A Simplified GCS-DCSK Modulation and Its Performance Optimization

2016 ◽  
Vol 26 (13) ◽  
pp. 1650213 ◽  
Author(s):  
Weikai Xu ◽  
Lin Wang ◽  
Chong-Yung Chi
Keyword(s):  
Power Allocation ◽  
Performance Optimization ◽  
Gaussian Approximation ◽  
System Model ◽  
Optimal Power Allocation ◽  
Optimal Power ◽  
Proposed Model ◽  
Shift Keying ◽  
Simulation Results ◽  
Chaos Shift Keying

In this paper, a simplified Generalized Code-Shifted Differential Chaos Shift Keying (GCS-DCSK) whose transmitter never needs any delay circuits, is proposed. However, its performance is deteriorated because the orthogonality between substreams cannot be guaranteed. In order to optimize its performance, the system model of the proposed GCS-DCSK with power allocations on substreams is presented. An approximate bit error rate (BER) expression of the proposed model, which is a function of substreams’ power, is derived using Gaussian Approximation. Based on the BER expression, an optimal power allocation strategy between information substreams and reference substream is obtained. Simulation results show that the BER performance of the proposed GCS-DCSK with the optimal power allocation can be significantly improved when the number of substreams [Formula: see text] is large.

scholarly journals Design and optimization of multi user OFDM orthogonal chaotic vector shift keying communication system

2021 ◽  
Vol 10 (2) ◽  
pp. 776-784
Author(s):  
Ansam M. Abed ◽  
Fadhil S. Hasan
Keyword(s):  
Power Allocation ◽  
Fading Channels ◽  
Rayleigh Fading ◽  
Optimal Power Allocation ◽  
Allocation Strategy ◽  
Design And Optimization ◽  
Frequency Selective Fading ◽  
Optimal Power ◽  
Shift Keying ◽  
Vector Shift

This paper study and present, power allocation strategy on sub-carriers of multiuser OFDM employed for orthogonal chaotic vector shift keying (MU OFDM-OCVSK) over multipath frequency selective fading channels. firstly, the MU OFDM-OCVSK system is modeled with power allocated on reference and information bearing subcarriers. Then, the computed bit error rate equation of the power allocation MU OFDM-OCVSK system is derived. The optimal power allocation strategy on subcarriers is obtained using convex optimization. Finally, compared with the traditional MU OFDM-DCSK and MU OFDM-OCVSK without power allocation system the proposed system can achieve an excellent BER performance under multipath Rayleigh fading channels. Numerical and Simulation results emphasize the remarkable features of the proposed optimal power allocation strategy.

scholarly journals Pairwise Error Probability Performance of SM-MIMO and Spatially Modulated Cooperative Communication Employing SDF Protocol

2019 ◽  
Vol 8 (6) ◽  
pp. 4755-4761
Keyword(s):  
Power Allocation ◽  
Error Probability ◽  
Mimo System ◽  
Optimal Detection ◽  
Optimal Power Allocation ◽  
Cooperative System ◽  
Decode And Forward ◽  
Pairwise Error Probability ◽  
Optimal Power ◽  
Simulation Results

In this paper, we analyze the performance of spatially modulated (SM) multiple input multiple output (MIMO) system and spatially modulated MIMO cooperative system with multiple relays employing selective decode and forward (SDF) protocol. Here the analysis is done for pre-determined orthogonal channel for SM MIMO and SM MIMO cooperative system using M-PSK modulation and ML detection. Firstly Pairwise error probability (PEP) expression is derived and optimal, sub-optimal detection is done in a spatially modulated MIMO system. Further, the analysis of SDF spatially modulated MIMO cooperative system is extended to single relay and multiple relay configurations. PEP expression is also derived for SDF spatially modulated MIMO cooperative system. Simulation results for the SM MIMO system show optimal detection performs better than suboptimal detection and system performance improves as the number of antenna increases. The simulation results of PEP analysis in the SM MIMO cooperative system include the theoretical PEP, exact PEP and asymptotic PEP and Optimal power allocation (OPA) is also derived for the same. Optimal power allocation for theoretical PEP, exact PEP and asymptotic PEP outperforms the same at equal power allocation

scholarly journals A New Scheme To Enhance The Performance Of Permutation Index-Differential Chaos Shift Keying Communications System

2021 ◽  
Author(s):  
Nizar Albassam ◽  
Oday Al-Jerew
Keyword(s):  
Gaussian Approximation ◽  
Energy Requirement ◽  
Reference Signal ◽  
Analytical Form ◽  
Error Performance ◽  
Shift Keying ◽  
Simulation Results ◽  
Chaos Shift Keying ◽  
Channel Environment ◽  
Differential Chaos Shift Keying

Abstract In this paper, a new scheme based on permutation index-differential chaos shift keying is proposed, modeled, and evaluated in AWGN channel environment. Data is sent by frames, each frame is headed by a single reference signal and followed by some information bearing signals. Modulation is performed through permutations of a reference signal according to the mapped data. At the receiver, each incoming information bearing signal undergoes all inverse permutation possibilities to perform a correlation with the delayed and stored version of the received reference signal. To decode the information bits, the detector selects the highest correlator outputs. The proposed scheme named Single Reference-Permutation Index-Differential Chaos Shift Keying (SR-PI-DCSK) is an enhanced version of PI-DCSK, and uses a single reference signal for multiple information bearing ones. Hence, the energy requirement is saved by almost a half. The bit error performance is studied using the baseband system model and analytically tested using Gaussian Approximation (GA) method. Results show the BER performance outperforms other standard and recently developed differentially coherent chaos systems, including Permutation Index-DCSK by an average of $2.25$~db. Moreover, the analytical form which is developed to predict the Bit Error Rate (BER) is validated by simulation. Results demonstrate the performance in AWGN is closely matching with the simulation results, particularly at high SNR.

scholarly journals A new scheme to enhance the performance of permutation index–differential chaos shift keying communications system

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Nizar Al Bassam ◽  
Oday Al-Jerew
Keyword(s):  
Gaussian Approximation ◽  
Energy Requirement ◽  
Reference Signal ◽  
Analytical Form ◽  
Error Performance ◽  
Shift Keying ◽  
Simulation Results ◽  
Chaos Shift Keying ◽  
Channel Environment ◽  
Differential Chaos Shift Keying

AbstractIn this paper, a new scheme based on permutation index–differential chaos shift keying is proposed, modeled, and evaluated in AWGN channel environment. Data is sent by frames, and each frame is headed by a single reference signal and followed by some information-bearing signals. Modulation is performed through permutations of a reference signal according to the mapped data. At the receiver, each incoming information-bearing signal undergoes all inverse permutation possibilities to perform a correlation with the delayed and stored version of the received reference signal. To decode the information bits, the detector selects the highest correlator outputs. The proposed scheme named single reference–permutation index–differential chaos shift keying is an enhanced version of PI-DCSK, and uses a single reference signal for multiple information-bearing ones. Hence, the energy requirement is saved by almost a half. The bit error performance is studied using the baseband system model and analytically tested using Gaussian approximation method. Results show the BER performance outperforms other standard and recently developed differentially coherent chaos systems, including Permutation Index–DCSK by an average of 2.25 dB. Moreover, the analytical form which is developed to predict the bit error rate (BER) is validated by simulation. Results demonstrate the performance in AWGN is closely matching with the simulation results, particularly at high SNR.

Research on Optimal Power Allocation with SDF and Distributed STBC in Multi-Hop Cooperative MIMO Network

2010 ◽  
Vol 20-23 ◽  
pp. 271-276
Author(s):  
Xiao Rong Xu ◽  
Bao Yu Zheng ◽  
Jian Wu Zhang
Keyword(s):  
Power Allocation ◽  
Cooperative Diversity ◽  
Symbol Error Rate ◽  
Performance Comparison ◽  
Optimal Power Allocation ◽  
Allocation Scheme ◽  
Decode And Forward ◽  
Cooperative Mimo ◽  
Optimal Power ◽  
Simulation Results

Multi-hop cooperative MIMO network that consists of multiple nodes each equipped with single antenna is introduced and investigated. Optimal power allocation scheme with selective decode-and-forward (SDF) cooperative strategy is formulated and solved by means of optimization method with the purpose of minimization of system’s symbol error rate (SER), which are derived and analyzed with numerical results presented. Distributed space-time block Code (DSTBC) in multi-hop cooperative MIMO is analyzed and compared with optimal power allocation scheme with SDF strategy. Simulation results reveal that, cooperative diversity could be achieved with optimal power allocation. Optimum power allocation scheme depends on the relay’s position and channel quality between source to relay and relay to destination. Novel performance comparison between optimal power allocation and DSTBC are researched and presented. Simulation results confirm our theoretical analysis, which indicates that multi-node DSTBC outperforms optimal power allocation scheme due to the fact that cooperative diversity gain and coded gain could be obtained simultaneously for DSTBC in multi-hop cooperative MIMO network.

Optimal power allocation for NOMA-enabled D2D communication with imperfect SIC decoding

2021 ◽  
Vol 46 ◽  
pp. 101296
Author(s):  
Shanshan Yu ◽  
Wali Ullah Khan ◽  
Xiaoqing Zhang ◽  
Ju Liu
Keyword(s):  
Power Allocation ◽  
D2d Communication ◽  
Optimal Power Allocation ◽  
Optimal Power

scholarly journals User Clustering and Power Allocation for Energy Efficiency Maximization in Downlink Non-Orthogonal Multiple Access Systems

2021 ◽  
Vol 11 (2) ◽  
pp. 716
Author(s):  
Ruibiao Chen ◽  
Fangxing Shu ◽  
Kai Lei ◽  
Jianping Wang ◽  
Liangjie Zhang
Keyword(s):  
Energy Efficiency ◽  
Power Allocation ◽  
Multiple Access ◽  
Spectrum Efficiency ◽  
Lagrangian Multiplier ◽  
Efficiency Gain ◽  
Optimal Power Allocation ◽  
Optimal Power ◽  
User Clustering ◽  
Cluster Dynamic

Non-orthogonal multiple access (NOMA) has been considered a promising technique for the fifth generation (5G) mobile communication networks because of its high spectrum efficiency. In NOMA, by using successive interference cancellation (SIC) techniques at the receivers, multiple users with different channel gain can be multiplexed together in the same subchannel for concurrent transmission in the same spectrum. The simultaneously multiple transmission achieves high system throughput in NOMA. However, it also leads to more energy consumption, limiting its application in many energy-constrained scenarios. As a result, the enhancement of energy efficiency becomes a critical issue in NOMA systems. This paper focuses on efficient user clustering strategy and power allocation design of downlink NOMA systems. The energy efficiency maximization of downlink NOMA systems is formulated as an NP-hard optimization problem under maximum transmission power, minimum data transmission rate requirement, and SIC requirement. For the approximate solution with much lower complexity, we first exploit a quick suboptimal clustering method to assign each user to a subchannel. Given the user clustering result, the optimal power allocation problem is solved in two steps. By employing the Lagrangian multiplier method with Karush–Kuhn–Tucker optimality conditions, the optimal power allocation is calculated for each subchannel. In addition, then, an inter-cluster dynamic programming model is further developed to achieve the overall maximum energy efficiency. The theoretical analysis and simulations show that the proposed schemes achieve a significant energy efficiency gain compared with existing methods.

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