Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.11851/11598
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DC Field | Value | Language |
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dc.contributor.author | Sun, H. | - |
dc.contributor.author | Ng, C. | - |
dc.contributor.author | Huo, Y. | - |
dc.contributor.author | Hu, R.Q. | - |
dc.contributor.author | Wang, N. | - |
dc.contributor.author | Chen, C.-M. | - |
dc.contributor.author | Demir, O.T.G. | - |
dc.date.accessioned | 2024-06-19T14:55:33Z | - |
dc.date.available | 2024-06-19T14:55:33Z | - |
dc.date.issued | 2023 | - |
dc.identifier.isbn | 9798350324587 | - |
dc.identifier.uri | https://doi.org/10.1109/FNWF58287.2023.10520592 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.11851/11598 | - |
dc.description | et al.;IEEE Antennas and Propagation Society (APS);IEEE Circuits and Systems Society (CAS);IEEE Communications Society (ComSoc);IEEE Electronics Packaging Society (EPS);IEEE Intelligent Transportation Systems Society (ITSS) | en_US |
dc.description | 6th IEEE Future Networks World Forum, FNWF 2023 -- 13 November 2023 through 15 November 2023 -- 199497 | en_US |
dc.description.abstract | The use of a large number of antenna elements, known as Massive MIMO, is seen as a key enabling technology in the 5G and Beyond wireless ecosystem. The intelligent use of a multitude of antenna elements unleashes unprecedented flexibility and control on the physical channel of the wireless medium. Through Massive MIMO and other techniques, it is envisioned that the 5G and beyond wireless system will be able to support high throughput, high reliability (low bit-error-rate (BER)), high energy efficiency, low latency, and an internet-scale number of connected devices. Massive MIMO and related technologies will be deployed in the mid-band (sub 6 GHz) for coverage, all the way to mmWave bands to support large channel bandwidths. It is envisioned that Massive MIMO will be deployed in different environments: Frequency Division Duplex (FDD), (Time Division Duplex (TDD), indoor / outdoor, small cell, macro cell, and other heterogeneous networks (HetNet) configurations. Accurate and useful channel estimation remains a challenge in the efficient adoption of Massive MIMO techniques, and different performance-complexity tradeoffs may be supported by different Massive MIMO architectures such as digital, analog, and/or digital/analog hybrid. Carrier frequency offset (CFO), which arises due to the relative motion between the transmitter and receiver, is another important topic. Recently, maximum likelihood (ML) methods of CFO estimation have been proposed, that achieve very low root mean square (RMS) estimation errors, with a large scope for parallel processing and well suited for application with turbo codes. Massive MIMO opens up a whole new dimension of parameters where the wireless applications or other network layers may control or influence the operation and performance of the physical wireless channel. To fully reap the benefits of such flexibility, the latest advances in artificial intelligence (AI) and machine learning (ML) techniques will be leveraged to monitor and optimize the Massive MIMO sub-system. As such, a cross-layer open interface can facilitate exposing the programmability of Massive MIMO through techniques such as network slicing (NS) and network function virtualization (NFV). Finally, security needs to be integrated into the design of the system so the new functionality and performance of Massive MIMO can be utilized in a reliable manner. © 2023 IEEE. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | en_US |
dc.relation.ispartof | Proceedings - 2023 IEEE Future Networks World Forum: Future Networks: Imagining the Network of the Future, FNWF 2023 | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | 5G | en_US |
dc.subject | average signal-to-noise ratio per bit | en_US |
dc.subject | beam optimization | en_US |
dc.subject | beamforming | en_US |
dc.subject | CFO estimation | en_US |
dc.subject | channel estimation | en_US |
dc.subject | energy efficiency | en_US |
dc.subject | HetNet | en_US |
dc.subject | hybrid architecture | en_US |
dc.subject | Massive MIMO | en_US |
dc.subject | mmWave | en_US |
dc.subject | 5G mobile communication systems | en_US |
dc.subject | Beam forming networks | en_US |
dc.subject | Beamforming | en_US |
dc.subject | Bit error rate | en_US |
dc.subject | Channel estimation | en_US |
dc.subject | Energy efficiency | en_US |
dc.subject | Frequency allocation | en_US |
dc.subject | Heterogeneous networks | en_US |
dc.subject | Maximum likelihood estimation | en_US |
dc.subject | Millimeter waves | en_US |
dc.subject | MIMO systems | en_US |
dc.subject | Network layers | en_US |
dc.subject | Spectrum efficiency | en_US |
dc.subject | 5g | en_US |
dc.subject | Antenna element | en_US |
dc.subject | Average signal-to-noise ratio per bit | en_US |
dc.subject | Beam optimization | en_US |
dc.subject | Carrier frequency offset estimation | en_US |
dc.subject | Enabling technologies | en_US |
dc.subject | Hybrid architectures | en_US |
dc.subject | Massive MIMO | en_US |
dc.subject | Mm waves | en_US |
dc.subject | Performance | en_US |
dc.subject | Signal to noise ratio | en_US |
dc.title | Massive Mimo | en_US |
dc.type | Conference Object | en_US |
dc.department | TOBB ETÜ | en_US |
dc.identifier.scopus | 2-s2.0-85194173919 | en_US |
dc.institutionauthor | Demir, O.T.G. | - |
dc.identifier.doi | 10.1109/FNWF58287.2023.10520592 | - |
dc.authorscopusid | 57189043235 | - |
dc.authorscopusid | 58144631700 | - |
dc.authorscopusid | 56564766000 | - |
dc.authorscopusid | 7202640793 | - |
dc.authorscopusid | 55290251100 | - |
dc.authorscopusid | 58146033600 | - |
dc.authorscopusid | 57193644035 | - |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
item.openairetype | Conference Object | - |
item.languageiso639-1 | en | - |
item.grantfulltext | none | - |
item.fulltext | No Fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.cerifentitytype | Publications | - |
Appears in Collections: | Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection |
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