Wideband hybrid precoding techniques for THz massive MIMO in 6G indoor network deployment

Jeyakumar, P.; Ramesh, Arvind; Srinitha, S.; Vishnu, V.; Muthuchidambaranathan, P.

doi:10.1007/s11235-021-00839-1

Cited by 13 publications

(4 citation statements)

References 30 publications

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“…However, it appeared unsuitable for THz communication systems since lower frequency propagation processes differ from THz bands [155]. Hundreds or thousands of antennas with high array gains and narrow beams are employed for um-MIMO [156].…”

Section: Ultra-massive Mimo (Um-mimo)mentioning

confidence: 99%

Integration of Hybrid Networks, AI, Ultra Massive-MIMO, THz Frequency, and FBMC Modulation Toward 6G Requirements: A Review

Alhaj,

Jamlos,

Manap

et al. 2024

IEEE Access

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The fifth-generation (5G) wireless communications have been deployed in many countries with the following features: wireless networks at 20 Gbps as peak data rate, a latency of 1 ms, reliability of 99.999%, maximum mobility of 500 km/h, a bandwidth of 1 GHz, and a capacity of 10 6 up to Mbps/m 2 . Nonetheless, the rapid growth of applications, such as extended/virtual reality (XR/VR), online gaming, telemedicine, cloud computing, smart cities, the Internet of Everything (IoE), and others, demand lower latency, higher data rates, ubiquitous coverage, and better reliability. These higher requirements are the main problems that have challenged 5G while concurrently encouraging researchers and practitioners to introduce viable solutions. In this review paper, the sixth-generation (6G) technology could solve the 5G limitations, achieve higher requirements, and support future applications. The integration of multiple access techniques, terahertz (THz), visible light communications (VLC), ultra-massive multiple-input multiple-output (um-MIMO), hybrid networks, cell-free massive MIMO, and artificial intelligence (AI)/machine learning (ML) have been proposed for 6G. The main contributions of this paper are a comprehensive review of the 6G vision, KPIs (key performance indicators), and advanced potential technologies proposed with operation principles. Besides, this paper reviewed multiple access and modulation techniques, concentrating on Filter-Bank Multicarrier (FBMC) as a potential technology for 6G. This paper ends by discussing potential applications with challenges and lessons identified from prior studies to pave the path for future research.

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Section: Ultra-massive Mimo (Um-mimo)mentioning

confidence: 99%

Integration of Hybrid Networks, AI, Ultra Massive-MIMO, THz Frequency, and FBMC Modulation Toward 6G Requirements: A Review

Alhaj,

Jamlos,

Manap

et al. 2024

IEEE Access

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show abstract

“…The smart antenna evolution has put forth the need of diversity gain concept which is the reduction in fading margin as these re-configurable antennas are used. The expression for diversity gain of the MIMO [16] configuration is expressed by the formula ( 5)…”

Section: Diversity Gain (Dg)mentioning

confidence: 99%

A Novel SRR Metamaterial Inspired CPW-Fed Dual Band MIMO Antenna for Sub-6 GHz 5G Application

Mood

Pandeeswari

2023

Wireless Pers Commun

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The metamaterial inspired novel CPW fed MIMO antenna design works based on the principle of Non Bianisotropic-Split-Ring Resonator and amalgamation of Hexagonal Open Ring Resonator(Hex-ORR) thereby resulting in a miniaturized antenna with dimensions of 47.4 × 31.7 × 1.6 mm 3 .This antenna holds decent for the Sub-6 GHz 5G application covering bandwidth of 983.5 MHz (3.7887 -2.8052 GHz) and 551.6 MHz (6.3834 -5.3818 GHz) with center frequency of 3 GHz and 6 GHz, respectively. The lower frequency band is produced using hex-ORR, and a higher frequency band is provided using NB-SRR. The size of the antenna is optimized by considering the Non Bianisotropic-SRR size minor than the resonant wavelength.The proposed MIMO antenna parameters such as ECC, CCL, and TARC are also examined, and the results indicate that the proposed antenna design is a good candidate for sub-6GHz 5G applications.

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“…Therefore, it is an urgent problem to improve the accuracy and stability of wireless communication signal detection technology. Multiple-input Multipleoutput (MIMO) technology is a major technology used to boost wireless communication performance and has drawn significant attention from academics [2]. Through the use of massive antennas and RF chains, this technology can improve wireless communication performance by increasing the spectrum efficiency of communication signals, network capacity, and data transmission rate [3].…”

Section: Introductionmentioning

confidence: 99%

Application of ELM Algorithm Incorporating AE Principles in Wireless Communication Signal Detection

Zhao,

Yu,

Feng

2023

IEEE Access

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With the development of society, the requirements for communication are getting higher and higher, but the detection performance of wireless communication signals is insufficient. To solve this problem, this paper combines the principle of Auto-encoder (AE) and the feature classification function of Extreme Learning Machine (ELM) algorithm to obtain AE-ELM algorithm, and builds a new wireless communication signal detection model based on this algorithm, hoping to improve the detection performance of wireless communication signals. The performance comparison experiment of the proposed AE-ELM algorithm shows that the bit error rate and average relative time complexity of the algorithm are 0.0004 and 0.5292s respectively, which is better than the comparison algorithm. Additionally, the effectiveness of the fusion algorithm-based signal detection model for wireless communication is investigated, and the findings demonstrate that this model outperforms the others with the lowest detection error rate of 0.0031. The above results demonstrate the high application potential of the novel wireless communication signal detection model and its ability to significantly improve the performance of wireless communication signal detection. Its application to wireless communication signal detection can greatly promote the development of the signal detection field in China.

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Wideband hybrid precoding techniques for THz massive MIMO in 6G indoor network deployment

Cited by 13 publications

References 30 publications

Integration of Hybrid Networks, AI, Ultra Massive-MIMO, THz Frequency, and FBMC Modulation Toward 6G Requirements: A Review

Integration of Hybrid Networks, AI, Ultra Massive-MIMO, THz Frequency, and FBMC Modulation Toward 6G Requirements: A Review

A Novel SRR Metamaterial Inspired CPW-Fed Dual Band MIMO Antenna for Sub-6 GHz 5G Application

Application of ELM Algorithm Incorporating AE Principles in Wireless Communication Signal Detection

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