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Joint energy efficient power and subchannel allocation for uplink MC‐NOMA networks
International Journal of Communication Systems ( IF 1.7 ) Pub Date : 2020-09-11 , DOI: 10.1002/dac.4606 Bushra Rashid 1 , Ayaz Ahmad 1 , Sajid Saleem 2 , Aimal Khan 3
International Journal of Communication Systems ( IF 1.7 ) Pub Date : 2020-09-11 , DOI: 10.1002/dac.4606 Bushra Rashid 1 , Ayaz Ahmad 1 , Sajid Saleem 2 , Aimal Khan 3
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Due to the exponential rise in the number of subscribers in existing wireless networks, energy‐efficient distribution and utilization of network resources have become the preliminary objective of researchers nowadays. Nonorthogonal multiple access (NOMA) has attained widespread significance in this regard and has become a strong candidate for enhancing energy efficiency (EE) performance of existing networks. Multicarrier NOMA (MC‐NOMA) technique is an extension of NOMA that breaks the available resource block into various subchannels and allocates them efficiently to NOMA users (NUs). MC‐NOMA networks have the ability to further enhance system performance by efficiently exploiting channel diversity for addressing the problems of spectral inefficiency and power limitations. Therefore, in this paper, we have considered MC‐NOMA technology for an uplink scenario to investigate its performance for enhancing system EE by performing energy‐efficient power and subchannel allocation. To this end, we have formulated a joint user clustering, subchannel allocation, and power allocation problem for EE maximization (JSPEE) of uplink MC‐NOMA scenario. Due to the nonconvex, combinatorial nature of the problem, we propose a two‐step solution: that is, for each subchannel, first, subchannel allocation and user clustering are attained through low‐complexity suboptimal algorithm, which is followed by energy‐efficient power allocation of NUs. For subchannel allocation and user clustering, we exploit the channel diversity in the form of difference in channel gain values of various users. For power allocation, the nonconvex nature of the formulated problem is tackled by employing Dinkelbach and successive convex approximation (SCA) techniques to attain an energy‐efficient solution. Our simulation results portray that the JSPEE algorithm clearly outperforms the current NOMA as well as OMA works and enhances the system EE by efficient user clustering and exploiting channel diversity.
中文翻译：
上行MC-NOMA网络的联合节能电源和子信道分配
由于现有无线网络中用户的数量呈指数级增长，如今，能源高效分配和利用网络资源已成为研究人员的首要目标。非正交多路访问（NOMA）在这方面已获得广泛的意义，并已成为增强现有网络的能效（EE）性能的有力候选者。多载波NOMA（MC‐NOMA）技术是NOMA的扩展，它将可用资源块分成多个子信道，并将其有效分配给NOMA用户（NU）。MC‐NOMA网络具有通过有效利用信道分集来解决频谱效率低和功率限制问题的能力，从而进一步提高系统性能。因此，在本文中，我们考虑将MC‐NOMA技术用于上行链路场景，以研究其通过执行节能型功率和子信道分配来增强系统EE的性能。为此，我们为上行链路MC-NOMA方案的EE最大化（JSPEE）制定了联合用户群集，子信道分配和功率分配问题。由于问题的非凸性，组合性，我们提出了两步解决方案：即，对于每个子信道，首先，通过低复杂度次优算法来实现子信道分配和用户聚类，其次是节能功率分配NU。对于子信道分配和用户群集，我们以各种用户的信道增益值差异的形式利用信道多样性。对于功率分配，通过采用Dinkelbach和逐次凸逼近（SCA）技术来解决节能问题，可以解决公式化问题的非凸性质。我们的仿真结果表明，通过有效的用户聚类和利用信道多样性，JSPEE算法明显胜过了当前的NOMA和OMA，并增强了系统EE。
更新日期：2020-10-16
中文翻译：
上行MC-NOMA网络的联合节能电源和子信道分配
由于现有无线网络中用户的数量呈指数级增长，如今，能源高效分配和利用网络资源已成为研究人员的首要目标。非正交多路访问（NOMA）在这方面已获得广泛的意义，并已成为增强现有网络的能效（EE）性能的有力候选者。多载波NOMA（MC‐NOMA）技术是NOMA的扩展，它将可用资源块分成多个子信道，并将其有效分配给NOMA用户（NU）。MC‐NOMA网络具有通过有效利用信道分集来解决频谱效率低和功率限制问题的能力，从而进一步提高系统性能。因此，在本文中，我们考虑将MC‐NOMA技术用于上行链路场景，以研究其通过执行节能型功率和子信道分配来增强系统EE的性能。为此，我们为上行链路MC-NOMA方案的EE最大化（JSPEE）制定了联合用户群集，子信道分配和功率分配问题。由于问题的非凸性，组合性，我们提出了两步解决方案：即，对于每个子信道，首先，通过低复杂度次优算法来实现子信道分配和用户聚类，其次是节能功率分配NU。对于子信道分配和用户群集，我们以各种用户的信道增益值差异的形式利用信道多样性。对于功率分配，通过采用Dinkelbach和逐次凸逼近（SCA）技术来解决节能问题，可以解决公式化问题的非凸性质。我们的仿真结果表明，通过有效的用户聚类和利用信道多样性，JSPEE算法明显胜过了当前的NOMA和OMA，并增强了系统EE。
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