Localizing Noncooperative Receiver Through Full-Duplex Amplify-and-Forward Relay

Jin, Chuanxue; Chang, Bo; Zhao, Guodong; Chen, Zhi; Shen, Yuan

doi:10.1109/access.2018.2877958

Cited by 2 publications

(3 citation statements)

References 30 publications

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“…[13][14][15][16] Conflicts of spectrum rights and the requirement among passive astronomy system and active wireless communication systems are prominently higher because of the remarkable growth of wireless communication. 17,18 Further, spectrum sharing and spectrum sensing in CR are reviewed and discussed. CR technology gives the path to the unrestricted users to do the spectrum bands.…”

Section: Discussionmentioning

confidence: 99%

“…The feasibility and potentials are the numerical and simulation results of the future dart system. Jin et al 18 proffered the receiver and the transmitter, which takes in many important circumstances. As an example, CR systems of interference system and user behavior learning were used in ad hoc wireless networks and based upon the localization network, gradually not known by the spectrum for the backward transmission of obtaining the locations of these nodes in frequency duplex systems.…”

Section: Related Workmentioning

confidence: 99%

“…CR system and its applications, existing limitations and their suitable methods, are reviewed in previous studies 13–16 . Conflicts of spectrum rights and the requirement among passive astronomy system and active wireless communication systems are prominently higher because of the remarkable growth of wireless communication 17,18 . Further, spectrum sharing and spectrum sensing in CR are reviewed and discussed.…”

Section: Related Workmentioning

confidence: 99%

See 2 more Smart Citations

Modified spider monkey optimization—An enhanced optimization of spectrum sharing in cognitive radio networks

Dinesh¹,

Venkatakrishnan²,

Jeyanthi

2020

Int J Communication

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Summary At present, the demand for wireless communications is growing tremendously. Cognitive radio network plays an important role in making the spectrum to be used effectively. Uncertainty in channels and interference were generally occurs that reduced the system efficiency. To overcome the load usage problem, the proposed system of spectrum sensing and scheduling algorithms is introduced, where the available spectrums are sensed or detected and scheduled to load the free spectrum. Spectrum sensing is a cognitive radio basic function to thwart the harmful interference with licensed users and detect the available spectrum for enhancing the spectrum's utilization. In the proposed technique, initially, the spectrum sharing and sensing method is put forward to raise the throughput and quality of service necessity. At this time, spectrum sharing in common with scheduling process is presented, where the available spectrum, the load is scheduled and sensed to free the spectrum. Here, the modified spider monkey optimization (MSMO) technique is used for spectrum sensing and detecting free spectrums, thereby enhancing the energy efficiency of the available spectrum. This technique will found the optimal solution and increases the expectation of some decisions. Modified round robin algorithm is used for scheduling load. In this algorithm, every packet flow has its packet queue presented in the network interface controller. The performance analysis is finally measured using metrics such as throughput, handoff, success probability, and false alarm probability.

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