Massive OAM‐MIMO transmission scheme for 5G networks and beyond

Mao, Fuchun; Ni, Chunming; Zhang, Zuoshan; Li, Tinghua; Yang, Cheng-Fu; Zhang, Jialin

doi:10.1049/cmu2.12135

Cited by 2 publications

(2 citation statements)

References 48 publications

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“…To satisfactorily and fully implement the OAM technique in this scenario, issues such as the limited number of available OAM-Modes, joint OAM-Mode and Frequency/Time Partitioning, and channel estimation for different OAM-Modes, should be addressed [189]. More also, it is possible to combine the gains of OAM with that of MIMO [190], [191], as well as NOMA, OAM, and MIMO [192] to provide a huge gain in channel capacity that will help achieve high data rate demand of PM.…”

Section: A Data Ratementioning

confidence: 99%

Enabling Precision Medicine via Contemporary and Future Communication Technologies: A Survey

2023

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Precision medicine (PM) is an innovative medical approach that considers differences in the individuals' omics, medical histories, lifestyles, and environmental information in treating diseases. To fully achieve the envisaged gains of PM, various contemporary and future technologies have to be employed, among which are nanotechnology, sensor network, big data, and artificial intelligence. These technologies and other applications require a communication network that will enable them to work in tandem for the benefit of PM. Hence, communication technology serves as the nervous system of PM, without which the entire system collapses. Therefore, it is essential to explore and determine the candidate communication technology requirements that can guarantee the envisioned gains of PM. To the best of our knowledge, no work exploring how communication technology directly impacts the development and deployment of PM solutions exists. This survey paper is designed to stimulate discussions on PM from the communication engineering perspective. We introduce the fundamentals of PM and the demands in terms of quality of service that each of the enabling technologies of PM places on the communication network. We explore the information in the literature to suggest the ideal metric values of the key performance indicators for the implementation of the different components of PM. The comparative analysis of the suitability of the contemporary and future communication technologies for PM implementation is discussed. Finally, some open research challenges for the candidate communication technologies that will enable the full implementation of PM solutions are highlighted.INDEX TERMS Precision medicine, fourth industrial revolution (4IR) technologies, communication technologies, 5G, 6G.

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Section: A Data Ratementioning

confidence: 99%

Enabling Precision Medicine via Contemporary and Future Communication Technologies: A Survey

2023

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“…Additionally, ED has a poor level of performance when performing PU signal detection of signals below a certain signal-to-noise ratio (SNR) level referred to as the SNR wall. The inability to distinguish between a PU signal, SU signal, and interference is another disadvantage of ED methods [8][9][10][11][12][13][14]. The Energy Detector (ED) method is widely used in practice due to its simple implementation.…”

Section: Introductionmentioning

confidence: 99%

Analyses Hybrid Technique Detection Multiple Input Multiple Output 5G Waveforms

Algriree,

alsheakh,

Sulaiman

et al. 2023

Preprint

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The UFMC waveform is a type of physical layer, used by Cognitive Radio systems, to achieve reliable communication by using adaptive spectrum access. It is designed to provide interference-free communication without erasing the signals of the existing licensed users. The UFMC waveform is advantageous in Cognitive Radio networks because it can be very easily configured for different operating scenarios, providing both reliable and efficient communication. MIMO-UFMC-based transmissions, when used in combination with multiple-input multiple-output (MIMO) transmissions, have become widely accepted air interfaces that significantly improve spectral efficiency. This work presents a hybrid technique (HEDSLCT) as mathematical formulation of expressions that enable the analysis of ED performance based on the square-law combining (SLC) method in MIMO-UFMC systems, considering the future massive implementation of these systems in the fourth and fifth generation of mobile networks. The developed algorithms were used to conduct simulations for analyzing the performance of an ED process based on the SLC in MIMO-UFMC systems with varied numbers of transmit (Tx) and receive (Rx) communication branches. The results of these simulations enabled an evaluation of the ED performance. This paper presents an analysis of the effects of various factors, such as PU Tx power, false alarm probability, number of Tx and Rx MIMO branches, number of samples in ED process, and modulation techniques, on ED performance according to different signal-to-noise ratios. The obtained results of a comprehensive analysis showed that an appropriate selection of the evaluated factors could be used to improve the energy detection performance of multiple-input multiple-output ultra-wideband frequency-division multiplexing-based cognitive radio networks.

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Massive OAM‐MIMO transmission scheme for 5G networks and beyond

Cited by 2 publications

References 48 publications

Enabling Precision Medicine via Contemporary and Future Communication Technologies: A Survey

Enabling Precision Medicine via Contemporary and Future Communication Technologies: A Survey

Analyses Hybrid Technique Detection Multiple Input Multiple Output 5G Waveforms

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