{"title":"能量收集中继辅助 NOMA NB-IoT 网络中资源分配和 SIC 排序的联合优化","authors":"Li Ping Qian;Suru Zhou;Mengru Wu;Yuan Wu","doi":"10.1109/TGCN.2023.3330481","DOIUrl":null,"url":null,"abstract":"Non-orthogonal multiple access (NOMA) and energy-harvesting (EH) relay have been envisioned as promising technologies in Narrowband Internet of Things (NB-IoT) networks to efficiently improve the spectral-energy efficiency of networks and the massive connectivity of devices. However, the successive interference cancellation (SIC) ordering of NOMA has become a bottleneck affecting the performance of uplink transmission in NB-IoT networks. Also, while using NOMA, the data rate based fairness across NB-IoT devices cannot be ensured due to the difference between individual channels. To address these issues, this paper investigates the integration of NOMA and EH relay into the NB-IoT network. Correspondingly, we aim to maximize the data rate based proportional fairness across all NB-IoT devices by jointly optimizing the resource allocation and SIC ordering. We first prove the NP-hardness of this joint optimization problem and then tackle this mathematically intractable problem by decomposing it into resource allocation and SIC ordering problems. To solve the resource allocation problem, we exploit the convexity of the problem through transformation and reparameterization and then derive the optimal solution based on its Lagrangian function. We also propose a low-complexity SIC ordering algorithm by leveraging tabu search to obtain the sub-optimal SIC ordering. Simulation results validate the effectiveness of the proposed algorithm and the superiority of NOMA compared to frequency division multiple access (FDMA).","PeriodicalId":13052,"journal":{"name":"IEEE Transactions on Green Communications and Networking","volume":null,"pages":null},"PeriodicalIF":5.3000,"publicationDate":"2023-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Joint Optimization of Resource Allocation and SIC Ordering in Energy-Harvesting Relay-Aided NOMA NB-IoT Networks\",\"authors\":\"Li Ping Qian;Suru Zhou;Mengru Wu;Yuan Wu\",\"doi\":\"10.1109/TGCN.2023.3330481\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Non-orthogonal multiple access (NOMA) and energy-harvesting (EH) relay have been envisioned as promising technologies in Narrowband Internet of Things (NB-IoT) networks to efficiently improve the spectral-energy efficiency of networks and the massive connectivity of devices. However, the successive interference cancellation (SIC) ordering of NOMA has become a bottleneck affecting the performance of uplink transmission in NB-IoT networks. Also, while using NOMA, the data rate based fairness across NB-IoT devices cannot be ensured due to the difference between individual channels. To address these issues, this paper investigates the integration of NOMA and EH relay into the NB-IoT network. Correspondingly, we aim to maximize the data rate based proportional fairness across all NB-IoT devices by jointly optimizing the resource allocation and SIC ordering. We first prove the NP-hardness of this joint optimization problem and then tackle this mathematically intractable problem by decomposing it into resource allocation and SIC ordering problems. To solve the resource allocation problem, we exploit the convexity of the problem through transformation and reparameterization and then derive the optimal solution based on its Lagrangian function. We also propose a low-complexity SIC ordering algorithm by leveraging tabu search to obtain the sub-optimal SIC ordering. Simulation results validate the effectiveness of the proposed algorithm and the superiority of NOMA compared to frequency division multiple access (FDMA).\",\"PeriodicalId\":13052,\"journal\":{\"name\":\"IEEE Transactions on Green Communications and Networking\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":5.3000,\"publicationDate\":\"2023-11-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Transactions on Green Communications and Networking\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10310244/\",\"RegionNum\":2,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"TELECOMMUNICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Green Communications and Networking","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10310244/","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"TELECOMMUNICATIONS","Score":null,"Total":0}
引用次数: 0
摘要
非正交多址接入(NOMA)和能量收集(EH)中继被认为是窄带物联网(NB-IoT)网络中很有前景的技术,可有效提高网络的频谱能效和设备的海量连接。然而,NOMA 的连续干扰消除(SIC)排序已成为影响 NB-IoT 网络上行链路传输性能的瓶颈。此外,在使用 NOMA 时,由于各个信道之间的差异,无法确保 NB-IoT 设备之间基于数据速率的公平性。为了解决这些问题,本文研究了如何将 NOMA 和 EH 中继集成到 NB-IoT 网络中。相应地,我们的目标是通过联合优化资源分配和 SIC 排序,最大限度地提高所有 NB-IoT 设备的数据传输速率。我们首先证明了这一联合优化问题的 NP 难度,然后通过将其分解为资源分配和 SIC 排序问题来解决这一数学上难以解决的问题。为了解决资源分配问题,我们通过变换和重参数化利用了问题的凸性,然后根据其拉格朗日函数推导出最优解。我们还提出了一种低复杂度的 SIC 排序算法,利用塔布搜索获得次优 SIC 排序。仿真结果验证了所提算法的有效性,以及 NOMA 与频分多址(FDMA)相比的优越性。
Joint Optimization of Resource Allocation and SIC Ordering in Energy-Harvesting Relay-Aided NOMA NB-IoT Networks
Non-orthogonal multiple access (NOMA) and energy-harvesting (EH) relay have been envisioned as promising technologies in Narrowband Internet of Things (NB-IoT) networks to efficiently improve the spectral-energy efficiency of networks and the massive connectivity of devices. However, the successive interference cancellation (SIC) ordering of NOMA has become a bottleneck affecting the performance of uplink transmission in NB-IoT networks. Also, while using NOMA, the data rate based fairness across NB-IoT devices cannot be ensured due to the difference between individual channels. To address these issues, this paper investigates the integration of NOMA and EH relay into the NB-IoT network. Correspondingly, we aim to maximize the data rate based proportional fairness across all NB-IoT devices by jointly optimizing the resource allocation and SIC ordering. We first prove the NP-hardness of this joint optimization problem and then tackle this mathematically intractable problem by decomposing it into resource allocation and SIC ordering problems. To solve the resource allocation problem, we exploit the convexity of the problem through transformation and reparameterization and then derive the optimal solution based on its Lagrangian function. We also propose a low-complexity SIC ordering algorithm by leveraging tabu search to obtain the sub-optimal SIC ordering. Simulation results validate the effectiveness of the proposed algorithm and the superiority of NOMA compared to frequency division multiple access (FDMA).