Enhanced Remote Areas Communications: The Missing Scenario for 5G and Beyond 5G Networks

The next generation of mobile communication system will allow a plethora of new services and use cases. By offering support for high throughput connections, low latency response and massive number of connections, the fifth generation of the mobile network will trigger applications unseen in any other network. However, one important application scenario is not being properly addressed by the players responsible for the mobile networks’ standardization, that is the remote and rural areas network. This scenario requires large cells with high throughput, flexibility to opportunistically exploit free bands below 1 GHz and spectrum agility to change the operational frequency when an incumbent is detected. Incipient actions are being considered for the Release 17 but based on the new radio specification as starting point. The limitations imposed by orthogonal waveforms in the physical layers hinder the exploitation of vacant TV channels in rural and remote areas. 5G-RANGE, a Brazil-Europe bilateral cooperation project, aims at conceiving, implementing and deploying an innovative mobile network, designed to provide reliable and cost-effective connection in these regions. This network can be seamlessly integrated with the other 5G scenarios, closing the connectivity gap between the urban, rural and remote areas. Hence, 5G-RANGE network is an interesting complementary solution for beyond 5G standards. This paper presents the major achievements of the 5G-RANGE project, from the design of the physical, medium access control and network layers, to the field demonstrations. The paper also covers the business models that can be used to make the deployment of this technology a reality.

[1]  Gerhard Fettweis,et al.  Generalized Frequency Division Multiplexing for 5th Generation Cellular Networks , 2014, IEEE Transactions on Communications.

[2]  Hugo Krawczyk,et al.  A Security Architecture for the Internet Protocol , 1999, IBM Syst. J..

[3]  Erdal Arikan,et al.  Systematic Polar Coding , 2011, IEEE Communications Letters.

[4]  E. Borcoci,et al.  WiMAX technology support for applications in environmental monitoring, fire prevention and telemedicine , 2007, 2007 IEEE Mobile WiMAX Symposium.

[5]  Behrouz Farhang-Boroujeny,et al.  OFDM Versus Filter Bank Multicarrier , 2011, IEEE Signal Processing Magazine.

[6]  Anke Schmeink,et al.  On iterative decoding of polar codes: Schedule-dependent performance and constructions , 2017, 2017 55th Annual Allerton Conference on Communication, Control, and Computing (Allerton).

[7]  Hanna Bogucka,et al.  Energy-Efficient Cooperative Spectrum Sensing: A Survey , 2016, IEEE Communications Surveys & Tutorials.

[8]  Luciano Leonel Mendes,et al.  Low Complexity GFDM Receiver for Frequency-Selective Channels , 2019, IEEE Communications Letters.

[9]  Arturo Azcorra,et al.  Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization. , 2019, Journal of visualized experiments : JoVE.

[10]  Tiejun Lv,et al.  Investigation on Evolving Single-Carrier NOMA Into Multi-Carrier NOMA in 5G , 2018, IEEE Access.

[11]  Chunsheng Xin,et al.  On Dynamic Spectrum Allocation in Geo-Location Spectrum Sharing Systems , 2019, IEEE Transactions on Mobile Computing.

[12]  Alexios Balatsoukas-Stimming,et al.  LLR-Based Successive Cancellation List Decoding of Polar Codes , 2013, IEEE Transactions on Signal Processing.

[13]  Tuomas Tirronen,et al.  3GPP Release 15 Early Data Transmission , 2018, IEEE Communications Standards Magazine.

[14]  Seungtae Ko,et al.  Millimeter-Wave 5G Antennas for Smartphones: Overview and Experimental Demonstration , 2017, IEEE Transactions on Antennas and Propagation.

[15]  Q. Diduck,et al.  5G New-Radio Transmitter Exceeding 40% Modulated Efficiency , 2018, 2018 IEEE 5G World Forum (5GWF).

[16]  Luciano Leonel Mendes,et al.  Orthogonal Scalar Feedback Digital Pre-Distortion Linearization , 2018, IEEE Transactions on Broadcasting.

[17]  Lajos Hanzo,et al.  Survey of Turbo, LDPC, and Polar Decoder ASIC Implementations , 2019, IEEE Communications Surveys & Tutorials.

[18]  Anwer Al-Dulaimi Cognitive radio systems in LTE networks , 2012 .

[19]  Gerhard Fettweis,et al.  Performance Analysis of a 5G Transceiver Implementation for Remote Areas Scenarios , 2018, 2018 European Conference on Networks and Communications (EuCNC).

[20]  Jaime García-Reinoso,et al.  Design and Deployment of an Open Management and Orchestration Platform for Multi-Site NFV Experimentation , 2019, IEEE Communications Magazine.

[21]  Tarcisio F. Maciel,et al.  CDL-based Channel Model for 5G MIMO Systems in Remote Rural Areas , 2019, 2019 16th International Symposium on Wireless Communication Systems (ISWCS).

[22]  Markus Rupp,et al.  BER comparison between Convolutional, Turbo, LDPC, and Polar codes , 2017, 2017 24th International Conference on Telecommunications (ICT).

[23]  Borja Nogales,et al.  VENUE: Virtualized Environment for Multi-UAV Network Emulation , 2019, IEEE Access.

[24]  Xingqin Lin,et al.  Overview of 3GPP Release 14 Enhanced NB-IoT , 2017, IEEE Network.

[25]  Luciano Leonel Mendes,et al.  Performance of WIBA Energy Detector in Rural and Remote Area Channel , 2019, 2019 16th International Symposium on Wireless Communication Systems (ISWCS).

[26]  Gerhard Fettweis,et al.  Optimal Radix-2 FFT Compatible Filters for GFDM , 2017, IEEE Communications Letters.

[27]  Michail Matthaiou,et al.  Sum-Rate and Power Scaling of Massive MIMO Systems With Channel Aging , 2015, IEEE Transactions on Communications.

[28]  Richard S. Wolff,et al.  Using Wi-Fi for cost-effective broadband wireless access in rural and remote areas , 2004, 2004 IEEE Wireless Communications and Networking Conference (IEEE Cat. No.04TH8733).

[29]  Luciano Leonel Mendes,et al.  Space-Time Coding for Generalized Frequency Division Multiplexing , 2014 .

[30]  Marwa Chafii,et al.  Pilot- and CP-Aided Channel Estimation in MIMO Non-Orthogonal Multi-Carriers , 2019, IEEE Transactions on Wireless Communications.

[31]  Albena Mihovska,et al.  Performance evaluation of IEEE 802.11ah systems , 2016, 2016 24th Telecommunications Forum (TELFOR).

[32]  Gerhard Fettweis,et al.  Interference-Free Pilots Insertion for MIMO-GFDM Channel Estimation , 2017, 2017 IEEE Wireless Communications and Networking Conference (WCNC).

[33]  Francisco Valera,et al.  Transport-Layer Limitations for NFV Orchestration in Resource-Constrained Aerial Networks , 2019, Sensors.

[34]  Tuncer Baykas,et al.  A new approach for coexistence of IEEE 802.11af and IEEE 802.22 systems , 2018, 2018 26th Signal Processing and Communications Applications Conference (SIU).

[35]  Rainer Drath,et al.  Industrie 4.0: Hit or Hype? [Industry Forum] , 2014, IEEE Industrial Electronics Magazine.

[36]  Lajos Hanzo,et al.  Millimeter-Wave Communications: Physical Channel Models, Design Considerations, Antenna Constructions, and Link-Budget , 2018, IEEE Communications Surveys & Tutorials.

[37]  Stephan ten Brink,et al.  CRC-Aided Belief Propagation List Decoding of Polar Codes , 2020, 2020 IEEE International Symposium on Information Theory (ISIT).

[38]  Bin Tang,et al.  Wideband Spectrum Sensing via Derived Correlation Matrix Completion Based on Generalized Coprime Sampling , 2019, IEEE Access.

[39]  Valerio Bioglio,et al.  Design of Polar Codes in 5G New Radio , 2018, IEEE Communications Surveys & Tutorials.

[40]  Gerhard Fettweis,et al.  Multi-user time-reversal STC-GFDMA for future wireless networks , 2015, EURASIP J. Wirel. Commun. Netw..

[41]  Carsten Bockelmann,et al.  Massive machine-type communications in 5g: physical and MAC-layer solutions , 2016, IEEE Communications Magazine.

[42]  Ahmed Elkelesh,et al.  Belief Propagation List Decoding of Polar Codes , 2018, IEEE Communications Letters.

[43]  Marwa Chafii,et al.  Unified Low Complexity Radix-2 Architectures for Time and Frequency-Domain GFDM Modem , 2018, IEEE Circuits and Systems Magazine.

[44]  Dan Wang,et al.  From IoT to 5G I-IoT: The Next Generation IoT-Based Intelligent Algorithms and 5G Technologies , 2018, IEEE Communications Magazine.

[45]  Shubhranshu Singh,et al.  5G service requirements and operational use cases: Analysis and METIS II vision , 2016, 2016 European Conference on Networks and Communications (EuCNC).

[46]  Didier Le Ruyet,et al.  Analytical study of 5G NR eMBB co-existence , 2018, 2018 25th International Conference on Telecommunications (ICT).

[47]  Dan Wang,et al.  Intelligent Cognitive Radio in 5G: AI-Based Hierarchical Cognitive Cellular Networks , 2019, IEEE Wireless Communications.

[48]  Mohamed-Slim Alouini,et al.  Design of 5G Full Dimension Massive MIMO Systems , 2016, IEEE Transactions on Communications.

[49]  Gilberto Berardinelli,et al.  Achieving Ultra-Reliable Low-Latency Communications: Challenges and Envisioned System Enhancements , 2018, IEEE Network.

[50]  Lorenza Giupponi,et al.  NR-U and IEEE 802.11 Technologies Coexistence in Unlicensed mmWave Spectrum: Models and Evaluation , 2020, IEEE Access.

[51]  Alireza Zourmand,et al.  Internet of Things (IoT) using LoRa technology , 2019, 2019 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS).

[52]  Filippo Tosato,et al.  Overhead Reduction of NR type II CSI for NR Release 16 , 2019, WSA.

[53]  Kais Mekki,et al.  Overview of Cellular LPWAN Technologies for IoT Deployment: Sigfox, LoRaWAN, and NB-IoT , 2018, 2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops).

[54]  J.A.C. Bingham,et al.  Multicarrier modulation for data transmission: an idea whose time has come , 1990, IEEE Communications Magazine.

[55]  Theodore S. Rappaport,et al.  Propagation Models and Performance Evaluation for 5G Millimeter-Wave Bands , 2018, IEEE Transactions on Vehicular Technology.

[56]  Iain B. Collings,et al.  Millimeter-Wave Small Cells: Base Station Discovery, Beam Alignment, and System Design Challenges , 2018, IEEE Wireless Communications.