Pub Date : 2018-07-01DOI: 10.1109/5GWF.2018.8516955
A. Mavromatis, A. P. Silva, K. Kondepu, Dimitrios Gkounis, R. Nejabati, D. Simeonidou
The evolution of communication technologies is growing faster than ever demanding efficient networking operations. 5G will soon be the new generation of telecommunications and it is able to unlock the future design challenges of Internet of Things (IoT). Low latency, deployment scalability, automatic maintenance and high bandwidth are some of the core elements accommodating future efficient IoT deployments.In this paper a novel architecture and implementation based on Software Defined Networking (SDN) principles is presented aiming to solve scalability issues within large IoT deployments. This innovative solution is capable of reducing the latency, improving reliability and the User Experience (UX) within the IoT infrastructure. The proposed framework, named Software Defined Provisioning (SDP) enables scalability within IoT deployments by enhancing the network with plug and play features. Furthermore, the integration of an IoT platform with SDN is enabling the robust dynamic authorization and provisioning of heterogeneous IoT devices. The performance evaluation shows that our proposed framework significantly improves the current provisioning systems and also empowers diverse IoT platforms with a plug-able SDN interface.
{"title":"A Software Defined Device Provisioning Framework Facilitating Scalability in Internet of Things","authors":"A. Mavromatis, A. P. Silva, K. Kondepu, Dimitrios Gkounis, R. Nejabati, D. Simeonidou","doi":"10.1109/5GWF.2018.8516955","DOIUrl":"https://doi.org/10.1109/5GWF.2018.8516955","url":null,"abstract":"The evolution of communication technologies is growing faster than ever demanding efficient networking operations. 5G will soon be the new generation of telecommunications and it is able to unlock the future design challenges of Internet of Things (IoT). Low latency, deployment scalability, automatic maintenance and high bandwidth are some of the core elements accommodating future efficient IoT deployments.In this paper a novel architecture and implementation based on Software Defined Networking (SDN) principles is presented aiming to solve scalability issues within large IoT deployments. This innovative solution is capable of reducing the latency, improving reliability and the User Experience (UX) within the IoT infrastructure. The proposed framework, named Software Defined Provisioning (SDP) enables scalability within IoT deployments by enhancing the network with plug and play features. Furthermore, the integration of an IoT platform with SDN is enabling the robust dynamic authorization and provisioning of heterogeneous IoT devices. The performance evaluation shows that our proposed framework significantly improves the current provisioning systems and also empowers diverse IoT platforms with a plug-able SDN interface.","PeriodicalId":440445,"journal":{"name":"2018 IEEE 5G World Forum (5GWF)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123756344","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 : 2018-07-01DOI: 10.1109/5GWF.2018.8516961
Ghaith Hattab, E. Visotsky, M. Cudak, Amitava Ghosh
In this paper, we propose two interference mitigation techniques to enable the coexistence of fifth-generation new radio (5G-NR) with existing incumbent systems at millimeter frequencies. In particular, we propose to assign offsets, or bias values, to the base station beams such that users are discouraged to associate to the beams that are aligned with the incumbent receiver. We present a case study to evaluate the 5G uplink interference experienced at an existing incumbent in a dense urban city. Our results show that beam biasing provides better balance in 5G coverage and interference protection when compared to spatial exclusion zones.
{"title":"Interference Mitigation via Beam Range Biasing for 5G mmWave Coexistence with Incumbents","authors":"Ghaith Hattab, E. Visotsky, M. Cudak, Amitava Ghosh","doi":"10.1109/5GWF.2018.8516961","DOIUrl":"https://doi.org/10.1109/5GWF.2018.8516961","url":null,"abstract":"In this paper, we propose two interference mitigation techniques to enable the coexistence of fifth-generation new radio (5G-NR) with existing incumbent systems at millimeter frequencies. In particular, we propose to assign offsets, or bias values, to the base station beams such that users are discouraged to associate to the beams that are aligned with the incumbent receiver. We present a case study to evaluate the 5G uplink interference experienced at an existing incumbent in a dense urban city. Our results show that beam biasing provides better balance in 5G coverage and interference protection when compared to spatial exclusion zones.","PeriodicalId":440445,"journal":{"name":"2018 IEEE 5G World Forum (5GWF)","volume":"251 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116577818","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 : 2018-07-01DOI: 10.1109/5GWF.2018.8517015
Ravi Kadlimatti
This paper proposes a blind carrier identification method for phase and/or amplitude modulated signals. The carrier frequency (fc) of the received signal with unknown phase and/or amplitude modulation is identified from the ratio of the second derivative of the signal with itself. It is shown that this ratio is equal to –(2πfc)2. The second derivative is estimated by successive differences of the highly sampled received signal. It is shown that average of the ratio of estimated second derivative to the highly sampled received signal gives an accurate estimate of the carrier frequency. Since sinusoidal chips in the received signal are symmetrical around certain points, their convolution results in correlation up to a delay. While convolution of the noise, which is not symmetric by definition, with itself does not result in a peak as in the case of correlation. Thus to reduce the additive noise effect, different segments of the received signal are convolved with themselves and these convolution outputs are cross-correlated before computing the second derivative. This results in higher signal-to-noise ratio. This technique along with a bandpass filter bank improves the performance of the second derivative based carrier detection method in the presence of noise. The proposed carrier detection method is applied to M-PSK, QAM and CDMA signals and its performance in noise for each case is presented using root mean square error simulations.
{"title":"Blind Carrier Detection for Signals with Unknown Modulation","authors":"Ravi Kadlimatti","doi":"10.1109/5GWF.2018.8517015","DOIUrl":"https://doi.org/10.1109/5GWF.2018.8517015","url":null,"abstract":"This paper proposes a blind carrier identification method for phase and/or amplitude modulated signals. The carrier frequency (fc) of the received signal with unknown phase and/or amplitude modulation is identified from the ratio of the second derivative of the signal with itself. It is shown that this ratio is equal to –(2πfc)2. The second derivative is estimated by successive differences of the highly sampled received signal. It is shown that average of the ratio of estimated second derivative to the highly sampled received signal gives an accurate estimate of the carrier frequency. Since sinusoidal chips in the received signal are symmetrical around certain points, their convolution results in correlation up to a delay. While convolution of the noise, which is not symmetric by definition, with itself does not result in a peak as in the case of correlation. Thus to reduce the additive noise effect, different segments of the received signal are convolved with themselves and these convolution outputs are cross-correlated before computing the second derivative. This results in higher signal-to-noise ratio. This technique along with a bandpass filter bank improves the performance of the second derivative based carrier detection method in the presence of noise. The proposed carrier detection method is applied to M-PSK, QAM and CDMA signals and its performance in noise for each case is presented using root mean square error simulations.","PeriodicalId":440445,"journal":{"name":"2018 IEEE 5G World Forum (5GWF)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114826088","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 : 2018-07-01DOI: 10.1109/5GWF.2018.8516939
Fatemeh Shah-Mohammadi, Andres Kwasinski
Since quality measurement of end user plays an ever increasing role in development of the wireless communications toward the 5G era, mean opinion score (MOS) has become a widely used metric, not only because it reflects the subjective quality experience of end users but it also provides a common quality assessment metric for traffic of different types. This paper presents a distributed underlay dynamic spectrum access (DSA) scheme based on MOS which performs integrated traffic management and resource allocation across traffics of dissimilar characteristics (real-time video and data traffic). The presented scheme maximizes the overall MOS through a reinforcement learning for a system where primary users coexist with secondary users accessing the same frequency band of interest, while satisfying a total interference constraint to the primary users. The use of MOS as a common metric allows teaching between nodes carrying different traffic without reducing performance. As a result, the docitive paradigm is applied to the presented scheme to investigate the impact of different docition scenarios on overall MOS where a new comer node being taught by experienced peers with similar and dissimilar traffics. Simulation results show that the docition will reduce the number of iterations required for convergence by approximately 65% while preserving the overall MOS more than acceptable level (MOS >3) for different secondary network loads. In terms of applying docition between nodes with similar and dissimilar traffic, simulation results show all different docition scenarios have the same performance in terms of MOS.
{"title":"QoE-Driven Integrated Heterogeneous Traffic Resource Allocation Based on Cooperative Learning for 5G Cognitive Radio Networks","authors":"Fatemeh Shah-Mohammadi, Andres Kwasinski","doi":"10.1109/5GWF.2018.8516939","DOIUrl":"https://doi.org/10.1109/5GWF.2018.8516939","url":null,"abstract":"Since quality measurement of end user plays an ever increasing role in development of the wireless communications toward the 5G era, mean opinion score (MOS) has become a widely used metric, not only because it reflects the subjective quality experience of end users but it also provides a common quality assessment metric for traffic of different types. This paper presents a distributed underlay dynamic spectrum access (DSA) scheme based on MOS which performs integrated traffic management and resource allocation across traffics of dissimilar characteristics (real-time video and data traffic). The presented scheme maximizes the overall MOS through a reinforcement learning for a system where primary users coexist with secondary users accessing the same frequency band of interest, while satisfying a total interference constraint to the primary users. The use of MOS as a common metric allows teaching between nodes carrying different traffic without reducing performance. As a result, the docitive paradigm is applied to the presented scheme to investigate the impact of different docition scenarios on overall MOS where a new comer node being taught by experienced peers with similar and dissimilar traffics. Simulation results show that the docition will reduce the number of iterations required for convergence by approximately 65% while preserving the overall MOS more than acceptable level (MOS >3) for different secondary network loads. In terms of applying docition between nodes with similar and dissimilar traffic, simulation results show all different docition scenarios have the same performance in terms of MOS.","PeriodicalId":440445,"journal":{"name":"2018 IEEE 5G World Forum (5GWF)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125414612","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 : 2018-07-01DOI: 10.1109/5GWF.2018.8516980
S. Maric, L. Velimirović
Non-orthogonal multiple access (NOMA) techniques are an effective tool for increasing the user capacity in 5G networks. NOMA employs different interference cancellation strategies to improve the performance. This is necessary since the users occupy a same resource in any given time and the underlying user codes cannot achieve full orthogonality due to their short length compared to the number of users. In Sparse Code Multiple Access, Frequency Hopping (FH) can be used to randomize interference but the patterns need to be carefully designed in order to achieve effective randomization. In the paper, we first give the algebraic construction of optimal FH patterns when it comes to randomization, and then using simulations we establish the performance improvement when our patterns are compared with random pattern assignment.
{"title":"Optimal Frequency Hopping Patterns for FH-SCMA","authors":"S. Maric, L. Velimirović","doi":"10.1109/5GWF.2018.8516980","DOIUrl":"https://doi.org/10.1109/5GWF.2018.8516980","url":null,"abstract":"Non-orthogonal multiple access (NOMA) techniques are an effective tool for increasing the user capacity in 5G networks. NOMA employs different interference cancellation strategies to improve the performance. This is necessary since the users occupy a same resource in any given time and the underlying user codes cannot achieve full orthogonality due to their short length compared to the number of users. In Sparse Code Multiple Access, Frequency Hopping (FH) can be used to randomize interference but the patterns need to be carefully designed in order to achieve effective randomization. In the paper, we first give the algebraic construction of optimal FH patterns when it comes to randomization, and then using simulations we establish the performance improvement when our patterns are compared with random pattern assignment.","PeriodicalId":440445,"journal":{"name":"2018 IEEE 5G World Forum (5GWF)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130430011","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 : 2018-07-01DOI: 10.1109/5GWF.2018.8516979
L. Zhang, Yiyan Wu, Wei Li, K. Salehian, S. Lafleche, Z. Hong, Sung-Ik Park, Jae-young Lee, H. Kim, N. Hur
Delivering broadcast-type services is one of the main use cases defined for the next generation 5G system. To deliver robust mobile broadcast services, single-frequency-network (SFN) is preferred due to the inherent spatial diversity. However, each SFN transmitter requires a backhaul link, which results in high infrastructure cost, especially for small cell networks with large number of transmitters. This paper proposes a cost-efficient in-band full-duplex backhaul solution using power-based non-orthogonal multiplexing technology (P-NOM). In the proposed solution, the backhaul data and mobile services are transmitted in different signal layers in a P-NOM system at the same time and using the same spectrum. In order to achieve SFN operation, careful timing control on the backhaul and service transmissions is designed. When comparing to in-band backhaul solutions using orthogonal multiplexing (OM) technologies, the proposed P-NOM based technology achieves higher spectrum efficiency and network scalability. In addition, the proposed technology can be directly applied for backhaul transmission in mixed unicast and broadcast delivery, which is a desired feature for 5G to achieve more efficient use of spectrum.
{"title":"Using Non-Orthogonal Multiplexing for In-Band Full-Duplex Backhaul for 5G Broadcasting","authors":"L. Zhang, Yiyan Wu, Wei Li, K. Salehian, S. Lafleche, Z. Hong, Sung-Ik Park, Jae-young Lee, H. Kim, N. Hur","doi":"10.1109/5GWF.2018.8516979","DOIUrl":"https://doi.org/10.1109/5GWF.2018.8516979","url":null,"abstract":"Delivering broadcast-type services is one of the main use cases defined for the next generation 5G system. To deliver robust mobile broadcast services, single-frequency-network (SFN) is preferred due to the inherent spatial diversity. However, each SFN transmitter requires a backhaul link, which results in high infrastructure cost, especially for small cell networks with large number of transmitters. This paper proposes a cost-efficient in-band full-duplex backhaul solution using power-based non-orthogonal multiplexing technology (P-NOM). In the proposed solution, the backhaul data and mobile services are transmitted in different signal layers in a P-NOM system at the same time and using the same spectrum. In order to achieve SFN operation, careful timing control on the backhaul and service transmissions is designed. When comparing to in-band backhaul solutions using orthogonal multiplexing (OM) technologies, the proposed P-NOM based technology achieves higher spectrum efficiency and network scalability. In addition, the proposed technology can be directly applied for backhaul transmission in mixed unicast and broadcast delivery, which is a desired feature for 5G to achieve more efficient use of spectrum.","PeriodicalId":440445,"journal":{"name":"2018 IEEE 5G World Forum (5GWF)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114345772","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 : 2018-07-01DOI: 10.1109/5GWF.2018.8517035
B. Halvarsson, K. Larsson, M. Thurfjell, K. Hiltunen, Khanh Tran, Paulo Machado, D. Juchnevicius, H. Asplund
This paper investigates the behaviour of a 28 GHz Massive MIMO 5G new radio (NR) test system operating with 400 MHz bandwidth and one transmission/reception point in a semi-open urban environment. Single-user multiple-input multiple-output (MIMO) performance was evaluated in terms of coverage and propagation. For the considered test area reflections improved the channel conditions. The peak throughput was 6.2 Gbps in line-of-sight corresponding to 15.5 bps/Hz. One transmission/reception point was found to be sufficient to provide good coverage.Furthermore, significant multi-user MIMO gains – often more than 60% for the (median) system downlink throughput – were demonstrated with two users and beam forming with beam tracking in a single cell. This further demonstrates the capacity benefits from beam forming.
{"title":"5G NR Coverage, Performance and Beam Management Demonstrated in an Outdoor Urban Environment at 28 GHz","authors":"B. Halvarsson, K. Larsson, M. Thurfjell, K. Hiltunen, Khanh Tran, Paulo Machado, D. Juchnevicius, H. Asplund","doi":"10.1109/5GWF.2018.8517035","DOIUrl":"https://doi.org/10.1109/5GWF.2018.8517035","url":null,"abstract":"This paper investigates the behaviour of a 28 GHz Massive MIMO 5G new radio (NR) test system operating with 400 MHz bandwidth and one transmission/reception point in a semi-open urban environment. Single-user multiple-input multiple-output (MIMO) performance was evaluated in terms of coverage and propagation. For the considered test area reflections improved the channel conditions. The peak throughput was 6.2 Gbps in line-of-sight corresponding to 15.5 bps/Hz. One transmission/reception point was found to be sufficient to provide good coverage.Furthermore, significant multi-user MIMO gains – often more than 60% for the (median) system downlink throughput – were demonstrated with two users and beam forming with beam tracking in a single cell. This further demonstrates the capacity benefits from beam forming.","PeriodicalId":440445,"journal":{"name":"2018 IEEE 5G World Forum (5GWF)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115038844","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 : 2018-07-01DOI: 10.1109/5GWF.2018.8517017
Xiaohan Liu
Interoperability, power supply, and system maintenance are three important topics for field observation. Technologies associated with the Internet of Things (IOT) and 5G have great potential for field observation system improvement. In this manuscript, we discuss the architecture of field observation in the 5G era. Gateway, syntax and semantic interoperability are important aspects for system performance improvement. We developed a low-power data collector with sensing, communication, and power supply components, and we introduce our initial study on a real-world environment observation system implementation and experiment.
{"title":"Initial Study on the Architecture of Field Observation in 5G Era","authors":"Xiaohan Liu","doi":"10.1109/5GWF.2018.8517017","DOIUrl":"https://doi.org/10.1109/5GWF.2018.8517017","url":null,"abstract":"Interoperability, power supply, and system maintenance are three important topics for field observation. Technologies associated with the Internet of Things (IOT) and 5G have great potential for field observation system improvement. In this manuscript, we discuss the architecture of field observation in the 5G era. Gateway, syntax and semantic interoperability are important aspects for system performance improvement. We developed a low-power data collector with sensing, communication, and power supply components, and we introduce our initial study on a real-world environment observation system implementation and experiment.","PeriodicalId":440445,"journal":{"name":"2018 IEEE 5G World Forum (5GWF)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116443813","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 : 2018-07-01DOI: 10.1109/5GWF.2018.8517001
Medhat H. M. Elsayed, M. Erol-Kantarci
The immersive tactile applications that are emerging in the entertainment, education and health industries are anticipated to be available for mobile users in the close future. These applications are data-intensive and delay-sensitive due to the nature of information that is being exchanged. With today’s mobile networks, the throughput and latency challenges are the major roadblocks for mobile users. In this paper, we propose a resource allocation technique with the aim of increasing throughput and reducing latency of Data Intensive Devices (DIDs). We consider the coexistence of DIDs with traditional User Equipments (UEs) on a two-tier, densely deployed network of Small cell Base Stations (SBSs) and eNBs. We propose a Q-learning-based resource allocation scheme, namely, Throughput Maximizing Q-Learning (TMQ) that learns the efficient resource allocation of both SBSs and eNB. The proposed technique is compared with well-known Proportional Fairness (PF) algorithm in terms of average throughput, delay, and fairness. Simulation results show significant improvement in throughput, 80% reduction in delay, and 6% increase in fairness.
{"title":"Learning-Based Resource Allocation for Data-Intensive and Immersive Tactile Applications","authors":"Medhat H. M. Elsayed, M. Erol-Kantarci","doi":"10.1109/5GWF.2018.8517001","DOIUrl":"https://doi.org/10.1109/5GWF.2018.8517001","url":null,"abstract":"The immersive tactile applications that are emerging in the entertainment, education and health industries are anticipated to be available for mobile users in the close future. These applications are data-intensive and delay-sensitive due to the nature of information that is being exchanged. With today’s mobile networks, the throughput and latency challenges are the major roadblocks for mobile users. In this paper, we propose a resource allocation technique with the aim of increasing throughput and reducing latency of Data Intensive Devices (DIDs). We consider the coexistence of DIDs with traditional User Equipments (UEs) on a two-tier, densely deployed network of Small cell Base Stations (SBSs) and eNBs. We propose a Q-learning-based resource allocation scheme, namely, Throughput Maximizing Q-Learning (TMQ) that learns the efficient resource allocation of both SBSs and eNB. The proposed technique is compared with well-known Proportional Fairness (PF) algorithm in terms of average throughput, delay, and fairness. Simulation results show significant improvement in throughput, 80% reduction in delay, and 6% increase in fairness.","PeriodicalId":440445,"journal":{"name":"2018 IEEE 5G World Forum (5GWF)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124650927","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 : 2018-07-01DOI: 10.1109/5GWF.2018.8517022
Hai Tran, Tuan-Anh Mai, D. Vuong, N. Nguyen
TDD large scale MIMO recently has emerged as a groundbreaking technology which enables many antennas can be equipped at a Base Station without overhead for downlink pilot. In such systems, the uplink channel estimation plays a critical role since it is needed for both MU-MIMO detection and precoding weight calculation. To facilitate the implementation, the channel estimation should be as low complex as possible. In addition, to support multiusers, the channel estimation should be robust to long delay spread. Previous methods usually consists of FFT/IFFT transformation and windows for separating channel impulse response of multiusers. Another method estimates channel transfer function of each user directly in frequency domain by using a simple sliding window, however, this method is susceptible to long delay spread. To remove FFT/IFFT transformation, and mitigate long delay spread, we propose a method for channel estimation in frequency domain using raised-cosine based filter. Simulation results shown that the proposal outperforms previous methods. Under 3.7 μs delay spread of ITU-B channel, the proposal achieves bit error ratio of 10−3 with 2dB additional carrier to noise ratio compared to perfect channel estimation. To further validate the proposal, experiments are conducted with 16 antennas at base station and 4 single antenna users using 16, 64, and 256 QAM.
{"title":"On Improvement of Channel Estimation for the Uplink of Large Scale MU-MIMO using DMRS","authors":"Hai Tran, Tuan-Anh Mai, D. Vuong, N. Nguyen","doi":"10.1109/5GWF.2018.8517022","DOIUrl":"https://doi.org/10.1109/5GWF.2018.8517022","url":null,"abstract":"TDD large scale MIMO recently has emerged as a groundbreaking technology which enables many antennas can be equipped at a Base Station without overhead for downlink pilot. In such systems, the uplink channel estimation plays a critical role since it is needed for both MU-MIMO detection and precoding weight calculation. To facilitate the implementation, the channel estimation should be as low complex as possible. In addition, to support multiusers, the channel estimation should be robust to long delay spread. Previous methods usually consists of FFT/IFFT transformation and windows for separating channel impulse response of multiusers. Another method estimates channel transfer function of each user directly in frequency domain by using a simple sliding window, however, this method is susceptible to long delay spread. To remove FFT/IFFT transformation, and mitigate long delay spread, we propose a method for channel estimation in frequency domain using raised-cosine based filter. Simulation results shown that the proposal outperforms previous methods. Under 3.7 μs delay spread of ITU-B channel, the proposal achieves bit error ratio of 10−3 with 2dB additional carrier to noise ratio compared to perfect channel estimation. To further validate the proposal, experiments are conducted with 16 antennas at base station and 4 single antenna users using 16, 64, and 256 QAM.","PeriodicalId":440445,"journal":{"name":"2018 IEEE 5G World Forum (5GWF)","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129326858","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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