Pub Date : 2019-09-01DOI: 10.1109/VTCFall.2019.8891410
Gehui Du, Luhan Wang, Qing Liao, Hao Hu
Cloud Radio Access Network (Cloud-RAN) is a promising network architecture for the next generation (5G) wireless communication. Despite the remarkable benefits on the capacity, the provision of power-efficient wireless resource management solution is still challenging. Cell sleeping control and cooperative beamforming design are considered as two enabling ways to address this issue. In this paper, we propose a novel Deep Neural Network (DNN) based approach to minimize the power consumption of network while satisfying the QoS demand by jointly designing the RRHs sleeping modes and beamforming weights inside a certain cell. The key idea of proposed DNN-based approach is to learn the non-linear mapping from channel coefficients to the optimal beamforming weights and the sleeping modes of multiple RRHs. Compared with the conventional numerical optimization schemes which require extensive iterations and result in considerable computational complexity and limited application in real-time processing, the proposed DNN-based approach enables the real-time cell sleeping control and beamforming optimization. Simulation results show that the DNN- based approach improve the energy efficiency significantly and calculative efficiency about three orders of magnitude.
{"title":"Deep Neural Network Based Cell Sleeping Control and Beamforming Optimization in Cloud-RAN","authors":"Gehui Du, Luhan Wang, Qing Liao, Hao Hu","doi":"10.1109/VTCFall.2019.8891410","DOIUrl":"https://doi.org/10.1109/VTCFall.2019.8891410","url":null,"abstract":"Cloud Radio Access Network (Cloud-RAN) is a promising network architecture for the next generation (5G) wireless communication. Despite the remarkable benefits on the capacity, the provision of power-efficient wireless resource management solution is still challenging. Cell sleeping control and cooperative beamforming design are considered as two enabling ways to address this issue. In this paper, we propose a novel Deep Neural Network (DNN) based approach to minimize the power consumption of network while satisfying the QoS demand by jointly designing the RRHs sleeping modes and beamforming weights inside a certain cell. The key idea of proposed DNN-based approach is to learn the non-linear mapping from channel coefficients to the optimal beamforming weights and the sleeping modes of multiple RRHs. Compared with the conventional numerical optimization schemes which require extensive iterations and result in considerable computational complexity and limited application in real-time processing, the proposed DNN-based approach enables the real-time cell sleeping control and beamforming optimization. Simulation results show that the DNN- based approach improve the energy efficiency significantly and calculative efficiency about three orders of magnitude.","PeriodicalId":6713,"journal":{"name":"2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73921518","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 : 2019-09-01DOI: 10.1109/VTCFall.2019.8891416
Simon Tewes, A. Ahmad, Jaber Kakar, U. M. Thanthrige, Stefan Roth, A. Sezgin
In this paper, we are concerned with indoor localization based on multiple-antenna channel measurements. Indoor localization is an active area of research due to its great importance in many applications. We propose a hybrid algorithm which combines the benefits of two techniques, namely signal processing and machine learning. We validate our algorithm based on real measurements acquired from two practical setups. Our approach shows a very promising performance in the IEEE CTW 2019 - Positioning Algorithm Competition where the algorithm achieves an accuracy within RMSE values below 10 cm. We further build a setup in another indoor environment, where the algorithm still proves a very good performance compared to state-of-the art techniques used in indoor localization tasks.
{"title":"Ensemble-Based Learning in Indoor Localization: A Hybrid Approach","authors":"Simon Tewes, A. Ahmad, Jaber Kakar, U. M. Thanthrige, Stefan Roth, A. Sezgin","doi":"10.1109/VTCFall.2019.8891416","DOIUrl":"https://doi.org/10.1109/VTCFall.2019.8891416","url":null,"abstract":"In this paper, we are concerned with indoor localization based on multiple-antenna channel measurements. Indoor localization is an active area of research due to its great importance in many applications. We propose a hybrid algorithm which combines the benefits of two techniques, namely signal processing and machine learning. We validate our algorithm based on real measurements acquired from two practical setups. Our approach shows a very promising performance in the IEEE CTW 2019 - Positioning Algorithm Competition where the algorithm achieves an accuracy within RMSE values below 10 cm. We further build a setup in another indoor environment, where the algorithm still proves a very good performance compared to state-of-the art techniques used in indoor localization tasks.","PeriodicalId":6713,"journal":{"name":"2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74390852","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 : 2019-09-01DOI: 10.1109/VTCFall.2019.8891451
Daniel F. S. Fernandes, Gabriel Soares, Diogo J. A. Clemente, Rodrigo Cortesão, P. Sebastião, F. Cercas, R. Dinis, L. Ferreira
In radio access network planning and optimisation, the estimation and evaluation of cell coverage is crucial. For it, operators use several methodologies, ranging from theoretical propagation models for planning cell coverage, to drive test measurements for evaluating the performance within a cell. A novel propagation model is proposed which combines drive test measurements, cell reach statistics, antenna radiation patterns, terrain morphologies, and classical theoretical propagation models. Considering a realistic scenario of an LTE cell, the use of a classical propagation model such as Walfish- Ikegami results in an average error of -27 dB of estimations with respect to measurements, evidencing a pessimistic estimation of signal. By opposition, the proposed model fits with DT measurements.
{"title":"Combining Measurements and Propagation Models for Estimation of Coverage in Wireless Networks","authors":"Daniel F. S. Fernandes, Gabriel Soares, Diogo J. A. Clemente, Rodrigo Cortesão, P. Sebastião, F. Cercas, R. Dinis, L. Ferreira","doi":"10.1109/VTCFall.2019.8891451","DOIUrl":"https://doi.org/10.1109/VTCFall.2019.8891451","url":null,"abstract":"In radio access network planning and optimisation, the estimation and evaluation of cell coverage is crucial. For it, operators use several methodologies, ranging from theoretical propagation models for planning cell coverage, to drive test measurements for evaluating the performance within a cell. A novel propagation model is proposed which combines drive test measurements, cell reach statistics, antenna radiation patterns, terrain morphologies, and classical theoretical propagation models. Considering a realistic scenario of an LTE cell, the use of a classical propagation model such as Walfish- Ikegami results in an average error of -27 dB of estimations with respect to measurements, evidencing a pessimistic estimation of signal. By opposition, the proposed model fits with DT measurements.","PeriodicalId":6713,"journal":{"name":"2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74539000","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 : 2019-09-01DOI: 10.1109/VTCFall.2019.8891277
David W. King, Gilbert L. Peterson
Pursuit and evasion game related tasks are one application area envisioned for future multi- vehicle Unmanned Aircraft systems (UAs). Pursuit and evasion games relate to tasks such as search and rescue operations, surveillance, and search and capture missions. They include two sub-tasks of finding evaders and then capturing them. Because there are two sub-tasks, there are different roles that each pursuer must take on during the game. This paper examines the amount of communication required to determine what role each UAs pursuer should take to achieve a quick location and capture of the evader. Results demonstrate that more robust internal control strategies offset role communication when the communications become limited.
{"title":"Decentralized Control Strategies for Unmanned Aircraft System Pursuit and Evasion","authors":"David W. King, Gilbert L. Peterson","doi":"10.1109/VTCFall.2019.8891277","DOIUrl":"https://doi.org/10.1109/VTCFall.2019.8891277","url":null,"abstract":"Pursuit and evasion game related tasks are one application area envisioned for future multi- vehicle Unmanned Aircraft systems (UAs). Pursuit and evasion games relate to tasks such as search and rescue operations, surveillance, and search and capture missions. They include two sub-tasks of finding evaders and then capturing them. Because there are two sub-tasks, there are different roles that each pursuer must take on during the game. This paper examines the amount of communication required to determine what role each UAs pursuer should take to achieve a quick location and capture of the evader. Results demonstrate that more robust internal control strategies offset role communication when the communications become limited.","PeriodicalId":6713,"journal":{"name":"2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74646637","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 : 2019-09-01DOI: 10.1109/VTCFall.2019.8891553
P. E. G. Silva, R. A. Souza, M. Yacoub, D. B. D. Costa, J. M. Moualeu
In this paper, the error performance of binary and quaternary phase-shift keying signals with imperfect carrier phase recovery is investigated assuming a flat slow î±-î fading channel and the presence of thermal noise. The phase noise is considered to be Tikhonov and Gaussian distributed. More specifically, an analytical expression for the exact average bit error rate is obtained, as well as its corresponding asymptotic expression for large signal-to-noise ratio (SNR) values. The derived expressions are valid for arbitrary values of the fading parameters, namely î± and î, and they are validated through Monte Carlo simulations. Several important conclusions concerning the system performance as a function of the channel parameters, namely, non-linearity, clustering, and loop SNR, are drawn.
{"title":"Error Probability of alpha-µ Fading Channels with Imperfect Carrier Phase Recovery","authors":"P. E. G. Silva, R. A. Souza, M. Yacoub, D. B. D. Costa, J. M. Moualeu","doi":"10.1109/VTCFall.2019.8891553","DOIUrl":"https://doi.org/10.1109/VTCFall.2019.8891553","url":null,"abstract":"In this paper, the error performance of binary and quaternary phase-shift keying signals with imperfect carrier phase recovery is investigated assuming a flat slow î±-î fading channel and the presence of thermal noise. The phase noise is considered to be Tikhonov and Gaussian distributed. More specifically, an analytical expression for the exact average bit error rate is obtained, as well as its corresponding asymptotic expression for large signal-to-noise ratio (SNR) values. The derived expressions are valid for arbitrary values of the fading parameters, namely î± and î, and they are validated through Monte Carlo simulations. Several important conclusions concerning the system performance as a function of the channel parameters, namely, non-linearity, clustering, and loop SNR, are drawn.","PeriodicalId":6713,"journal":{"name":"2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75478545","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 this study, a deep reinforcement learning (DRL) method was employed to solve the joint optimization problem for user association, resource allocation, and power allocation in heterogeneous networks (HetNets), which is an NP-hard problem. Existing studies have taken various optimization objectives into account. The heterogeneous network-deep-Q- network frame-work (HetDQN) is proposed to solve this type of optimization problem in HetNets. Based on maximum spectral efficiency, we designed a 6- layer deep neural network. The state space, objective function, and reward function are presented. In comparison with the existing solution, HetDQN can achieve a higher spectral efficiency. The simulation results revealed that HetDQN has better performance in term of convergence.
{"title":"Deep Reinforcement Learning Framework for Joint Resource Allocation in Heterogeneous Networks","authors":"Yong Zhang, Canping Kang, Yinglei Teng, Sisi Li, Weijun Zheng, Jinghui Fang","doi":"10.1109/VTCFall.2019.8891448","DOIUrl":"https://doi.org/10.1109/VTCFall.2019.8891448","url":null,"abstract":"In this study, a deep reinforcement learning (DRL) method was employed to solve the joint optimization problem for user association, resource allocation, and power allocation in heterogeneous networks (HetNets), which is an NP-hard problem. Existing studies have taken various optimization objectives into account. The heterogeneous network-deep-Q- network frame-work (HetDQN) is proposed to solve this type of optimization problem in HetNets. Based on maximum spectral efficiency, we designed a 6- layer deep neural network. The state space, objective function, and reward function are presented. In comparison with the existing solution, HetDQN can achieve a higher spectral efficiency. The simulation results revealed that HetDQN has better performance in term of convergence.","PeriodicalId":6713,"journal":{"name":"2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75539255","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 : 2019-09-01DOI: 10.1109/VTCFall.2019.8891250
Priyashraba Misra, V. Kulathumani
The focus of this paper is on designing a robust information dissemination protocol for Vehicular Ad-Hoc Networks (VANETs) that works across a broad range of application scenarios by dynamically adapting its parameters and transmission strategy to specific information requirements and traffic conditions. Applications of V2V communication can be broadly classified as safety, navigation and environmental efficiency. Safety applications require high frequency and high precision messages at short range (500m) within a single communication hop, navigation applications need low frequency and lower precision information at medium range (1500m/1 mile) and long range aggregate information (10000m/6 miles) can be used for enhancing environmental efficiency and routing. While network protocols for each of these applications have been individually studied, there is scope to study their behavior when they coexist in the network. It is important that the quality of one hop safety messages is not sacrificed when long range communication is introduced. RoAdNet enables long range information dissemination, while maintaining high data.
{"title":"RoAdNet: A Multi-Resolution Transmission Strategy for Long Range Information Diffusion in VANETs","authors":"Priyashraba Misra, V. Kulathumani","doi":"10.1109/VTCFall.2019.8891250","DOIUrl":"https://doi.org/10.1109/VTCFall.2019.8891250","url":null,"abstract":"The focus of this paper is on designing a robust information dissemination protocol for Vehicular Ad-Hoc Networks (VANETs) that works across a broad range of application scenarios by dynamically adapting its parameters and transmission strategy to specific information requirements and traffic conditions. Applications of V2V communication can be broadly classified as safety, navigation and environmental efficiency. Safety applications require high frequency and high precision messages at short range (500m) within a single communication hop, navigation applications need low frequency and lower precision information at medium range (1500m/1 mile) and long range aggregate information (10000m/6 miles) can be used for enhancing environmental efficiency and routing. While network protocols for each of these applications have been individually studied, there is scope to study their behavior when they coexist in the network. It is important that the quality of one hop safety messages is not sacrificed when long range communication is introduced. RoAdNet enables long range information dissemination, while maintaining high data.","PeriodicalId":6713,"journal":{"name":"2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75688617","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 : 2019-09-01DOI: 10.1109/VTCFall.2019.8891566
Mohamed Ali Soliman, A. Mehana, M. Nafie
Massive MIMO relay system promises large spectral and energy efficiencies. It also allows admitting more users in the network with controlled quality of service. In this paper, we seek the answer of the following question: what is the maximum number of users that can be admitted in a two-way relay network with massive number of antennas at the relay side and subject to a minimum quality of service at the user side? In order to answer this question, we develop lower bound on the achievable user rate which we then use to bound the maximum number of the admissible users.We also study the effect of the non orthogonality of the pilot sequences on the user capacity in a small cell (dense) network and propose an interference mitigation scheme which improves the spectral efficiency. It is shown that large number of users can coexist using the proposed scheme.
{"title":"Users Capacity Upper Bound of Multi-Pair Massive MIMO AF Relay System under Pilot Contamination","authors":"Mohamed Ali Soliman, A. Mehana, M. Nafie","doi":"10.1109/VTCFall.2019.8891566","DOIUrl":"https://doi.org/10.1109/VTCFall.2019.8891566","url":null,"abstract":"Massive MIMO relay system promises large spectral and energy efficiencies. It also allows admitting more users in the network with controlled quality of service. In this paper, we seek the answer of the following question: what is the maximum number of users that can be admitted in a two-way relay network with massive number of antennas at the relay side and subject to a minimum quality of service at the user side? In order to answer this question, we develop lower bound on the achievable user rate which we then use to bound the maximum number of the admissible users.We also study the effect of the non orthogonality of the pilot sequences on the user capacity in a small cell (dense) network and propose an interference mitigation scheme which improves the spectral efficiency. It is shown that large number of users can coexist using the proposed scheme.","PeriodicalId":6713,"journal":{"name":"2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74236531","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 : 2019-09-01DOI: 10.1109/VTCFall.2019.8891571
Alex Minetto, Gianluca Falco, F. Dovis
In the last decades, several positioning and navigation algorithms have been developed to enhance vehicular localization capabilities. Thanks to ad-hoc communication networks, the exchange of navigation data and positioning solutions has been exploited to the purpose. This trend has recently suggested the extension of state-of-the art navigation algorithms to the hybridization of independent heterogeneous measurements within collaborative frameworks. In this paper an integration paradigm based on the combination of Global Navigation Satellite System (GNSS) observable measurements is analysed. In this work, a comparison among legacy Extended Kalman Filter (EKF) and a suboptimal Particle Filter (s-PF) is proposed. First we show that under the same assumptions in non-collaborative framework the s-PF easily overcome EKF performances at the cost of a higher computational cost. On the contrary, by analysing a realistic scenario in which a target agent is aided by a set of collaborating peers we showed that a hybridized EKF implementation allows reaching and overcome PF performance at the only expense of network connectivity among few GNSS receivers, while the proposed integration induces minor benefits for an efficient s-PF.
{"title":"On the Trade-Off between Computational Complexity and Collaborative GNSS Hybridization","authors":"Alex Minetto, Gianluca Falco, F. Dovis","doi":"10.1109/VTCFall.2019.8891571","DOIUrl":"https://doi.org/10.1109/VTCFall.2019.8891571","url":null,"abstract":"In the last decades, several positioning and navigation algorithms have been developed to enhance vehicular localization capabilities. Thanks to ad-hoc communication networks, the exchange of navigation data and positioning solutions has been exploited to the purpose. This trend has recently suggested the extension of state-of-the art navigation algorithms to the hybridization of independent heterogeneous measurements within collaborative frameworks. In this paper an integration paradigm based on the combination of Global Navigation Satellite System (GNSS) observable measurements is analysed. In this work, a comparison among legacy Extended Kalman Filter (EKF) and a suboptimal Particle Filter (s-PF) is proposed. First we show that under the same assumptions in non-collaborative framework the s-PF easily overcome EKF performances at the cost of a higher computational cost. On the contrary, by analysing a realistic scenario in which a target agent is aided by a set of collaborating peers we showed that a hybridized EKF implementation allows reaching and overcome PF performance at the only expense of network connectivity among few GNSS receivers, while the proposed integration induces minor benefits for an efficient s-PF.","PeriodicalId":6713,"journal":{"name":"2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74263998","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 : 2019-09-01DOI: 10.1109/VTCFall.2019.8891129
T. Ishihara, S. Sugiura
This paper proposes a precoded faster-than-Nyquist (FTN) signaling scheme based on singular-value decomposition (SVD) with optimal power allocation. An information-theoretic analysis is conducted on the proposed SVD-precoded FTN signaling architecture. Analytical performance results demonstrate that the proposed optimal scheme outperforms its conventional Nyquist-criterion- based counterpart and the conventional SVD- precoded FTN signaling scheme, which does not use power allocation. In order to overcome the limitations associated with significantly low singular values, suboptimal truncated power allocation is incorporated.
{"title":"Optimal and Suboptimal Power Allocation for SVD-Precoded Faster-than-Nyquist Signaling","authors":"T. Ishihara, S. Sugiura","doi":"10.1109/VTCFall.2019.8891129","DOIUrl":"https://doi.org/10.1109/VTCFall.2019.8891129","url":null,"abstract":"This paper proposes a precoded faster-than-Nyquist (FTN) signaling scheme based on singular-value decomposition (SVD) with optimal power allocation. An information-theoretic analysis is conducted on the proposed SVD-precoded FTN signaling architecture. Analytical performance results demonstrate that the proposed optimal scheme outperforms its conventional Nyquist-criterion- based counterpart and the conventional SVD- precoded FTN signaling scheme, which does not use power allocation. In order to overcome the limitations associated with significantly low singular values, suboptimal truncated power allocation is incorporated.","PeriodicalId":6713,"journal":{"name":"2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78854364","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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