A Novel Utility Function for Energy-Efficient Power Control Game in Cognitive Radio Networks

Al-Gumaei, Yousef Ali; Noordin, Kamarul Ariffin; Reza, Ahmed Wasif; Dimyati, Kaharudin

doi:10.1371/journal.pone.0135137

Cited by 10 publications

(22 citation statements)

References 23 publications

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“…Many works pondered upon the power control problem by providing different pricing and utility functions. Hence, selected works to be compared with are EH-NPGP [ 15 ], R-NPGP [ 16 ], NPG-ESIA [ 17 ] and NPG-MSFLIA [ 18 ].…”

Section: System Model and Game Formulationmentioning

confidence: 99%

“…The efficiency of energy is recognized as a particular instance of utility function wherein it impacts physically; that is, the bits number magnificently obtained per joule of energy used. Each user adjusts the transmission power to attain the requisite SIR which is indirectly described in the utility function; rather it is dependent on the function for asserted efficiency [ 15 ]. However, Authors in [ 15 ] develop an approach for distributed power control in CRN based on utility-pricing technique.…”

Section: Introductionmentioning

confidence: 99%

“…Each user adjusts the transmission power to attain the requisite SIR which is indirectly described in the utility function; rather it is dependent on the function for asserted efficiency [ 15 ]. However, Authors in [ 15 ] develop an approach for distributed power control in CRN based on utility-pricing technique. The utility function is chosen as a QoS of CR user based on pricing technique and a distributed power control algorithm is developed as a non-cooperative game in which users maximize their net utility.…”

Section: Introductionmentioning

confidence: 99%

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Green communication for cognitive radio networks based on game and utility-pricing theories

et al. 2020

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The most crucial challenge in the functioning of the wireless networks is the efficient utilization of radio resources. A significant element of resource handling is power regulation. With increasing requirement of wireless data transmission services, it is essential to devise energy harvesting techniques for mobile devices. In this research, a new methodology has been proposed for distributed power regulation in cognitive radio, networks of CR are grounded on non-cooperation game phenomenon and pricing technique. QoS (Quality of service) of the user of CR is anticipated as a beneficial activity through pricing as well as dissemination of energy generating as an unbeneficial game wherein the consumers increase their overall efficacy. The price is defined as an actual function of transmission power to upraise the pricing of the most distant consumers. The proposed mathematical model shows that the proposed game model has a Nash equilibrium and is also unique. Furthermore, in order to make the proposed algorithm valid for green communication within the wireless network, the best response technique was proposed. Finally, simulation results showed that the proposed energy harvesting technique, grounded on a unique function of the utilization, reduces the consumption of transmission power and greatly improves the convergence speed; which are suitable for the vision of the 5G networks.

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Section: System Model and Game Formulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Green communication for cognitive radio networks based on game and utility-pricing theories

et al. 2020

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“…To address such issues, appropriate power control algorithms are needed in both D2D and cellular user devices. In addition, a power control algorithm is necessary for energy efficiency and to increase the battery life of devices [7]. This can be done by ensuring that the most efficient strategy is implemented by selecting the minimum power level that achieves the desired QoS requirement.…”

Section: Introductionmentioning

confidence: 99%

Non-Cooperative Power Control Game in D2D Underlying Networks with Variant System Conditions

et al. 2019

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In this paper, the problem of power control using a game theoretic approach based on sigmoid cost function is studied for device-to-device (D2D) communications underlying cellular networks. A non-cooperative game, where each D2D transmitter and a cellular user select their own transmit power level independently, is analyzed to minimize their user-serving cost function and achieve a target signal to interference-plus-noise-ratio (SINR) requirement. It is proved analytically that the Nash equilibrium point of the game exists and it is unique under certain constraints. Numerical results verify the analysis and demonstrate the effectiveness of the proposed game with variant system conditions, such as path loss exponents, target SINR, interference caused by the cellular user, pricing coefficients, and sigmoid control parameter.

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“…The interference temperature is defined as a certain tolerable interference level at the primary receiver such as the PBS for uplink [5]. It is critical to protect the successful transmission of PUs by restricting the interference temperature caused by the secondary system [6–9]. …”

Section: Introductionmentioning

confidence: 99%

Non-Orthogonal Random Access in MIMO Cognitive Radio Networks: Beamforming, Power Allocation, and Opportunistic Transmission

Lin¹,

Shin²

2017

PLoS ONE

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We study secondary random access in multi-input multi-output cognitive radio networks, where a slotted ALOHA-type protocol and successive interference cancellation are used. We first introduce three types of transmit beamforming performed by secondary users, where multiple antennas are used to suppress the interference at the primary base station and/or to increase the received signal power at the secondary base station. Then, we show a simple decentralized power allocation along with the equivalent single-antenna conversion. To exploit the multiuser diversity gain, an opportunistic transmission protocol is proposed, where the secondary users generating less interference are opportunistically selected, resulting in a further reduction of the interference temperature. The proposed methods are validated via computer simulations. Numerical results show that increasing the number of transmit antennas can greatly reduce the interference temperature, while increasing the number of receive antennas leads to a reduction of the total transmit power. Optimal parameter values of the opportunistic transmission protocol are examined according to three types of beamforming and different antenna configurations, in terms of maximizing the cognitive transmission capacity. All the beamforming, decentralized power allocation, and opportunistic transmission protocol are performed by the secondary users in a decentralized manner, thus resulting in an easy implementation in practice.

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A Novel Utility Function for Energy-Efficient Power Control Game in Cognitive Radio Networks

Cited by 10 publications

References 23 publications

Green communication for cognitive radio networks based on game and utility-pricing theories

Green communication for cognitive radio networks based on game and utility-pricing theories

Non-Cooperative Power Control Game in D2D Underlying Networks with Variant System Conditions

Non-Orthogonal Random Access in MIMO Cognitive Radio Networks: Beamforming, Power Allocation, and Opportunistic Transmission

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