A Survey on MIMO Transmission With Finite Input Signals: Technical Challenges, Advances, and Future Trends

Wu, Yongpeng; Xiao, Chengshan; Ding, Zhi; Gao, Xiqi; Jin, Shi

doi:10.1109/jproc.2018.2848363

Cited by 60 publications

(39 citation statements)

References 481 publications

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“…An ambitious future direction is to consider an extension of the result in this paper to a general MIMO channel. For a recent survey on discrete inputs in MIMO systems the interested reader is referred to [31,Corollary 4].…”

Section: Discussionmentioning

confidence: 99%

On the Capacity of the Peak Power Constrained Vector Gaussian Channel: An Estimation Theoretic Perspective

Dytso

Poor

et al. 2019

IEEE Trans. Inform. Theory

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This paper studies the capacity of an n-dimensional vector Gaussian noise channel subject to the constraint that an input must lie in the ball of radius R centered at the origin. It is known that in this setting the optimizing input distribution is supported on a finite number of concentric spheres. However, the number, the positions and the probabilities of the spheres are generally unknown. This paper characterizes necessary and sufficient conditions on the constraint R such that the input distribution supported on a single sphere is optimal. The maximumRn, such that using only a single sphere is optimal, is shown to be a solution of an integral equation. Moreover, it is shown thatRn scales as √ n and the exact limit ofR n √ n is found.

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Section: Discussionmentioning

confidence: 99%

On the Capacity of the Peak Power Constrained Vector Gaussian Channel: An Estimation Theoretic Perspective

Dytso

Poor

et al. 2019

IEEE Trans. Inform. Theory

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“…One is to perform precoding under fixed input probability distribution and system constraints. The other is to optimize the input distributions that can achieve secrecy rates as close as possible to the secrecy capacity [60].…”

Section: A Single Edmentioning

confidence: 99%

Physical Layer Security for Visible Light Communication Systems: A Survey

Arfaoui

Soltani

Tavakkolnia

et al. 2020

IEEE Commun. Surv. Tutorials

169

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Due to the dramatic increase in high data rate services and in order to meet the demands of the fifth-generation (5G) networks, researchers from both academia and industry are exploring advanced transmission techniques, new network architectures and new frequency spectrum such as the visible light and the millimeter wave (mmWave) spectra. Visible light communication (VLC) particularly is an emerging technology that has been introduced as a promising solution for 5G and beyond, owing to the large unexploited spectrum, which translates to significantly high data rates. Although VLC systems are more immune against interference and less susceptible to security vulnerabilities since light does not penetrate through walls, security issues arise naturally in VLC channels due to their open and broadcasting nature, compared to fiber-optic systems. In addition, since VLC is considered to be an enabling technology for 5G, and security is one of the 5G fundamental requirements, security issues should be carefully addressed and resolved in the VLC context. On the other hand, due to the success of physical layer security (PLS) in improving the security of radio-frequency (RF) wireless networks, extending such PLS techniques to VLC systems has been of great interest. Only two survey papers on security in VLC have been published in the literature. However, a comparative and unified survey on PLS for VLC from information theoretic and signal processing point of views is still missing. This paper covers almost all aspects of PLS for VLC, including different channel models, input distributions, network configurations, precoding/signaling strategies, and secrecy capacity and information rates. Furthermore, we propose a number of timely and open research directions for PLS-VLC systems, including the application of measurement-based indoor and outdoor channel models, incorporating user mobility and device orientation into the channel model, and combining VLC and RF systems to realize the potential of such technologies.

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“…Then, we substitute (9) into (7) and restrict R (1) nkt to be greater than zero. Once R (1) nkt is determined, the problem in (5) becomes a 0-1 integer linear programming (0-1 ILP) problem, which can be formulated as:…”

Section: Specially If Rmentioning

confidence: 99%

Joint Millimeter Wave and Microwave Wave Resource Allocation Design for Dual-Mode Base Stations

Feng

Liao²,

et al. 2019

2019 IEEE Wireless Communications and Networking Conference (WCNC)

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In this paper, we consider the design of joint resource blocks (RBs) and power allocation for dual-mode base stations operating over millimeter wave (mmW) band and microwave (µW) band. The resource allocation design aims to minimize the system energy consumption while taking into account the channel state information, maximum delay, load, and different types of user applications (UAs). To facilitate the design, we first propose a group-based algorithm to assign UAs to multiple groups. Within each group, low-power UAs, which often appear in short distance and experience less obstacles, are inclined to be served over mmW band. The allocation problem over mmW band can be solved by a greedy algorithm. Over µW band, we propose an estimation-optimal-descent algorithm. The rate of each UA at all RBs is estimated to initialize the allocation. Then, we keep altering RB's ownership until any altering makes power increases. Simulation results show that our proposed algorithm offers an excellent tradeoff between low energy consumption and fair transmission.

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A Survey on MIMO Transmission With Finite Input Signals: Technical Challenges, Advances, and Future Trends

Cited by 60 publications

References 481 publications

On the Capacity of the Peak Power Constrained Vector Gaussian Channel: An Estimation Theoretic Perspective

On the Capacity of the Peak Power Constrained Vector Gaussian Channel: An Estimation Theoretic Perspective

Physical Layer Security for Visible Light Communication Systems: A Survey

Joint Millimeter Wave and Microwave Wave Resource Allocation Design for Dual-Mode Base Stations

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