Robust Beamforming for Physical Layer Security in BDMA Massive MIMO

Zhu, Fengchao; Gao, Feifei; Lin, Hai; Jin, Shi; Zhao, Junhui; Qian, Gongbin

doi:10.1109/jsac.2018.2824259

Cited by 38 publications

(25 citation statements)

References 45 publications

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“…As φ increases, both R N and R R grow since more signal power is allocated to the users. By comparing (19) and (20)…”

Section: A Achievable Ergodic Rate Of Each Usermentioning

confidence: 99%

“…Applying Lemma 1 and using (19), (20), and (23), a lower bound for the achievable secrecy rate of each user is obtained as follows…”

Section: Lower Bound For the Achievable Secrecy Ratementioning

confidence: 99%

“…The AN is usually designed to be orthogonal to the channel of the intended receivers, thus causing no additional interference to the legitimate users [17], [18]. In order to further combat the uncertainty of channel information at the transmitter, robust beamforming design for physical layer security with the aid of AN has been studied in [19].…”

Section: Introductionmentioning

confidence: 99%

“…While common sense dictates that low-resolution DAC quantization degrades system performance in conventional massive MIMO systems, it is interesting to consider the possibility that DAC quantization could enhance secrecy capacity in some scenarios. To the best of our knowledge, only few of the existing works (e.g., [9]- [19], [28]- [34]) have investigated secure massive MIMO communications using low-resolution DACs.…”

Section: Introductionmentioning

confidence: 99%

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Secure Massive MIMO Communication With Low-Resolution DACs

Zhu

et al. 2019

IEEE Trans. Commun.

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In this paper, we investigate secure transmission in a massive multiple-input multiple-output (MIMO) system adopting low-resolution digital-to-analog converters (DACs). Artificial noise (AN) is deliberately transmitted simultaneously with the confidential signals to degrade the eavesdropper's channel quality. By applying the Bussgang theorem, a DAC quantization model is developed which facilitates the analysis of the asymptotic achievable secrecy rate. Interestingly, for a fixed power allocation factor φ, low-resolution DACs typically result in a secrecy rate loss, but in certain cases they provide superior performance, e.g., at low signal-to-noise ratio (SNR). Specifically, we derive a closed-form SNR threshold which determines whether low-resolution or highresolution DACs are preferable for improving the secrecy rate. Furthermore, a closed-form expression for the optimal φ is derived. With AN generated in the null-space of the user channel and the optimal φ, low-resolution DACs inevitably cause secrecy rate loss. On the other hand, for random AN with the optimal φ, the secrecy rate is hardly affected by the DAC resolution because the negative impact of the quantization noise can be compensated for by reducing the AN power. All the derived analytical results are verified by numerical simulations. Index TermsPhysical layer security, massive multiple-input multiple-output (MIMO), digital-to-analog converter (DAC), artificial noise (AN)

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“…As φ increases, both R N and R R grow since more signal power is allocated to the users. By comparing (19) and (20)…”

Section: A Achievable Ergodic Rate Of Each Usermentioning

confidence: 99%

“…Applying Lemma 1 and using (19), (20), and (23), a lower bound for the achievable secrecy rate of each user is obtained as follows…”

Section: Lower Bound For the Achievable Secrecy Ratementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Secure Massive MIMO Communication With Low-Resolution DACs

Zhu

et al. 2019

IEEE Trans. Commun.

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“…Chen et al [97] analyzed the physical layer security for cooperative NOMA systems. Pan et al [98] presented hierarchal physical layer security architecture for the 5G Networks based on the cross-layer lightweight authentication scheme and a physical layer security assisted encryption scheme. These schemes are based on the key streams and the channel information.…”

Section: Secure Physical Layer Formations In 5gmentioning

confidence: 99%

A Survey on the Security and the Evolution of Osmotic and Catalytic Computing for 5G Networks

Choudhary

Sharma

2019

5G Enabled Secure Wireless Networks

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The 5G networks have the capability to provide high compatibility for the new applications, industries, and business models. These networks can tremendously improve the quality of life by enabling various use cases that require high data-rate, low latency, and continuous connectivity for applications pertaining to eHealth, automatic vehicles, smart cities, smart grid, and the Internet of Things (IoT). However, these applications need secure servicing as well as resource policing for effective network formations. There have been a lot of studies, which emphasized the security aspects of 5G networks while focusing only on the adaptability features of these networks. However, there is a gap in the literature which particularly needs to follow recent computing paradigms as alternative mechanisms for the enhancement of security. To cover this, a detailed description of the security for the 5G networks is presented in this article along with the discussions on the evolution of osmotic and catalytic computing based security modules. The taxonomy on the basis of security requirements is presented, which also includes the comparison of the existing state-of-the-art solutions. This article also provides a security model, "CATMOSIS", which idealizes the incorporation of security features on the basis of catalytic and osmotic computing in the 5G networks. Finally, various security challenges and open issues are discussed to emphasize the works to follow in this direction of research. and vulnerabilities have been evolving continuously with the networks because of an increase in the number of users where attackers try to exploit the potential weaknesses. To easily follow these issues and aspects, an overview of 5G applications, technologies, features and performance challenges and standardization are presented in Fig.1 and Fig.2. Current 5G networks are supported by different technology enablers, which include Fig 2. An illustration of 5G evolution, standardization and known security attacks. Applications of 5G networks:The major applications of the 5G networks are provided below:1. Autonomous Vehicle: The automatic controlled driving car and vehicles are key enablers of Vehicle-to-Vehicle (V2V), Vehicle-to-Infrastructure (V2I) and other Intelligent Transport Systems (ITS). The 5G network supports large bandwidth and low latency for these applications with high connection reliability. This network supports collision avoidance and intelligent navigation for the reliable transportation systems [6] [7]. Public Safety Communications (PSCs):The PSCs facilitated various communication services in case of emergencies when the primary communication infrastructure is not available. The PSCs incorporated rapid deployment and accessibility of communication set-up. Therefore, 5G enabled communications supports a wide range of applications and long-term connectivity for the services in case of emergencies [12]. 3. Military Applications: The Military involved mission-critical control application which requires high data rate and long-term c...

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Deep Learning Enabled Physical Layer Security to Combat Eavesdropping in Massive MIMO Networks

Siyad

Tamilselvan

2020

Lecture Notes on Data Engineering and Communications Technologies

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Robust Beamforming for Physical Layer Security in BDMA Massive MIMO

Cited by 38 publications

References 45 publications

Secure Massive MIMO Communication With Low-Resolution DACs

Secure Massive MIMO Communication With Low-Resolution DACs

A Survey on the Security and the Evolution of Osmotic and Catalytic Computing for 5G Networks

Deep Learning Enabled Physical Layer Security to Combat Eavesdropping in Massive MIMO Networks

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