Energy-efficient resource allocation in cognitive D2D communications: A game-theoretical and matching approach

Zhou, Zhenyu; Ma, Guifang; Xu, Chen; Chang, Zheng; Ristaniemi, Tapani

doi:10.1109/icc.2016.7510792

Cited by 17 publications

(8 citation statements)

References 20 publications

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“…D2D communication can use various air interfaces (in-band underlay D2D, in-band overlay D2D, networkassisted out-band D2D, and autonomous out-band D2D). In-band underlay means D2D networks and cellular networks use the same licensed spectrum [19], [20]. In-band overlay means D2D networks and cellular networks use different licensed frequencies, which means that Mobile Network Operators (MNOs) need to allocate dedicated frequencies for D2D communication.…”

Section: Related Workmentioning

confidence: 99%

Proximity as a Service for the Use Case of Access Enhancement Via Cellular Network-Assisted Mobile Device-to-Device

Guo

Schormans

et al. 2020

IEEE Access

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Device-to-Device (D2D) communication is a way to treat the User Equipments (UEs) not as terminals, but as a part of the network (helpers) for service provisioning. We propose a generic framework, namely Proximity as a Service (PaaS), formulate the helper selection problem, and design and prove a heuristic helper selection policy, ContAct based Proximity (CAP), which increases the service connectivity and continuity. Design Of Experiment (DOE) is a statistical methodology that rigorously designs and conducts an experiment, and maximizes the information obtained from that experiment. We apply DOE to explore the relationship (analytic expression) between four inputs (factors) and four metrics (responses). Since different factors have different regression levels, a unified four level full factorial experiment and cubic multiple regression analysis have been carried out. Multiple regression equations are provided to estimate the different contributions and the interactions between factors. Results show that transmission range and user density are dominant and monotonically increasing, but transmission range should be restricted because of interference and energy-efficiency. After obtaining the explicit close form expressions between factors and responses, optimal values of key factors are derived. A methodology (the-constraint method) to solve the multiple-objective optimization problem has been provided and a Pareto-Optimal set of factors has been found through iteration. The fluctuation of the iterations is small and a specific solution can be chosen based on the particular scenarios (city center or countryside with different user density). The methodology of optimization informs the design rules of the operator, helping to find the optimal networking solution.

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Section: Related Workmentioning

confidence: 99%

Proximity as a Service for the Use Case of Access Enhancement Via Cellular Network-Assisted Mobile Device-to-Device

Guo

Schormans

et al. 2020

IEEE Access

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“…From the literature survey, it is found that, only a few efforts [7,[27][28][29][30] have been incorporated D2D communication with CR technology to jointly maximise the spectrum efficiency and EE. Very few efforts [3,31] have been observed in the literature addressing only the EE. Zappone et al [3] have developed energy-efficient resource allocation algorithms for both underlay and overlay communications, in the presence of coexisting multiple-input single-output primary link with a multiple-input multiple-output secondary link.…”

Section: Related Work and Motivationmentioning

confidence: 99%

“…The authors of this paper have solved the resource allocation problem by minimising the SU's energy usage subject to a minimum rate requirement of the PU and solved it by fractional programming. In [31], the energy optimisation problem for cognitive D2D communications has been investigated considering mutual preferences and satisfactions of users and proposed an EE stable matching algorithm based on game and matching theories. Motivated by the above described background, this paper investigates the energy-efficient power allocation problem of coexisting D2D and cellular users considering both underlay and overlay CR approaches.…”

Section: Related Work and Motivationmentioning

confidence: 99%

Energy‐efficient power allocation in underlay and overlay cognitive device‐to‐device communications

2019

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“…The authors in [37,38] adopt a game-theoretic approach to model the distributed power allocation problem as a non-cooperative game and derive an iterative algorithm based on nonlinear fractional programming and Lagrange dual decomposition. The literature [39] considers mutual preferences and satisfactions of UEs and thus proposes a game-based stable matching algorithm, where a D2D pair (or a cellular UE)'s preference over a cellular UE (or a D2D pair) is modeled as a maximum energy-efficient problem and a game-theoretic approach is used to solve it.…”

Section: Related Workmentioning

confidence: 99%

“…However, the literatures [37][38][39] address the problem formulation from the perspective of resource allocation, while we do it from the perspective of throughput optimization. Moreover, they use the ordinary non-cooperative game theory rather than the special potential game theory.…”

Section: Related Workmentioning

confidence: 99%

Cellular throughput optimization by game-based power adjustment and outband D2D communication

Gui

Zhou

2018

J Wireless Com Network

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Device-to-device (D2D) communication is a promising option for the fifth generation (5G) mobile communication network to reduce energy consumption and increase throughput, which makes high throughput applications possible. Also, the improvement for energy and spectrum efficiency is critical in such applications. Without occupation of cellular spectrum resources, outband D2D communication is increasingly applied to high throughput applications to increase spectrum supply. However, energy efficiency is still a key issue that needs to be addressed. Moreover, the overall energy efficiency in cellular networks is severely limited by cell-edge devices. Therefore, in this paper, we apply multi-hop relay-aided outband D2D communication to cellular networks and propose a game-based power adjustment method to address throughput optimization problem. Firstly, we model an interaction relationship of power adjustment for each transmission path as a potential game, where a new utility function is designed for each player (i.e., the receiving end of a transmission path) to evaluate its action gain and to determine whether taking action or not. And then, it is proved that the utility function is an ordinal potential function (OPF) and the game of power adjustment is an ordinal potential game (OPG), which guarantees the convergence of game decision process. Moreover, we propose a new game decision algorithm, which has quicker convergence speed than the existing typical algorithm. In addition, we design a networkassisted distributed processing architecture for solving throughput optimization problem, including receiving mode selection, verification for relay selection, and transmission power adjustment, which can ease the burden of centralized processing. The experimental results show that our scheme is superior to the existing typical work in terms of throughput, delay, energy efficiency, continuous service ability, and convergence performance.

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Energy-efficient resource allocation in cognitive D2D communications: A game-theoretical and matching approach

Cited by 17 publications

References 20 publications

Proximity as a Service for the Use Case of Access Enhancement Via Cellular Network-Assisted Mobile Device-to-Device

Proximity as a Service for the Use Case of Access Enhancement Via Cellular Network-Assisted Mobile Device-to-Device

Energy‐efficient power allocation in underlay and overlay cognitive device‐to‐device communications

Cellular throughput optimization by game-based power adjustment and outband D2D communication

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