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 5G UFMC Scheme Performance with Different Numerologies

Electronics ◽  
2021 ◽  
Vol 10 (16) ◽  
pp. 1915
Author(s):  
Lambros Sakkas ◽  
Eleftherios Stergiou ◽  
Georgios Tsoumanis ◽  
Constantinos T. Angelis
Keyword(s):  
Mobile Communications ◽  
Bit Error Rate ◽  
Communication Systems ◽  
Modulation Scheme ◽  
Fifth Generation ◽  
Data Rates ◽  
The World ◽  
Simulation Results ◽  
5G Systems ◽  
Ber Performance

5G is the latest mobile communications standard that is spreading fast across the world. Recently defined requirements for 5G systems have led to higher applications’ requirements regarding data rates, lower requirements for latency, and higher efficiency regarding the spectrum usage. Universal Filtered Multi-Carrier (UFMC) is one new candidate modulation scheme for emergent Fifth Generation (5G) communication systems. This paper focuses on Universal Filtered Multi-Carrier (UFMC) design aspects in terms of Bit Error Rate (BER) performance in relation to the filter length used in subband filtering. Simulation results show that BER and CCDF performance varies for different filter lengths and modulation schemes. The main achievement of this work is that the results show that different Dolph–Chebyshev FIR filter lengths do not affect the BER performance both for the 64 and 256 QAM.

Research on Adaptive Modulation and Coding Technology in LTE-A System

2014 ◽  
Vol 513-517 ◽  
pp. 2534-2537
Author(s):  
Dan Wang ◽  
Chi Yun Xu
Keyword(s):  
Adaptive Modulation ◽  
Channel Equalization ◽  
System Throughput ◽  
Adaptive Modulation And Coding ◽  
Channel Correlation ◽  
Matrix Rank ◽  
Channel Matrix ◽  
Simulation Results ◽  
And Performance

In order to further improve the throughput and performance of the LTE system in the LTE-A system,this paper proposes a kind of AMC before the channel equalization in the LTE-A system. The scheme will be the channel matrix rank, channel correlation and channel equalization of SNR together as parameter for MCS, through the CQI-SNR curve to find the channel equalization before the final CQI to complete the feedback.And it solves the problems that the traditional AMC only relies on the SNR, and the SNR accuracy requirements. The theory and simulation results show, this scheme can improve the system throughput and performance.

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.

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

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.

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