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Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
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TY - JOUR
T1 - Minimizing the Transaction Time Difference for NOMA-Based Mobile Edge Computing
AU - Kiani, A.Y.
AU - Hassan, S.A.
AU - Su, B.
AU - Pervaiz, H.
AU - Ni, Q.
N1 - ©2020 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
PY - 2020/4/1
Y1 - 2020/4/1
N2 - Non orthogonal multiple access (NOMA) and mobile edge computing (MEC) are evolving as key enablers for fifth generation (5G) networks as this combination can provide high spectral efficiency, improved quality-of-service (QoS), and lower latency. This letter aims to minimize the transaction time difference of two NOMA paired users offloading data to MEC servers by optimizing their transmission powers and computational resources of severs using a successive convex approximation method. The equalization of transaction time for paired users reduces the wastage of both frequency and computational resources, and improves effective throughput of the system to 19% on average.
AB - Non orthogonal multiple access (NOMA) and mobile edge computing (MEC) are evolving as key enablers for fifth generation (5G) networks as this combination can provide high spectral efficiency, improved quality-of-service (QoS), and lower latency. This letter aims to minimize the transaction time difference of two NOMA paired users offloading data to MEC servers by optimizing their transmission powers and computational resources of severs using a successive convex approximation method. The equalization of transaction time for paired users reduces the wastage of both frequency and computational resources, and improves effective throughput of the system to 19% on average.
KW - 5G communications
KW - Mobile edge computing (MEC)
KW - Non-orthogonal multiple access (NOMA)
KW - 5G mobile communication systems
KW - Edge computing
KW - Computational resources
KW - Effective throughput
KW - High spectral efficiency
KW - Multiple access
KW - Non-orthogonal
KW - Successive convex approximations
KW - Transaction time
KW - Quality of service
U2 - 10.1109/LCOMM.2020.2966442
DO - 10.1109/LCOMM.2020.2966442
M3 - Journal article
VL - 24
SP - 853
EP - 857
JO - IEEE Communications Letters
JF - IEEE Communications Letters
SN - 1089-7798
IS - 4
M1 - 8959315
ER -