scholarly journals Multiband Spectrum Sensing and Power Allocation for aCognitive Radio-Enabled Smart Grid

Sensors ◽  
2021 ◽  
Vol 21 (24) ◽  
pp. 8384
Author(s):  
Jun Wang ◽  
Weibin Jiang ◽  
Hongjun Wang ◽  
Yanwei Huang ◽  
Riqing Chen ◽  
...  
Keyword(s):  
Smart Grid ◽  
Power Allocation ◽  
Communication Technologies ◽  
Optimization Techniques ◽  
Secondary Users ◽  
Key Technology ◽  
Optimal Power ◽  
Detection Probabilities ◽  
Sensing Time

As part of an Internet of Things (IoT) framework, the Smart Grid (SG) relies on advanced communication technologies for efficient energy management and utilization. Cognitive Radio (CR), which allows Secondary Users (SUs) to opportunistically access and use the spectrum bands owned by Primary Users (PUs), is regarded as the key technology of the next-generation wireless communication. With the assistance of CR technology, the quality of communication in the SG could be improved. In this paper, based on a hybrid CR-enabled SG communication network, a new system architecture for multiband-CR-enabled SG communication is proposed. Then, some optimization mathematical models are also proposed to jointly find the optimal sensing time and the optimal power allocation strategy. By using convex optimization techniques, several optimal methods are proposed to maximize the data rate of multiband-CR-enabled SG while considering the minimum detection probabilities to the active PUs. Finally, simulations are presented to show the validity of the proposed methods.

scholarly journals Optimal Energy-Efficient Sensing and Power Allocation in Cognitive Radio Networks

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Xia Wu ◽  
Jin-Ling Xu ◽  
Ming Chen ◽  
Junbo Wang
Keyword(s):  
Energy Efficiency ◽  
Cognitive Radio ◽  
Power Allocation ◽  
Energy Efficient ◽  
Primary User ◽  
Joint Optimization ◽  
Secondary Users ◽  
Function Of Two Variables ◽  
Sensing Time

We consider a joint optimization of sensing parameter and power allocation for an energy-efficient cognitive radio network (CRN) in which the primary user (PU) is protected. The optimization problem to maximize the energy efficiency of CRN is formulated as a function of two variables, which are sensing time and transmit power, subject to the average interference power to the PU and the target detection probability. During the optimizing process, the quality of service parameter (the minimum rate acceptable to secondary users (SUs)) has also been taken into consideration. The optimal solutions are analyzed and an algorithm combined with fractional programming that maximizes the energy efficiency for CRN is presented. Numerical results show that the performance improvement is achieved by the joint optimization of sensing time and power allocation.

scholarly journals Optimal Power Allocation for a Relaying-Based Cognitive Radio Network in a Smart Grid

Energies ◽  
2017 ◽  
Vol 10 (7) ◽  
pp. 909 ◽  
Author(s):  
Kai Ma ◽  
Xuemei Liu ◽  
Jie Yang ◽  
Zhixin Liu ◽  
Yazhou Yuan
Keyword(s):  
Cognitive Radio ◽  
Smart Grid ◽  
Power Allocation ◽  
Cognitive Radio Network ◽  
Optimal Power Allocation ◽  
Radio Network ◽  
Optimal Power

scholarly journals Full-Duplex Relay for Millimeter Wave Vehicular Platoon Communications

Sensors ◽  
2020 ◽  
Vol 20 (21) ◽  
pp. 6072
Author(s):  
Jong-Ho Lee ◽  
Jiho Song
Keyword(s):  
Power Allocation ◽  
Millimeter Wave ◽  
Full Duplex ◽  
Vehicular Communications ◽  
Power Constraint ◽  
Closed Form Solutions ◽  
Optimal Power ◽  
Vehicle Platoon ◽  
Lead Vehicle

The safety and consistency of platoon-based driving are guaranteed via reliable communication between vehicles in a platoon. In this paper, we propose to exploit a full-duplex (FD) relay vehicle for millimeter-wave vehicular communications in platoon-based driving. Considering that a lead vehicle broadcasts information to all vehicles in a platoon, we consider two power allocation problems—maximizing broadcast information rates with a power constraint and minimizing power consumption with a quality-of-service constraint. In particular, for a four-vehicle platoon communication, we derive closed-form solutions for optimal power allocation and present numerical results to verify the performance of the proposed FD relay vehicles.

scholarly journals Throughput maximization-based optimal power allocation for energy-harvesting cognitive radio networks with multiusers

2018 ◽  
Vol 2018 (1) ◽  
Author(s):  
Yuanyi Wang ◽  
Xiaohui Zhao ◽  
Hui Liang
Keyword(s):  
Cognitive Radio ◽  
Energy Harvesting ◽  
Power Allocation ◽  
Cognitive Radio Networks ◽  
Radio Networks ◽  
Throughput Maximization ◽  
Time Interval ◽  
Optimal Power Allocation ◽  
Optimal Power

AbstractAn optimal power allocation (OPA) policy for orthogonal frequency division multiplexing (OFDM)-based cognitive radio networks (CRNs) using underlay spectrum access model is presented under multiple secondary users (SUs) with energy harvesting (EH). The proposed algorithm can allocate transmission power to each SU on each subcarrier with the objective of maximizing the average throughput of secondary network over a finite time interval. We consider both the interference power constraint limited by primary user (PU) and the minimum throughput constraint of each SU to improve the throughput of SUs while guaranteeing the communication quality of PU. To balance current throughput and expected future throughput, a dynamic programming (DP) problem is defined and solved by the backward induction method. Moreover, for each time slot, a convex immediate optimization is presented to obtain an optimal solution, which can be solved by the Lagrange dual method. Simulation results show that our policy can achieve better performance than some traditional policies and ensure good quality of service (QoS) of PU when SUs access the spectrum.

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