Energy harvesting for secure OFDMA systems

Zhang, Meng; Liu, Yuan

doi:10.1109/wcsp.2014.6992200

Cited by 5 publications

(6 citation statements)

References 28 publications

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“…Some recently conventional techniques to provide the mentioned tradeoff have been considered such as power splitting [ 4 ], time switching [ 5 ], antenna selection [ 3 ], full/half duplexing [ 4 ] etc. However, among them, one of the promising ones is sub-carriering [ 6 , 7 , 8 , 9 , 10 , 11 , 12 ].…”

Section: Introductionmentioning

confidence: 99%

A Newly Secure Solution to MIMOME OFDM-Based SWIPT Frameworks: A Two-Stage Stackelberg Game for a Multi-User Strategy

Zamanipour¹

2018

Entropy

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Abstract:The paper technically proposes a newly secure scheme for simultaneous wireless power and information transfer (SWIPT) frameworks. We take into account an orthogonal frequency division multiplexing (OFDM)-based game which is in relation to a multi-input multi-output multi-antenna Eavesdropper (MIMOME) strategy. The transceiver is generally able to witness the case imperfect channel state information (ICSI) at the transmitter side. Transferring power and information are conducted via orthogonally provided sub-carriers. We propose a two-step Stackelberg game to optimise the Utility Functions of both power and information parts. The price for the first stage (in connection with information) is the total power of the other sub-carriers over which the energy is supported. In this stage, the sum secrecy rate should be essentially maximised. The second level of the proposed Stackelberg game is in association with the energy part. In this stage, the price essentially is the total power of the other sub-carriers over which the information is transferred. In this stage, additionally, the total power transferred is fundamentally maximised. Subsequently, the optimally and near-optimally mathematical solutions are derived, for some special cases such as ICSI one. Finally, the simulations validate our scheme as well, authenticating our contribution's tightness and efficiency.

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Section: Introductionmentioning

confidence: 99%

A Newly Secure Solution to MIMOME OFDM-Based SWIPT Frameworks: A Two-Stage Stackelberg Game for a Multi-User Strategy

Zamanipour¹

2018

Entropy

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“…However, despite these trends, security and privacy issues so far have been addressed mostly by neglecting lowpower design principles (except possibly for some attempts at limiting the computation and processing costs and/or the number of messages needed to implement a secure protocol). In particular, the impact of power allocation policies and of system features related to energy harvesting has only been studied in some special cases [9], [10]. Since green aspects will play an increasingly large role in future networks, it is essential to bring low-power, energy-constrained and green considerations into this picture.…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, [14] presents a resource allocation algorithm for achieving secrecy in a Multiple-Input Single-Output (MISO) energy harvesting communication system based on energy transfer. Also [10] considered the energy transfer mechanism and studied how to efficiently allocate the power over several sub-carriers in an EH system. [15] studied the secrecy capacity of a Gaussian wiretap channel with an amplitude constraint.…”

Section: Introductionmentioning

confidence: 99%

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Achievable Secrecy Rates of an Energy Harvesting Device with a Finite Battery

Biason

Khamesi

Laurenti

et al. 2015

2015 IEEE Global Communications Conference (GLOBECOM)

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In this paper, we investigate the achievable secrecy rates in an Energy Harvesting communication system composed of one transmitter and multiple receivers. In particular, because of the energy constraints and the channel conditions, it is important to understand when a device should transmit or not and how much power should be used. We introduce the Optimal Secrecy Policy in several scenarios. We show that, if the receivers demand high secrecy rates, then it is not always possible to satisfy all their requests. Thus, we introduce a scheme that chooses which receivers should be discarded. Also, we study how the system is influenced by the Channel State Information and, in particular, how the knowledge of the eavesdropper's channel changes the achievable rates

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“…Thus the proposal in [17] did not make full use of the spectrum efficiency and also do not consider different data rate requirements for multiple users. Additionally, in order to facilitate obtaining the optimal solutions, the authors in [18] maximized the sum harvested power in multiuser OFDMA networks without no participant of relay node and formulated a joint design problem of the subcarrier pairing allocation and EH parameters for PS scheme while satisfying the data rate requirement for differential services. However, the proposal in both [17] and [18] cannot be directly transplanted to relay networks due to their distinguished network topologies.…”

mentioning

confidence: 99%

r-RADAR: Obtain the Maximum Throughput When an Energy Harvesting Relay Node is Applied in Multiuser OFDMA Networks

Xue¹,

Liu²,

Wang³

et al. 2016

JCM

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The joint resource allocation for multiuser Orthogonal Frequency Division Multiple Access (OFDMA) relay networks is studied in the paper, where the relay node has renewable energy supplies and can be driven by energy collected from Radio Frequency (RF) signals from the source node. The relay node with green energy supplies uses Power Splitting (PS) scheme for Simultaneous of Wireless Information and Power Transfer (SWIPT). The joint resource allocation problem is formulated to maximize the throughput under several constraints including subcarrier pairing, power splitting ratio, power allocation, and subcarrier pairing allocation while satisfying data rate requirements for multiuser OFDMA relay networks. Due to the specialized problem is non-convex and difficult to be solved in finite polynomial time, a reconfigurable resource allocation by using the decoupling approach in a framework of repetitive (r-RADAR) algorithm with low computational complexity is proposed in the paper, which takes advantage of the unique problem structure and reduce the domain of search space. The global optimality is theoretically proven and well obtained when we using r-RADAR algorithm. Simulation results further validate the better performances of our proposed r-RADAR algorithm when it is compared to the other two related benchmark algorithms.

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Energy harvesting for secure OFDMA systems

Cited by 5 publications

References 28 publications

A Newly Secure Solution to MIMOME OFDM-Based SWIPT Frameworks: A Two-Stage Stackelberg Game for a Multi-User Strategy

A Newly Secure Solution to MIMOME OFDM-Based SWIPT Frameworks: A Two-Stage Stackelberg Game for a Multi-User Strategy

Achievable Secrecy Rates of an Energy Harvesting Device with a Finite Battery

r-RADAR: Obtain the Maximum Throughput When an Energy Harvesting Relay Node is Applied in Multiuser OFDMA Networks

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