Orbital Angular Momentum for Wireless Communications

Cheng, Wenchi; Zhang, Wei; Jing, Haiyue; Gao, Shanghua; Zhang, Hailin

doi:10.1109/mwc.2017.1700370

Cited by 172 publications

(61 citation statements)

References 14 publications

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“…The receiver plane is 3m away from the antenna array and the measurement window is 20cm × 20cm. The corresponding E field was calculated by substituting L=λ/2 in the equation (1). Fig.…”

Section: Simulation and Experimental Resultsmentioning

confidence: 99%

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Measurements and Characterization of Twisted Radio Wave Multipath for Indoor Wireless Communication and Security System

Chen

Seow

Tan

et al. 2019

2019 Photonics &Amp; Electromagnetics Research Symposium - Fall (PIERS - Fall)

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This paper presents a novel twisted radio wave based wireless communication system that has the capability to discriminate against strong reflections in indoor multipath environment. The twisted wave transmitter is designed using a uniform circular array, which is capable of transmitting different OAM modes simultaneously and the receiver is designed to match to the transmitted OAM mode. The measurement results obtained from the experiments carried out in different indoor environments and different propagation scenarios show that our proposed twisted radio wave system can provide a stable transmission link even in the presence of existing ZigBee and Wi-Fi signals, which are operating in the same frequency band. A good general agreement between the simulations and measurement results shows the accuracy and applicability of our proposed wireless communication system in such indoor multipath environments.

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“…The receiver plane is 3m away from the antenna array and the measurement window is 20cm × 20cm. The corresponding E field was calculated by substituting L=λ/2 in the equation (1). Fig.…”

Section: Simulation and Experimental Resultsmentioning

confidence: 99%

“…Twisted radio explores the Orbital Angular Momentum (OAM) of an electromagnetic wave [1][2][3], where each OAM state is defined by two unique properties: intensity singularity and rotational phase front [4][5][6][7]. Each unique intensity singularity and corresponding phase front referred to as particular OAM state of a radio wave.…”

Section: Introductionmentioning

confidence: 99%

Measurements and Characterization of Twisted Radio Wave Multipath for Indoor Wireless Communication and Security System

Chen

Seow

Tan

et al. 2019

2019 Photonics &Amp; Electromagnetics Research Symposium - Fall (PIERS - Fall)

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“…There exist tentative schemes for converging OAM beams such as antenna based anti-divergence. The antenna based anti-divergence schemes employ the parabolic antennas or the lens antennas to converge OAM beams [13]. However, with the decreasing on degree of divergence, OAM beams, after antenna converging, are still with central hollow structure after relatively long-distance transmission.…”

Section: New Resource For Modulation: Oammentioning

confidence: 99%

Vision, Requirements, and Technology Trend of 6G: How to Tackle the Challenges of System Coverage, Capacity, User Data-Rate and Movement Speed

Chen

Liang

Sun

et al. 2020

IEEE Wireless Commun.

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536

246

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Since 5G new radio comes with none standalone (NSA) and standalone (SA) versions in 3GPP, research on 6G has been on schedule by academics and industries. Though 6G is supposed to have much higher capabilities than 5G, yet there is no clear description about what 6G is. In this paper, a comprehensive discussion on 6G is given based on the review of 5G developments, covering visions and requirements, technology trends and challenges, aiming at tackling the challenge of coverage, capacity, the user data rate and movement speed of mobile communication system.

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“…Conventional cloud computing systems enable UEs to utilize the powerful computing capability in remote public clouds; however, long latency may be incurred due to the data exchange in wide area networks (WANs). In order to reduce the latency, MEC systems have been proposed to deploy computing resource closer to UEs within the radio access network (RAN) [2]. A typical MEC system is shown in Figure 1 [3].…”

Section: Introductionmentioning

confidence: 99%

Task Offloading with Power Control for Mobile Edge Computing Using Reinforcement Learning-Based Markov Decision Process

Zhang

Sun

et al. 2020

Mobile Information Systems

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This paper proposes an efficient computation task offloading mechanism for mobile edge computing (MEC) systems. The studied MEC system consists of multiple user equipment (UEs) and multiple radio interfaces. In order to maximize the number of UEs benefitting from the MEC, the task offloading and power control strategy for a UE is optimized in a joint manner. However, the problem of finding the optimal solution is NP-hard. We then reformulate the problem as a Markov decision process (MDP) and develop a reinforcement learning- (RL-) based algorithm to solve the MDP. Simulation results show that the proposed RL-based algorithm achieves a near-optimal performance compared to the exhaustive search algorithm, and it also outperforms the received signal strength- (RSS-) based method no matter from the standpoint of the system (as it leads to a larger number of beneficial UEs) or an individual (as it generates a lower computation overhead for a UE).

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Orbital Angular Momentum for Wireless Communications

Cited by 172 publications

References 14 publications

Measurements and Characterization of Twisted Radio Wave Multipath for Indoor Wireless Communication and Security System

Measurements and Characterization of Twisted Radio Wave Multipath for Indoor Wireless Communication and Security System

Vision, Requirements, and Technology Trend of 6G: How to Tackle the Challenges of System Coverage, Capacity, User Data-Rate and Movement Speed

Task Offloading with Power Control for Mobile Edge Computing Using Reinforcement Learning-Based Markov Decision Process

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