Channel Capacity Enhancement on Maximization of Modified Verma and Bose-Einstein Entropies by Gaussian Distribution

2021 ◽  
pp. 70-78
Author(s):  
Rohit Kumar Verma
Keyword(s):  
Channel Capacity ◽  
Gaussian Distribution ◽  
Capacity Enhancement ◽  
Bose Einstein

Channel capacity enhancement by adjustable graphene-based MIMO antenna in THz band

2019 ◽  
Vol 51 (5) ◽  
Author(s):  
Meisam Esfandiyari ◽  
Saughar Jarchi ◽  
Mohsen Ghaffari-Miab
Keyword(s):  
Channel Capacity ◽  
Mimo Antenna ◽  
Capacity Enhancement

scholarly journals PCA Data Reduction for MIMO Based Channel, Capacity Enhancement Using 16-QAM Modulation

2020 ◽  
Vol 7 (2) ◽  
pp. 118-126
Author(s):  
Panem Charan Arur ◽  
Deepak Chodankar ◽  
Rajendra S. Gad ◽  
G. M. Naik
Keyword(s):  
Channel Capacity ◽  
Data Reduction ◽  
Capacity Enhancement ◽  
Qam Modulation

Coding Strategies in Monkey V1 and Inferior Temporal Cortices

1998 ◽  
Vol 79 (3) ◽  
pp. 1135-1144 ◽  
Author(s):  
Ethan D. Gershon ◽  
Matthew C. Wiener ◽  
Peter E. Latham ◽  
Barry J. Richmond
Keyword(s):  
Channel Capacity ◽  
Gaussian Distribution ◽  
Dynamic Range ◽  
Spike Count ◽  
Neuronal Responses ◽  
Response Characteristics ◽  
Cortical Areas ◽  
Count Response ◽  
Coding Strategies ◽  
The Mean

Gershon, Ethan D., Matthew C. Wiener, Peter E. Latham, and Barry J. Richmond. Coding strategies in monkey V1 and inferior temporal cortices. J. Neurophysiol. 79: 1135–1144, 1998. We would like to know whether the statistics of neuronal responses vary across cortical areas. We examined stimulus-elicited spike count response distributions in V1 and inferior temporal (IT) cortices of awake monkeys. In both areas, the distribution of spike counts for each stimulus was well described by a Gaussian distribution, with the log of the variance in the spike count linearly related to the log of the mean spike count. Two significant differences in response characteristics were found: both the range of spike counts and the slope of the log(variance) versus log(mean) regression were larger in V1 than in IT. However, neurons in the two areas transmitted approximately the same amount of information about the stimuli and had about the same channel capacity (the maximum possible transmitted information given noise in the responses). These results suggest that neurons in V1 use more variable signals over a larger dynamic range than IT neurons, which use less variable signals over a smaller dynamic range. The two coding strategies are approximately as effective in transmitting information.

scholarly journals Performance Analysis of FBMC O-QAM System Using Varied Modulation Level

2020 ◽  
Vol 12 (2) ◽  
pp. 45-51
Author(s):  
Prieska Marina ◽  
Anggun Fitrian Isnawati ◽  
Mas Aly Afandi
Keyword(s):  
Channel Capacity ◽  
Bit Error Rate ◽  
Error Rate ◽  
Orthogonal Frequency Division Multiplexing ◽  
Antenna System ◽  
Spectrum Efficiency ◽  
Zero Forcing ◽  
Capacity Enhancement ◽  
Filter Bank Multicarrier ◽  
Transmitting Antenna

Communication channels that are affected by various disturbances will cause a high Bit Error Rate (BER). To maximize the performance of the channel in the future, Filter Bank Multicarrier (FBMC) technique is used as a renewal of Orthogonal Frequency Division Multiplexing (OFDM). FBMC has better spectrum efficiency properties due to the nature of orthogonality which only divides bandwidth for sub-channels. The purpose of the research was to knowing the performance of FBMC Offset QAM (FBMC O-QAM) which has a variation of modulation levels of 4-QAM, 16-QAM, and 64-QAM. The Zero Forcing (ZF) method is used to detect the original signal sent by the transmitting antenna. System performance in this study was measured by parameter Bit Error Rate (BER) and channel capacity. The results showed that the FBMC O-QAM system with ZF has decreased BER value on each modulation. At the time of modulation 4 QAM has a BER value of 0.0008945 with an SNR value of 20 dB. Modulation 16 QAM also experienced the same thing when the SNR value of 20 dB has BER value of 0.001856, and at modulation 64 QAM has BER value of 0.01766 at a SNR of 20 dB. Besides decreasing the BER parameters, the FBMC O-QAM ZF system has own characterize in channel capacity. For the 4-QAM has 4.808 b/s/Hz, 16-QAM has 4.627 b/s/Hz, and 64-QAM has 3.903 b/s/Hz at SNR 20 dB. It conclude that 4-QAM has a best channel capacity enhancement. The value of channel capacity generated based on simulations using Zero Forcing shows an increase in value along with an increase in SNR, but has a smaller value compared to channel capacity in theory.

scholarly journals Channel capacity enhancement with indefinite causal order

2020 ◽  
Vol 101 (1) ◽  
Author(s):  
Nicolas Loizeau ◽  
Alexei Grinbaum
Keyword(s):  
Channel Capacity ◽  
Causal Order ◽  
Capacity Enhancement
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