Millimeter Wave and Radio Stripe: A Prospective Wireless Technology for 6G and Beyond Networks

Mishra, Aman Kumar; Ponnusamy, Vijayakumar

doi:10.1109/stcr51658.2021.9588858

Cited by 6 publications

(8 citation statements)

References 9 publications

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“…Massive MIMO systems deliver faster data rates without requiring additional bandwidth or the installation of extra BS. The primary advantages of huge MIMO systems are better scalability, less power used to send signals, better use of the spectrum, and easier signal processing [14]. The signal-to-noise ratio varies dramatically between cell-center and cell-edge UEs, which is a major issue for mMIMO.…”

Section: Massive Mimo Ultra Massive Mimo and Cell-free Massive Mimomentioning

confidence: 99%

“…Radio stripes can be used anywhere and at any time (Figure 3 [14]). For busy environments such as stadiums, stations, and shopping malls, a cell-free technique of deployment based on radio stripes was also suggested [38].…”

Section: Categorizing Recent Studies On Radio Stripesmentioning

confidence: 99%

“…RS can be used in virtually any place. RS can be placed inside metros, buses, and populated streets [14].…”

Section: Simple Implementationmentioning

confidence: 99%

“…However, as the radio stripe is distributed in every nook and cranny, the distance between the AP and users is only a few meters. As a result, propagation concerns such as air absorption, rain, and penetration through walls, become null or minimal [14].…”

Section: Radio-stripe Network Propagationmentioning

confidence: 99%

“…However, the authors demonstrated that path loss may be compensated for with a proportional increase in antenna gain and suitable beamforming. Thus, the mmWave propagation problem in radio stripe networks can be overcome [14].…”

Section: Radio Stripe Network Path Lossmentioning

confidence: 99%

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IRS, LIS, and Radio Stripes-Aided Wireless Communications: A Tutorial

2022

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This is a tutorial on current techniques that use a huge number of antennas in intelligent reflecting surfaces (IRS), large intelligent surfaces (LIS), and radio stripes (RS), highlighting the similarities, 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 implementation 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 component 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 conversation to include some cases of new uses, such as complexity reduction; design and simulation with LDPC code could be a solution to decreasing complexity.

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Section: Massive Mimo Ultra Massive Mimo and Cell-free Massive Mimomentioning

confidence: 99%

Section: Categorizing Recent Studies On Radio Stripesmentioning

confidence: 99%

“…RS can be used in virtually any place. RS can be placed inside metros, buses, and populated streets [14].…”

Section: Simple Implementationmentioning

confidence: 99%

Section: Radio-stripe Network Propagationmentioning

confidence: 99%

Section: Radio Stripe Network Path Lossmentioning

confidence: 99%