Energy Efficient D2D Communications: A Perspective of Mechanism Design

Xu, Lei; Jiang, Chunxiao; Shen, Yanyao; Quek, Tony Q. S.; Han, Zhu; Ren, Yong

doi:10.1109/twc.2016.2599870

Cited by 55 publications

(25 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Due to the increasing power consumption of information and communication technology (ICT) industry, the progress in battery technology of user terminals is rather slow. Given the limited battery capacity of mobile devices, energy-efficient solutions are imperative to be integrated into the D2D communications [9,10]. On the other hand, recent studies [11,12] show that the social behaviors of human beings who carry the handheld communication devices can be leveraged to improve the performance of D2D communications.…”

Section: Mobile Information Systemsmentioning

confidence: 99%

“…. , 7Find D2D and CUE from 18) (8if D2D ≤ DUE max and CUE ≤ CUE max then (9) D2D group m share resource with CUE n, (10) Substitute D2D and CUE into maximization problem built in (16), find the minimum transmit power so as to solve the overall energy-efficiency problem for D2D groups, (11) = + 1; (12) else (13) = + 1; (14) end if (15) end while Algorithm 1: An energy-aware resource and power allocation scheme for D2D multicast transmission.…”

Section: Mobile Information Systemsmentioning

confidence: 99%

“…Compute Re from (19)- (21), (8) if Re > Γ Energy (9) A = A \ {DUE }, (10) = + 1, (11) else (12) = + 1, (13) end if (14) else (15) = + 1, a × symmetric matrix H, it can be diagonalized using its eigenvalues and eigenvectors as follows:…”

Section: Social and Energy-aware Cluster Head Updated Algorithmmentioning

confidence: 99%

See 2 more Smart Citations

Energy-Efficient Multicast Transmission for Underlay Device-to-Device Communications: A Social-Aware Perspective

Jiang

Liu

et al. 2017

Mobile Information Systems

View full text Add to dashboard Cite

In this paper, by utilizing the social relationships among mobile users, we present a framework of energy-efficient cluster formation and resource allocation for multicast D2D transmission. In particular, we first deal with D2D multicast cluster/group formation strategy from both physical distance and social trust level. Then we aim to maximize the overall energy-efficiency of D2D multicast groups through resource allocation and power control scheme, which considers the quality-of-service (QoS) requirements of both cellular user equipment and D2D groups. A heuristic algorithm is proposed to solve above energy-efficiency problem with less complexity. After that, considering the limited battery capacity of mobile users, we propose an energy and social aware cluster head update algorithm, which incorporates both the energy constraint and social centrality measurement. Numerical results indicate that the proposed social-tie based D2D multicast group formation and update algorithm form a multicast group in an energy efficient way. Moreover, the proposed resource and power allocation scheme achieves better energy efficiency in terms of throughput per energy consumption. These results show that, by exploiting social domain information, underlay D2D multicast transmission has high practical potential in saving the source on wireless links and in the backhaul.

show abstract

Section: Mobile Information Systemsmentioning

confidence: 99%

Section: Mobile Information Systemsmentioning

confidence: 99%

See 1 more Smart Citation

Energy-Efficient Multicast Transmission for Underlay Device-to-Device Communications: A Social-Aware Perspective

Jiang

Liu

et al. 2017

Mobile Information Systems

View full text Add to dashboard Cite

show abstract

“…According to [13], the energy-efficiency (EE) of a single D2D multicast cluster m can be expressed as…”

Section: D2d M Kmentioning

confidence: 99%

Energy-Efficient Resource and Power Allocation for Underlay Multicast Device-to-Device Transmission

et al. 2017

View full text Add to dashboard Cite

Abstract:In this paper, we present an energy-efficient resource allocation and power control scheme for D2D (Device-to-Device) multicasting transmission. The objective is to maximize the overall energy-efficiency of D2D multicast clusters through effective resource allocation and power control schemes, while considering the quality of service (QoS) requirements of both cellular users (CUs) and D2D clusters. We first build the optimization model and a heuristic resource and power allocation algorithm is then proposed to solve the energy-efficiency problem with less computational complexity. Numerical results indicate that the proposed algorithm outperforms existing schemes in terms of throughput per energy consumption.

show abstract

“…Xu et al exploited an iterative combinatorial auction for resource allocation among D2D links with the objective of sum-rate maximization [30]. Xu et al applied mechanism design in [31] for coordinating D2D users to participate in traffic offloading from the BS. Kebriaei et al proposed a double auction to allocate bandwidth in a cellular network with a cognitive D2D user [32].…”

mentioning

confidence: 99%

Network Utility Maximization Based on an Incentive Mechanism for Truthful Reporting of Local Information

Gao

Zhao

Shen

2018

IEEE Trans. Veh. Technol.

View full text Add to dashboard Cite

Classic network utility maximization problems are usually solved assuming all information is available, implying that information not locally available is always truthfully reported. This may not be practical in all scenarios, especially in distributed/semi-distributed networks. In this paper, incentive for truthful reporting in network optimizations with local information is studied. A novel general model for extending network utility maximization (NUM) problems to incorporate local information is proposed, which allows each user to choose its own objective locally and/or privately.Two specific problems, i.e., a user-centric problem (UCP) and a network-centric problem (NCP), are studied. In the UCP, a network center aims to maximize the collective benefit of all users, and truthful reporting from the users regarding their local information is necessary for finding the solution. We show that the widely-adopted dual pricing cannot guarantee truthful information reporting from a user unless the resource is over-supplied or the price is too high for this user to afford. In the NCP, the network center has its own objective and preferred solution, and incentive needs to be provided for the users to adopt the solution it prefers. Truthful reporting from users is necessary for the center to determine the incentives and achieve its solution. For two-user and multiuser cases, we propose two mechanisms to motivate truthful reporting from users while guaranteeing nonnegative utility gains for both the users and the center. A case study on underlay D2D communication illustrates the application of the UCP and NCP. Simulations are conducted for the D2D application to validate the analytical results and demonstrate the proposed mechanisms.

show abstract

Energy Efficient D2D Communications: A Perspective of Mechanism Design

Cited by 55 publications

References 30 publications

Energy-Efficient Multicast Transmission for Underlay Device-to-Device Communications: A Social-Aware Perspective

Energy-Efficient Multicast Transmission for Underlay Device-to-Device Communications: A Social-Aware Perspective

Energy-Efficient Resource and Power Allocation for Underlay Multicast Device-to-Device Transmission

Network Utility Maximization Based on an Incentive Mechanism for Truthful Reporting of Local Information

Contact Info

Product

Resources

About