Linear MMSE transceiver optimization for general MIMO wiretap channels with QoS constraints

Pei, Minyan; Wang, Lei; Ma, Dongtang

doi:10.1109/iccchina.2013.6671125

“…In our work, we thus consider a secure SMSE minimization-based transceiver design in the presence of multiple eavesdroppers. In the literature, only two instances of MMSE-based secure precoder design have been respectively discussed in [14] and [39], however, for a simple wiretap communication scenario. These designs cannot be readily adapted for the proposed system due to increased complexity related to the presence of multiple coordinating BSs and eavesdroppers.…”

Section: A Related Workmentioning

confidence: 99%

Secure and Robust MIMO Transceiver for Multicast Mission Critical Communications

Jagyasi

¹

,

Coupechoux

²

2022

IEEE Trans. Veh. Technol.

0

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Mission-critical communications (MCC) involve all communications between people in charge of the safety of the civil society. MCC have unique requirements that include improved reliability, security and group communication support. In this paper, we propose secure and robust Multiple-Input-Multiple-Output (MIMO) transceivers, designed for multiple Base Stations (BS) supporting multicast MCC in presence of multiple eavesdroppers. We formulate minimization problems with the Sum-Mean-Square-Error (SMSE) at legitimate users as an objective function, and a lower bound for the MSE at eavesdroppers as a constraint. Security is achieved thanks to physical layer security mechanisms, namely MIMO beamforming and Artificial Noise (AN). Reliability is achieved by designing a system which is robust to two types of channel state information errors: stochastic and norm-bounded. We propose a coordinate descent-based algorithm and a worst-case iterative algorithm to solve these problems. Numerical results at physical layer and system level reveal the crucial role of robust designs for reliable MCC. We show the interest of both robust design and AN to improve the security gap. We also show that full BS cooperation in preferred for highly secured and reliable MCC but dynamic clustering allows to trade-off security and reliability against capacity.Index Terms-mission critical communication (MCC), physical layer security, robust transceiver design I. INTRODUCTIONMission critical communications (MCC) are all communications between people in charge of the security and the safety of the civil society. Employees of public safety services, like policemen, firemen, rescue teams and ambulance nurses, but also from large companies managing critical infrastructures in the energy or transportation sectors require MCC for their operations [1]. MCC are conveyed by dedicated Private Mobile Radio (PMR) networks [2] that offer a group (or multicast) communication service. This is a one-to-many or many-tomany communication [3], which is one of the most important features of PMR networks and is essential to manage teams of employees. In 5G New Radio, group communication will be supported for MCC from Release R17 onwards [4]. Due to the critical aspects of their missions, MCC users also inherently require highly reliable and secure communication. In particular, sensitive information should not leak to unintended receivers although the broadcast nature of the wireless channel makes the network vulnerable to malicious eavesdroppers.

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“…In our work, we thus consider a secure SMSE minimization-based transceiver design in the presence of multiple eavesdroppers. In the literature, only two instances of minimum MSE-based secure precoder design have been respectively discussed in [34] and [35], however, for a simple wiretap communication scenario. These designs cannot be readily adapted for the proposed system due to increased complexity related to the presence of multiple coordinating BSs and eavesdroppers.…”

Section: A Related Workmentioning

confidence: 99%

Secure and Robust MIMO Transceiver for Multicast Mission Critical Communications

Jagyasi¹,

Coupechoux²

2020

Preprint

0

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Mission-critical communications (MCC) involve all communications between people in charge of the safety of the civil society. MCC have unique requirements that include improved reliability, security and group communication support. In this paper, we propose a secure and robust Multiple-Input-Multiple-Output (MIMO) transceiver, designed for multiple Base Stations supporting multicast MCC in presence of multiple eavesdroppers. We formulate minimization problems with the Sum-Mean-Square-Error (SMSE) at legitimate users as an objective function, and a lower bound for the MSE at eavesdroppers as a constraint. Security is achieved thanks to physical layer security mechanisms, namely MIMO beamforming and Artificial Noise (AN). Reliability is achieved by designing a system which is robust to Channel State Information errors. They can be of known distribution or norm-bounded. In the former case, a coordinate descent algorithm is proposed to solve the problem. In the latter case, we propose an worst-case based iterative algorithm. Numerical results at physical layer and system level reveal the crucial role of robust designs for reliable MCC. We show the interest of both robust design and AN to improve the security gap. We show that full BS cooperation in preferred for highly secured and reliable MCC but dynamic clustering allows to trade-off security and reliability against capacity.

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“…Multiple antennas transmission can significantly enhance the secrecy rate performance of wireless systems [17][18][19][20]. Beamforming techniques, such as zero-forcing beamforming (ZFBF) and minimum mean squared error (MMSE), are proposed to increase the SNR difference between a legitimate user and an eavesdropper over a multiple-input single-output (MISO) broadcast channel [21][22][23][24][25]. Furthermore, multiuser multiple-input multipleoutput (MU-MIMO) transmission can leverage multiple users as spatially distributed transmission resources in order to improve system secrecy performance [26,27].…”

Section: Related Workmentioning

confidence: 99%

“…After substituting (9) and (11) into (24), applying the binomial expansion [56, eq. (1.111)], and performing integration, we obtain the closed-form expression of the SOP as…”

Section: Exact Analysis: Usingmentioning

confidence: 99%

Physical layer secrecy performance of multiple antennas transmission with partial legitimate user CSI

Bao

¹

,

Yang

²

,

Hasna

³

2019

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Linear MMSE transceiver optimization for general MIMO wiretap channels with QoS constraints

Cited by 6 publications

References 16 publications

Secure and Robust MIMO Transceiver for Multicast Mission Critical Communications

Secure and Robust MIMO Transceiver for Multicast Mission Critical Communications

Secure and Robust MIMO Transceiver for Multicast Mission Critical Communications

Physical layer secrecy performance of multiple antennas transmission with partial legitimate user CSI

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