Total views : 108

A Survey on Traffic Evacuation Techniques in Internet of Things Network Environment


  • Department of Electrical and Information Engineering, Covenant University, Ota Ogun State, Nigeria


Objectives: System capacity has become a major concern while machine-to-machine (M2M) traffic evacuation has become a paramount interest due to the traffic congestion as well as overloading at the radio access and core network of the human-to-human (H2H) and machine-to-machine (M2M) communication framework of the 5G network. We therefore review the various solutions to the evacuation of M2M traffic with the aim of eliminating the said congestion. Methods/Statistical Analysis: We review various technologies including the low range radio technologies, and the long range wide area technologies available for internet of things (IoT) traffic otherwise called M2M traffic for decongesting the network and alleviating the M2M communication degradation effect on H2H communication. We also considered the application of massive MIMO in Heterogeneous networks for massive evacuation of the M2M traffic leading to greater separation of the H2H and M2M traffic and the eventual reduction of the network congestion. Findings: The application of massive MIMO for backhauling in macro cells for M2M traffic evacuation and which also provides 40 per cent capacity improvement via small cells placed indoor in a spatial densification heterogeneous network (HetNet) was considered as a good option for solving the above problems. Application/Improvement: A comprehensive survey on the use of the various techniques for traffic evacuation was not presented in the literature which we achieved in this paper.


Internet of Things, Small Cell, H2H, LPWAN, M2M.

Full Text:

 |  (PDF views: 90)


  • Stankovic AJ. Research Directions for the Internet of Things. IEEE Internet of Things Journal. 2014; 1(1):3-9. Crossref.
  • Jara JA, Ladid l, Skarmeta A. The Internet of Everything through IPv6: An Analysis of Challenges Solutions and Opportunities. Journal of Wireless Mobile Networks Ubiquitous Computting and Dependable Applications. 2013; 4(3):97-118.
  • Zanella A. Internet of Things for Smart Cities. IEEE Internet of Things Journal. 2014; 1(1):22-32. Crossref.
  • Andrusenko J, Burbank LJ, Ouyang F. Future Trends in Commercial Wireless Communications and Why They Matter to the Military. Johns Hopkins APL Technical Digest. 2015; 33(1):1-10.
  • Idowu-Bismark OB, Ibhaze EA, Atayero AA. Mimo Optimization Techniques and Their Application in Maximizing Throughput for 3GPP HSPA. Journal of Wireless Networking and Communications. 2017; 7(1):1-8.
  • Papadopoulos H, Wang C. Massive MIMO Technologies and Challenges towards 5G. IEICE Trans Communication. 2016; E99-B(3):602-21.
  • Cimmino A, Pecorella T. The Role of Small Cell Technology in Future Smart City Applications. Transactions on Emerging Telecommunications Technologies Trans. 2013; 25(1):11-20. Crossref.
  • Chen M, Wan J, Li F. Machine-to-Machine Communication: Architectures, Standards and Application. KSII Transactions on Internet and Information Systems. 2012; 6(2):480-97. Crossref.
  • Mehmood Y, Haider N. Impact of Massive MIMO Systems on Future M2M Communication. 2013; p. 534-7.
  • Cellular networks for massive IoT. Ericsson White paper. 2016; p. 1-13.
  • 4G Americas. Cellular Technologies Enabling the Internet of Things. 2015; p. 1-65.
  • Figueiredo FAP, Cardoso FACM. On the Application of Massive MU-MIMO in the Uplink of Machine Type Communication Systems. Brazil: Research and Development Center on Telecommunication. 2015; p. 1-7. Crossref.
  • Lee CH, Lee SH. Mobile Small Cells for Further Enhanced 5G Heterogeneous Networks. Information Telecommunication and Electronics. 2015; 37(5):856-66. Crossref.
  • Lu L, Li GY. An Overview of Massive MIMO: Benefits and Challenges. IEEE Journal of Selected Elected Topics in Signal Processing. 2014; 8(5):748-52. Crossref.
  • Tsai YH. Next generation Tech Trend for Global Critical Communication Standard. Institute for Information Industry. 2013.
  • Condoluci M, Dohler M, Araniti G, Molinaro A, Zheng K. Towards 5G Dense Nets: Architectural Advances for Effective Machine-Type Communications over Fem to cells. IEEE Communications Magazine. 2015; 53(|1):134-41.
  • Militano L, Araniti G. Device-to-Device Communications for 5G Internet of Things. EAI Endorsed Transactions on Internet of Things. 2015.
  • Narrowband IoT in the cloud Ericsson. Available from: Date accessed: 01/09/2016.
  • Wang YPE, Lin X. A Primer on 3GPP Narrowband Internet of Things (NB-IoT). 2016; p 1-8.
  • Bhushan N, Li J, Malladi D. Network Densification: The Dominant Theme for Wireless Evolution into 5G. IEEE Communications Magazine. 2014; p. 1-8. Crossref.
  • Larsson EG, Edfors O, Tufvesson F, Marzetta LT. Massive MIMO for Next Generation Wireless Systems. 2014; 52(2):186-95.
  • Ergen SC. ZigBee/IEEE 802.15.4 Summary. 2004; p. 1-37.
  • Rusek F, Persson D. Scaling up MIMO: Opportunities and Challenges with Very Large Arrays. IEEE Signal Processing Magazine. 2013; 30(1):40-60. Crossref.
  • Larsson EG, Edfors O. LUND University: MASSIVE MIMO for next generation wireless systems. 2014; p. 1-21.
  • Harmonizing the industry on a narrowband IoT (NB-IoT) specification. Available from: Crossref. Date accessed: 29/09/2015.
  • Palattella MR, Dohler M. Internet of Things in the 5G Era: Enablers, Architecture, and Business Models. IEEE Journal on Selected Areas in Communications. 2016; 34(3):510-27. Crossref.
  • Zheng K, Ou S, Yin X. Massive MIMO Channel Models: A Survey. Hindawi Publishing Corporation: International Journal of Antennas and Propagation. 2014; p. 10.
  • Hoydis J. Massive MIMO Systems with Non-Ideal Hardware: Energy Efficiency, Estimation, and Capacity Limits. IEEE Transactions on Information Theory. 2014; 60(11):7112-39. Crossref.
  • Perez DL, Ding M. Towards 1G bps /UE in Cellular Systems: Understanding Ultra-Dense Small Cell Deployments. IEEE Communication Surveys and Tutorials. 2015; 17(4):2078-101. Crossref.
  • Araujo DC, Maksymyuk T. Massive-MIMO: Survey and future research. 2016; 10(15):1938-46.
  • Agboje EO, Idowu-Bismark OB, Ibhaze EA. Comparative Analysis of Fast Fourier Transform and Discrete Wavelet Transform Based MIMO-OFDM. International Journal of Communication Antenna and Propagation. 2017; 7(2):168-75. Crossref.


  • There are currently no refbacks.

Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.