Energy-Efficient Power Allocation with Guaranteed QoS Under Imperfect Sensing for OFDM-Based Heterogeneous Cognitive Radio Networks

Thangaraj, Cynthia Anbuselvi; Aruna, T.

doi:10.1007/s11277-019-06655-w

Cited by 4 publications

(7 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the recent decades, the wireless environment skilled an enormous development to enhance the spectrum usage in the communication model termed as Cognitive radio (CR) [1] [7] [8]. CR is the rising technology used to enhance the spectrum efficiency in data transmission.…”

Section: Introductionmentioning

confidence: 99%

“…In general, the primary user suggest the interference constraint factor to the secondary user, hence the secondary users are enclosed to forward the data under the constraint factors [2]. CR allows the secondary user to access the frequency spectrum wile it is not used by the primary user [1] [8] [9]. To increase the efficiency of spectrum sensing, the Multiple Input Multiple Output (MIMO) technique is used in the CR network [2].…”

Section: Introductionmentioning

confidence: 99%

“…To increase the efficiency of spectrum sensing, the Multiple Input Multiple Output (MIMO) technique is used in the CR network [2]. Spectrum sensing is a technique used to find the available spectrum and to eliminate the interference based on the primary user in order to increase the utilization of spectrum [1] [10] [11]. In the wireless scenario, to achieve the perfect sensing results a challenging issue.…”

Section: Introductionmentioning

confidence: 99%

“…In the wireless scenario, to achieve the perfect sensing results a challenging issue. Due to the uncertainty of wireless channel, interference, quantization error, and feedback delay the sensing error occurs in the wireless channel [1] [12] [13]. CR is implemented in the heterogeneous network named as HCRN, which helps to increase the spectrum efficiency in network [1].…”

Section: Introductionmentioning

confidence: 99%

“…Due to the uncertainty of wireless channel, interference, quantization error, and feedback delay the sensing error occurs in the wireless channel [1] [12] [13]. CR is implemented in the heterogeneous network named as HCRN, which helps to increase the spectrum efficiency in network [1]. Spectrum sensing is a part of CR network and several research works are performed based on the sensing technique of CR [2].…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Performance Improvement in MIMO-OFDM Systems based on adaptive Whale Elephant Herd Optimization algorithm

2019

IJEAT

View full text Add to dashboard Cite

Multiple-input, multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM) is the leading air interface for 4G and 5G broadband wireless communications. Cognitive Radio (CR) is the trending technology, which facilitates spectrum sensing to determine the inadequate bands in the spectrum. Though there are so many spectrum sensing techniques, the existing methods suffered a lot in the communication environment. In the traditional CR network, data transmission is constrained to the secondary user within the available bands. With the aim to increase spectrum efficiency and throughput, this paper proposed the hybrid mixture model using Adaptive Whale Elephant Herd Optimization (Adaptive WEHO) algorithm for spectrum sensing. Adaptive WEHO is the integration of Elephant-Herd Optimization (EHO), and Whale Optimization Algorithm (WOA), with the adaptive concept. The signal received from the OFDM antenna is used to analyze the availability of spectrum based on the signal energy and Eigen statistics. The CR searches the availability of channel and makes the connection when it determines a free channel. Here, the spectrum sensing is achieved by the Gaussian Mixture Model (GMM), which is trained by the proposed Adaptive WEHO algorithm. The proposed Adaptive WEHO algorithm uses the foraging behavior of whales and the herding behavior of elephants, which is applied in the spectrum sensing technique to perform the optimal sensing. The proposed Adaptive WEHO attained better performance with the metrics of probability of detection as 1.0238, and the probability of false alarm as 0.01075, respectively. The proposed method ensures the effective communication in CR without any interference.

show abstract

Section: Introductionmentioning

confidence: 99%