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Power allocation scheme for downlink and uplink NOMA networks

机译:下行和上行NOMA网络的功率分配方案

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摘要

Resource allocation problem is a key issue in multi-carrier non-orthogonal multiple access (NOMA) networks. Maximum access problem and power allocation problem are two important problems in resource allocation problem. In this study, two algorithms are proposed to solve the two problems for multi-carrier NOMA networks, namely mixed integer programming algorithm (MIPA) and dynamic power allocation algorithm (DPAA). In order to solve the maximum access problem, a MIPA is proposed in uplink multi-carrier NOMA networks. For the power allocation problem, a DPAA is proposed in downlink multi-carrier NOMA networks. Simulation results show that MIPA can increase the number of supported users compared to other schemes, DPAA can improve user data rate by increasing mean channel quality indicator and make power allocation more reasonable. According to DPAA, the gains of weighted sum-rate utility per subcarrier can be improved with the increase in the number of subcarriers. Simulation results also show that the proposed scheme is superior to reservation channel technique in terms of the probability of call dropping and probability of call blocking.
机译:资源分配问题是多载波非正交多址(NOMA)网络中的关键问题。最大访问问题和功率分配问题是资源分配问题中的两个重要问题。本文提出了两种算法来解决多载波NOMA网络的两个问题,即混合整数规划算法(MIPA)和动态功率分配算法(DPAA)。为了解决最大接入问题,在上行多载波NOMA网络中提出了MIPA。对于功率分配问题,在下行链路多载波NOMA网络中提出了DPAA。仿真结果表明,与其他方案相比,MIPA可以增加支持的用户数量,DPAA可以通过增加平均信道质量指标来提高用户数据速率,并使功率分配更加合理。根据DPAA,随着子载波数量的增加,可以提高每个子载波的加权总和利用率的增益。仿真结果还表明,该方案在掉话概率和阻塞概率上均优于预留信道技术。

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