Pub Date : 2018-10-01DOI: 10.1109/WCSP.2018.8555629
Jiawei Duan, X. Yin, B. Ai, Bowen Deng, Zhimeng Zhong
In our previous work a scatterer-localization algorithm based on maximum-likelihood estimation was derived using spherical wavefront assumption. Individual Cramér-Rao Lower Bounds (CRLBs) for distance and azimuth estimation were presented. As a continuation, we now derive a joint CRLB for both distance and azimuth. The novelty lying in the joint CRLB is that the underlying Fisher Information Matrix (FIM) is a non-diagonal partition matrix, yielding the fact that the CRLB obtained is tighter than the CRLBs derived individually. A closed-form representation of the approximate of the joint CRLB is presented which is expressed as a function of the FIM elements. Monte-Carlo simulations are performed to assess the validity and the accuracy of the derived bounds. Finally, the applicability of the derived CRLB is illustrated for vehicle or obstacle localization when a vehicle-mounted millimeter-wave environment-sensing system is considered.
{"title":"Distance-Azimuth Joint Cramér-Rao Lower Bound for Spherical-wavefront-based Scatterer Localization","authors":"Jiawei Duan, X. Yin, B. Ai, Bowen Deng, Zhimeng Zhong","doi":"10.1109/WCSP.2018.8555629","DOIUrl":"https://doi.org/10.1109/WCSP.2018.8555629","url":null,"abstract":"In our previous work a scatterer-localization algorithm based on maximum-likelihood estimation was derived using spherical wavefront assumption. Individual Cramér-Rao Lower Bounds (CRLBs) for distance and azimuth estimation were presented. As a continuation, we now derive a joint CRLB for both distance and azimuth. The novelty lying in the joint CRLB is that the underlying Fisher Information Matrix (FIM) is a non-diagonal partition matrix, yielding the fact that the CRLB obtained is tighter than the CRLBs derived individually. A closed-form representation of the approximate of the joint CRLB is presented which is expressed as a function of the FIM elements. Monte-Carlo simulations are performed to assess the validity and the accuracy of the derived bounds. Finally, the applicability of the derived CRLB is illustrated for vehicle or obstacle localization when a vehicle-mounted millimeter-wave environment-sensing system is considered.","PeriodicalId":423073,"journal":{"name":"2018 10th International Conference on Wireless Communications and Signal Processing (WCSP)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133195274","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-01DOI: 10.1109/WCSP.2018.8555582
Liwei Mu, Xingcheng Liu, Lie-liang Yang
To enhance the reliability of diffusive molecular communications (DMC), redundant residue number system (RRNS) code is introduced to DMC in this paper. We justify the rationality behind the application of RRNS code in DMC, and explain the principles of the RRNS-coded DMC. Assuming binary molecular shift keying (BMoSK) modulation, we investigate the performance of DMC systems, when the DMC systems experience both inter-symbol interference (ISI) and molecular noise. Our studies and performance results show that RRNS code constitutes a class of promising error-control codes, which facilitates DMC systems to achieve a good trade-off among coding rate, implementation complexity and reliability.
{"title":"Redundant Residue Number System Coded Diffusive Molecular Communications","authors":"Liwei Mu, Xingcheng Liu, Lie-liang Yang","doi":"10.1109/WCSP.2018.8555582","DOIUrl":"https://doi.org/10.1109/WCSP.2018.8555582","url":null,"abstract":"To enhance the reliability of diffusive molecular communications (DMC), redundant residue number system (RRNS) code is introduced to DMC in this paper. We justify the rationality behind the application of RRNS code in DMC, and explain the principles of the RRNS-coded DMC. Assuming binary molecular shift keying (BMoSK) modulation, we investigate the performance of DMC systems, when the DMC systems experience both inter-symbol interference (ISI) and molecular noise. Our studies and performance results show that RRNS code constitutes a class of promising error-control codes, which facilitates DMC systems to achieve a good trade-off among coding rate, implementation complexity and reliability.","PeriodicalId":423073,"journal":{"name":"2018 10th International Conference on Wireless Communications and Signal Processing (WCSP)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128859325","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In the 5G communication systems, a hybrid approach to support polar codes for control plane and LDPC codes for data plane has been identified as the channel coding solution for enhanced mobile broadband (eMBB) scenario. One of the major challenges to implement this approach is to design powerful decoders at the terminal side. Inspired from a useful machine learning based polar decoder, we proposed a deep learning based unified polar-LDPC by concatenating an indicator section. Through numerical experiments, we show that the proposed deep neural network (DNN) based decoding architecture can achieve the similar decoding performance compared with the traditional BP-based decoding algorithm. Meanwhile, the proposed unified approach shares the same network architecture and parameters with isolated approaches, which saves significant implementation resources consequently.
{"title":"A Unified Deep Learning Based Polar-LDPC Decoder for 5G Communication Systems","authors":"Yaohan Wang, Zhichao Zhang, Shunqing Zhang, Shan Cao, Shugong Xu","doi":"10.1109/WCSP.2018.8555891","DOIUrl":"https://doi.org/10.1109/WCSP.2018.8555891","url":null,"abstract":"In the 5G communication systems, a hybrid approach to support polar codes for control plane and LDPC codes for data plane has been identified as the channel coding solution for enhanced mobile broadband (eMBB) scenario. One of the major challenges to implement this approach is to design powerful decoders at the terminal side. Inspired from a useful machine learning based polar decoder, we proposed a deep learning based unified polar-LDPC by concatenating an indicator section. Through numerical experiments, we show that the proposed deep neural network (DNN) based decoding architecture can achieve the similar decoding performance compared with the traditional BP-based decoding algorithm. Meanwhile, the proposed unified approach shares the same network architecture and parameters with isolated approaches, which saves significant implementation resources consequently.","PeriodicalId":423073,"journal":{"name":"2018 10th International Conference on Wireless Communications and Signal Processing (WCSP)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114466017","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-01DOI: 10.1109/WCSP.2018.8555580
Ahmed Al-Baidhani, M. Benaissa, Mikko Vehkaperä
In this paper, we investigate a new approach for simultaneous wireless information and power transfer (SWIPT) in point-to-point multiple-input multiple-output (MIMO) system with spatial switching (SS) reception. The new approach is based on the generalized triangular decomposition (GTD). The approach takes advantage of the GTD structure to allow the transmitter to use the strongest subchannel jointly for energy harvesting and information exchange while these transmissions can be separated at the receiver to comply with the SS system requirements. An optimal solution is developed in the paper for SWIPT based on GTD that jointly obtains the optimal subchannels assignment and maximizes the total data rate while meeting the minimum requirement of the harvested energy with limited total transmitted power. The theoretical and numerical results presented in this paper show that the proposed approach significantly outperforms the state of the art spatial domain SWIPT systems based on the singular value decomposition (SVD).
{"title":"Transceiver Design for Data Rate Maximization of MIMO SWIPT System Based on Generalized Triangular Decomposition","authors":"Ahmed Al-Baidhani, M. Benaissa, Mikko Vehkaperä","doi":"10.1109/WCSP.2018.8555580","DOIUrl":"https://doi.org/10.1109/WCSP.2018.8555580","url":null,"abstract":"In this paper, we investigate a new approach for simultaneous wireless information and power transfer (SWIPT) in point-to-point multiple-input multiple-output (MIMO) system with spatial switching (SS) reception. The new approach is based on the generalized triangular decomposition (GTD). The approach takes advantage of the GTD structure to allow the transmitter to use the strongest subchannel jointly for energy harvesting and information exchange while these transmissions can be separated at the receiver to comply with the SS system requirements. An optimal solution is developed in the paper for SWIPT based on GTD that jointly obtains the optimal subchannels assignment and maximizes the total data rate while meeting the minimum requirement of the harvested energy with limited total transmitted power. The theoretical and numerical results presented in this paper show that the proposed approach significantly outperforms the state of the art spatial domain SWIPT systems based on the singular value decomposition (SVD).","PeriodicalId":423073,"journal":{"name":"2018 10th International Conference on Wireless Communications and Signal Processing (WCSP)","volume":"145 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114599467","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-01DOI: 10.1109/WCSP.2018.8555862
Liu Zhou, Bowen Feng, J. Jiao, Kexin Liang, Shaohua Wu, Qinyu Zhang
Polar codes are proved to be able to theoretically achieve the Shannon limit. However, the performance of polar codes with short code length is not well in practice. One widely used method to improve the short length codes is concatenation. Recently, staircase coding structure provides an efficient concatenation scheme for finite length block codes, which the component block code can concatenate itself to improve the coding performance. Thus, in this paper, we propose a high-rate polar-staircase coding scheme with systematic polar codes as the component codes. The polar-staircase coding scheme can enhance the unreliable parts of the polar codes through the concatenation. To achieve the asymptotic performance, which is mainly depending on the decoding algorithms, three soft decoding algorithms are analyzed for our polar-staircase coding. We first investigate the conventional belief propagation (BP) decoding and soft cancellation (SCAN) decoding. The performance of the two algorithms is not well in the short length regime. Then, we adopt and optimize a soft successive cancellation list (SSCL) decoding algorithm for the polar-staircase codes with the tradeoff between reliability and complexity. Simulations show that the SSCL decoding outperforms than the other soft decoding algorithms over the AWGN channels.
{"title":"Performance Analysis of Soft Decoding Algorithms for Polar-Staircase Coding Scheme","authors":"Liu Zhou, Bowen Feng, J. Jiao, Kexin Liang, Shaohua Wu, Qinyu Zhang","doi":"10.1109/WCSP.2018.8555862","DOIUrl":"https://doi.org/10.1109/WCSP.2018.8555862","url":null,"abstract":"Polar codes are proved to be able to theoretically achieve the Shannon limit. However, the performance of polar codes with short code length is not well in practice. One widely used method to improve the short length codes is concatenation. Recently, staircase coding structure provides an efficient concatenation scheme for finite length block codes, which the component block code can concatenate itself to improve the coding performance. Thus, in this paper, we propose a high-rate polar-staircase coding scheme with systematic polar codes as the component codes. The polar-staircase coding scheme can enhance the unreliable parts of the polar codes through the concatenation. To achieve the asymptotic performance, which is mainly depending on the decoding algorithms, three soft decoding algorithms are analyzed for our polar-staircase coding. We first investigate the conventional belief propagation (BP) decoding and soft cancellation (SCAN) decoding. The performance of the two algorithms is not well in the short length regime. Then, we adopt and optimize a soft successive cancellation list (SSCL) decoding algorithm for the polar-staircase codes with the tradeoff between reliability and complexity. Simulations show that the SSCL decoding outperforms than the other soft decoding algorithms over the AWGN channels.","PeriodicalId":423073,"journal":{"name":"2018 10th International Conference on Wireless Communications and Signal Processing (WCSP)","volume":"650 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116475037","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-01DOI: 10.1109/WCSP.2018.8555708
Jiashun Hu, Zaichen Zhang, Liang Wu, J. Dang, Guanghao Zhu
In this paper, a high speed indoor polarization multiplexing quadrature phase shift keying optical wireless system with digital homodyne detection is designed and numerically analyzed. The closed-form expressions for bit-error rate performance, considering cross polarization interference and phase estimation errors, are derived, respectively. Numerical and Monte Carlo simulation results are presented.
{"title":"Performance Analysis of Indoor Polarization Multiplexing Coherent Optical Wireless Systems","authors":"Jiashun Hu, Zaichen Zhang, Liang Wu, J. Dang, Guanghao Zhu","doi":"10.1109/WCSP.2018.8555708","DOIUrl":"https://doi.org/10.1109/WCSP.2018.8555708","url":null,"abstract":"In this paper, a high speed indoor polarization multiplexing quadrature phase shift keying optical wireless system with digital homodyne detection is designed and numerically analyzed. The closed-form expressions for bit-error rate performance, considering cross polarization interference and phase estimation errors, are derived, respectively. Numerical and Monte Carlo simulation results are presented.","PeriodicalId":423073,"journal":{"name":"2018 10th International Conference on Wireless Communications and Signal Processing (WCSP)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123442119","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-01DOI: 10.1109/WCSP.2018.8555691
Guangchao Wang, Sheng Zhou, Z. Niu
In vehicular networks, safety-related applications require ultra high transmission reliability. An unmanned aerial vehicle (UAV) aided vehicular network is explored to enhance the reliability, where UAVs provide additional communication resources for vehicles. In this scenario, three communication modes are available for vehicles, i.e. vehicle to base station V2B, vehicle to vehicle V2V, and vehicle to UAV V2U. The transmission reliability highly depends on the selection of communication modes under different channel conditions and resource constraints, and thus the key issue is to appropriately select optimal communication modes to achieve the best reliability. In this paper, a mode selection approach based on evolutionary game is proposed in UAV-aided vehicular network, and an evolutionarily stable strategy is obtained. With the proposed algorithm, the proportion of vehicles in different communication modes can converge quickly to the evolutionary equilibrium where no vehicle has an incentive to change its communication mode. Numerical results show that our proposed algorithm exhibits a fast and controllable convergence and achieves higher transmission reliability with lower cost of resource utilization, compared with the selfish and random selection schemes.
{"title":"Mode Selection in UAV-aided Vehicular Network: an Evolutionary Game Approach","authors":"Guangchao Wang, Sheng Zhou, Z. Niu","doi":"10.1109/WCSP.2018.8555691","DOIUrl":"https://doi.org/10.1109/WCSP.2018.8555691","url":null,"abstract":"In vehicular networks, safety-related applications require ultra high transmission reliability. An unmanned aerial vehicle (UAV) aided vehicular network is explored to enhance the reliability, where UAVs provide additional communication resources for vehicles. In this scenario, three communication modes are available for vehicles, i.e. vehicle to base station V2B, vehicle to vehicle V2V, and vehicle to UAV V2U. The transmission reliability highly depends on the selection of communication modes under different channel conditions and resource constraints, and thus the key issue is to appropriately select optimal communication modes to achieve the best reliability. In this paper, a mode selection approach based on evolutionary game is proposed in UAV-aided vehicular network, and an evolutionarily stable strategy is obtained. With the proposed algorithm, the proportion of vehicles in different communication modes can converge quickly to the evolutionary equilibrium where no vehicle has an incentive to change its communication mode. Numerical results show that our proposed algorithm exhibits a fast and controllable convergence and achieves higher transmission reliability with lower cost of resource utilization, compared with the selfish and random selection schemes.","PeriodicalId":423073,"journal":{"name":"2018 10th International Conference on Wireless Communications and Signal Processing (WCSP)","volume":"174 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125996457","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-01DOI: 10.1109/WCSP.2018.8555605
Mi Yang, B. Ai, R. He, Liang Chen, Xue Li, Zefang Huang, Jianzhi Li, Chen Huang
In this paper, we focus on the analysis and modeling of path loss characteristics for vehicle-to-vehicle (V2V) communications with vehicle obstructions. A series of channel measurements were performed at 5.9 GHz in a typical urban scenario for V2V communications. In these measurements we subdivided into three types of test cases: non-obstruction, smallvehicle obstruction, and large-vehicle obstruction. Then the path loss and shadow fading components of the three cases are extracted, compared and analyzed. Based on the measurements, we show the influence of different types of vehicle obstruction on path loss and shadow fading characteristics. It is found that small-vehicle obstruction does not significantly affect the mean of path loss, and it leads to additional shadow fading of 3 dB. Large vehicle obstruction brings about 10 dB of additional path loss. Finally, a path loss model is proposed, which includes the influence of vehicle occlusion on path loss and employs the classical log-distance path loss formula. The results in the paper could be used for the performance analysis and system design of V2V communication.
{"title":"Path Loss Analysis and Modeling for Vehicle-to-Vehicle Communications with Vehicle Obstructions","authors":"Mi Yang, B. Ai, R. He, Liang Chen, Xue Li, Zefang Huang, Jianzhi Li, Chen Huang","doi":"10.1109/WCSP.2018.8555605","DOIUrl":"https://doi.org/10.1109/WCSP.2018.8555605","url":null,"abstract":"In this paper, we focus on the analysis and modeling of path loss characteristics for vehicle-to-vehicle (V2V) communications with vehicle obstructions. A series of channel measurements were performed at 5.9 GHz in a typical urban scenario for V2V communications. In these measurements we subdivided into three types of test cases: non-obstruction, smallvehicle obstruction, and large-vehicle obstruction. Then the path loss and shadow fading components of the three cases are extracted, compared and analyzed. Based on the measurements, we show the influence of different types of vehicle obstruction on path loss and shadow fading characteristics. It is found that small-vehicle obstruction does not significantly affect the mean of path loss, and it leads to additional shadow fading of 3 dB. Large vehicle obstruction brings about 10 dB of additional path loss. Finally, a path loss model is proposed, which includes the influence of vehicle occlusion on path loss and employs the classical log-distance path loss formula. The results in the paper could be used for the performance analysis and system design of V2V communication.","PeriodicalId":423073,"journal":{"name":"2018 10th International Conference on Wireless Communications and Signal Processing (WCSP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128971352","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-01DOI: 10.1109/WCSP.2018.8555635
Wenying Lei, Y. Meng, T. Yan, Guoyong Wang, Y. Wang, Lang Bian
An adaptive least mean fractional Lp-norm method for complex-valued channel estimation is put forward in this paper. This method utilizes the fractional Lp-norm of the instantaneous channel estimation error as the cost function to avoid the problem in the L1-norm least mean squares (LMS) penalized method that the sub gradient of the L1-norm of complex-valued channel coefficients is not well defined. The mathematical derivation and convergence analysis are carried out. Simulation results show that the proposed complex-valued sparse channel estimation method has faster convergence rate and smaller steady-state error than the complex LMS method. The channel equalizer estimated by the proposed method outperforms the one estimated by the complex LMS method.
{"title":"Complex-Valued Sparse Channel Estimation via Least Mean Fractional Lp-norm Method","authors":"Wenying Lei, Y. Meng, T. Yan, Guoyong Wang, Y. Wang, Lang Bian","doi":"10.1109/WCSP.2018.8555635","DOIUrl":"https://doi.org/10.1109/WCSP.2018.8555635","url":null,"abstract":"An adaptive least mean fractional Lp-norm method for complex-valued channel estimation is put forward in this paper. This method utilizes the fractional Lp-norm of the instantaneous channel estimation error as the cost function to avoid the problem in the L1-norm least mean squares (LMS) penalized method that the sub gradient of the L1-norm of complex-valued channel coefficients is not well defined. The mathematical derivation and convergence analysis are carried out. Simulation results show that the proposed complex-valued sparse channel estimation method has faster convergence rate and smaller steady-state error than the complex LMS method. The channel equalizer estimated by the proposed method outperforms the one estimated by the complex LMS method.","PeriodicalId":423073,"journal":{"name":"2018 10th International Conference on Wireless Communications and Signal Processing (WCSP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129014000","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-01DOI: 10.1109/WCSP.2018.8555849
Tianci Wang, G. Lu, Yuan Ren, Chan Lei
This paper investigates an energy-constrained two-way multiplicative amplify-and-forward (AF) relay network, where an energy harvesting model is equipped at the relay node to achieve simultaneous wireless information and power transfer (SWIPT). We design a joint power allocation and splitting (JoPAS) scheme by combining Dinkelbach with particle swarm optimization iterative algorithm. The relay adjusts the power allocation ratio and power splitting ratio, respectively, and realizes a current time trade-off between the harvested energy and the power of the retransmitted signal. Specifically, we formulate an optimization problem to maximize the outage throughput of considered system. Numerical results are given to verify a great deal of speculation, and show the superior outage throughput performance of the proposed scheme by comparing with peer strategy designed.
{"title":"Joint Power Allocation and Splitting for SWIPT Based Two-Way Multiplicative AF Relay Networks","authors":"Tianci Wang, G. Lu, Yuan Ren, Chan Lei","doi":"10.1109/WCSP.2018.8555849","DOIUrl":"https://doi.org/10.1109/WCSP.2018.8555849","url":null,"abstract":"This paper investigates an energy-constrained two-way multiplicative amplify-and-forward (AF) relay network, where an energy harvesting model is equipped at the relay node to achieve simultaneous wireless information and power transfer (SWIPT). We design a joint power allocation and splitting (JoPAS) scheme by combining Dinkelbach with particle swarm optimization iterative algorithm. The relay adjusts the power allocation ratio and power splitting ratio, respectively, and realizes a current time trade-off between the harvested energy and the power of the retransmitted signal. Specifically, we formulate an optimization problem to maximize the outage throughput of considered system. Numerical results are given to verify a great deal of speculation, and show the superior outage throughput performance of the proposed scheme by comparing with peer strategy designed.","PeriodicalId":423073,"journal":{"name":"2018 10th International Conference on Wireless Communications and Signal Processing (WCSP)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130675305","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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