Efficient Resource Allocation and Power Control for LTE-A D2D Communication With Pure D2D Model

Lai, Wei-Kuang; Wang, You‐Chiun; Lin, He-Cian; Li, Jianwen

doi:10.1109/tvt.2020.2964286

Cited by 107 publications

(45 citation statements)

References 36 publications

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“…Thereafter, we considered the device-to-device (D2D) network, which is typically used for relaying systems [29]. We assumed the relaying system based on the model in [30] for the remaining users, as depicted in Fig. 1.…”

Section: User Traffic Modelmentioning

confidence: 99%

Base Station Switching and Sleep Mode Optimization With LSTM-Based User Prediction

Jang

Kim

et al. 2020

IEEE Access

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Section: User Traffic Modelmentioning

confidence: 99%

Base Station Switching and Sleep Mode Optimization With LSTM-Based User Prediction

Jang

Kim

et al. 2020

IEEE Access

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“…D2D communication can achieve high sum-rate, low delay and low power consumption [3] [4]. Introducing D2D into cellular networks [5] means the D2D users reuse the wireless resource of cellular networks. Therefore, the interferences of cellular networks with D2D communications include the interference between device users, the interference between device users and cellular users and the interference between cellular users, which is more complex than that of conventional cellular networks.…”

Section: Introductionmentioning

confidence: 99%

Joint Interference Alignment and Power Allocation Based on Stackelberg Game in Device-to-Device Communications Underlying Cellular Networks

et al. 2021

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As a promising wireless communication technique, Device-to-Device (D2D) can improve the utilization of spectrum resources, overall system throughput and reduce end-to-end delay, energy consumption by exploiting the direct radio link between local devices. Meanwhile, introducing D2D in cellular networks is very challenging due to the complex interference problem. To deal with the complex interference of D2D Underlying Cellular Networks, Interference alignment (IA) as an efficient interference management technique is extensively studied for D2D communications underlaying the cellular networks. However, most of the previous researches on IA only consider the equal power allocation for users, which leads to suboptimal overall system throughput. In order to further improve the system performance, in this paper, we propose a joint power allocation based on stackelberg game and interference alignment algorithm (STPA-IA) to eliminate the complex interference in D2D communications underlaying cellular networks. In this joint approach, the base station (BS) is modeled as the leader while the D2D pairs are followers. The performance of network system and that of D2D users are regarded as the revenues of leader and followers in stackelberg game. The strategy of the leader (BS) is to get the maximum benefits by reducing the interference, while the followers tend to (D2D pairs) maximize their own utility according to leader's strategy. The non-cooperative game is proved to get the nash equilibrium by the above strategies. Moreover, the close-form expression of the allocated power by maximum the unity function of leader and followers is derived. Extensive simulation results demonstrate that the proposed algorithm outperforms previous works in terms of sum-rate with lower time complexity.

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“…To reduce the interference level of the D2D system, many a algorithms has been brought out in the literature [6][7][8]. To optimize the maximize links for supporting the network is defined by the paper [9], and D2D resource allocation and power control (DRAPC) framework can be noticed. The search algorithm in [10] and matching algorithm in [11] are used to solve the resource allocation problem in underlaying D2D communications.…”

Section: Introductionmentioning

confidence: 99%

Improving quality of service for cell-edge user in D2D-relay networks

Xing

Cao

Zhou

2021

Preprint

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In this paper, we investigate a scenario of D2D-relay communications where one D2D user may help cell-edge user to exchange information for improving its quality of service (QoS). We formulate a resource allocation problem, which aims at maximizing the data rate of the cell-edge user. In particular, we propose an iterative power allocation algorithm and derive the optimal closed-form power allocation expressions by Lagrangian dual method. Simulation results verify the theoretical solution and show that our D2D-relay scheme achieves higher spectrum efficiency than the traditional cellular-relay communication scheme.

show abstract

Efficient Resource Allocation and Power Control for LTE-A D2D Communication With Pure D2D Model

Cited by 107 publications

References 36 publications

Base Station Switching and Sleep Mode Optimization With LSTM-Based User Prediction

Base Station Switching and Sleep Mode Optimization With LSTM-Based User Prediction

Joint Interference Alignment and Power Allocation Based on Stackelberg Game in Device-to-Device Communications Underlying Cellular Networks

Improving quality of service for cell-edge user in D2D-relay networks

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