Maximizing Throughput of Hybrid FSO-RF Communication System: An Algorithm

Khan, Muhammad Nasir; Gilani, Syed Omer; Jamil, Mohsin; Rafay, Abdul; Awais, Qasim; Khawaja, Bilal A.; Uzair, Muhammad; Malik, Aqsa

doi:10.1109/access.2018.2840535

Cited by 37 publications

(29 citation statements)

References 25 publications

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“…Figure 5 shows the optimized lower bound of achievable rate, R L k α opt , versus the transmitted symbol SNR ρ. For comparison, we plot the simulated and approximated lower bound of achievable rates by substituting the simulated α opt and the approximated α opt into (11), respectively. We can discover that the simulated and approximated rates coincide well with each other and with some acceptable and small gaps.…”

Section: Numerical Results and Analysismentioning

confidence: 99%

“…From (11), it can be observed that the lower bound of achievable rate, R L k (α), is related but not monotonic to the TSF α.…”

Section: Derivation Of Lower Bound Of Rate With Ls Cementioning

confidence: 99%

“…Substituting (15) into (7) and with some simple calculations, we can get the lower bound of achievable rate for the k-th user pair R L k (α) with RMMSE CE which has the same form as (11). However, the values of A, B, C and D are different from (12) and can be computed as…”

Section: Derivation Of Lower Bound Of Rate With Rmmse Cementioning

confidence: 99%

“…The above studies on IA with imperfect CSI are mostly based on the fixed duration training. In the information processing or communication system design, the system performance can be improved by optimizing some parameters [11][12][13]. In this paper, we introduce the time splitting factor (TSF) as the optimization variable.…”

Section: Introductionmentioning

confidence: 99%

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Optimized Time Splitting to Maximize the Lower Bound of Rate with Channel Estimation in An Interference Alignment Based Network

Yao¹,

Yao²,

Xu³

et al. 2019

RADIOENGINEERING

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In this paper, for an interference alignment (IA) based network, a time splitting scheme for transmitting training and data symbols is optimized. The time allocated for transmitting training symbol will affect the precision of channel estimation (CE) and thus the achievable rate as well as the duration for data symbol transmission. With the least square (LS) and relaxed minimum mean square error (RMMSE) CE algorithm, the lower bounds of achievable rate are carefully derived, respectively. Then we formulate an optimization problem to maximize the lower bounds of achievable rate by optimizing the time splitting factor (TSF). The existence of optimum is first proved. Then, regarding the complexity of solution, Taylor expansion is adopted to find the approximated optimal TSF. Numerical results are presented to show the optimal TSF can achieve larger lower bound of achievable rate over other fixed TSFs due to its adaptivity to the channel characteristics and its statistics of CE errors. Numerical results also validate that the approximation just brings out some small and acceptable errors on the system rate. In addition, RMMSE CE algorithm shows better performance than LS CE because RMMSE considers noise statistics as modification.

show abstract

Section: Numerical Results and Analysismentioning

confidence: 99%

“…From (11), it can be observed that the lower bound of achievable rate, R L k (α), is related but not monotonic to the TSF α.…”

Section: Derivation Of Lower Bound Of Rate With Ls Cementioning

confidence: 99%

Section: Derivation Of Lower Bound Of Rate With Rmmse Cementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Optimized Time Splitting to Maximize the Lower Bound of Rate with Channel Estimation in An Interference Alignment Based Network

Yao¹,

Yao²,

Xu³

et al. 2019

RADIOENGINEERING

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“…Spectrum scarcity has become one of the major problems hindering the growth of wireless communication. Different solutions like Free Space Optical (FSO) communication and Cognitive Radio (CR) have emerged for efficient utilization of spectrum [1]. CR is a promising solution provided by the concept of dynamic spectrum access, where the users intelligently sense the spectrum and access the vacant bands [2].…”

Section: Introductionmentioning

confidence: 99%

Cyclostationary Feature Detection Based Blind Approach for Spectrum Sensing and Classification

George¹,

Prema²

2019

RADIOENGINEERING

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A Spectrum Sensing (SS) device, regardless of its location, should be able to detect the presence of signal over noise. In certain applications, SS should be able to correctly identify and classify the received signal. These functions are to be performed with little or no prior information about the incoming signal or channel noise. Cyclostationary Feature Detection (CFD) can be used to detect primary users (PU) using periodicity in autocorrelation of the modulated signals. These algorithms attempt to differentiate signal from noise based on the uncorrelated nature of noise. CFD is often considered as a semi-blind approach, since it requires prior information about the PU signal for detection. For identification and classification of PU signal, existing algorithms make use of CFD and neural networks. This paper proposes a novel algorithm to obtain completely blind detection performance based on CFD. Classification of PU signals is based on the basic statistics regarding cyclic spectrum. Further, an algorithm is formulated to identify modulation scheme of the signal and classify it without making use of any training algorithms. The proposed approach is capable of detecting PU reliably for SNR as low as-8 dB with no prior information about PU or noise in the channel.

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Performance Evaluation of Hybrid RF/FSO Communication System in High-Speed Train

Chauhan

Verma

2019

International Conference on Intelligent Computing and Smart Communication 2019

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Maximizing Throughput of Hybrid FSO-RF Communication System: An Algorithm

Cited by 37 publications

References 25 publications

Optimized Time Splitting to Maximize the Lower Bound of Rate with Channel Estimation in An Interference Alignment Based Network

Optimized Time Splitting to Maximize the Lower Bound of Rate with Channel Estimation in An Interference Alignment Based Network

Cyclostationary Feature Detection Based Blind Approach for Spectrum Sensing and Classification

Performance Evaluation of Hybrid RF/FSO Communication System in High-Speed Train

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