Achieving High Spectrum Efficiency on High Speed Train for 5G New Radio and Beyond

Han, Shuangfeng; Chih‐Lin, I; Xie, Tian; Wang, Sen; Huang, Yühong; Dai, Linglong; Sun, Qi; Cui, Chunfeng

doi:10.1109/mwc.001.1800260

Cited by 29 publications

(14 citation statements)

References 12 publications

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“…2) Key Enabling 6G Technologies: In [184], two open loop beamforming methods with the help of location information (i.e., the location based MIMO precoding and the location assisted MIMO precoder cycling) are being proposed. These techniques can be attributed the early enabling technologies for high spectrum efficiency.…”

Section: F High Spectrum Efficiencymentioning

confidence: 99%

Survey on 6G Frontiers: Trends, Applications, Requirements, Technologies and Future Research

Alwis

Kalla

Pham

et al. 2021

IEEE Open J. Commun. Soc.

446

195

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Emerging applications such as Internet of Everything, Holographic Telepresence, collaborative robots, and space and deep-sea tourism are already highlighting the limitations of existing fifth-generation (5G) mobile networks. These limitations are in terms of data-rate, latency, reliability, availability, processing, connection density and global coverage, spanning over ground, underwater and space. The sixth-generation (6G) of mobile networks are expected to burgeon in the coming decade to address these limitations. The development of 6G vision, applications, technologies and standards has already become a popular research theme in academia and the industry. In this paper, we provide a comprehensive survey of the current developments towards 6G. We highlight the societal and technological trends that initiate the drive towards 6G. Emerging applications to realize the demands raised by 6G driving trends are discussed subsequently. We also elaborate the requirements that are necessary to realize the 6G applications. Then we present the key enabling technologies in detail. We also outline current research projects and activities including standardization efforts towards the development of 6G. Finally, we summarize lessons learned from state-of-the-art research and discuss technical challenges that would shed a new light on future research directions towards 6G.

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Section: F High Spectrum Efficiencymentioning

confidence: 99%

Survey on 6G Frontiers: Trends, Applications, Requirements, Technologies and Future Research

Alwis

Kalla

Pham

et al. 2021

IEEE Open J. Commun. Soc.

446

195

View full text Add to dashboard Cite

show abstract

“…We suppose the channel state information (CSI) is perfectly known at BSs and IRS 2 , which is the same as [10]- [12], [18], [19]. 1 Existing research works [10]- [12] show that IRS-assisted BS communication has strong scalability and signals reflected by multi-IRSs can be superimposed at the receiver to further enhance the received signal power. Therefore, in order to simplify and focus on the impact of the introduction of IRS on the UA and system performance, we only consider one IRS, and multi-IRSs combined with power allocation and UA to enhance mmWave communication will be studied in future work.…”

Section: A System Modelmentioning

confidence: 99%

“…The fifth generation mobile networks use key technologies such as millimeter wave (mmWave) technology, heterogeneous networks and massive multiple-input multiple-output (MIMO) to cope with increasing demand for higher data rates [1], [2]. As a promising technology, mmWave communication, with frequency ranging from 30∼300GHz, has the potential to provide gigabitsper-second communication data rates while supporting a wide range of applications [3].…”

Section: Introductionmentioning

confidence: 99%

Joint Power Allocation and User Association Optimization for IRS-Assisted mmWave Systems

Zhao¹,

Lu²,

Wang³

et al. 2020

Preprint

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Intelligent reflect surface (IRS) is a potential technology to build programmable wireless environment in future communication systems. In this paper, we consider an IRS-assisted multi-base station (multi-BS) multi-user millimeter wave (mmWave) downlink communication system, exploiting IRS to extend mmWave signal coverage to blind spots. Considering the impact of IRS on user association in multi-BS mmWave systems, we formulate a sum rate maximization problem by jointly optimizing passive beamforming at IRS, power allocation and user association. This leads to an intractable nonconvex problem, for which to tackle we propose a computationally affordable iterative algorithm, capitalizing on alternating optimization, sequential fractional programming (SFP) and forward-reverse auction (FRA). In particular, passive beamforming at IRS is optimized by utilizing the SFP method, power allocation is solved through means of standard convex optimization method, and user association is handled by the network optimization based FRA algorithm. Simulation results demonstrate that the proposed algorithm can achieve significant performance gains, e.g., it can provide up to 175% higher sum rate compared with the benchmark and 140% higher energy efficiency compared with amplifyand-forward relay.

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“…Millimeter Wave (mmWave) 5G/6G wireless network [1], [2] has great potential for High-Definition (HD) images transmission and videos streaming [3], due to its broad spectrum (30 GHz -300 GHz). mmWave has been extensively studied for many important applications [6]- [11].…”

Section: Introductionmentioning

confidence: 99%

High-speed Millimeter-wave 5G/6G Image Transmission via Artificial Intelligence

Liao

2020

2020 IEEE Asia-Pacific Microwave Conference (APMC)

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Artificial Intelligence (AI) has been used to jointly optimize a mmWave Compressed Sensing (CS) for high-speed 5G/6G image transmission. Specifically, we have developed a Dictionary Learning Compressed Sensing neural Network (DL-CSNet) to realize three key functionalities: 1) to learn the dictionary basis of the images for transmission; 2) to optimize the Hadamard measurement matrix; and 3) to reconstruct the lossless images with the learned dictionary basis. A 94-GHz prototype has been built and up to one order of image transmission speed increase has been realized for letters "A" to "Z".

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Achieving High Spectrum Efficiency on High Speed Train for 5G New Radio and Beyond

Cited by 29 publications

References 12 publications

Survey on 6G Frontiers: Trends, Applications, Requirements, Technologies and Future Research

Survey on 6G Frontiers: Trends, Applications, Requirements, Technologies and Future Research

Joint Power Allocation and User Association Optimization for IRS-Assisted mmWave Systems

High-speed Millimeter-wave 5G/6G Image Transmission via Artificial Intelligence

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