Social Network-Based Content Delivery in Device-to-Device Underlay Cellular Networks Using Matching Theory

Xu, Chen; Gao, Caixia; Zhou, Zhenyu; Chang, Zheng; Jia, Yunjian

doi:10.1109/access.2016.2621010

Cited by 78 publications

(51 citation statements)

References 39 publications

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“…Besides, the transmit power of D2D TXs and RSs must be controlled to guarantee the QoS of UEs and achieve the maximum EE simultaneously, which also increases the complexity of the problem. Compared with our previously proposed works [11,12,26,27], this work focuses on the multi-hop D2D links, which was not investigated before, and the optimization problem in this work is a four-dimensional matching among D2D pairs, relay selections and resource blocks (RBs) reused in the first and second hop of two-hop D2D links, which is much more complicated than the previous works. Since the problem involved in this work is a joint optimization problem with multidimensional variables, it cannot be solved by using the previously proposed algorithm directly.…”

Section: Background and Motivationmentioning

confidence: 98%

“…As the co-channel interference exists in the underlying mode of the D2D communication network, the resource allocation problem must be solved under the interference constrains to guarantee the quality of communications [48,49]. In [12], a three-dimensional matching algorithm was applied to maximize the weighted channel rate of the system, which explored the information from both the social layer and the physical layer. However, the EE performance was neglected.…”

Section: Related Workmentioning

confidence: 99%

“…In [12], a three-dimensional iterative matching algorithm was proposed to maximize the sum rate of D2D pairs weighted by the intensity of social relationships. The work in [26] focused on the energy-efficient context-aware resource allocation problem.…”

Section: Related Workmentioning

confidence: 99%

“…Since the underlay mode D2D communication brings new problems and challenges to the cellular networks, one of the crucial issues is the intelligent resource allocation strategy for both D2D UEs and CUEs to guarantee their QoS [12][13][14]. Due to the low cost and the few modifications to current infrastructures, the D2D relay may work more efficiently than fixed relays [15].…”

Section: Background and Motivationmentioning

confidence: 99%

See 3 more Smart Citations

Joint Relay Selection and Resource Allocation for Energy-Efficient D2D Cooperative Communications Using Matching Theory

Feng

Huang

et al. 2017

Applied Sciences

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Device-to-device (D2D) cooperative relay can improve network coverage and throughput by assisting users with inferior channel conditions to implement multi-hop transmissions. Due to the limited battery capacity of handheld equipment, energy efficiency is an important issue to be optimized. Considering the two-hop D2D relay communication scenario, this paper focuses on how to maximize the energy efficiency while guaranteeing the quality of service (QoS) requirements of both cellular and D2D links by jointly optimizing relay selection, spectrum allocation and power control. Since the four-dimensional matching involved in the joint optimization problem is NP-hard, a pricing-based two-stage matching algorithm is proposed to reduce dimensionality and provide a tractable solution. In the first stage, the spectrum resources reused by relay-to-receiver links are determined by a two-dimensional matching. Then, a three-dimensional matching is conducted to match users, relays and the spectrum resources reused by transmitter-to-relay links. In the process of preference establishment of the second stage, the optimal transmit power is solved to guarantee that the D2D link has the maximized energy efficiency. Simulation results show that the proposed algorithm not only has a good performance on energy efficiency, but also enhances the average number of served users compared to the case without any relay.

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Section: Background and Motivationmentioning

confidence: 98%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Background and Motivationmentioning

confidence: 99%

See 2 more Smart Citations

Joint Relay Selection and Resource Allocation for Energy-Efficient D2D Cooperative Communications Using Matching Theory

Feng

Huang

et al. 2017

Applied Sciences

Self Cite

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“…Besides, this work was extended to large-scale networks and acquired significant performance gains. In [21], a 3D iterative matching algorithm was proposed to maximize the sum rate of D2D pairs while guaranteeing the QoS requirement of both cellular communication and D2D communication.…”

Section: Wireless Communications and Mobile Computingmentioning

confidence: 99%

Game-Theoretic Social-Aware Resource Allocation for Device-to-Device Communications Underlaying Cellular Network

Wang

Zhang

et al. 2018

Wireless Communications and Mobile Computing

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Device-to-Device communication underlaying cellular network can increase the spectrum efficiency due to direct proximity communication and frequency reuse. However, such performance improvement is influenced by the power interference caused by spectrum sharing and social characteristics in each social community jointly. In this investigation, we present a dynamic game theory with complete information based D2D resource allocation scheme for D2D communication underlaying cellular network. In this resource allocation method, we quantify both the rate influence from the power interference caused by the D2D transmitter to cellular users and rate enhancement brought by the social relationships between mobile users. Then, the utility function maximization game is formulated to optimize the overall transmission rate performance of the network, which synthetically measures the final influence from both power interference and sociality enhancement. Simultaneously, we discuss the Nash Equilibrium of the proposed utility function maximization game from a theoretical point of view and further put forward a utility priority searching algorithm based resource allocation scheme. Simulation results show that our proposed scheme attains better performance compared with the other two advanced proposals.

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Throughput performance of a non‐linear energy‐harvesting cognitive radio‐enabled device‐to‐device network

Kumar

Bhowmick

2022

Int J Communication

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Summary In cellular networks, device‐to‐device (D2D) communication is a new paradigm. In this paper, the performance of a non‐linear energy‐harvesting D2D communication network underlaying a cellular network is studied under a channel quality constraint. To make the study more realistic, spectrum sensing is incorporated with the D2D communication. Thus, the user equipments (UEs), that is, D2D devices, are enabled with cognitive radio (CR) technology. Since the UEs are battery powered, there exists an energy constraint. Thus, each UE is also equipped with an energy‐harvesting circuit and harvest energy from radio frequency (RF) signal of power transfer units (PTUs) and cellular users (CUs). Each UE uses its harvested energy for transmission. A D2D transmitter uses sensing information to decide its mode of transmission over a CU channel and is shared in hybrid mode. An algorithm is proposed based on threshold‐based censoring to maximize the throughput. In the proposed scheme, D2D users associated with the bad quality of channels are eliminated from the transmission process. Analytical expressions of throughput and improvement in spectrum utilization (ISU) are developed. The impact of the interference threshold to CU, the censoring threshold and the saturation level of the energy harvester on throughput is studied. The network performance is also investigated for several types of channels. It is found that the amount of fading has a significant impact on throughput performance. It is observed that the proposed scheme outperforms the conventional scheme.

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Social Network-Based Content Delivery in Device-to-Device Underlay Cellular Networks Using Matching Theory

Cited by 78 publications

References 39 publications

Joint Relay Selection and Resource Allocation for Energy-Efficient D2D Cooperative Communications Using Matching Theory

Joint Relay Selection and Resource Allocation for Energy-Efficient D2D Cooperative Communications Using Matching Theory

Game-Theoretic Social-Aware Resource Allocation for Device-to-Device Communications Underlaying Cellular Network

Throughput performance of a non‐linear energy‐harvesting cognitive radio‐enabled device‐to‐device network

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