Abstract
This paper investigates the resource allocation scheme to maximize the energy efficiency for a downlink nonorthogonal multiple access (NOMA) system. An optimization problem is formulated taking into account the total power and the
minimum user rate requirements to balance the system energy efficiency and the total system throughput. Due to the complexity of the objective function, we used the Dinkelbach approach to convert the non-linear fractional programming problem into a simpler subtractive form. Then, the equivalent subtractive form-objective function problem is solved by using iterative programming. A subgradient based resource allocation algorithm is proposed to allocate the power for each user. Simulation results justify the effectiveness of the proposed method and show how it approaches the optimal solution. It also shows that the
proposed schemes for NOMA provide better performance than the orthogonal frequency division multiple access (OFDMA) in terms of the energy efficiency and sum rate
minimum user rate requirements to balance the system energy efficiency and the total system throughput. Due to the complexity of the objective function, we used the Dinkelbach approach to convert the non-linear fractional programming problem into a simpler subtractive form. Then, the equivalent subtractive form-objective function problem is solved by using iterative programming. A subgradient based resource allocation algorithm is proposed to allocate the power for each user. Simulation results justify the effectiveness of the proposed method and show how it approaches the optimal solution. It also shows that the
proposed schemes for NOMA provide better performance than the orthogonal frequency division multiple access (OFDMA) in terms of the energy efficiency and sum rate
Original language | English |
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Title of host publication | IEEE Vehicular Technology Conference |
Publisher | IEEE Computer Society |
DOIs | |
Publication status | Published - 2017 |
Event | 2017 IEEE 85th Vehicular Technology Conference - Sydney, Australia Duration: 4 Jun 2017 → 7 Jun 2017 http://www.ieeevtc.org/vtc2017spring/ |
Conference
Conference | 2017 IEEE 85th Vehicular Technology Conference |
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Abbreviated title | VTC2017-Spring |
Country/Territory | Australia |
City | Sydney |
Period | 4/06/17 → 7/06/17 |
Internet address |