5G Waveforms for IoT Applications

In the future, many objects will communicate with each other and with human beings, enabling a vast range of possible services and applications. However, this scenario comes with stringent network requirements. This paper studies and discusses recent technologies that were proposed to achieve the requirements of the Internet of Things (IoT) and massive machine type communications (mMTC). It focuses on their physical layer characteristics and identifies gaps that 5G networks need to address to achieve full connectivity in the IoT scenario. Hence, a detailed tutorial on the possible radio access technologies for 5G networks focusing on IoT use-cases is presented. The advanced 5G waveforms discussed are: 1) orthogonal frequency division multiplexing (OFDM); 2) universal filtered multicarrier (UFMC); 3) filter bank multicarrier (FBMC); and 4) generalized frequency division multiplexing (GFDM). The features that each radio access technology should present to address the main IoT’s requirements are emphasized.

[1]  Orestis Georgiou,et al.  Low Power Wide Area Network Analysis: Can LoRa Scale? , 2016, IEEE Wireless Communications Letters.

[2]  Luciano Leonel Mendes,et al.  GFDM: Providing Flexibility for the 5G Physical Layer , 2016 .

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

[4]  Luciano Leonel Mendes,et al.  Linear GFDM: A Low Out-of-band Emission Configuration for 5G Air Interface , 2018, 2018 IEEE 5G World Forum (5GWF).

[5]  Mario Tanda,et al.  Analysis of an FBMC/OQAM scheme for asynchronous access in wireless communications , 2015, EURASIP J. Adv. Signal Process..

[6]  Konstantin Mikhaylov,et al.  Performance of a low-power wide-area network based on LoRa technology: Doppler robustness, scalability, and coverage , 2017, Int. J. Distributed Sens. Networks.

[7]  Xavier Mestre,et al.  The 5G candidate waveform race: a comparison of complexity and performance , 2017, EURASIP Journal on Wireless Communications and Networking.

[8]  Gerhard Fettweis,et al.  GFDM - Generalized Frequency Division Multiplexing , 2009, VTC Spring 2009 - IEEE 69th Vehicular Technology Conference.

[9]  Anke Schmeink,et al.  Comparison and evaluation between FBMC and OFDM systems , 2015, WSA.

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

[11]  Frank Schaich,et al.  5GNOW: non-orthogonal, asynchronous waveforms for future mobile applications , 2014, IEEE Communications Magazine.

[12]  Andrea Zanella,et al.  The challenges of M2M massive access in wireless cellular networks , 2015, Digit. Commun. Networks.

[13]  Athanasios V. Vasilakos,et al.  A survey of millimeter wave communications (mmWave) for 5G: opportunities and challenges , 2015, Wireless Networks.

[14]  Antonio Iera,et al.  The Internet of Things: A survey , 2010, Comput. Networks.

[15]  Jeffrey G. Andrews,et al.  What Will 5G Be? , 2014, IEEE Journal on Selected Areas in Communications.

[16]  Marc Engels.  Wireless OFDM Systems: How to Make Them Work? , 2002 .

[17]  Valery Tikhvinskiy,et al.  Comparative analysis of UFMC technology in 5G networks , 2017, 2017 International Siberian Conference on Control and Communications (SIBCON).

[18]  Maria Rita Palattella,et al.  Internet of Things in the 5G Era: Enablers, Architecture, and Business Models , 2016, IEEE Journal on Selected Areas in Communications.

[19]  Gerhard Fettweis,et al.  Generalized Frequency Division Multiplexing in a Gabor Transform Setting , 2014, IEEE Communications Letters.

[20]  K. V. Padmaja,et al.  Performance analysis of time domain and frequency domain equalizer for ADSL , 2016, 2016 International Conference on Communication and Signal Processing (ICCSP).

[21]  Olga Galinina,et al.  Understanding the IoT connectivity landscape: a contemporary M2M radio technology roadmap , 2015, IEEE Communications Magazine.

[22]  Melanie Swan,et al.  The Quantified Self: Fundamental Disruption in Big Data Science and Biological Discovery , 2013, Big Data.

[23]  Thorsten Wild,et al.  Waveform contenders for 5G — OFDM vs. FBMC vs. UFMC , 2014, 2014 6th International Symposium on Communications, Control and Signal Processing (ISCCSP).

[24]  Fredrik Tufvesson,et al.  5G: A Tutorial Overview of Standards, Trials, Challenges, Deployment, and Practice , 2017, IEEE Journal on Selected Areas in Communications.

[25]  Ozan K. Tonguz,et al.  Bluetooth 5: A Concrete Step Forward toward the IoT , 2017, IEEE Communications Magazine.

[26]  Frank Schaich,et al.  Universal-filtered multi-carrier technique for wireless systems beyond LTE , 2013, 2013 IEEE Globecom Workshops (GC Wkshps).

[27]  Edgar H. Callaway,et al.  Home networking with IEEE 802.15.4: a developing standard for low-rate wireless personal area networks , 2002, IEEE Commun. Mag..

[28]  Pekka Pirinen,et al.  A brief overview of 5G research activities , 2014, 1st International Conference on 5G for Ubiquitous Connectivity.

[29]  José A. Afonso,et al.  A low-cost ZigBee-based wireless industrial automation system , 2017 .

[30]  Yiqun Wu,et al.  5G: Towards energy-efficient, low-latency and high-reliable communications networks , 2014, 2014 IEEE International Conference on Communication Systems.

[31]  Pedro Merino,et al.  The 3GPP NB-IoT system architecture for the Internet of Things , 2017, 2017 IEEE International Conference on Communications Workshops (ICC Workshops).

[32]  Andrea Zanella,et al.  Long-range communications in unlicensed bands: the rising stars in the IoT and smart city scenarios , 2015, IEEE Wireless Communications.

[33]  Andrea Zanella,et al.  Long-Range IoT Technologies: The Dawn of LoRa™ , 2015, FABULOUS.

[34]  Geoff Mulligan,et al.  The 6LoWPAN architecture , 2007, EmNets '07.

[35]  B. Otis,et al.  PicoRadios for wireless sensor networks: the next challenge in ultra-low power design , 2002, 2002 IEEE International Solid-State Circuits Conference. Digest of Technical Papers (Cat. No.02CH37315).

[36]  R. M. A. P. Rajatheva,et al.  FBMC-based air interface for 5G mobile: Challenges and proposed solutions , 2014, 2014 9th International Conference on Cognitive Radio Oriented Wireless Networks and Communications (CROWNCOM).

[37]  Mahesh Sooriyabandara,et al.  Low Power Wide Area Networks: An Overview , 2016, IEEE Communications Surveys & Tutorials.

[38]  Tao Jiang,et al.  A Survey of Emerging M2M Systems: Context, Task, and Objective , 2016, IEEE Internet of Things Journal.

[39]  Hyunsoo Kim,et al.  Resource block management for uplink UFMC systems , 2016, WCNC.

[40]  Qi Zhang,et al.  Mission Critical IoT Communication in 5G , 2015, FABULOUS.

[41]  Navrati Saxena,et al.  Next Generation 5G Wireless Networks: A Comprehensive Survey , 2016, IEEE Communications Surveys & Tutorials.

[42]  Bhaskar Krishnamachari,et al.  Performance evaluation of the IEEE 802.15.4 MAC for low-rate low-power wireless networks , 2004, IEEE International Conference on Performance, Computing, and Communications, 2004.

[43]  Smruti R. Sarangi,et al.  Internet of Things: Architectures, Protocols, and Applications , 2017, J. Electr. Comput. Eng..

[44]  Evgeny M. Khorov,et al.  A survey on IEEE 802.11ah: An enabling networking technology for smart cities , 2015, Comput. Commun..

[45]  Petar Solic,et al.  LoRaWAN — A low power WAN protocol for Internet of Things: A review and opportunities , 2017, 2017 2nd International Multidisciplinary Conference on Computer and Energy Science (SpliTech).

[46]  Xi Zhang,et al.  Filtered-OFDM - Enabler for Flexible Waveform in the 5th Generation Cellular Networks , 2014, 2015 IEEE Global Communications Conference (GLOBECOM).

[47]  Min Chen,et al.  Narrow Band Internet of Things , 2017, IEEE Access.

[48]  Ming Jia,et al.  Filtered OFDM: A new waveform for future wireless systems , 2015, 2015 IEEE 16th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC).

[49]  Jaume Barceló,et al.  IEEE 802.11AH: the WiFi approach for M2M communications , 2014, IEEE Wireless Communications.

[50]  Amitava Ghosh,et al.  NB-IoT system for M2M communication , 2016, 2016 IEEE Wireless Communications and Networking Conference.

[51]  KUOR-HSIN CHANG,et al.  Bluetooth: a viable solution for IoT? [Industry Perspectives] , 2014, IEEE Wireless Communications.

[52]  Maurice Bellanger,et al.  Physical layer for future broadband radio systems , 2010, 2010 IEEE Radio and Wireless Symposium (RWS).

[53]  Gerhard Fettweis,et al.  Frequency-Shift Offset-QAM for GFDM , 2015, IEEE Communications Letters.

[54]  Frank Schaich,et al.  Waveform Contenders for 5G - Suitability for Short Packet and Low Latency Transmissions , 2014, 2014 IEEE 79th Vehicular Technology Conference (VTC Spring).

[55]  Fei Peng,et al.  Adaptive Modulation and Coding for IEEE 802.11n , 2007, 2007 IEEE Wireless Communications and Networking Conference.

[56]  Carles Gomez,et al.  Bluetooth Low Energy Mesh Networks: A Survey , 2017, Sensors.

[57]  Gerhard Fettweis,et al.  LTE-compatible 5G PHY based on generalized frequency division multiplexing , 2014, 2014 11th International Symposium on Wireless Communications Systems (ISWCS).

[58]  Markus Rupp,et al.  Filter Bank Multicarrier Modulation Schemes for Future Mobile Communications , 2017, IEEE Journal on Selected Areas in Communications.

[59]  Wu He,et al.  Internet of Things in Industries: A Survey , 2014, IEEE Transactions on Industrial Informatics.

[60]  B. Saltzberg,et al.  Performance of an Efficient Parallel Data Transmission System , 1967, IEEE Transactions on Communication Technology.

[61]  Gerhard P. Fettweis,et al.  The Tactile Internet: Applications and Challenges , 2014, IEEE Vehicular Technology Magazine.

[62]  Frank Schaich,et al.  5G air interface design based on Universal Filtered (UF-)OFDM , 2014, 2014 19th International Conference on Digital Signal Processing.