Analytical Modeling of Mode Selection for Moving D2D-Enabled Cellular Networks

Xu, Xiaodong; Zhang, Yi; Sun, Zhao; Hong, Yateng; Tao, Xiaofeng

doi:10.1109/lcomm.2016.2552171

Cited by 36 publications

(31 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As the underlay to the upcoming 5G networks, the development of D2D communication has attracted a lot of attention from both academia and industry. Major research regarding radio resource allocation [5], mode selection [1] and interference management [2] have been widely studied, while only a few works have been done emphasizing on the security and privacy protection for D2D communication in both the academic and standardization communities. In 2014, a detailed survey emphasizing on the D2D infrastructure, the major threads and security requirements [3] is presented by Alam et al After that, Yue et al initially illustrated the D2D communication into information-theoretic secrecy problem of cellular communication, where the secrecy outage probability is utilized to depict the uncertainty of the eavesdropper [18].…”

Section: Related Workmentioning

confidence: 99%

“…Device-to-Device (D2D) communication is defined as a promising short-distance communicating strategy, which is capable of directly conducting effective data exchange among the proximate entities without involvement of the cellular core network. As for conventional cellular networking services, connectivity between the mobile devices is subjected to the coverage of access point or base stations, where direct communication among mobile devices is not offered [1]. Instead, all the involved traffic floods should be processed through the core cellular network, which severely restrains the large-scale implementation of massive and reliable data exchange between mobile devices.…”

Section: Introductionmentioning

confidence: 99%

“…Accordingly, various charted and uncharted secure threats including eavesdropping, impersonation and replaying can be prevented, which is indispensable for the upcoming 5G practical implementation.Currently, emphasizing the D2D secure authentication issue, lots of research achievements have been made, adopting diverse cryptographic design and verification methods [2]. Note that in some, the key information for individual UEs are fully organized by the key generation center (KGC), resulting in a potential key escrow problem [1,11]. For this consideration, it is of great importance for the UE to independently generate its own partial key information and keep it secret from all other entities including the KGC.…”

mentioning

confidence: 99%

See 2 more Smart Citations

Secure D2D Group Authentication Employing Smartphone Sensor Behavior Analysis

et al. 2019

View full text Add to dashboard Cite

Nowadays, with rapid advancement of both the upcoming 5G architecture construction and emerging Internet of Things (IoT) scenarios, Device-to-Device (D2D) communication provides a novel paradigm for mobile networking. By facilitating continuous and high data rate services between physically proximate devices without interconnection with access points (AP) or service network (SN), spectral efficiency of the 5G network can be drastically increased. However, due to its inherent open wireless communicating features, security issues and privacy risks in D2D communication remain unsolved in spite of its benefits and prosperous future. Hence, proper D2D authentication mechanisms among the D2D entities are of great significance. Moreover, the increasing proliferation of smartphones enables seamlessly biometric sensor data collecting and processing, which highly correspond to the user’s unique behavioral characteristics. For the above consideration, we present a secure certificateless D2D authenticating mechanism intended for extreme scenarios in this paper. In the assumption, the key updating mechanism only requires a small modification in the SN side, while the decryption information of user equipment (UEs) remains constant as soon as the UEs are validated. Note that a symmetric key mechanism is adopted for the further data transmission. Additionally, the user activities data from smartphone sensors are analyzed for continuous authentication, which is periodically conducted after the initial validation. Note that in the assumed scenario, most of the UEs are out of the effective range of cellular networks. In this case, the UEs are capable of conducting data exchange without cellular connection. Security analysis demonstrates that the proposed scheme can provide adequate security properties as well as resistance to various attacks. Furthermore, performance analysis proves that the proposed scheme is efficient compared with state-of-the-art D2D authentication schemes.

show abstract

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

See 1 more Smart Citation

Secure D2D Group Authentication Employing Smartphone Sensor Behavior Analysis

et al. 2019

View full text Add to dashboard Cite

show abstract

“…For the different scenarios, the mode selection method is considering the RSSs of the D2D and aerial links. The measurement results of RSS are usually averaged with filtering the received signal out through Layer-1 and Layer-3 [7]. Therefore, only the distance based path-loss is considered in RSS modeling [7].…”

Section: Proposed Schemes Descriptionmentioning

confidence: 99%

“…The measurement results of RSS are usually averaged with filtering the received signal out through Layer-1 and Layer-3 [7]. Therefore, only the distance based path-loss is considered in RSS modeling [7]. According to the power law, the RSSs for the D2D link, the DL, and the UL are presented as follows…”

Section: Proposed Schemes Descriptionmentioning

confidence: 99%

Mode selection schemes for D2D enabled unmanned aerial vehicle‐based wireless networks

Omri¹,

Hasna

Shakir³

et al. 2019

IET Communications

View full text Add to dashboard Cite

In this paper, we present and evaluate the effect of two mode selection schemes for device to device (D2D) enabled areal netwroks. The two schemes are based on a threshold received signal strength (RSS) and an average threshold D2D distance between two given users to select the D2D mode. While one scheme triggers the D2D mode based on distance values only, the other scheme can trigger D2D mode for larger distances if a minimum RSS value is received, for it to maximize connectivity regions. Numerical results show the advantage of the presented schemes in offloading traffic from aerial platforms and the effect of the environment on the performance of D2D enabled aerial networks.

show abstract

Cell Zooming With Energy‐Efficient Offloading in Cellular Network: An Optimization‐Assisted Model

Prabha,

Senthil,

Suganthi

2024

Int J Communication

View full text Add to dashboard Cite

With the speedy development of cellular users, conventional mobile network communications could not satisfy the requirements of rising traffic. The design of the user association approach should have the ability to balance the energy saving and traffic hotspot providence from the traffic cell sleeping system. Nevertheless, with the gradually rising denser deployment of small cells (SCs), the HetNets face novel challenges. This work aims to introduce a cell zooming (CZ) scheme that admits the EE traffic offloading. Thereby, the given model includes two phases, (i) energy efficient offloading: In this phase, appropriate traffic flow is predicted for the hybrid deep learning model that includes deep Q network (DQN) and reinforcement learning (RL). This prediction is related to the offload traffic from macrocell to small cell based on constraints like QoS and Energy, respectively. (ii) Cell zooming: After the prediction, adaptive CZ is preceded by an improved CZ factor with optimal threshold selection. For optimization, a new scaled bald eagle search optimization (SBESO) is used. The betterment of SBESO is established on throughput, SINR, and so forth.

show abstract

Analytical Modeling of Mode Selection for Moving D2D-Enabled Cellular Networks

Cited by 36 publications

References 6 publications

Secure D2D Group Authentication Employing Smartphone Sensor Behavior Analysis

Secure D2D Group Authentication Employing Smartphone Sensor Behavior Analysis

Mode selection schemes for D2D enabled unmanned aerial vehicle‐based wireless networks

Cell Zooming With Energy‐Efficient Offloading in Cellular Network: An Optimization‐Assisted Model

Contact Info

Product

Resources

About