Optimal energy-efficient transmission for hybrid spectrum sharing in cooperative cognitive radio networks

Hu, Lei; Shi, Rui; Mao, Minghe; Chen, Zhiyu; Zhou, Hongxi; Li, Weiliang

doi:10.23919/jcc.2019.06.012

Cited by 18 publications

(16 citation statements)

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“…Then, we change the power variables to energy variables (11) and find the optimal relay set S r by solving (13). Finally, we can reformulate problem (5) as an energy and time allocation problem as in problem (17). R i , in the objective function of (17), is reformulated in (18).…”

Section: A Proportional Fairnessmentioning

confidence: 99%

“…Then, we assume x i ,y i , and z i are constant in (17) and update energy and time variables in a convex optimization problem in an arbitrary manner.…”

Section: A Proportional Fairnessmentioning

confidence: 99%

“…In the third paradigm known as overlay, SU cooperates with PU and in exchange, PU allows SU to utilize the channel [13], [14]. In the literature, hybrid access schemes are also suggested to achieve a higher spectrum efficiency level [15]- [17].…”

Section: Introductionmentioning

confidence: 99%

“…A great deal of works has been devoted to improving energy-efficiency. An energy-efficient resource allocation framework is presented in [17], which investigates the joint design of cooperative spectrum sensing time and the power control optimization problem for the secondary user systems. A tradeoff between energy and spectrum efficiency is presented in [25].…”

Section: Introductionmentioning

confidence: 99%

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Fair Resource Allocation in Cooperative Cognitive Radio Iot Networks

2020

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Due to the growing demand for spectral resources with the emergence of IoT networks and applications, cooperative cognitive radio IoT networks (CCR-IoTN) are expected to play an essential role in the world of smart technology. In this paradigm, the benefits of cooperative communication and cognitive radio networks (CRN) are merged to meet IoT networks' needs. In this work, we employ the hybrid overlayunderlay CRN to guarantee both the secondary user (SU) stability and provide acceptable total throughput. In our CCR-IoTN, SUs may act as a relay to help the primary transmission. If the primary user (PU) is active, the secondary non-relay nodes transmit concurrently with the PU in underlay mode. In return for their cooperation, SUs are allowed to access the spectrum to transmit their data in overlay mode. In this context, we propose several fair resource allocation frameworks and compare well-known problems such as spectrum efficiency, energy efficiency as an objective function for CCR-IoTN. This kind of problem is inherently nonconvex. To solve the problems, therefore, we reformulate them as a convex problem using quadratic transform. Finally, we use simulation to evaluate the performance of the proposed hybrid resource allocation method. The resource allocation framework based on proportional fairness policy is shown to have acceptable performance in terms of throughput, fairness, and energy efficiency.

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Section: A Proportional Fairnessmentioning

confidence: 99%

“…Then, we assume x i ,y i , and z i are constant in (17) and update energy and time variables in a convex optimization problem in an arbitrary manner.…”

Section: A Proportional Fairnessmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Fair Resource Allocation in Cooperative Cognitive Radio Iot Networks

2020

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“…Finally, the hierarchical access model also involves two approaches: spectrum overlapping [14] and subjacent spectrum [15]. The first one is focused in the transmission power of the secondary user to cause less interference to licensed users.…”

Section: Dynamic Spectrum Access (Dsa)mentioning

confidence: 99%

Spectrum sharing in cognitive radio networks

Martínez

Hernández

Martínez

2020

IJECE

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Cognitive radio networks are the next step to tackle scarcity in wireless networks given the increasing demand of radioelectric spectrum where the proposed solution is to share said resource to improve this situation. In the present article, a review of the current state of spectrum sharing in cognitive radio networks. To achieve this purpose, the articles published over the last 4 years on the matter were reviewed including topics such as mobile networks and TV. Some studies and simulations proposed to share the spectrum is shown. The current state of the studies reveals that there has been significant progress in this research area yet it is necessary to continue similar studies and set in motion different schemes.

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