Resource Management for Device-to-Device Communications in Heterogeneous Networks Using Stackelberg Game

He, Yinuo; Wang, Feiran; Wu, Jianjun

doi:10.1155/2014/395731

Cited by 19 publications

(5 citation statements)

References 17 publications

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“…Authors in [8] proposed a Stackelberg game model for joint power control, spectrum sharing, and scheduling of D2D communication in heterogeneous macrocell/femtocell systems. In the study, the authors developed a utility function while prices for sharing the spectrum resource and proper transmit power of D2D transmitters were adjusted to optimize the utility obtained by BSs and D2D pairs.…”

Section: Literature Reviewmentioning

confidence: 99%

Game-Theoretic Resource Allocation Algorithms for Device-to-Device Communications in Fifth Generation Cellular Networks: A Review

Ogidiaka¹,

Ogwueleka²,

Irhebhude³

2021

IJIEEB

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Game-theoretic resource allocation algorithms are essential to managing the interference that Device-to-Device (D2D) and cellular transmissions could generate to each other in cellular networks since game-theoretic solutions are naturally autonomous and robust. In this paper, we present a survey on D2D communication in cellular networks with respect to the performance of the existing and accessible game-theoretic resource allocation algorithms published in 2013-2019. Each of the game-theoretic resource allocation algorithms with its properties such as utility, complexity, fairness, overhead cost, and convergence rate are reviewed and compared. The survey proved that gametheoretic solutions could be a viable strategy for practical implementation in 5G networks as each of the reviewed scheme attempts to optimize one or various essential performance metrics in the system. Finally, the paper recommends that serious efforts should be made by standardization bodies in incorporating game-theoretic strategy in D2D-enabled 5G networks while considering it as a road map for reliable and resource-efficient solutions in future cellular networks.

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Section: Literature Reviewmentioning

confidence: 99%

Game-Theoretic Resource Allocation Algorithms for Device-to-Device Communications in Fifth Generation Cellular Networks: A Review

Ogidiaka¹,

Ogwueleka²,

Irhebhude³

2021

IJIEEB

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“…The interference caused by DUEs to the macro and femto cells is handled through Stackelberg game in [38]. UEs of the macro and femto cells are taken as leaders and DUEs as the followers.…”

Section: B Interference Mitigation Through Power Control and Rrmmentioning

confidence: 99%

A Survey of Conventional and Artificial Intelligence / Learning based Resource Allocation and Interference Mitigation Schemes in D2D Enabled Networks

Zia¹,

Javed²,

Sial³

et al. 2018

Preprint

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5th generation networks are envisioned to provide seamless and ubiquitous connection to 1000-fold more devices and is believed to provide ultra-low latency and higher data rates up to tens of Gbps. Different technologies enabling these requirements are being developed including mmWave communications, Massive MIMO and beamforming, Device to Device (D2D) communications and Heterogeneous Networks. D2D communication is a promising technology to enable applications requiring high bandwidth such as online streaming and online gaming etc. It can also provide ultra-low latencies required for applications like vehicle to vehicle communication for autonomous driving. D2D communication can provide higher data rates with high energy efficiency and spectral efficiency compared to conventional communication. The performance benefits of D2D communication can be best achieved when D2D users reuses the spectrum being utilized by the conventional cellular users. This spectrum sharing in a multi-tier heterogeneous network will introduce complex interference among D2D users and cellular users which needs to be resolved. Motivated by limited number of surveys for interference mitigation and resource allocation in D2D enabled heterogeneous networks, we have surveyed different conventional and artificial intelligence based interference mitigation and resource allocation schemes developed in recent years. Our contribution lies in the analysis of conventional interference mitigation techniques and their shortcomings. Finally, the strengths of AI based techniques are determined and open research challenges deduced from the recent research are presented.

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“…28 are handled in [124] [125]. The authors of [124] address the interference issue via joint resource allocation and power adjustment of the DUEs.…”

Section: Small Cellsmentioning

confidence: 99%

“…Then, the D2D pairs autonomously perform radio resource management by allocation of only those RBs which guarantee reliable D2D transmission, and interference to either the eNBs or the HeNBs is avoided. The paper [125] deals with interference caused by the D2D communication to the eNB and HeNBs by means of a Stackelberg game. In the scheduling process, the UEs of the eNB and HeNBs are assumed to be the leaders, and the DUEs the followers.…”

Section: Small Cellsmentioning

confidence: 99%

In-Band Device-to-Device Communication in OFDMA Cellular Networks: A Survey and Challenges

Mach

Bečvář

Vaněk

2015

IEEE Commun. Surv. Tutorials

289

134

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Direct communication between two or more devices without the intervention of a base station, known as device-todevice (D2D) communication, is a promising way to improve performance of cellular networks in terms of spectral and energy efficiency. The D2D communication paradigm has been largely exploited in non-cellular technologies such as Bluetooth or Wi-Fi but it has not yet been fully incorporated into existing cellular networks. In this regard, a new proposal focusing on the integration of D2D communication into LTE-A has been recently approved by the 3GPP standardization community as discussed in this paper. In cellular networks, D2D communication introduces several critical issues, such as interference management and decisions on whether devices should communicate directly or not. In this survey, we provide a thorough overview of the state of the art focusing on D2D communication, especially within 3GPP LTE/LTE-A. First, we provide in-depth classification of papers looking at D2D from several perspectives. Then, papers addressing all major problems and areas related to D2D are presented and approaches proposed in the papers are compared according to selected criteria. On the basis of the surveyed papers, we highlight areas not satisfactorily addressed so far and outline major challenges for future work regarding efficient integration of D2D in cellular networks.Index Terms-D2D communication, D2D mode selection, interference management, D2D energy efficiency, advanced topology for D2D1553-877X (c) Fig. 2. Classification of D2D communication in cellular networks.tion underlying LTE-A network and shown how the D2D communication can be established within a system architecture evolution (SAE). The study introduces an exchange of messages to support the D2D functionality within the SAE and contemplates the possible limits of the D2D concerning interference issues both in the downlink (DL) and the uplink (UL) transmission directions. The paper also presents feasibility analysis evaluating performance of network with enabled D2D communication. Functional prospects of the D2D communication and its implementation into LTE-A system are tackled in [29]. The paper describes new features necessary to be added into the SAE architecture in order to support the D2D communication: radio identification and bearer setup, means to exchange the information over a D2D connection and interference management, link adaptation, timing, and mobility issues. Design aspects of network assisted D2D communication is addressed in [30]. The paper firstly provides a brief overview on technical challenges posed by enabling of D2D concept in cellular networks and provides the solutions for individual challenges.An option of architectural modification in LTE-A networks for D2D is also proposed in [31]. The authors introduce new network entity, called a D2D server (in Fig. 1, this server is not depicted to keep clarity of the figure), and necessary interfaces to connect it to the existing LTE-A architecture. The D2D server is located within the E...

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Resource Management for Device-to-Device Communications in Heterogeneous Networks Using Stackelberg Game

Cited by 19 publications

References 17 publications

Game-Theoretic Resource Allocation Algorithms for Device-to-Device Communications in Fifth Generation Cellular Networks: A Review

Game-Theoretic Resource Allocation Algorithms for Device-to-Device Communications in Fifth Generation Cellular Networks: A Review

A Survey of Conventional and Artificial Intelligence / Learning based Resource Allocation and Interference Mitigation Schemes in D2D Enabled Networks

In-Band Device-to-Device Communication in OFDMA Cellular Networks: A Survey and Challenges

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