Skip to main content
Log in

Exploiting capture and interference cancellation for uplink random multiple access in 5G millimeter-wave networks

  • Published:
Annals of Telecommunications Aims and scope Submit manuscript

Abstract

The forthcoming 5G technology aims to provide massive device connectivity and ultra-high capacity with reduced latency and costs. These features will be enabled by increasing the density of the base stations, using millimeter-wave (mmWave) bands, massive multiple-input multiple-output systems, and non-orthogonal multiple access techniques. The ability to support a large number of terminals in a small area is in fact a great challenge to guarantee massive access. In this context, this paper proposes a new receiver model for the uplink of 5G mmWave cellular networks. The receiver, called Iterative Decoding and Interference Cancellation (IDIC), is based on the Slotted Aloha (SA) protocol and exploits the capture effect alongside the successive IC process to resolve packet collisions. A 5G propagation scenario, modeled according to recent mmWave channel measurements, is used to compare IDIC with the widely adopted Contention Resolution Diversity SA (CRDSA) scheme to show the performance gain of IDIC, when elements of practical relevance, like imperfect cancellation and receive power diversity, are considered. The impact of packet and power diversity is also investigated to derive the preferable uplink random access strategy that maximizes the system throughput according to the offered channel load.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

References

  1. Andrews JG, Buzzi S, Choi W, Hanly SV, Lozano A, Soong ACK, Zhang JC (2014) What will 5G be? IEEE J Sel Areas Commun 32(6):1065–1082

    Article  Google Scholar 

  2. Di Renzo M (2015) Stochastic geometry modeling and analysis of multi-tier millimeter wave cellular networks. IEEE Trans Wireless Commun 14(9):5038–5057

    Article  Google Scholar 

  3. Akdeniz MR, Liu Y, Samimi MK, Sun S, Rangan S, Rappaport TS, Erkip E (2014) Millimeter wave channel modeling and cellular capacity evaluation. IEEE J Sel Areas Commun 32(6):1164–1179

    Article  Google Scholar 

  4. Samimi MK, Mac Cartney GR Jr, Sun S, TS (2016) Rappaport 28 GHz millimeter-wave ultrawideband small-scale fading models in wireless channels. In: IEEE Vehic. Technol. Conf.

  5. Babich F, Comisso M, Cuttin A (2017) Impact of interference spatial distribution on line-of-sight millimeter-wave communications. In: IEEE Europ. Wireless, pp 1–6

  6. Yaman Y, Spasojevic P (2016) Reducing the LOS ray beamforming setup time for IEEE 802.11ad and IEEE 802.15.3c. In: IEEE Military Commun. Conf.

  7. Benjebbour A, Saito K, Li A, Kishiyama Y, Nakamura T (2016) Non-orthogonal multiple access (NOMA): concept and design. In: Signal processing for 5G: algorithms and implementations, chapter 7. Wiley, Chichester, pp 143–168

    Chapter  Google Scholar 

  8. Błaszczyszyn B, Mühlethaler P (2015) Interference and SINR coverage in spatial non-slotted Aloha networks. Ann Telecommun 70(7):345–358

    Article  Google Scholar 

  9. Babich F, Comisso M, Crismani A, Dorni A (2015) On the design of MAC protocols for multi-packet communication in IEEE 802.11 heterogeneous networks using adaptive antenna arrays. IEEE Trans Mobile Comput 14(11):2332–2348

    Article  Google Scholar 

  10. Espes D, Lagrange X, Suárez L (2015) A cross-layer MAC and routing protocol based on Slotted Aloha for wireless sensor networks. Telecommun Ann 70(3-4):159–169

    Article  Google Scholar 

  11. Singh H, Singh S (2005) Smart-Aloha for multi-hop wireless networks. Mobile Netw Appl 10(5):651–662

    Article  Google Scholar 

  12. Chen Y, Shen Y, Zhu J, Jiang X, Tokuda H (2016) On the throughput capacity study for Aloha mobile ad hoc networks. IEEE Trans Commun 64(4):1646–1659

    Article  Google Scholar 

  13. Toor WT, Seo J, Jin H (2017) Distributed transmission control in multichannel s-Aloha for ad-hoc networks. IEEE Commun Lett 21(9):2093–2096

    Article  Google Scholar 

  14. Sen S, Santhapuri N, Choudhury RR, Nelakuditi S (2013) Successive interference cancellation: carving out MAC layer opportunities. IEEE Trans Mobile Comput 12(2):346–357

    Article  Google Scholar 

  15. Casini E, De Gaudenzi R, del Rio Herrero O (2007) Contention resolution diversity slotted ALOHA (CRDSA): an enhanced random access scheme for satellite access packet networks. IEEE Trans Wireless Commun 6(4):1408–1419

    Article  Google Scholar 

  16. DVB Document A155-2 (2017) Digital Video Broadcasting (DVB); Second Generation DVB Interactive Satellite System (DVB-RCS2); Part 2: Lower Layers for Satellite standard

  17. Liva G (2011) Graph-based analysis and optimization of contention resolution diversity slotted ALOHA. IEEE Trans Commun 59(2):477–487

    Article  Google Scholar 

  18. Paolini E, Liva G, Chiani M (2015) Coded slotted ALOHA: a graph-based method for uncoordinated multiple access. IEEE Trans Inf Theory 61(12):6815–6832

    Article  MathSciNet  Google Scholar 

  19. Tortelier P, Le Ruyet D (2017) Erasure correction-based CSMA/CA. Ann Telecommun 72(11-12):653–660

    Article  Google Scholar 

  20. Bui H, Zidane K, Lacan J, Boucheret M (2015) A multi-replica decoding technique for contention resolution diversity slotted Aloha. In: IEEE Vehic. technol. conf., pp 1–5

  21. Kuhn N, Mehani O, Bui H-C, Lochin E, Lacan J, Radzik J, Boreli R (2015) Improving web experience on DVB-RCS2 links. Ann Telecommun 70(11-12):451–463

    Article  Google Scholar 

  22. Baiocchi A, Ricciato F (2018) Analysis of pure and slotted Aloha with multi-packet reception and variable packet size. IEEE Commun Lett 22(7):1482–1485

    Article  Google Scholar 

  23. Chraiti M, Ghrayeb A, Assi C (2018) A NOMA scheme for a two-user MISO downlink channel with unknown CSIT. IEEE Trans Wireless Commun 17(10):6775–6789

    Article  Google Scholar 

  24. del Río Herrero O, De Gaudenzi R (2014) Generalized analytical framework for the performance assessment of slotted random access protocols. IEEE Trans Wireless Commun 13(2):809–821

    Article  Google Scholar 

  25. Vangelista L, Zanella A, Zorzi M (2015) Long-range IoT technologies: the dawn of LoRa. In: Atanasovski V, Leon-Garcia A (eds) Future access enablers for ubiquitous and intelligent infrastructures. Springer Int. Publishing

  26. Babich F, Comisso M (2016) Including the angular domain in the analysis of finite multi-packet peer-to-peer networks with uniformly distributed sources. IEEE Trans Commun 64(6):2494–2510

    Article  Google Scholar 

  27. Inaltekin H, Chiang M, Poor HV, Wicker SB (2009) On unbounded path-loss models: effects of singularity on wireless network performance. IEEE J Sel Areas Commun 27(7):1078–1092

    Article  Google Scholar 

  28. Stuber GL (1996) Principles of mobile communication. Kluwer Academic Publishers, Norwell

    Book  Google Scholar 

  29. Zanella A, Zorzi M (2012) Theoretical analysis of the capture probability in wireless systems with multiple packet reception capabilities. IEEE Trans Commun 60(4):1058–1071

    Article  Google Scholar 

  30. Holtzman JM (1992) A simple, accurate method to calculate spread-spectrum multiple-access error probabilities. IEEE Trans Commun 40(3):461–464

    Article  Google Scholar 

  31. Ricciato F, Castiglione P (2013) Pseudo-random ALOHA for enhanced collision-recovery in RFID. IEEE Commun Lett 17(3):608–611

    Article  Google Scholar 

  32. SAGE Millimeter Inc. Model SAO-2734030810-28-S1: Full Ka-Band Omnidirectional Antenna, 360 Degree, 7.5 dBi Gain (2017)

  33. Singh S, Mudumbai R, Madhow U (2011) Interference analysis for highly directional 60-GHz mesh networks: the case for rethinking medium access control. IEEE/ACM Trans Netw 19(5):1513–1527

    Article  Google Scholar 

Download references

Funding

This work is partly supported by the Italian Ministry of University and Research (MIUR) within the project FRA 2019 (University of Trieste, Trieste, Italy), entitled “UBER-5G: Cubesat 5G networks - access layer analysis and antenna system development.”

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Massimiliano Comisso.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Babich, F., Comisso, M., Cuttin, A. et al. Exploiting capture and interference cancellation for uplink random multiple access in 5G millimeter-wave networks. Ann. Telecommun. 75, 1–15 (2020). https://doi.org/10.1007/s12243-019-00714-w

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12243-019-00714-w

Keywords

Navigation