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Joint Power Coordination for Spectral-and-Energy Efficiency in Heterogeneous Small Cell Networks: A Bargaining Game-Theoretic Perspective

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TLDR
A novel bargaining cooperative game (BCG) framework for energy efficient and interference-aware power coordination in a dense small cell network is proposed and a new adjustable utility function is employed in the BCG framework to jointly address both the spectral efficiency and energy efficiency issues.
Abstract
Extensive deployment of small cells in heterogenous cellular networks introduces both challenges and opportunities. Challenges come with the reuse of the limited frequency resource for improving spectral efficiency, which always introduces serious mutual inter- and intracell interference between or among small cells and macrocells. The opportunities refer to more potential chances of inter- and intratier cooperations among small cells and macrocells. Energy efficiency will be a critical performance requirement for future green communications, especially when small cells are densely deployed to enhance the quality of user’s experience. We exploit the potential cooperation diversities to combat the interference and energy management challenges. To capture the complicated interference interaction and also the possible coordination behavior among small cells and macrocells, this paper proposes a novel bargaining cooperative game (BCG) framework for energy efficient and interference-aware power coordination in a dense small cell network. In particular, a new adjustable utility function is employed in the BCG framework to jointly address both the spectral efficiency and energy efficiency issues. Using the BCG framework, we then derive the closed-form power coordination solutions and further propose a joint interference-aware power coordination scheme (Joint) with the considerations of both interference mitigation and energy saving. Moreover, a simplified algorithm (Simplified) is presented to combat the heavy signaling overhead, which is one of the significant challenges in the scenario of extensive deployment of small cells. Finally, numerical results are provided to illustrate the effectiveness of the proposed Joint and Simplified schemes.

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Citations
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A Survey on Big Data Market: Pricing, Trading and Protection

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Bargaining-based cooperative energy trading for distribution company and demand response

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Interference-Aware Energy Efficiency Maximization in 5G Ultra-Dense Networks

TL;DR: This paper characterize the cooperative behaviors in the Nash bargaining cooperative game-theoretic framework, and proposes a CE2MG algorithm that achieves the closed-form sub-optimal SE equilibria to maximize the EE performance with and without the minimum SE constraints.
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Vehicle Assisted Computing Offloading for Unmanned Aerial Vehicles in Smart City

TL;DR: In this article, a vehicle assisted computing offloading architecture for UAVs is proposed to improve offloading efficiency by harnessing the moving vehicles in smart city, where the transaction process of computing data between UAV and vehicles is modeled as a bargaining game.
Journal ArticleDOI

Joint Power and Bandwidth Allocation for Energy-Efficient Heterogeneous Cellular Networks

TL;DR: This paper proposes a joint power and bandwidth allocation (JPBA) scheme for the sake of maximizing the energy efficiency of small cells under the constraint of a guaranteed quality-of-service requirement for the macro cell, and presents a new two-tier iterative algorithm to obtain the optimal solution.
References
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Journal ArticleDOI

Femtocell networks: a survey

TL;DR: The technical and business arguments for femtocells are overview and the state of the art on each front is described and the technical challenges facing femtocell networks are described and some preliminary ideas for how to overcome them are given.
Journal ArticleDOI

Efficient power control via pricing in wireless data networks

TL;DR: This work introduces pricing of transmit powers in order to obtain Pareto improvement of the noncooperative power control game, i.e., to obtain improvements in user utilities relative to the case with no pricing.
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Network densification: the dominant theme for wireless evolution into 5G

TL;DR: This article explores network densification as the key mechanism for wireless evolution over the next decade if it is complemented by backhaul densification, and advanced receivers capable of interference cancellation.
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Heterogeneous cellular networks: From theory to practice

TL;DR: New theoretical models for understanding the heterogeneous cellular networks of tomorrow are discussed, and the practical constraints and challenges that operators must tackle in order for these networks to reach their potential are discussed.
Journal ArticleDOI

OFDMA femtocells: A roadmap on interference avoidance

TL;DR: In this article a coverage and interference analysis based on a realistic OFDMA macro/femtocell scenario is provided, as well as some guidelines on how the spectrum allocation and interference mitigation problems can be approached in these networks.
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