Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
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TY - GEN
T1 - Resource allocation for NOMA MEC offloading
AU - Zhu, J.
AU - Wang, J.
AU - Huang, Y.
AU - Fang, F.
AU - Navaie, K.
AU - DIng, Z.
PY - 2020/2/27
Y1 - 2020/2/27
N2 - In this paper, we consider a nonorthogonal multiple access (NOMA) assisted mobile edge computing (MEC) system where the power and time are jointly optimized to reduce the energy consumption and delay. In order to achieve a tradeoff between energy consumption and delay, we introduce weighting factors, and the optimization problem is formulated to minimize the weighted sum of energy consumption and delay. In the literature, only two offloading strategies, i. e., orthogonal multiple access (OMA) and pure NOMA, are mainly considered. In this paper, we investigate a third strategy, hybrid NOMA, which contains the strategies of OMA and pure NOMA. As the main contribution, we analytically characterize the optimal resource allocation, i. e., the joint power and time allocation, for two-scheduled-user case. Simulation results show that the proposed resource allocation method in hybrid NOMA systems yields lower energy consumption and delay than the conventional OMA scheme.
AB - In this paper, we consider a nonorthogonal multiple access (NOMA) assisted mobile edge computing (MEC) system where the power and time are jointly optimized to reduce the energy consumption and delay. In order to achieve a tradeoff between energy consumption and delay, we introduce weighting factors, and the optimization problem is formulated to minimize the weighted sum of energy consumption and delay. In the literature, only two offloading strategies, i. e., orthogonal multiple access (OMA) and pure NOMA, are mainly considered. In this paper, we investigate a third strategy, hybrid NOMA, which contains the strategies of OMA and pure NOMA. As the main contribution, we analytically characterize the optimal resource allocation, i. e., the joint power and time allocation, for two-scheduled-user case. Simulation results show that the proposed resource allocation method in hybrid NOMA systems yields lower energy consumption and delay than the conventional OMA scheme.
KW - Energy consumption
KW - Mobile edge computing
KW - Non-orthogonal multiple access
KW - Resource allocation
KW - Time delay
KW - Edge computing
KW - Energy utilization
KW - Lower energies
KW - Multiple access
KW - Non-orthogonal
KW - Optimal resource allocation
KW - Optimization problems
KW - Time allocation
KW - Weighted Sum
KW - Weighting factors
KW - Green computing
U2 - 10.1109/TWC.2020.2988532
DO - 10.1109/TWC.2020.2988532
M3 - Conference contribution/Paper
SN - 9781728109633
T3 - IEEE Global Communications Conference (GLOBECOM)
BT - 2019 IEEE Global Communications Conference (GLOBECOM)
PB - IEEE
ER -