Uplink Resource Allocation for Shared LTE and SCMA IoT Systems

Naveen Mysore Balasubramanya, Sohail Payami, Mathini Sellathurai

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

The fifth generation (5G) wireless communication technologies are analyzing non-orthogonal multiple access (NOMA) methods to facilitate the Internet of things (IoT) scenarios hosting a large number of users. In this paper, we consider a scenario where the network operator shares the uplink spectrum between the original long term evolution (LTE) users and new users using a code-domain NOMA technique called sparse code multiple access (SCMA). Since obtaining the optimal solution for resource allocation in such systems is exponentially complex, we propose heuristic algorithms for LTE and SCMA, with the objective of maximizing the overall achievable rate in the network. The simulation results indicate that the performance of the proposed algorithms is close to 90% of that of the optimal solution.

Original languageEnglish
Title of host publication2018 IEEE 87th Vehicular Technology Conference (VTC Spring)
PublisherIEEE
Pages1-5
Number of pages5
ISBN (Electronic)9781538663554
DOIs
Publication statusPublished - 26 Jul 2018

Publication series

NameIEEE Vehicular Technology Conference
PublisherIEEE
ISSN (Electronic)2577-2465

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

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