Incomplete CSI Based Resource Optimization in SWIPT Enabled Heterogeneous Networks: A Non-Cooperative Game Theoretic Approach

Zhang, Haijun; Du, Jianhe; Cheng, Julian; Long, Keping; Leung, Victor C. M.

doi:10.1109/twc.2017.2786255

Cited by 77 publications

(38 citation statements)

References 30 publications

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“…This is attributed to its potential capability of effectively transmitting information and power at the same time if the trade-off between information decoding and energy harvesting can be cleverly overcome. Some prior works on SWIPT in large-scale wireless networks (typically see [18]- [23]) had already studied the popular performance metrics, such as coverage/outage probability, downlink rate, average received energy and energy efficiency. For instance, reference [18] analyzed the outage probability performance and the averaged harvested energy for a power-splitting receiver in a wireless ad hoc network using non-cooperative and cooperative relaying protocols, whereas it did not study how transmission scheduling and relay selection impact the outage and energy-harvesting performances.…”

Section: A Prior Work and Motivationmentioning

confidence: 99%

Fundamentals of Simultaneous Wireless Information and Power Transmission in Heterogeneous Networks: A Cell-Load Perspective

Liu

Hsu

2019

IEEE J. Select. Areas Commun.

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In a heterogeneous cellular network (HetNet) consisting of multiple different types (tiers) of base stations (BSs), the void cell event in which a BS does not have any users has been shown to exist due to user-centric BS association and its probability is dominated by the cell load of each tier. Such a void cell phenomenon has not been well characterized in the modeling and analytical framework of simultaneous wireless information and power transmission (SWIPT) in a HetNet. This paper aims to accurately exploit the fundamental performance limits of the SWIPT between a BS and its user by modeling the cell-load impact on the downlink and uplink transmissions of each BS. We first characterize the power-splitting receiver architecture at a user and analyze the statistical properties and limits of its harvested power and energy, which reveals how much of the average energy can be harvested by users and how likely the selfpowered sustainability of users can be achieved. We then derive the downlink and uplink rates that characterize the cell-load and user association effects and use them to define the energy efficiency of a user. The optimality of the energy efficiency is investigated, which maximizes the SWIPT performance of the receiver architecture for different user association and network deployment scenarios.Index Terms-Wireless information and power transmission, energy harvesting, heterogeneous network, energy efficiency, stochastic geometry.

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Section: A Prior Work and Motivationmentioning

confidence: 99%

Fundamentals of Simultaneous Wireless Information and Power Transmission in Heterogeneous Networks: A Cell-Load Perspective

Liu

Hsu

2019

IEEE J. Select. Areas Commun.

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“…However, due to the sufficient conventional electricity generation, the power distribution problem of the retailers that generate RESs is not considered to cognitive small BSs. On the other hand, the authors of [21] proposed a non-cooperation game based power allocation mechanism for energy harvesting enabled small BSs. Nevertheless, these small BSs connecting to the power grid are considered.…”

Section: Related Workmentioning

confidence: 99%

A Stackelberg Game Approach for Energy Outage-Aware Power Distribution of an Off-Grid Base Station over Multiple Retailers

2018

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This paper investigates the problem of power distribution for an off-grid base station (BS) that operates sustainably without an electrical grid. We consider that multiple retailers with heterogeneous renewable energy sources (RESs) compete to maximize their revenues by individually setting the unit power price. Energy outages (EOs), which cause the power supply to fall below that which is sufficient for ensuring the traffic arrival rate required for the off-grid BS, critically affect the users' service quality. To minimize EOs and operational expenditure (OPEX), the off-grid BS manages the power supply by reacting to the retailers' pricing decisions. We analyze the economic benefits of power distribution to the off-grid BS from the perspective of the retailers' pricing competition, by designing a hierarchical decision-making scheme as a multi-leader single-follower Stackelberg game. We derive a closed form expression for the optimal behavior of the off-grid BS and retailers, based on well-designed utility functions. Finally, numerical results demonstrate the proposed solution with its practical convergence time.

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“…On the other hand, dense deployment increases interference power from all the other SBSs because of aggressive frequency reuse, which deteriorates the quality of service of mobile users . Therefore, interference evaluation is even more challenging in UDNs and heterogeneous UDNs (HUDNs) …”

Section: Introductionmentioning

confidence: 99%

“…[4][5][6] Therefore, interference evaluation is even more challenging in UDNs and heterogeneous UDNs (HUDNs). 7,8 In wireless networks, the statistic of signal-to-interference-plus-noise ratio (SINR) depends strongly on the geographical locations of the base stations (BSs), and these locations are usually unknown in standard design or even in a realistic network. [9][10][11][12] The appropriate network deployment model is needed to deal with the network interference problem.…”

Section: Introductionmentioning

confidence: 99%

Signal strength and spectral efficiency in heterogeneous ultradense networks

Liu

Zhang

Shi

2018

Trans Emerging Tel Tech

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To meet the rapid data growth requirements of mobile users, heterogeneous ultradense networks improve the spatial reuse efficiency of spectrum resources through the ultradense deployment of small base stations (SBSs) in a given area in the forthcoming fifth‐generation mobile communication networks. It has become one of research hotspots that solve this problem in the recent years. Using the stochastic geometry, the cumulative distribution function and the probability density function of distance from user to its kth closest SBS are derived in this paper. Furthermore, the means of received signal strength from the users' kth closest base station and the mean of signal‐to‐interference‐plus‐noise ratio are derived. The expression of the relationship between spectral efficiency and the density of the SBSs is presented. Finally, The results show that the signal‐to‐interference‐plus‐noise ratio is inversely proportional to the density of SBSs in the 1‐tier ultradense networks. In the 2‐tier heterogeneous ultradense networks, the spectral efficiency of the base station increases first and then decreases with the increasing of the density of SBSs. Moreover, allocating more spectrum resource to SBSs will increase the area spectral efficiency when the number of SBS is far more than the number of macro base stations.

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Incomplete CSI Based Resource Optimization in SWIPT Enabled Heterogeneous Networks: A Non-Cooperative Game Theoretic Approach

Cited by 77 publications

References 30 publications

Fundamentals of Simultaneous Wireless Information and Power Transmission in Heterogeneous Networks: A Cell-Load Perspective

Fundamentals of Simultaneous Wireless Information and Power Transmission in Heterogeneous Networks: A Cell-Load Perspective

A Stackelberg Game Approach for Energy Outage-Aware Power Distribution of an Off-Grid Base Station over Multiple Retailers

Signal strength and spectral efficiency in heterogeneous ultradense networks

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