Categorie: Tutti - noise

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6g

The exploration of advanced wireless communication technologies emphasizes the development of low phase noise local oscillators and innovative modulation techniques. These advancements are crucial for the evolution of 6G networks, which require efficient management of massive numbers of devices and improved data transfer rates.

6g

Inteelligesurfaces

Metamaterla surfaces software controlled

Low phase noise local oscilator

Ongoing research

https://sci-hub.hkvisa.net/10.1038/s41566-021-00790-2

Phase noise resistant modulation

NOMA

Power domain NOMA has recently been excluded from the 3GPP standard because of many problems related to its low performance compared to other competitive methods, receiver complexity, security vulnerability, and signaling overhead. To address these problems, we have developed new types of NOMA that can be found in this paper https://rs-ojict.pubpub.org/pub/tphonik9/

In downlink NOMA, a user doesn’t need to know the channel of anyone else since all signals reach the user over the same channel. However, the user must know the modulation and coding scheme of the co-users.

Fucked up with mimo. The way noma is interesting in mimo situation is when we have multiple users at the same time in the Line of sight of the antenna. In this case, the multiple antennas acts like a single one and NOMA can be better in this case

Main examples are for 2 or 4 users

Main use is power domain NOMA

6g

The World's Oceans

Need to manage a lot of device peper m2

Needs for Small transfer with massive number of users

Massive mimo, spacial multiplexing
New modulation schemes
SDMA

SDMA based on MU–LP

Although MU–LP is suboptimal for the multi-antenna BC, it achieves a near-capacity performance when CSIT is perfect and the user channels are nearly orthogonal with similar channel strengths or similar long-term signal-to-noise ratios (SNRs) [8]. SDMA based on MU–LP1 is therefore an integral part of numerous 4G and 5G transmission schemes such as multi-user MIMO (MU–MIMO), networked MIMO, coordinated multi-point (CoMP), massive MIMO, and millimeterwave (mmWave) MIMO. Linear precoding schemes, such as zero-forcing beamforming (ZFBF) [8], minimum mean square error (MMSE), regularized ZFBF (R-ZF) [6], block 1 In the rest of the paper, for simplicity, we use “SDMA” when we want to refer to “SDMA based on MU–LP”. 4 diagonalization (BD) [9], maximum ratio transmission (MRT) [10], and maximum signal-to-leakage-and-noise ratio (SLNR) transmission [11] have been extensively used in practical



https://arxiv.org/pdf/2201.03192.pdf

Rate multiplexing ?/RSMA?

https://sci-hub.hkvisa.net/10.1109/vtc2020-fall49728.2020.9348672



good results in papers

Seems to be lobbied ?

FBMC

Energy Transfer and Harvesting

Very lowpower communications is especially required in Internet-ofThings (IoT) nodes with non-replaceable batteries

Need for higher bandwidth

mmWaves
300ghz
Phase noise
lower reach of the waves and more distance related issues

More dense network

multiple antennas beamforming

Needs for high precision positionning

hybrid beamforming

How to detect position of users

Use of ai?

Channel estimation?
track user movement
Use of multi antennas ?
for backhaul routing