Cluster-Based Multicast Transmission for Device-to-Device (D2D) Communication

Peng, Bo; Peng, Tao; Liu, Ziyang; Yang, Yue; Hu, Chunjing

doi:10.1109/vtcfall.2013.6692134

Cited by 47 publications

(21 citation statements)

References 4 publications

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“…We use the clustered distribution model adopted in [17], where a 400 m × 400 m square area is used to simulate the network. Cluster heads are randomly distributed in the simulation area according to the uniform distribution and the D2D users are randomly distributed in the corresponding multicast cluster.…”

Section: Simulation Resultsmentioning

confidence: 99%

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

et al. 2017

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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.

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Section: Simulation Resultsmentioning

confidence: 99%

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

et al. 2017

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“…As a result, according to the physical user distribution as well as social tie strength among users, different multicast group is formulated by the CH in a distributed way. Compared with the cluster formation method proposed in [44] which is carried out in a centralized way by the BS, our proposed social tie based group formation method can be adaptable to changing user numbers and social relationships, where a multicast group is formulated based on both network and social dimension requirement. Figure 3 illustrates the sum energy efficiency of the D2D multicast group with the variation of the D2D group radius.…”

Section: Simulationsmentioning

confidence: 99%

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

Jiang

Liu

et al. 2017

Mobile Information Systems

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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.

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“…From Equation (19), it can be easily found that the optimal λ must be positive, since λ = 0 implies that the equation…”

Section: Sinr Assignment For One D2d Multicast Groupmentioning

confidence: 99%

“…With simple mathematical operations, Equation (19) can be rewritten into following quadratic equation:…”

Section: Sinr Assignment For One D2d Multicast Groupmentioning

confidence: 99%

Multi-Objective Resource Allocation Scheme for D2D Multicast with QoS Guarantees in Cellular Networks

Zhang

Al-qaness

2016

Applied Sciences

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Device-to-device (D2D) multicast communication can greatly improve the spectrum utilization in a content delivery scenario. However, the co-channel interference and power consumption brought by D2D bring new challenges. All the D2D multicast groups expect to achieve a higher system capacity with less extra energy cost. In this paper, we investigate the uplink resource allocation issue when D2D multicast groups share the resources with other cellular uses (CUs), while guaranteeing a certain level of quality of service (QoS) to CUs and D2D users. Firstly we address a flexible tradeoff framework in which the system power consumption and the system capacity (i.e., the number of admitted D2D links) are assigned with different weight factors so that these two objectives are jointly considered. Then we propose an efficient resource optimization scheme, which comprises sub-channel allocation and signal-to-interference-plus-noise ratio (SINR) assignment. Numerical results validate the effectiveness of the proposed framework, and demonstrate the advantages in dealing with the proposed multi-objective optimization problem.

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Cluster-Based Multicast Transmission for Device-to-Device (D2D) Communication

Cited by 47 publications

References 4 publications

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

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

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

Multi-Objective Resource Allocation Scheme for D2D Multicast with QoS Guarantees in Cellular Networks

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