Uplink Resource Allocation for Shared LTE and SCMA IoT Systems

Naveen Mysore Balasubramanya; Sohail Payami; Mathini Sellathurai

doi:10.1109/VTCSpring.2018.8417621

Uplink Resource Allocation for Shared LTE and SCMA IoT Systems

Naveen Mysore Balasubramanya, Sohail Payami, Mathini Sellathurai

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

5 Citations (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 language	English
Title of host publication	2018 IEEE 87th Vehicular Technology Conference (VTC Spring)
Publisher	IEEE
Pages	1-5
Number of pages	5
ISBN (Electronic)	9781538663554
DOIs	https://doi.org/10.1109/VTCSpring.2018.8417621
Publication status	Published - 26 Jul 2018

Publication series

Name	IEEE Vehicular Technology Conference
Publisher	IEEE
ISSN (Electronic)	2577-2465

ASJC Scopus subject areas

Computer Science Applications
Electrical and Electronic Engineering
Applied Mathematics

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10.1109/VTCSpring.2018.8417621

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title = "Uplink Resource Allocation for Shared LTE and SCMA IoT Systems",

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.",

author = "{Mysore Balasubramanya}, Naveen and Sohail Payami and Mathini Sellathurai",

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N2 - 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.

AB - 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.

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M3 - Conference contribution

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BT - 2018 IEEE 87th Vehicular Technology Conference (VTC Spring)

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ER -

Uplink Resource Allocation for Shared LTE and SCMA IoT Systems

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