Towards Device Driven 5G: Radio Resource Allocation Perspective

  • Morris Njiraine Jomo Kenyatta University of Agriculture and Technology
  • Kibet Langat Jomo Kenyatta University of Agriculture and Technology
  • Stephen Musyoki Jomo Kenyatta University of Agriculture and Technology

Abstract

5G cellular network is the next revolutionary wireless network system that is anticipated in the next few years with exceptional capabilities to achieve the IMT 2020 requirements. The 5G network will introduce a high level of flexibility, user centric, ultra reliable and low latency communications with a plethora of novel applications. Introduced in the LTE advanced system, carrier aggregation technology was one of the major milestone in radio resource management, significantly increasing the overall network performance. 5G will be a collision of networks tiers of various transmit powers, sizes, different radio access technologies, backhaul connections, and unprecedented number of heterogeneous and smart devices. Device to Device (D2D), Massive Machine Communication (MMC), enhanced carrier aggregation along with other technologies proposed in 5G such as energy harvesting and wireless network virtualization will introduce complexity of the resource scheduling.While the network design is envisioned to overcome the fundamental challenges of the existing and previous mobile networks, there are some clearly unprecedented challenges that can be foreseen. A survey of recently proposed resource allocation strategies for 5G, design aspects, issues and the likely challenges to be encountered in the resource allocation for the multi-tier architecture of this device driven network are presented.
Keywords—5G, IMT 2020, Radio Resource, Allocation Strategies, Future Networks, D2D Communication
Published
Oct 16, 2018
How to Cite
NJIRAINE, Morris; LANGAT, Kibet; MUSYOKI, Stephen. Towards Device Driven 5G: Radio Resource Allocation Perspective. Proceedings of Sustainable Research and Innovation Conference, [S.l.], p. 237-242, oct. 2018. ISSN 2079-6226. Available at: <http://sri.jkuat.ac.ke/ojs/index.php/proceedings/article/view/697>. Date accessed: 21 aug. 2019.