Pub Date : 2018-08-01DOI: 10.1109/ISWCS.2018.8491227
S. Pfletschinger, M. Navarro
In this paper, we establish a simple model for the exchange of messages in a vehicular network and we consider fundamental limits on the achievable data rate. For a vehicular network, the exchange of data with other nearby vehicles is particularly important for traffic safety, e.g. for collision avoidance, but also for cooperative applications like platooning. These use cases are currently addressed by standards building on IEEE 802.11p, namely ITS-G5 and DSRC (dedicated short range communication), which encounter saturation problems at high vehicle densities. For this reason, we take a step back and ask for the fundamental limits for the common data rate in a vehicular network. After defining a simple single-lane model and the corresponding capacity limits for some basic multiple-access schemes, we present results for a more realistic setting. For both scenarios, non-orthogonal multiple-access (NOMA) yields the best results.
{"title":"Non-Orthogonal Multiple Access for Vehicular Communication","authors":"S. Pfletschinger, M. Navarro","doi":"10.1109/ISWCS.2018.8491227","DOIUrl":"https://doi.org/10.1109/ISWCS.2018.8491227","url":null,"abstract":"In this paper, we establish a simple model for the exchange of messages in a vehicular network and we consider fundamental limits on the achievable data rate. For a vehicular network, the exchange of data with other nearby vehicles is particularly important for traffic safety, e.g. for collision avoidance, but also for cooperative applications like platooning. These use cases are currently addressed by standards building on IEEE 802.11p, namely ITS-G5 and DSRC (dedicated short range communication), which encounter saturation problems at high vehicle densities. For this reason, we take a step back and ask for the fundamental limits for the common data rate in a vehicular network. After defining a simple single-lane model and the corresponding capacity limits for some basic multiple-access schemes, we present results for a more realistic setting. For both scenarios, non-orthogonal multiple-access (NOMA) yields the best results.","PeriodicalId":272951,"journal":{"name":"2018 15th International Symposium on Wireless Communication Systems (ISWCS)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131533765","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 : 2018-08-01DOI: 10.1109/ISWCS.2018.8491222
S. Moghaddamnia, Martin Fuhrwerk, J. Peissig
One of the key issues of Digital Radio Mondiale (DRM) is green broadcasting. For wide area coverage, the use of high-power transmitters is essential. However, the applied transmission technology based on Orthogonal Frequency Division Multiplexing (OFDM) results in non-linearities in the emitted signal, low power efficiency, and high costs of transmitters. Digital predistortion is a promising scheme for power amplifier (PA) linearization. This paper presents an efficient approach to estimate the parameters of a digital predistorter based on adaptive filtering with direct learning architecture (DLA). A well-known algorithm for identifying and tracking the time-varying parameters of an unknown system is the recursive least squares (RLS) method with exponential/directional forgetting. In this paper, the efficiency of both exponential/directional forgetting techniques is investigated for different degrees of PA nonlinearities. On this basis, a new hybrid technique based on statistical properties of the PA input signal is proposed. The evaluation results show that for both scenarios, the statistic-based forgetting technique not only provides better accuracy but also is more robust against high PA nonlinearities.
{"title":"Use of Statistical Signal Properties for Adaptive Predistortion of High Power Amplifiers","authors":"S. Moghaddamnia, Martin Fuhrwerk, J. Peissig","doi":"10.1109/ISWCS.2018.8491222","DOIUrl":"https://doi.org/10.1109/ISWCS.2018.8491222","url":null,"abstract":"One of the key issues of Digital Radio Mondiale (DRM) is green broadcasting. For wide area coverage, the use of high-power transmitters is essential. However, the applied transmission technology based on Orthogonal Frequency Division Multiplexing (OFDM) results in non-linearities in the emitted signal, low power efficiency, and high costs of transmitters. Digital predistortion is a promising scheme for power amplifier (PA) linearization. This paper presents an efficient approach to estimate the parameters of a digital predistorter based on adaptive filtering with direct learning architecture (DLA). A well-known algorithm for identifying and tracking the time-varying parameters of an unknown system is the recursive least squares (RLS) method with exponential/directional forgetting. In this paper, the efficiency of both exponential/directional forgetting techniques is investigated for different degrees of PA nonlinearities. On this basis, a new hybrid technique based on statistical properties of the PA input signal is proposed. The evaluation results show that for both scenarios, the statistic-based forgetting technique not only provides better accuracy but also is more robust against high PA nonlinearities.","PeriodicalId":272951,"journal":{"name":"2018 15th International Symposium on Wireless Communication Systems (ISWCS)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128110578","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 : 2018-08-01DOI: 10.1109/ISWCS.2018.8491084
A. Shapin, Kittipong Kittichokechai, Niklas Andgart, Mårten Sundberg, Gustav Wikström
Ultra-reliable low latency communication (URLLC) is one of the new main use cases of 5G to be supported by both New Radio (NR) and Long Term Evolution (LTE) technologies. In the paper, latency and reliability of NR and LTE are studied to estimate expected URLLC performance on the physical layer. The simplified performance estimation model is used to evaluate the overall reliability combining results from different physical channels. The results show that both NR and LTE can fulfill URLLC reliability requirements with different transmission configurations and thereby at a cost of different spectral efficiencies.
{"title":"Physical Layer Performance for Low Latency and High Reliability in 5G","authors":"A. Shapin, Kittipong Kittichokechai, Niklas Andgart, Mårten Sundberg, Gustav Wikström","doi":"10.1109/ISWCS.2018.8491084","DOIUrl":"https://doi.org/10.1109/ISWCS.2018.8491084","url":null,"abstract":"Ultra-reliable low latency communication (URLLC) is one of the new main use cases of 5G to be supported by both New Radio (NR) and Long Term Evolution (LTE) technologies. In the paper, latency and reliability of NR and LTE are studied to estimate expected URLLC performance on the physical layer. The simplified performance estimation model is used to evaluate the overall reliability combining results from different physical channels. The results show that both NR and LTE can fulfill URLLC reliability requirements with different transmission configurations and thereby at a cost of different spectral efficiencies.","PeriodicalId":272951,"journal":{"name":"2018 15th International Symposium on Wireless Communication Systems (ISWCS)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115727543","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 : 2018-08-01DOI: 10.1109/ISWCS.2018.8491063
Z. Shao, R. Lamare, L. Landau
In this paper, we investigate adaptive channel estimation and linear interference mitigation for the uplink of large-scale antenna systems with I-bit analog-to-digital converters on each receive antenna. A novel low-resolution aware least-mean square channel estimation algorithm is proposed based on the low-complexity stochastic gradient descent method. Moreover, we also develop an algorithm for adaptively adjusting the parameters of the receive filter that performs mitigation of multiuser interference. In order to further improve the system performance, the proposed linear receiver is incorporated in an iterative detection and decoding scheme using short block length low-density parity-check codes. Simulation results show very good performance of the system in terms of mean square error and bit error rate.
{"title":"Adaptive Channel Estimation and Interference Mitigation for Large-Scale MIMO Systems with 1-Bit ADCs","authors":"Z. Shao, R. Lamare, L. Landau","doi":"10.1109/ISWCS.2018.8491063","DOIUrl":"https://doi.org/10.1109/ISWCS.2018.8491063","url":null,"abstract":"In this paper, we investigate adaptive channel estimation and linear interference mitigation for the uplink of large-scale antenna systems with I-bit analog-to-digital converters on each receive antenna. A novel low-resolution aware least-mean square channel estimation algorithm is proposed based on the low-complexity stochastic gradient descent method. Moreover, we also develop an algorithm for adaptively adjusting the parameters of the receive filter that performs mitigation of multiuser interference. In order to further improve the system performance, the proposed linear receiver is incorporated in an iterative detection and decoding scheme using short block length low-density parity-check codes. Simulation results show very good performance of the system in terms of mean square error and bit error rate.","PeriodicalId":272951,"journal":{"name":"2018 15th International Symposium on Wireless Communication Systems (ISWCS)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114731130","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 : 2018-08-01DOI: 10.1109/ISWCS.2018.8491209
Paul de Kerret, D. Gesbert
Using Deep Neural Networks (DNNs) to tackle socalled Team Decision problems where the nodes aim at maximizing an expected common utility on the basis of different individual observations without any additional communications was recently introduced in a previous work and illustrated in the simple case of decentralized scheduling. In this work11D. Gesbert and P. de Kerret are supported by the European Research Council under the European Union's Horizon 2020 research and innovation program (Agreement no. 670896)., we apply this idea to design a decentralized robust precoding scheme in a Network MIMO configuration, which appears as a more challenging setting due to the continuous decision space and the required fine granularity of the precoding, in particular at high SNR. While the application remains fundamentally decentralized due to the decentralized nature of the channel state information (CSI), the training is done jointly. This is possible thanks to the common knowledge of the statistics (or equivalently the training data set) at all cooperating TXs. The joint training is done directly with respect to the desired figure-of-merit such that there is no need to generate labels using another method, and the precoding scheme obtained from the training does not only replicate a known scheme but is able to outperform state-of-the-art methods, as illustrated by simulations.
使用深度神经网络(dnn)来解决所谓的团队决策问题，其中节点的目标是在不同个人观察的基础上最大化预期的共同效用，而无需任何额外的通信，最近在之前的工作中介绍过，并在分散调度的简单案例中进行了说明。解析:选d。Gesbert和P. de Kerret由欧洲研究理事会根据欧盟的“地平线2020”研究和创新计划(协议号:670896)。，我们应用这一思想在网络MIMO配置中设计了一个分散的鲁棒预编码方案，由于连续的决策空间和预编码所需的细粒度，特别是在高信噪比下，这似乎是一个更具挑战性的设置。虽然由于通道状态信息(CSI)的去中心化特性，应用程序基本上保持去中心化，但训练是联合完成的。这是可能的，这要归功于所有协作TXs的统计数据(或等效的训练数据集)的共同知识。联合训练是直接针对期望的性能值进行的，这样就不需要使用另一种方法生成标签，并且从训练中获得的预编码方案不仅复制已知方案，而且能够优于最先进的方法，如模拟所示。
{"title":"Robust Decentralized Joint Precoding using Team Deep Neural Network","authors":"Paul de Kerret, D. Gesbert","doi":"10.1109/ISWCS.2018.8491209","DOIUrl":"https://doi.org/10.1109/ISWCS.2018.8491209","url":null,"abstract":"Using Deep Neural Networks (DNNs) to tackle socalled Team Decision problems where the nodes aim at maximizing an expected common utility on the basis of different individual observations without any additional communications was recently introduced in a previous work and illustrated in the simple case of decentralized scheduling. In this work11D. Gesbert and P. de Kerret are supported by the European Research Council under the European Union's Horizon 2020 research and innovation program (Agreement no. 670896)., we apply this idea to design a decentralized robust precoding scheme in a Network MIMO configuration, which appears as a more challenging setting due to the continuous decision space and the required fine granularity of the precoding, in particular at high SNR. While the application remains fundamentally decentralized due to the decentralized nature of the channel state information (CSI), the training is done jointly. This is possible thanks to the common knowledge of the statistics (or equivalently the training data set) at all cooperating TXs. The joint training is done directly with respect to the desired figure-of-merit such that there is no need to generate labels using another method, and the precoding scheme obtained from the training does not only replicate a known scheme but is able to outperform state-of-the-art methods, as illustrated by simulations.","PeriodicalId":272951,"journal":{"name":"2018 15th International Symposium on Wireless Communication Systems (ISWCS)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123283555","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 : 2018-08-01DOI: 10.1109/ISWCS.2018.8491092
Bin Wang, Yongyu Chang, Minshan Xiang, Jingzhou Wu
Massive multiple-input multiple-output (MIMO) wireless communication refers to the idea equipping transmitters with a very large number of antennas, and has been shown to potentially allow for orders of magnitude improvement in spectral and energy efficiency by using relatively simple (linear) processing. In a multi-user MIMO (MU-MIMO) spatial multiplexing scheme, multiple users are scheduled in the same resource block (RB). In 3GPP Long Term Evolution (LTE) systems, single user MIMO (SU-MIMO) rank one precoding based channel quality indicator (CQI) reporting mechanism is reused for MU-MIMO. This is optimum for MU-MIMO if single user is served. This paper is to get an insight of the multi user CQI prediction. A method to estimate the multi user CQI from the reported rank 1 single user CQI is proposed for the space division multiple access (SDMA) mode and zero-forcing (ZF) precoding. Simulation results illustrate that the derived asymptotic value of the MU-MIMO CQI is very close to the real value of that.
{"title":"A Multiuser CQI Prediction Scheme with Channel Estimation Error in the Massive MIMO Networks","authors":"Bin Wang, Yongyu Chang, Minshan Xiang, Jingzhou Wu","doi":"10.1109/ISWCS.2018.8491092","DOIUrl":"https://doi.org/10.1109/ISWCS.2018.8491092","url":null,"abstract":"Massive multiple-input multiple-output (MIMO) wireless communication refers to the idea equipping transmitters with a very large number of antennas, and has been shown to potentially allow for orders of magnitude improvement in spectral and energy efficiency by using relatively simple (linear) processing. In a multi-user MIMO (MU-MIMO) spatial multiplexing scheme, multiple users are scheduled in the same resource block (RB). In 3GPP Long Term Evolution (LTE) systems, single user MIMO (SU-MIMO) rank one precoding based channel quality indicator (CQI) reporting mechanism is reused for MU-MIMO. This is optimum for MU-MIMO if single user is served. This paper is to get an insight of the multi user CQI prediction. A method to estimate the multi user CQI from the reported rank 1 single user CQI is proposed for the space division multiple access (SDMA) mode and zero-forcing (ZF) precoding. Simulation results illustrate that the derived asymptotic value of the MU-MIMO CQI is very close to the real value of that.","PeriodicalId":272951,"journal":{"name":"2018 15th International Symposium on Wireless Communication Systems (ISWCS)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122173935","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 : 2018-08-01DOI: 10.1109/ISWCS.2018.8491203
A. Hoeller, R. Souza, O. A. López, H. Alves, M. Noronha-Neto, G. Brante
LoRA networks have been gaining momentum as an accessible and open solution for massive connectivity in the Internet-of- Things. Besides the popularity, however, academic research has shown that the technology has limitations. In particular to the connectivity argument, it became clear that massive coverage comes at the price of severely reduced duty cycles, and the increased number of users in the network significantly elevates packet loss due to collisions. In this paper, we exploit time diversity to increase the probability of successful packet delivery in LoRA uplink. We build on previous work to model the outage and coverage probabilities of LoRA channels and analyze the use of message replication to create signal diversity. We observed that there is an optimum number of message replicas that minimizes outage probability and avoids high collision probability. We validate the proposed model using numerical simulations.
{"title":"Exploiting Time Diversity of LoRa Networks Through Optimum Message Replication","authors":"A. Hoeller, R. Souza, O. A. López, H. Alves, M. Noronha-Neto, G. Brante","doi":"10.1109/ISWCS.2018.8491203","DOIUrl":"https://doi.org/10.1109/ISWCS.2018.8491203","url":null,"abstract":"LoRA networks have been gaining momentum as an accessible and open solution for massive connectivity in the Internet-of- Things. Besides the popularity, however, academic research has shown that the technology has limitations. In particular to the connectivity argument, it became clear that massive coverage comes at the price of severely reduced duty cycles, and the increased number of users in the network significantly elevates packet loss due to collisions. In this paper, we exploit time diversity to increase the probability of successful packet delivery in LoRA uplink. We build on previous work to model the outage and coverage probabilities of LoRA channels and analyze the use of message replication to create signal diversity. We observed that there is an optimum number of message replicas that minimizes outage probability and avoids high collision probability. We validate the proposed model using numerical simulations.","PeriodicalId":272951,"journal":{"name":"2018 15th International Symposium on Wireless Communication Systems (ISWCS)","volume":"144 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122808287","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 : 2018-08-01DOI: 10.1109/ISWCS.2018.8491046
A. Duarte, J. Cal-Braz, R. Neto
This work focuses on precoded multiuser MIMO systems with index modulated signal vectors. That means that only certain positions in the signal vectors transmitted to the users contain information symbols (Information Bearing Positions- Ibp)and the particular IBP pattern represents part of the information conveyed to each user. Here we describe systems based on two precoders: Zero Forcing (ZF) and Block Diagonalization (BD) and propose procedures to optimize the choice by the base station of the indexes of the information bearing positions in the transmitted signal vectors (IBP encoding) aiming at improving detection performance. Additional requirements for the considered ZF and BD based systems such as receiver notification and channel estimation are addressed. Numerical results illustrate the resulting bit error rate for both precoders, the influence of the system parameters on the system performance and the performance gain obtained with the proposed IBP encoding optimization procedures,
{"title":"Index Encoding for GPSM Multiuser MIMO Communication","authors":"A. Duarte, J. Cal-Braz, R. Neto","doi":"10.1109/ISWCS.2018.8491046","DOIUrl":"https://doi.org/10.1109/ISWCS.2018.8491046","url":null,"abstract":"This work focuses on precoded multiuser MIMO systems with index modulated signal vectors. That means that only certain positions in the signal vectors transmitted to the users contain information symbols (Information Bearing Positions- Ibp)and the particular IBP pattern represents part of the information conveyed to each user. Here we describe systems based on two precoders: Zero Forcing (ZF) and Block Diagonalization (BD) and propose procedures to optimize the choice by the base station of the indexes of the information bearing positions in the transmitted signal vectors (IBP encoding) aiming at improving detection performance. Additional requirements for the considered ZF and BD based systems such as receiver notification and channel estimation are addressed. Numerical results illustrate the resulting bit error rate for both precoders, the influence of the system parameters on the system performance and the performance gain obtained with the proposed IBP encoding optimization procedures,","PeriodicalId":272951,"journal":{"name":"2018 15th International Symposium on Wireless Communication Systems (ISWCS)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130774407","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 : 2018-08-01DOI: 10.1109/iswcs.2018.8491074
M.N. de Sousa, R. Thoma
{"title":"Single Sensor RF Emitter Location Using Ray Tracing Multipath Exploitation","authors":"M.N. de Sousa, R. Thoma","doi":"10.1109/iswcs.2018.8491074","DOIUrl":"https://doi.org/10.1109/iswcs.2018.8491074","url":null,"abstract":"","PeriodicalId":272951,"journal":{"name":"2018 15th International Symposium on Wireless Communication Systems (ISWCS)","volume":"49 10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120898449","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 : 2018-08-01DOI: 10.1109/ISWCS.2018.8491041
Xinyi Wang, Fangfang Liu, Chunyan Feng
Self-interference cancellation is critical in full duplex networks and its mitigation capability is limited mainly due to the phase noise caused by imperfect local oscillators. In this paper, a novel self-interference cancellation scheme in spatial-polarized domain is analyzed for full duplex systems. In spatial-polarized domain, spatially isolated polarized antennas are used to transport signals based on the polarized system and signal models. Then the SI is cancelled by polarization processing with the rebuilt SI signal. Theoretical analysis and simulation show that the proposed scheme can mitigate the effect of phase noise on SI cancellation, and improve data rate comparing with that in polarized domain.
{"title":"Self-Interference Cancellation for Full-Duplex in Spatial-Polarized Domain","authors":"Xinyi Wang, Fangfang Liu, Chunyan Feng","doi":"10.1109/ISWCS.2018.8491041","DOIUrl":"https://doi.org/10.1109/ISWCS.2018.8491041","url":null,"abstract":"Self-interference cancellation is critical in full duplex networks and its mitigation capability is limited mainly due to the phase noise caused by imperfect local oscillators. In this paper, a novel self-interference cancellation scheme in spatial-polarized domain is analyzed for full duplex systems. In spatial-polarized domain, spatially isolated polarized antennas are used to transport signals based on the polarized system and signal models. Then the SI is cancelled by polarization processing with the rebuilt SI signal. Theoretical analysis and simulation show that the proposed scheme can mitigate the effect of phase noise on SI cancellation, and improve data rate comparing with that in polarized domain.","PeriodicalId":272951,"journal":{"name":"2018 15th International Symposium on Wireless Communication Systems (ISWCS)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127148389","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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