Minimizing Task Offloading Delay in NOMA-MEC Wireless Systems

This paper investigates a non-orthogonal multiple access (NOMA) based mobile edge computing (MEC) system with multiple users. We aim to optimize the offloading delay of multiple users subject to transmit power and offloading data rate constraints in NOMA enabled MEC system. We first converted the no...

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Veröffentlicht in:2022 4th Global Power, Energy and Communication Conference (GPECOM) S. 632 - 637
Hauptverfasser: Irum, Tayyaba, Usman Ejaz, Muhammad, Elkashlan, Maged
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 14.06.2022
Schlagworte:
Approximation algorithms
Delays
Minimization
Mobile edge computing (MEC)
Multi-access edge computing
NOMA
non-orthogonal multiple access (NOMA)
offloading time
orthogonal multiple access (OMA)
Search problems
Wireless communication
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Abstract This paper investigates a non-orthogonal multiple access (NOMA) based mobile edge computing (MEC) system with multiple users. We aim to optimize the offloading delay of multiple users subject to transmit power and offloading data rate constraints in NOMA enabled MEC system. We first converted the non-convex formulated minimization problem into a convex domain by proposing the convex approximation method and then the low complexity binary search algorithm is proposed to find the global optimal solution. Simulations are performed, showing that the proposed NOMA scheme outperforms the orthogonal multiple access (OMA) access in terms of time taken by task offloading. Motivated by the better performance of NOMA over OMA, the proposed NOMA scheme can be recommended for the future wireless communication system with massive connectivity and intensive computational demand.
AbstractList This paper investigates a non-orthogonal multiple access (NOMA) based mobile edge computing (MEC) system with multiple users. We aim to optimize the offloading delay of multiple users subject to transmit power and offloading data rate constraints in NOMA enabled MEC system. We first converted the non-convex formulated minimization problem into a convex domain by proposing the convex approximation method and then the low complexity binary search algorithm is proposed to find the global optimal solution. Simulations are performed, showing that the proposed NOMA scheme outperforms the orthogonal multiple access (OMA) access in terms of time taken by task offloading. Motivated by the better performance of NOMA over OMA, the proposed NOMA scheme can be recommended for the future wireless communication system with massive connectivity and intensive computational demand.
Author Elkashlan, Maged
Usman Ejaz, Muhammad
Irum, Tayyaba
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  organization: Queen Mary University of London,Electronic Engineering,London,United Kingdom
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  givenname: Muhammad
  surname: Usman Ejaz
  fullname: Usman Ejaz, Muhammad
  email: m.ejaz@qmul.ac.uk
  organization: Queen Mary University of London,Electronic Engineering,London,United Kingdom
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  givenname: Maged
  surname: Elkashlan
  fullname: Elkashlan, Maged
  email: maged.elkashlan@qmul.ac.uk
  organization: Queen Mary University of London,Electronic Engineering,London,United Kingdom
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Snippet This paper investigates a non-orthogonal multiple access (NOMA) based mobile edge computing (MEC) system with multiple users. We aim to optimize the offloading...
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SubjectTerms Approximation algorithms
Delays
Minimization
Mobile edge computing (MEC)
Multi-access edge computing
NOMA
non-orthogonal multiple access (NOMA)
offloading time
orthogonal multiple access (OMA)
Search problems
Wireless communication
Title Minimizing Task Offloading Delay in NOMA-MEC Wireless Systems
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