Journal
IEEE TRANSACTIONS ON COMMUNICATIONS
Volume 69, Issue 2, Pages 1375-1384Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TCOMM.2020.3037597
Keywords
NOMA; Optimization; Downlink; Interference; Resource management; Silicon carbide; Signal to noise ratio; THz; NOMA; power optimization; subchannel assignment; energy efficiency
Funding
- National Key R&D Program of China [2019YFB1803304]
- National Natural Science Foundation of China [61822104, 61771044]
- 111 Project [B170003]
- Fundamental Research Funds for the Central Universities [FRF-TP-19-002C1, RC1631]
- Beijing Top Discipline for Artificial Intelligent Science and Engineering, University of Science and Technology Beijing
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This paper introduces the NOMA technology into THz band small cell networks to optimize total performance and decrease energy consumption. Through establishing a channel model and utilizing algorithms, resource allocation and power optimization problems are solved to obtain solutions. By comparing with conventional schemes, the proposed schemes are proven to show substantially higher energy efficiency.
Terahertz (THz) band has attracted considerable interest recently due to its superior high frequency and large available bandwidth. THz could act a vital part in the sixth generation (6G) mobile communication networks. In this paper, we introduce the downlink non-orthogonal multiple access (NOMA) technology into THz band small cell networks, where the total performance is optimized considering the two key enabling technologies. In order to decrease the energy consumption triggered by increasing of wireless services, we pay great attention to energy efficiency (EE) optimization and resource allocation in the THz-NOMA downlink systems by solving the subchannel assignment and power optimization. We first exploit a channel model for the THz-NOMA downlink system by using the key features of THz-NOMA networks. Then we utilize Dinkelbach-style algorithm to solve the resource allocation problem and decompose it into two subproblems. A subchannel assignment algorithm and a power optimization based on alternative direction method of multipliers (ADMM) algorithm are developed to get the solution. Finally, to embody the strengths of THz-NOMA performance, we compare our proposed schemes against the conventional schemes. Simulation results yield substantially higher EE and further prove the availability of our proposed schemes.
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