Safeguarding Non-Best User Association Aided 5G K-Tier HetNets Using Physical Layer Security

Zhou, Meng; Xie, Mangang; Zhang, Yao; Jia, Xiangdong; Yang, Longxiang

doi:10.1109/vtcspring.2019.8746511

Cited by 3 publications

(4 citation statements)

References 17 publications

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“…Wang et al showed that a simple truncated user association scheme that assigns users to BSs whose transmitted signal strength must be above a given threshold can improve system secrecy throughput and secrecy probability [11]. Zhou et al showed that a non-best user association scheme that assigns a typical user to a non-best BS in terms of average received signal power can significantly improve secrecy probability [12]. Marabissi et al proposed a novel user association policy based on the secrecy metric called secrecy pressure [13].…”

Section: Related Work and Motivationmentioning

confidence: 99%

“…Naturally, one may wonder whether user association schemes can also be specifically designed to boost secrecy performance. A few recent works [11–13] confirm that user association is also a valuable tool we can leverage to further improve system secrecy performance. That motivate us to investigate a user association scheme that aims to improve secrecy performance under the threat of strategic and colluding adversaries.…”

Section: Introductionmentioning

confidence: 99%

“…Zhou et al. showed that a non‐best user association scheme that assigns a typical user to a non‐best BS in terms of average received signal power can significantly improve secrecy probability [12]. Marabissi et al.…”

Section: Introductionmentioning

confidence: 99%

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Secrecy‐oriented user association in ultra dense heterogeneous networks against strategically colluding adversaries

Dai

Chen

et al. 2022

IET Communications

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Network densification is recognized as the key technology to meet the ever growing demand of data traffic in next generation wireless networks. However the proliferation of small cell base stations (SCBSs) introduces vulnerabilities to information security, as they are prone to eavesdropping attacks. In this paper, it is studied how user association strategies can be specifically tailored to meet this security challenge in a ultra dense heterogeneous cellular network(UDHCN) with a group of colluding eavesdroppers. In particular, the situation is considered where eavesdroppers may have limited capabilities in intercepting and decoding data traffic. In this setting each eavesdropper has to make its own decision on eavesdropping targets, and they are able to take concerted actions to sabotage information security. To address this challenge, a zero sum game framework to reflect the conflicting interests of users and eavesdroppers is proposed and a user association scheme is devised that aims to maximize system sum secrecy rate against these adversaries whose actions intend to minimize sum secrecy rate. The case that all adversaries have limited eavesdropping capabilities is first considered, and it is shown that the corresponding zero sum game is indeed a bilinear game, and its Nash equilibrium solution can be readily approximated using a saddle point Frank Wolfe(SP-FW)algorithm. Then the framework is extended to the case where adversaries with a diverse configuration of eavesdropping capabilities exist. In this case, it is shown that the underlying minimax optimization problem is indeed a nonsmooth convex-nonconcave one. A two stage method is proposed by first smoothing the objective function with a Hermite cubic polynomial approximation, and then obtaining a nearly stationary solution via a recently proposed proximal point gradient descent method. Simulation results show that the proposed framework leads to significant increases in sum secrecy rate and secrecy probability against both the capability-limited adversaries and a hybrid type of adversaries.

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Section: Related Work and Motivationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Secrecy‐oriented user association in ultra dense heterogeneous networks against strategically colluding adversaries

Dai

Chen

et al. 2022

IET Communications

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“…In LTE homogeneous networks, the 3GPP association is based on the highest signal-to-noise ratio (SINR) or received signal strength (RSS) [4][5]. However, such an association is not viable in HetNets due to the various characteristics and diverse traits of the BSs engaged [6].…”

Section: Introductionmentioning

confidence: 99%

Particle Swarm Optimization Based Multi-Objective User Association for LTE-A Heterogeneous Networks

Summakieh

Tan

et al. 2021

Preprint

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Heterogeneous networks (HetNets) are a promising communication paradigm to satisfy the diverse requirements of Long Term Evolution-Advanced (LTE-A). Associating users with different base station tiers using the conventional technique based on the highest received SINR is not viable in HetNets due to its rigid association, which only aims at throughput maximization. Many e orts have been made to tackle the optimization problem of user association with a single objective such as throughput, fairness or energy efficiency. In this paper, we propose a novel multi-objective user association technique using particle swarm optimization (PSO) with the aim of jointly maximizing the throughput and the network balance index (NBI). By incorporating weight factors into the proposed scheme, the system operator has the flexibility to configure the priority levels of throughput and NBI. Numerical results demonstrate that our proposed multi-objective user association technique achieves better performance in terms of fitness values compared to the single-objective user association schemes.

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A new framework for Physical Layer Security in HetNets based on Radio Resource Allocation and Reinforcement Learning

2023

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Densification of networks through heterogeneous cells deployment is considered a key technology to satisfy the huge traffic growth in future wireless systems. In addition to achieving the required communication capacity and efficiency, another significant challenge arises from the broadcast nature of wireless channels: vulnerability to wiretapping. Physical-layer security is envisaged as an additional level of security to provide confidentiality of radio communications. Typical characteristics of the wireless channel (noise, interference) can be exploited to keep a message confidential from potential eavesdroppers. In particular, heterogeneous networks (HetNet) have inherent security features: while the legitimate user can benefit of the HetNet architecture, the eavesdropper is strongly affected by the inter-cell interference. This paper presents an overview of HetNets intrinsic security benefits, mainly focusing on users association and resource allocation policies. In particular, allocation of radio resources is a poorly investigated topic when related to information security. However, in systems with a large radio resource reuse like HetNets, co-channel interference can be suitably exploited to resist to the eavesdropper. This paper presents a new framework for radio resources allocation using reinforcement learning (Q-learning) to increase the security level in HetNets. A coordinated scheduling among different cells using the same radio resources is proposed based on the exploitation of the spatial information. The goal is to optimize the security at physical layer. The reinforcement learning approach represents a feasible and efficient solution to the proposed problem.

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Safeguarding Non-Best User Association Aided 5G K-Tier HetNets Using Physical Layer Security

Cited by 3 publications

References 17 publications

Secrecy‐oriented user association in ultra dense heterogeneous networks against strategically colluding adversaries

Secrecy‐oriented user association in ultra dense heterogeneous networks against strategically colluding adversaries

Particle Swarm Optimization Based Multi-Objective User Association for LTE-A Heterogeneous Networks

A new framework for Physical Layer Security in HetNets based on Radio Resource Allocation and Reinforcement Learning

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