Pub Date : 2018-07-01DOI: 10.1109/5GWF.2018.8517086
R. Bhatia, B. Gupta, S. Benno, Jairo O. Esteban, D. Samardzija, Marcos Tavares, T. V. Lakshman
In the foreseeable future, massive Machine Type Communication (mMTC) is slated to become a dominating communication paradigm in Industry 4.0, eHealth, connected homes and smart cities. This can pose significant challenges to cellular networks as both the signaling and power overhead for connection management and the communication tax in the form of protocol headers can no longer be amortized against infrequent small data transfers from very large number of low capability devices as is common with mMTC. The impending arrival of 5G provides the perfect opportunity to evolve cellular networks for mMTC. In this paper, we identify the underlying issues and propose novel architectural enhancements and protocol optimizations for reducing the mismatch between mMTC and cellular networks. This includes lean connectionless signaling protocols for network access and core networking, low overhead data protocols optimized for small packet transmission and mMTC Edge Proxies for offloading both processing and networking for devices with limited capabilities. We show using numerical data, that the proposed solution realizes achieves significant capacity gains for short mMTC packets applications when compared to legacy air-interfaces and commonly used networking protocols. More specifically, the proposed solution is capable of supporting 4 times more users than legacy LTE while showing gains of 25% and 16% over TCP/IP and IoT protocols such as CoAP over 6LowPAN, respectively. Finally, our solution is able to provide communication latencies under 10 ms with low jitter, which makes it a good candidate for industrial IoT applications.
{"title":"Massive Machine Type Communications over 5G using Lean Protocols and Edge Proxies","authors":"R. Bhatia, B. Gupta, S. Benno, Jairo O. Esteban, D. Samardzija, Marcos Tavares, T. V. Lakshman","doi":"10.1109/5GWF.2018.8517086","DOIUrl":"https://doi.org/10.1109/5GWF.2018.8517086","url":null,"abstract":"In the foreseeable future, massive Machine Type Communication (mMTC) is slated to become a dominating communication paradigm in Industry 4.0, eHealth, connected homes and smart cities. This can pose significant challenges to cellular networks as both the signaling and power overhead for connection management and the communication tax in the form of protocol headers can no longer be amortized against infrequent small data transfers from very large number of low capability devices as is common with mMTC. The impending arrival of 5G provides the perfect opportunity to evolve cellular networks for mMTC. In this paper, we identify the underlying issues and propose novel architectural enhancements and protocol optimizations for reducing the mismatch between mMTC and cellular networks. This includes lean connectionless signaling protocols for network access and core networking, low overhead data protocols optimized for small packet transmission and mMTC Edge Proxies for offloading both processing and networking for devices with limited capabilities. We show using numerical data, that the proposed solution realizes achieves significant capacity gains for short mMTC packets applications when compared to legacy air-interfaces and commonly used networking protocols. More specifically, the proposed solution is capable of supporting 4 times more users than legacy LTE while showing gains of 25% and 16% over TCP/IP and IoT protocols such as CoAP over 6LowPAN, respectively. Finally, our solution is able to provide communication latencies under 10 ms with low jitter, which makes it a good candidate for industrial IoT applications.","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":"114394526","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.2018.8516942
Mohamed Alouzi, François Chan
Massive MIMO is one of the technologies considered in 5G to provide a much higher capacity without requiring more wireless spectrum. Because of the congestion in the radio frequency spectrum below 6 GHz, the millimeter Wave (mmWave) band has increasingly become more attractive to researchers since it offers a much larger unused bandwidth. However, the higher path loss at mmWave frequencies and the poor scattering nature of the mmWave channel (fewer paths exist) represent a challenge for communications. A hybrid beamforming technique with large antenna arrays and the Alamouti coding scheme are used in this paper to improve the performance of a single-user mmWave massive MIMO system. When perfect Channel State Information (CSI) is not available at the Base Station (BS), computer simulations have shown that a gain of 20 dB or more can be achieved by using the Alamouti code compared to the system with hybrid beamforming only, and more importantly, the error probability does not level off.
{"title":"Millimeter Wave Massive MIMO with Alamouti Code and Imperfect Channel State Information","authors":"Mohamed Alouzi, François Chan","doi":"10.1109/5GWF.2018.8516942","DOIUrl":"https://doi.org/10.1109/5GWF.2018.8516942","url":null,"abstract":"Massive MIMO is one of the technologies considered in 5G to provide a much higher capacity without requiring more wireless spectrum. Because of the congestion in the radio frequency spectrum below 6 GHz, the millimeter Wave (mmWave) band has increasingly become more attractive to researchers since it offers a much larger unused bandwidth. However, the higher path loss at mmWave frequencies and the poor scattering nature of the mmWave channel (fewer paths exist) represent a challenge for communications. A hybrid beamforming technique with large antenna arrays and the Alamouti coding scheme are used in this paper to improve the performance of a single-user mmWave massive MIMO system. When perfect Channel State Information (CSI) is not available at the Base Station (BS), computer simulations have shown that a gain of 20 dB or more can be achieved by using the Alamouti code compared to the system with hybrid beamforming only, and more importantly, the error probability does not level off.","PeriodicalId":440445,"journal":{"name":"2018 IEEE 5G World Forum (5GWF)","volume":"10 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":"116871577","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.2018.8516931
S. Maier, H. Schlesinger, W. Templ, H. Viswanathan
This paper presents a low-cost millimeter-wave repeater for range extension in a 5G fixed wireless access system. It simply converts the wireless fronthaul signals in the 39 GHz band to the wireless access signals in the 28 GHz band without any base-band signal processing. Initial outdoor over-the-air tests with a simplified setup proved that a sufficient linearity can easily be achieved even over long fronthaul link length. Moreover, high bandwidth measurements with multi-carrier 5GTF pre-5G test signals demonstrated excellent EVM values with high signal-to-noise ratios enabling the required high data rates.
{"title":"Long distance and high bandwidth wireless link tests for a 39 GHz to 28 GHz 5G low-cost repeater","authors":"S. Maier, H. Schlesinger, W. Templ, H. Viswanathan","doi":"10.1109/5GWF.2018.8516931","DOIUrl":"https://doi.org/10.1109/5GWF.2018.8516931","url":null,"abstract":"This paper presents a low-cost millimeter-wave repeater for range extension in a 5G fixed wireless access system. It simply converts the wireless fronthaul signals in the 39 GHz band to the wireless access signals in the 28 GHz band without any base-band signal processing. Initial outdoor over-the-air tests with a simplified setup proved that a sufficient linearity can easily be achieved even over long fronthaul link length. Moreover, high bandwidth measurements with multi-carrier 5GTF pre-5G test signals demonstrated excellent EVM values with high signal-to-noise ratios enabling the required high data rates.","PeriodicalId":440445,"journal":{"name":"2018 IEEE 5G World Forum (5GWF)","volume":"51 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":"126566229","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.2018.8517071
N. Malm, Liang Zhou, Estifanos Yohannes Menta, K. Ruttik, R. Jäntti, O. Tirkkonen, Mário Costa, Kari Leppänen
We present an over-the-air testbed designed for assessing the performance of ultra-dense networks and related mobility management schemes based on tracking the location of user equipment. Location information of UEs at the physical layer of the radio access network allows for proactive and seamless handovers. This is particularly important for 5G ultra-dense networks where small cells may otherwise be overwhelmed by handover related signalling. We exploit sounding reference signals transmitted by UEs to track their location. Novel mobility management schemes can then be designed such that handover triggering is done by the network and without UE involvement. In current cellular networks, handover is triggered by downlink measurements carried out at the UE, and subsequent reporting. This work also validates our testbed’s proof-of-concept software architecture based on stateless unordered worker threads. In particular, a Cloud-RAN of up to four radio transceiver points can be combined into a network overseen by one gNB. Also, dataplane support allows for experimentation with real-time data handovers. The obtained results demonstrate the feasibility of location-based handover schemes as a tool for future cellular network design.
{"title":"User Localization Enabled Ultra-dense Network Testbed","authors":"N. Malm, Liang Zhou, Estifanos Yohannes Menta, K. Ruttik, R. Jäntti, O. Tirkkonen, Mário Costa, Kari Leppänen","doi":"10.1109/5GWF.2018.8517071","DOIUrl":"https://doi.org/10.1109/5GWF.2018.8517071","url":null,"abstract":"We present an over-the-air testbed designed for assessing the performance of ultra-dense networks and related mobility management schemes based on tracking the location of user equipment. Location information of UEs at the physical layer of the radio access network allows for proactive and seamless handovers. This is particularly important for 5G ultra-dense networks where small cells may otherwise be overwhelmed by handover related signalling. We exploit sounding reference signals transmitted by UEs to track their location. Novel mobility management schemes can then be designed such that handover triggering is done by the network and without UE involvement. In current cellular networks, handover is triggered by downlink measurements carried out at the UE, and subsequent reporting. This work also validates our testbed’s proof-of-concept software architecture based on stateless unordered worker threads. In particular, a Cloud-RAN of up to four radio transceiver points can be combined into a network overseen by one gNB. Also, dataplane support allows for experimentation with real-time data handovers. The obtained results demonstrate the feasibility of location-based handover schemes as a tool for future cellular network design.","PeriodicalId":440445,"journal":{"name":"2018 IEEE 5G World Forum (5GWF)","volume":"4 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":"127018500","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.2018.8517052
Gerhard Schreiber, Marcos Tavares
To cope with the stringent requirements imposed on the random access (RA) procedure by the use cases envisioned for 5G NR, we propose an RA preamble design based on cyclically delay-Doppler shifted m-sequences. In contrast to the legacy 4G LTE RA preambles based on Zadoff-Chu (ZC) sequences, the proposed design is very robust against frequency uncertainties originating from wireless channel propagation and local oscillator imperfections. Simulation results show that the proposed m-sequence based preambles deliver good performance even under harsh transmission conditions, while ZC based preambles fail. Further advantages of adopting m-sequence based preambles in 5G NR include random access channel (RACH) capacity enhancement, support for low-power devices and low complexity implementation.
{"title":"5G New Radio Physical Random Access Preamble Design","authors":"Gerhard Schreiber, Marcos Tavares","doi":"10.1109/5GWF.2018.8517052","DOIUrl":"https://doi.org/10.1109/5GWF.2018.8517052","url":null,"abstract":"To cope with the stringent requirements imposed on the random access (RA) procedure by the use cases envisioned for 5G NR, we propose an RA preamble design based on cyclically delay-Doppler shifted m-sequences. In contrast to the legacy 4G LTE RA preambles based on Zadoff-Chu (ZC) sequences, the proposed design is very robust against frequency uncertainties originating from wireless channel propagation and local oscillator imperfections. Simulation results show that the proposed m-sequence based preambles deliver good performance even under harsh transmission conditions, while ZC based preambles fail. Further advantages of adopting m-sequence based preambles in 5G NR include random access channel (RACH) capacity enhancement, support for low-power devices and low complexity implementation.","PeriodicalId":440445,"journal":{"name":"2018 IEEE 5G World Forum (5GWF)","volume":"280 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":"130925935","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.2018.8516943
B. Srinivas, D. Sen, S. Chakrabarti
Massive multiple-input-multiple-output (MIMO) uses a large number of antennas and radio frequency (RF) chains which incur a huge cost and power consumption. Since high-resolution analog-to-digital converters (ADCs) consumes a major portion of the RF chain circuit power, so one-bit massive MIMO systems are seen as one of the potential solutions to reduce the power consumption and cost associated with the RF chains. Our paper addresses channel estimation issue which is among one of the crucial needs for the practical realization of one-bit massive MIMO systems. The pilot-aided channel estimator demands additional pilots to improve the estimation accuracy which in turn reduces the spectral efficiency of the system. To overcome this, we propose an iterative semi-blind based channel estimator for one-bit massive MIMO systems. The proposed algorithm consists of two stages: initialization and iteration. The initial channel estimate is obtained from the pilot based initialization stage, which is refined further in the iteration stage with the help of both pilot and few data symbols. So, the semi-blind estimator improves estimation accuracy without the addition of extra pilot symbols into the system. Through simulations, we show that the proposed scheme achieves significant improvement against the existing pilot based estimators in terms of estimation accuracy and bit error rate (BER) at the cost of a nominal increase in the computational complexity. Further, the proposed algorithm attains convergence in almost one iteration for all the considered scenarios of one-bit massive MIMO system. Thus, the semi-blind estimator is spectral and power efficient in comparison to the existing pilot based algorithms.
{"title":"A Semi-Blind Channel Estimation Algorithm for One-bit Massive MIMO Systems","authors":"B. Srinivas, D. Sen, S. Chakrabarti","doi":"10.1109/5GWF.2018.8516943","DOIUrl":"https://doi.org/10.1109/5GWF.2018.8516943","url":null,"abstract":"Massive multiple-input-multiple-output (MIMO) uses a large number of antennas and radio frequency (RF) chains which incur a huge cost and power consumption. Since high-resolution analog-to-digital converters (ADCs) consumes a major portion of the RF chain circuit power, so one-bit massive MIMO systems are seen as one of the potential solutions to reduce the power consumption and cost associated with the RF chains. Our paper addresses channel estimation issue which is among one of the crucial needs for the practical realization of one-bit massive MIMO systems. The pilot-aided channel estimator demands additional pilots to improve the estimation accuracy which in turn reduces the spectral efficiency of the system. To overcome this, we propose an iterative semi-blind based channel estimator for one-bit massive MIMO systems. The proposed algorithm consists of two stages: initialization and iteration. The initial channel estimate is obtained from the pilot based initialization stage, which is refined further in the iteration stage with the help of both pilot and few data symbols. So, the semi-blind estimator improves estimation accuracy without the addition of extra pilot symbols into the system. Through simulations, we show that the proposed scheme achieves significant improvement against the existing pilot based estimators in terms of estimation accuracy and bit error rate (BER) at the cost of a nominal increase in the computational complexity. Further, the proposed algorithm attains convergence in almost one iteration for all the considered scenarios of one-bit massive MIMO system. Thus, the semi-blind estimator is spectral and power efficient in comparison to the existing pilot based algorithms.","PeriodicalId":440445,"journal":{"name":"2018 IEEE 5G World Forum (5GWF)","volume":"26 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":"131568683","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.2018.8516933
Ankur Vora, K. Kang
Emerging 5G wireless communication technology is envisioned to significantly enhance the performance. In this paper, we propose a new algorithm for effective cross-layer downlink scheduling and resource allocation (SRA) considering the channel and queue state, while supporting fairness. We also integrate our cross-layer SRA scheme with filter-bank multicarrier/offset quadrature amplitude modulation (FBMC/OQAM) to leverage the higher spectral efficiency. Our performance evaluation results show that our SRA method outperforms a novel SRA algorithm [1] by up to approximately 60%, 2.6%, and 1.6% in terms of goodput, goodput fairness, and delay fairness, respectively.
{"title":"Downlink Scheduling and Resource Allocation for 5G MIMO Multicarrier Systems","authors":"Ankur Vora, K. Kang","doi":"10.1109/5GWF.2018.8516933","DOIUrl":"https://doi.org/10.1109/5GWF.2018.8516933","url":null,"abstract":"Emerging 5G wireless communication technology is envisioned to significantly enhance the performance. In this paper, we propose a new algorithm for effective cross-layer downlink scheduling and resource allocation (SRA) considering the channel and queue state, while supporting fairness. We also integrate our cross-layer SRA scheme with filter-bank multicarrier/offset quadrature amplitude modulation (FBMC/OQAM) to leverage the higher spectral efficiency. Our performance evaluation results show that our SRA method outperforms a novel SRA algorithm [1] by up to approximately 60%, 2.6%, and 1.6% in terms of goodput, goodput fairness, and delay fairness, respectively.","PeriodicalId":440445,"journal":{"name":"2018 IEEE 5G World Forum (5GWF)","volume":"1 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":"130109169","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.2018.8516712
G. Chen, Lei Cao, Kangjian Qin, Zhaoyang Zhang
Different from linear block codes that may use one single generator matrix for different channel conditions, polar codes have different generator matrices for different channel conditions. Few papers investigated polar codes from the view of different distance spectrum associated with different generator matrices. Successive cancellation list (SCL) decoding was proposed to evaluate the distance spectrum of polar codes. However, the large memory requirement of SCL decoding using a large number of survival paths can be beyond the memory constraint of normal computers. One practical method to evaluate the distance spectrum of polar codes with SCL decoding was implemented with the aid of hard disk to store the immediately generated data. In this paper, we modify the algorithm of SCL decoding proposed by Tal and Vardy to largely reduce the time complexity and the required space in hard disk. With this method, we further investigate the distance spectrum of polar codes with length N = 128 and N = 256, respectively.
{"title":"A Low-Complexity Method for Evaluating the Distance Spectrum of Polar Codes","authors":"G. Chen, Lei Cao, Kangjian Qin, Zhaoyang Zhang","doi":"10.1109/5GWF.2018.8516712","DOIUrl":"https://doi.org/10.1109/5GWF.2018.8516712","url":null,"abstract":"Different from linear block codes that may use one single generator matrix for different channel conditions, polar codes have different generator matrices for different channel conditions. Few papers investigated polar codes from the view of different distance spectrum associated with different generator matrices. Successive cancellation list (SCL) decoding was proposed to evaluate the distance spectrum of polar codes. However, the large memory requirement of SCL decoding using a large number of survival paths can be beyond the memory constraint of normal computers. One practical method to evaluate the distance spectrum of polar codes with SCL decoding was implemented with the aid of hard disk to store the immediately generated data. In this paper, we modify the algorithm of SCL decoding proposed by Tal and Vardy to largely reduce the time complexity and the required space in hard disk. With this method, we further investigate the distance spectrum of polar codes with length N = 128 and N = 256, respectively.","PeriodicalId":440445,"journal":{"name":"2018 IEEE 5G World Forum (5GWF)","volume":"27 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":"125952726","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.2018.8517075
Andrea Fendt, Simon Lohmuller, L. Schmelz, B. Bauer
With the fifth generation of mobile networks (5G) diverse new use cases arise, including enhanced Mobile Broadband (eMBB), industrial and sensor networks as well as highly safety and security critical communication services. These new use cases introduce very different requirements on the mobile communication networks, e.g., network reliability, latency and throughput. Massive network virtualization and end-to-end mobile network slicing are seen as key enablers to handle those differing requirements and providing mobile network services for the various 5G use cases by a shared physical network infrastructure. However, resource allocation and mobile network slice embedding are still unsolved problems. Therefore, in this paper a standardized and easy to understand Integer Linear Program for offline mobile network slice embedding, especially focusing on resource allocation and virtual node as well as link mapping, will be presented. Moreover, the question of how to efficiently determine a nearly optimal end-to-end mobile network slice embedding on a shared network infrastructure will be answered.
{"title":"A Network Slice Resource Allocation and Optimization Model for End-to-End Mobile Networks","authors":"Andrea Fendt, Simon Lohmuller, L. Schmelz, B. Bauer","doi":"10.1109/5GWF.2018.8517075","DOIUrl":"https://doi.org/10.1109/5GWF.2018.8517075","url":null,"abstract":"With the fifth generation of mobile networks (5G) diverse new use cases arise, including enhanced Mobile Broadband (eMBB), industrial and sensor networks as well as highly safety and security critical communication services. These new use cases introduce very different requirements on the mobile communication networks, e.g., network reliability, latency and throughput. Massive network virtualization and end-to-end mobile network slicing are seen as key enablers to handle those differing requirements and providing mobile network services for the various 5G use cases by a shared physical network infrastructure. However, resource allocation and mobile network slice embedding are still unsolved problems. Therefore, in this paper a standardized and easy to understand Integer Linear Program for offline mobile network slice embedding, especially focusing on resource allocation and virtual node as well as link mapping, will be presented. Moreover, the question of how to efficiently determine a nearly optimal end-to-end mobile network slice embedding on a shared network infrastructure will be answered.","PeriodicalId":440445,"journal":{"name":"2018 IEEE 5G World Forum (5GWF)","volume":"76 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":"125415421","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 paper, a multi-component codebook structure is proposed for a channel state information (CSI) feedback to achieve an optimized beamforming gain with a limited feedback overhead when a base station (BS) is equipped with a multi-panel based 2D antenna array, where each antenna panel is a uniform rectangular array (URA). The proposed multi-component code-book structure is extended from a codebook designed for a single-panel based 2D antenna array by introducing a component pre-coder which is used to co-phase precoders across the panels. System level simulation results show that introduction of the component precoders for co-phasing of multiple panels can provide significant user packet throughput performance gain with a marginal increase in feedback overhead.
{"title":"An Efficient Limited Feedback for Multi-panel based 2D Antenna Array","authors":"Moon-il Lee, Loïc Canonne-Velasquez, Janet Stern-Berkowitz","doi":"10.1109/5GWF.2018.8517029","DOIUrl":"https://doi.org/10.1109/5GWF.2018.8517029","url":null,"abstract":"In this paper, a multi-component codebook structure is proposed for a channel state information (CSI) feedback to achieve an optimized beamforming gain with a limited feedback overhead when a base station (BS) is equipped with a multi-panel based 2D antenna array, where each antenna panel is a uniform rectangular array (URA). The proposed multi-component code-book structure is extended from a codebook designed for a single-panel based 2D antenna array by introducing a component pre-coder which is used to co-phase precoders across the panels. System level simulation results show that introduction of the component precoders for co-phasing of multiple panels can provide significant user packet throughput performance gain with a marginal increase in feedback overhead.","PeriodicalId":440445,"journal":{"name":"2018 IEEE 5G World Forum (5GWF)","volume":"52 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":"124952209","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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