scholarly journals Algoritma Epsilon Greedy pada Reinforcement Learning untuk Modulasi Adaptif Komunikasi Vehicle to Infrastructure (V2I)

2021 ◽  
Vol 9 (3) ◽  
pp. 716
Author(s):  
NAZMIA KURNIAWATI ◽  
YULI KURNIA NINGSIH ◽  
SOFIA DEBI PUSPA ◽  
TRI SWASONO ADI
Keyword(s):  
Reinforcement Learning ◽  
Greedy Algorithm ◽  
Environmental Conditions ◽  
Adaptive Modulation ◽  
Modulation Scheme ◽  
Moving Vehicle ◽  
Qam Modulation ◽  
Vehicle To Infrastructure ◽  
Simulation Results ◽  
Modulation Schemes

ABSTRAKKomunikasi Vehicle to Infrastructure (V2I) memungkinkan kendaraan dapat terhubung ke berbagai macam infrastruktur. Dengan kondisi kendaraan yang bergerak, maka kondisi lingkungan yang dilewati mempengaruhi parameter komunikasi. Implementasi modulasi adaptif pada skema V2I memperbolehkan sistem menggunakan skema modulasi yang berbeda untuk mengakomodasi perubahan kondisi lingkungan. Pada penelitian ini digunakan skema modulasi QPSK, 8PSK, dan 16-QAM dengan memanfaatkan reinforcement learning dan algoritma epsilon greedy untuk menentukan skema modulasi yang digunakan berdasarkan level AWGN. Dari hasil simulasi dengan kondisi nilai epsilon yang divariasikan dari 0.1 hingga 0.5 didapatkan bahwa semakin tinggi nilai epsilon maka semakin sering agen tidak memilih skema modulasi dengan reward tertinggi.Kata kunci: Reinforcement learning, Modulasi Adaptif, AWGN ABSTRACTVehicle to Infrastructure (V2I) communication allows vehicles to be connected to various infrastructures. Under the scenario of a moving vehicle, the environmental conditions which is passed by the vehicle will affect the communication parameters. The adaptive modulation implementation in the V2I scheme allows the system to use different modulation schemes to accommodate changing environmental conditions. In this study, the QPSK, 8PSK, and 16-QAM modulation schemes were used by utilizing reinforcement learning and the epsilon greedy algorithm to determine the modulation scheme used based on AWGN level. From the simulation results with the conditions of the epsilon value varying from 0.1 to 0.5, it is found that the higher the epsilon value, the more often the agent does not choose the modulation scheme with the highest reward.Keywords: Reinforcement learning, Adaptive Modulation, AWGN

Performance Comparison of Two Network Coding Modulation Scheme in Multiple Access Relay Cooperation

2012 ◽  
Vol 468-471 ◽  
pp. 2603-2606
Author(s):  
Shi Bin Su ◽  
Yuan Yuan Gao ◽  
Ya Jun Zhang ◽  
Bao Feng Yang ◽  
Ya Long Zhang
Keyword(s):  
Network Coding ◽  
Multiple Access ◽  
Adaptive Modulation ◽  
Performance Comparison ◽  
Modulation Scheme ◽  
Relay Cooperation ◽  
Simulation Results ◽  
Modulation Schemes ◽  
Performance Analysis And Simulation ◽  
System Outage Probability

In this paper, two different modulation schemes are developed in multiple access relay cooperation with network coding. Performance analysis and simulation results show that there is one point where the two modulation schemes have the same system outage probability. This finding can be utilized to propose an adaptive modulation scheme.

Exploration of Modulation and Demodulation for Body Area Networks

2013 ◽  
Vol 427-429 ◽  
pp. 2558-2561
Author(s):  
Guo Quan Li ◽  
Ke Tang ◽  
Jin Zhao Lin ◽  
Yu Pang ◽  
Zhang Yong Li ◽  
...  
Keyword(s):  
Adaptive Modulation ◽  
Algorithm Design ◽  
Modulation Scheme ◽  
Body Area ◽  
Modulation And Demodulation ◽  
Channel Quality ◽  
Awgn Channel ◽  
Simulation Results ◽  
And Performance ◽  
Ber Performance

Modulation and demodulation are two important parts in BAN baseband transmission systems. Different demodulation algorithms may affect the BER performance of the entire system seriously. Referring to IEEE 802.15.6 BAN standard, theoretical analysis and algorithm design of the modulation and demodulation for π/2-DBPSK and π/4-DQPSK is carried out and simulation results of BER performance are presented in this paper. In AWGN channel, both modulations achieve good performance, and performance degradation of π/4-DQPSK happens in multipath channel which may not satisfy the requirements. Adaptive modulation is considered to solve this problem by choosing different modulation scheme according to channel quality.

scholarly journals A Novel Modulation Scheme of 8x8 MIMO in Industry 4.0

2021 ◽  
Vol 23 (3) ◽  
pp. 1-10
Author(s):  
Rajashree Suryawanshi ◽  
P. Kavipriya ◽  
B.P. Patil
Keyword(s):  
Fading Channel ◽  
Industry 4.0 ◽  
Adaptive Modulation ◽  
Multiple Input Multiple Output ◽  
Modulation Scheme ◽  
Zero Forcing ◽  
Lte Advanced ◽  
Multiple Input ◽  
Qam Modulation ◽  
Input Multiple Output

A key component in the usage of Industry 4.0 arrangements is the up and coming age of system network, LTE/LTE advanced today, and 5G, later on. Industry 4.0 is conveying private LTE arranges today, as they trust it will give them an upper hand and a solid head start when 5G opens up. LTE uses multiple input multiple output (MIMO), a promising technique to accomplish the necessary data rate. This article presents consequences of 8x8 MIMO framework in fading channel utilizing V-BLAST by means of zero-forcing (ZF) with standard ZF. The relative investigation in the fading channel on account of symbol error proves V-BLAST by means of ZF has predominant execution than standard ZF finder. In addition to this, in order to support adaptive modulation, various M-QAM modulation schemes for these detectors are compared. This comparison shows 128-QAM performs superiorly to staying two. This investigation is carried out to help utilization of MIMO in LTE to support Industry 4.0.

scholarly journals Performances of BICM-ID system using CRSC code in optical transmissions

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Hocine Fekih ◽  
Boubakar Seddik Bouazza ◽  
Keltoum Nouri
Keyword(s):  
Bit Error Rate ◽  
Error Rate ◽  
Iterative Decoding ◽  
Optical Transmission ◽  
Coded Modulation ◽  
Modulation Scheme ◽  
Coding Gain ◽  
Decoding Algorithms ◽  
Qam Modulation ◽  
Short Code

AbstractRecently, using iterative decoding algorithms to achieve an interesting bit error rate for spectrally efficient modulation become a necessity for optical transmission, in this paper, we propose a coded modulation scheme based on bit interleaving circular recursive systematic convolutional (CRSC) code and 16-QAM modulation. The proposal system considered as a serial concatenation of a channel encoder, a bit interleaver and M-ary modulator can be flexible easy to implement using a short code length. For a spectral efficiency $\eta =3\text{bit}/s/Hz$, the coding gain at a bit error rate of 10−6 is about 8 dB.

scholarly journals Adaptive modulation based on steady-state mean square error for underwater acoustic communication

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Zhiyong Liu ◽  
Zhoumei Tan ◽  
Fan Bai
Keyword(s):  
Steady State ◽  
Mean Square Error ◽  
Adaptive Modulation ◽  
Blind Equalization ◽  
Training Sequence ◽  
Transmission Efficiency ◽  
Underwater Acoustic Communication ◽  
Mean Square ◽  
Modulation Mode ◽  
Simulation Results

AbstractTo improve the transmission efficiency and facilitate the realization of the scheme, an adaptive modulation (AM) scheme based on the steady-state mean square error (SMSE) of blind equalization is proposed. In this scheme, the blind equalization is adopted and no training sequence is required. The adaptive modulation is implemented based on the SMSE of blind equalization. The channel state information doesn’t need to be assumed to know. To better realize the adjustment of modulation mode, the polynomial fitting is used to revise the estimated SNR based on the SMSE. In addition, we also adopted the adjustable tap-length blind equalization detector to obtain the SMSE, which can adaptively adjust the tap-length according to the specific underwater channel profile, and thus achieve better SMSE performance. Simulation results validate the feasibility of the proposed approaches. Simulation results also show the advantages of the proposed scheme against existing counterparts.

Collaborative Scheduling of Algorithms for Path Planning of Unmanned Systems

2021 ◽  
Vol 01 ◽  
Author(s):  
Ying Li ◽  
Chubing Guo ◽  
Jianshe Wu ◽  
Xin Zhang ◽  
Jian Gao ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Reinforcement Learning ◽  
Path Planning ◽  
Unmanned Systems ◽  
Ant Colony Optimization Algorithm ◽  
A Algorithm ◽  
Collaborative Scheduling ◽  
Simulation Results ◽  
Planning Problems ◽  
Effective Path

Background: Unmanned systems have been widely used in multiple fields. Many algorithms have been proposed to solve path planning problems. Each algorithm has its advantages and defects and cannot adapt to all kinds of requirements. An appropriate path planning method is needed for various applications. Objective: To select an appropriate algorithm fastly in a given application. This could be helpful for improving the efficiency of path planning for Unmanned systems. Methods: This paper proposes to represent and quantify the features of algorithms based on the physical indicators of results. At the same time, an algorithmic collaborative scheme is developed to search the appropriate algorithm according to the requirement of the application. As an illustration of the scheme, four algorithms, including the A-star (A*) algorithm, reinforcement learning, genetic algorithm, and ant colony optimization algorithm, are implemented in the representation of their features. Results: In different simulations, the algorithmic collaborative scheme can select an appropriate algorithm in a given application based on the representation of algorithms. And the algorithm could plan a feasible and effective path. Conclusion: An algorithmic collaborative scheme is proposed, which is based on the representation of algorithms and requirement of the application. The simulation results prove the feasibility of the scheme and the representation of algorithms.

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