6533b7d7fe1ef96bd12690f5
RESEARCH PRODUCT
Energy-Efficient and Secure Resource Allocation for Multiple-Antenna NOMA with Wireless Power Transfer
Bjorn OtterstenTapani RistaniemiLei LeiZheng ChangSymeon ChatzinotasZhu HanHuaqing Zhangsubject
Computer Networks and CommunicationsOrthogonal frequency-division multiplexingComputer sciencewireless power transfer02 engineering and technologysecurityNoma0203 mechanical engineering0202 electrical engineering electronic engineering information engineeringmedicineWirelessResource managementta113: Computer science [C05] [Engineering computing & technology]ta213Renewable Energy Sustainability and the Environmentbusiness.industry020206 networking & telecommunications020302 automobile design & engineeringnon-orthogonal multiple access (NOMA)medicine.disease: Sciences informatiques [C05] [Ingénierie informatique & technologie]power allocationSingle antenna interference cancellationChannel state informationResource allocationsubchannel allocationbusinessEfficient energy useComputer networkdescription
Non-orthogonal multiple access (NOMA) is considered as one of the promising techniques for providing high data rates in the fifth generation mobile communication. By applying successive interference cancellation schemes and superposition coding at the NOMA receiver, multiple users can be multiplexed on the same subchannel. In this paper, we investigate resource allocation algorithm design for an OFDM-based NOMA system empowered by wireless power transfer. In the considered system, users who need to transmit data can only be powered by the wireless power transfer. With the consideration of an existing eavesdropper, the objective is to obtain secure and energy efficient transmission among multiple users by optimizing time, power and subchannel allocation. Moreover, we also take into consideration for the practical case that the statistics of the channel state information of the eavesdropper is not available. In order to address the optimization problem and its high computational complexity, we propose an iterative algorithm with guaranteed convergence to deliver an upper bound and a suboptimal solution in more general cases. For some special cases, we identify the optimality condition that ensures the global optimum in our algorithm. Extensive simulation studies demonstrate the competitiveness and effectiveness of the proposed algorithmic solution over conventional OFDMA systems as well as over other existing NOMA resource allocation schemes. peerReviewed
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2018-12-01 |