A Generalized Bit Error Rate Evaluation for Index Modulation Based OFDM System

Abdullahi, Mahmoud; Cao, Aijun; Zafar, Adnan; Xiao, Pei; Hemadeh, Ibrahim A.

doi:10.1109/access.2020.2972113

Cited by 10 publications

(4 citation statements)

References 42 publications

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“…e evaluation index proposed in this research is frequency statistics [31][32][33][34][35]. e evaluation process is that in the iterative process, if the Hamming distance between the output of the network and a memory vector is 0 (or close to 0) frequently, it can be considered that the memory vector is successfully identified.…”

Section: Experimental Results and Analysismentioning

confidence: 99%

[Retracted] Intelligent Simulation of Children’s Psychological Path Selection Based on Chaotic Neural Network Algorithm

Wang

2021

Computational Intelligence and Neuroscience

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In recent years, there are many problems in the study of intelligent simulation of children’s psychological path selection, among which the main problem is to ignore the factors of children’s psychological path selection. Based on this, this paper studies the application of chaotic neural network algorithm in children’s mental path selection. First, an intelligent simulation model for children’s mental path selection based on chaotic neural network algorithm is established; second, it will combine the network based on different types of visual analysis strategies. The model is used to analyze the influencing factors of children in different regions in the choice of psychological paths. Finally, experiments are designed to verify the actual application effect of the simulation model. The results show that compared with the current mainstream intelligent simulation methods with iterative loop algorithms as the core, it adopts the intelligent simulation model based on the chaotic neural network algorithm has a good classification effect. It can effectively select the optimal psychological path according to the differences in children’s personality and can adaptively classify children in different regions, and the experimental results are accurate. Compared with the traditional method, it is improved by at least 37%.

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Section: Experimental Results and Analysismentioning

confidence: 99%

[Retracted] Intelligent Simulation of Children’s Psychological Path Selection Based on Chaotic Neural Network Algorithm

Wang

2021

Computational Intelligence and Neuroscience

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“…Authors in [29] with the help of simulation results showed that IM-SVC can provide much better BER performance compared to the algorithm based SVC. The BER upper bound is derived analytically for orthogonal frequency division multiplexing (OFDM) with index modulation (OFDM-IM) in [30] and maximum likelihood (ML) detection OFDM-IM in [31], respectively. Although non-iterative neural network decoder (NND) is also very popular in URLL networks, it has an unsatisfactory BER performance.…”

Section: A Related Workmentioning

confidence: 99%

Allied Power Constraint Optimization and Optimal Beam Tracking Schemes for Mobile mmWave Massive MIMO Communications

Ghosh¹,

Singh

Hacı³

et al. 2021

IEEE Access

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“…is a bit error rate, which is determined by the modulation scheme [20]- [23]. E b N0 is calculated from the bandwidth W , data rate R, and SNR as between two nodes to reach the maximum transmission distance r t , is formulated as…”

Section: E Routing Cost Calculationmentioning

confidence: 99%

Dual-Channel-Based Mobile Ad Hoc Network Routing Technique for Indoor Disaster Environment

Kim

Cho

2020

IEEE Access

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The existing network infrastructure may not work well in a disaster environment caused by a fire or an earthquake. Instead of relying on the existing infrastructure, communicating through a mobile ad hoc network (MANET) is recommended because MANET can configure a network without an infrastructured communication system. In addition, firefighters conducting emergency activities in harsh environments surrounded by flames and smoke need a communication system to assist their rapid firefighting operations. Existing work is not suitable for indoor firefighter communications because they did not consider the indoor disaster environment well. In this proposed scheme, dual channels (i.e., 2.4 GHz and sub-GHz bands) are used for an efficient routing table configuration. Data frame and HELLO message are exchanged through the 2.4 GHz band, while the neighbor list of each node is exchanged through the sub-GHz band. Each node can configure the routing table based on the exchanged neighbor list. A performance evaluation is conducted to compare the proposed technique with enhanced versions of optimized link state routing (OLSR) and destination-sequenced distance vector routing (DSDV). The results show that the proposed scheme outperforms the other two MANET routing algorithms (i.e., OLSRmod and DSDV-mod) in terms of the packet delivery ratio (PDR), end-to-end delay, and initial routing table configuration time approximately 27.8%, 4.7%, and 166.7%, respectively.

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A Generalized Bit Error Rate Evaluation for Index Modulation Based OFDM System

Cited by 10 publications

References 42 publications

[Retracted] Intelligent Simulation of Children’s Psychological Path Selection Based on Chaotic Neural Network Algorithm

[Retracted] Intelligent Simulation of Children’s Psychological Path Selection Based on Chaotic Neural Network Algorithm

Allied Power Constraint Optimization and Optimal Beam Tracking Schemes for Mobile mmWave Massive MIMO Communications

Dual-Channel-Based Mobile Ad Hoc Network Routing Technique for Indoor Disaster Environment

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