have suitable energy
efficiency and power consumption. Finally, for future work, we further propose expanding the con‑
versation to include some cases of new uses, such as complexity reduction; design and simulation
with LDPC code could be a solution to decreasing complexity.6F1A-06CB-E82D | Mário Pedro Guerreiro Marques da SilvaN/
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