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Energy Efficient Resource Allocation in Terahertz Downlink NOMA Systems
IEEE Transactions on Communications ( IF 8.3 ) Pub Date : 2020-11-16 , DOI: 10.1109/tcomm.2020.3037597
Haijun Zhang , Yanan Duan , Keping Long , Victor C. M. Leung

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.

中文翻译:

太赫兹下行链路NOMA系统中的节能资源分配

太赫兹(THz)频段由于其优越的高频和较大的可用带宽而引起了人们的极大兴趣。太赫兹可能在第六代(6G)移动通信网络中起着至关重要的作用。在本文中,我们将下行链路非正交多址访问(NOMA)技术引入THz频段小型小区网络,其中考虑了两种关键的启用技术,从而优化了总体性能。为了减少由无线服务增加引起的能耗,我们通过解决子信道分配和功率优化问题,非常关注THz-NOMA下行链路系统中的能效(EE)优化和资源分配。我们首先通过利用THz-NOMA网络的关键特性为THz-NOMA下行链路系统开发信道模型。然后我们利用Dinkelbach风格的算法来解决资源分配问题,并将其分解为两个子问题。开发了子信道分配算法和基于乘法器交替方向法的功率优化算法。最后,为了体现THz-NOMA性能的优势,我们将我们提出的方案与常规方案进行了比较。仿真结果产生了更高的EE,并进一步证明了我们提出的方案的可用性。我们将我们提出的方案与传统方案进行比较。仿真结果产生了更高的EE,并进一步证明了我们提出的方案的可用性。我们将我们提出的方案与传统方案进行比较。仿真结果产生了更高的EE,并进一步证明了我们提出的方案的可用性。
更新日期:2020-11-16
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