JOURNAL ARTICLE

Secrecy Ensured Socially Aware Resource Allocation in Device-to-Device Communications Underlaying HetNet

Manzoor AhmedYong LiYinxiao ZhuoMuhammad SherazDianlei XuDepeng Jin

Year: 2019 Journal:   IEEE Transactions on Vehicular Technology Vol: 68 (5)Pages: 4933-4948   Publisher: Institute of Electrical and Electronics Engineers

Abstract

Device-to-device (D2D) communication standardization is underway and considered as one of the key technologies in the 5G ecosystem. Eavesdropping is a well-known security risk for D2D communications. Thus, ensuring information security for both cellular users (CUs) and D2D pairs in an underlay network is quite challenging. In this paper, we look into the problem of physical-layer secure transmission jointly with resource allocation in D2D communications. Existing research works for D2D underlay networks considered perfect channel state information (CSI), which is usually unrealistic in practical networks due to the wireless channels' dynamic nature. Hence, unlike the previous works, we are considering imperfect CSI that include estimation errors. We leverage social-domain and frame a coalitional game approach, enabling multiple D2D pairs to share CU spectral resource. We assume heterogeneous cellular network based practical scenario considering multiple eavesdroppers, intra-cell interference, and inter-cell interference to evaluate achievable performances in terms of sum-rate and secrecy capacity for both CUs and D2D pairs. Moreover, we prove our proposed algorithm stability, convergence, and computational complexity. The simulation results establish the effectiveness of our proposed approach that not only maximizes the sum rate (i.e., 10%-60%) but also improves the secrecy capacity (i.e., 20%-67%) in comparison to the baseline schemes.

Keywords:
Underlay Computer science Computer network Channel state information Physical layer Heterogeneous network Cellular network Resource allocation Spectral efficiency Eavesdropping Secrecy Wireless Wireless network Distributed computing Channel (broadcasting) Signal-to-noise ratio (imaging) Telecommunications Computer security

Metrics

31
Cited By
2.39
FWCI (Field Weighted Citation Impact)
34
Refs
0.90
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced MIMO Systems Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Wireless Communication Security Techniques
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Cooperative Communication and Network Coding
Physical Sciences →  Computer Science →  Computer Networks and Communications

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