Enabling Ultra-Reliable Low-Latency Communications in 5G Networks

Thumbnail Image
Journal Title
Journal ISSN
Volume Title
School of Electrical Engineering | Doctoral thesis (article-based) | Defence date: 2019-02-01
Degree programme
91 + app. 97
Aalto University publication series DOCTORAL DISSERTATIONS, 15/2019
The fifth generation (5G) of cellular networks aims at providing connectivity for a large number of applications. To achieve this goal, 5G has been designed considering three main service categories, known as enhanced mobile broadband (eMBB), massive machine-type communications (mMTC), and ultra-reliable low-latency communications (URLLC). The target for URLLC support in 5G is to deliver small packets within a short time (up to 1 ms) with high probability of success (at least 99.999%). The support of URLLC, along with other services, brings new challenges that should be addressed. This thesis studies some of the challenges and proposes practical solutions to them. The research in this thesis considers the resource allocations for hybrid automatic repeat request (HARQ) transmission schemes for the efficient support of URLLC. The HARQ-based transmissions can achieve a high transmission rate while ensuring the communication reliability. It is, however, essential to consider different types of errors for resource allocations. This motivates employing a new link adaptation scheme, which considers jointly the errors of the data and the control channels. Time allocation is another concern for ensuring the end-to-end communication latency for two users operating in cellular mode. Conventionally, the time budget is divided equally and assigned to the uplink and downlink. This approach is not efficient for URLLC due to the stringent latency budget. Instead, two novel time allocation schemes are proposed that outperform the conventional approach. The communication between two users can be facilitated by device-to-device (D2D) communication when they are in close vicinity. The performance of D2D can be enhanced by exploiting the diversity for the data retransmissions. The design of the control channel is another important topic that is considered. The accuracy of control channels directly affects overall communication reliability. Generally, higher accuracy can be achieved by allocating more radio resources to the control channels. However, this approach can significantly reduce the communication efficiency of URLLC, as the amount of resources for the control channels becomes comparable to that allocated to the data channels. Instead, non-trivial solutions can be exploited to improve the performance of control channels for URLLC support. Blind-transmission schemes can reduce the communication latency and achieve high reliability without relying on a feedback channel. These are achieved by transmitting replicas of the data message using different resources in both time and frequency domains. The reliability of different types of blind-transmissions are evaluated.
Supervising professor
Jäntti, Riku, Prof., Aalto University, Department of Communications and Networking, Finland
Thesis advisor
Iraji, Sassan, Dr., Intel, Germany
5G, control channels, machine-type communications, radio resource allocations, ultra-reliable low-latency communication
Other note
  • [Publication 1]: Hamidreza Shariatmadari, Rapeepat Ratasuk, Sassan Iraji, Andres Laya, Tarik Taleb, Riku Jäntti, Amitava Ghosh. Machine-type communications: current status and future perspectives toward 5G systems. IEEE Communications Magazine, vol. 53, no. 9, pp. 10-17, 2015. Full Text in Acris/Aaltodoc: http://urn.fi/URN:NBN:fi:aalto-201510084593.
    DOI: 10.1109/MCOM.2015.7263367 View at publisher
  • [Publication 2]: Hamidreza Shariatmadari, Ruifeng Duan, Sassan Iraji, Zexian Li, Mikko A. Uusitalo, Riku Jäntti. Resource allocations for ultra-reliable low-latency communications. International Journal of Wireless Information Networks, vol. 24, no. 3, pp. 317-327, 2017.
    DOI: 10.1007/s10776-017-0360-5 View at publisher
  • [Publication 3]: Hamidreza Shariatmadari, Sassan Iraji, Zexian Li, Mikko A. Uusitalo, Riku Jäntti. Optimized transmission and resource allocation strategies for ultra-reliable communications. IEEE PIMRC, pp. 1-6, 2016.
    DOI: 10.1109/PIMRC.2016.7794801 View at publisher
  • [Publication 4]: Hamidreza Shariatmadari, Zexian Li, Mikko A. Uusitalo, Sassan Iraji, Riku Jäntti. Link adaptation design for ultra-reliable communications. IEEE ICC, pp. 1-5, 2016. Full Text in Acris/Aaltodoc: http://urn.fi/URN:NBN:fi:aalto-201610135032.
    DOI: 10.1109/ICC.2016.7511429 View at publisher
  • [Publication 5]: Hamidreza Shariatmadari, Ruifeng Duan, Zexian Li, Sassan Iraji, Mikko A. Uusitalo, Riku Jäntti. Analysis of transmission modes for ultra-reliable communications. IEEE PIMRC, pp. 1-6, 2016. Full Text in Acris/Aaltodoc: http://urn.fi/URN:NBN:fi:aalto-201510094596.
    DOI: 10.1109/PIMRC.2016.7794585 View at publisher
  • [Publication 6]: Hamidreza Shariatmadari, Sassan Iraji, Zexian Li, Mikko A. Uusitalo, Riku Jäntti. Control channel enhancements for ultrareliable low-latency communications. IEEE ICC, pp. 504-509, 2017.
    DOI: 10.1109/ICCW.2017.7962708 View at publisher
  • [Publication 7]: Hamidreza Shariatmadari, Sassan Iraji, Riku Jäntti, Petar Popovski, Zexian Li, Mikko A. Uusitalo. Fifth-generation control channel design; Achieving ultrareliable low-latency communications. IEEE Vehicular Technology Magazine, vol. 13, no. 2, pp. 84-93, 2018. Full Text in Acris/Aaltodoc: http://urn.fi/URN:NBN:fi:aalto-201806253492.
    DOI: 10.1109/MVT.2018.2814378 View at publisher
  • [Publication 8]: Guillermo Pocovi, Hamidreza Shariatmadari, Gilberto Berardinelli, Klaus Pedersen, Jens Steiner Zexian Li. Achieving ultra-reliable low-latency communications: Challenges and envisioned system enhancements. IEEE Network, vol. 32, no. 2, pp. 8-15, 2018.
    DOI: 10.1109/MNET.2018.1700257 View at publisher
  • [Publication 9]: Hamidreza Shariatmadari, Ruifeng Duan, Sassan Iraji, Riku Jäntti, Zexian Li, Mikko A. Uusitalo. Asymmetric ACK/NACK detection for ultra-reliable low-latency communications. IEEE EuCNC, pp. 162-166, 2018. Full Text in Acris/Aaltodoc: http://urn.fi/URN:NBN:fi:aalto-201812106046.
    DOI: 10.1109/EuCNC.2018.8442537 View at publisher
  • [Publication 10]: Hamidreza Shariatmadari, Zexian Li, Klaus Hugl, Mikko A. Uusitalo, Riku Jäntti. Statistical analysis of downlink transmissions for ultra-reliable low-latency communications. IEEE ISWCS, pp. 1-4, 2018.
    DOI: 10.1109/ISWCS.2018.8491043 View at publisher
  • [Errata file]: Errata of P. 10