Network Utility Maximization Resource Allocation for NOMA in Satellite-Based Internet of Things

Jiao, Jian; Sun, Yunyu; Wu, Shaohua; Wang, Ye; Zhang, Qinyu

doi:10.1109/jiot.2020.2966503

Cited by 84 publications

(30 citation statements)

References 32 publications

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“…NOMA could therefore be used as a candidate multiple access scheme for S-IoT. While some studies have attempted to apply NOMA to S-IoT, these works mainly solve certain specific problems in its application, including beamforming [ 21 ], downlink resource allocation [ 22 ], and robust design [ 23 ]. An asynchronous flipped SCMA scheme was proposed in [ 24 ].…”

Section: Related Workmentioning

confidence: 99%

An Intelligent Load Control-Based Random Access Scheme for Space-Based Internet of Things

Fei

Jiang

et al. 2021

Sensors

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Random access is one of the most competitive multiple access schemes for future space-based Internet of Things (S-IoT) due to its support for massive connections and grant-free transmission, as well as its ease of implementation. However, firstly, existing random access schemes are highly sensitive to load: once the load exceeds a certain critical value, the throughput will drop sharply due to the increased probability of data collision. Moreover, due to variable satellite coverage and bursty traffic, the network load of S-IoT changes dynamically; therefore, when existing random access schemes are applied directly to the S-IoT environment, the actual throughput is far below the theoretical maximum. Accordingly, this paper proposes an intelligent load control-based random access scheme based on CRDSA++, which is an enhanced version of the contention resolution diversity slotted ALOHA (CRDSA) and extends the CRDSA concept to more than two replicas. The proposed scheme is dubbed load control-based three-replica contention resolution diversity slotted ALOHA (LC-CRDSA3). LC-CRDSA3 actively controls network load. When the load threatens to exceed the critical value, only certain nodes are allowed to send data, and the load is controlled to be near the critical value, thereby effectively improving the throughput. In order to accurately carry out load control, we innovatively propose a maximum likelihood estimation (MLE)-based load estimation algorithm, which estimates the load value of each received frame by making full use of the number of time slots in different states. On this basis, LC-CRDSA3 adopts computational intelligence-based time series forecasting technology to predict the load values of future frames using the historical load values. We evaluated the performance of LC-CRDSA3 through a series of simulation experiments and compared it with CRDSA++. Our experimental results demonstrate that in S-IoT contexts where the load changes dynamically, LC-CRDSA3 can obtain network throughput that is close to the theoretical maximum across a wide load range through accurate load control.

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Section: Related Workmentioning

confidence: 99%

An Intelligent Load Control-Based Random Access Scheme for Space-Based Internet of Things

Fei

Jiang

et al. 2021

Sensors

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“…The smart city transportation system is guided by the framework of the national smart city transportation system to build a smart city transportation system of "high efficiency, good safety, environmental protection, and comfort." Not only improve the management level and the efficiency of the urban traffic system but also provide traffic information services, convenient, high quality, fast, economical, safe, comfortable intelligent traffic, and transportation services; improve timely, accurate, comprehensive, and sufficient information support and information-based decision support for traffic management departments and related enterprises, so as to make the system decision intelligent [15,16]. Many scholars are actively deploying the construction of urban smart city transportation.…”

Section: Related Workmentioning

confidence: 99%

Intelligent City Traffic Scheduling Optimization Based on Internet of Things Communication

Jiang

2021

Wireless Communications and Mobile Computing

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The application of Internet of Things technology in the construction of smart city traffic system is the inevitable choice of smart city traffic system to promote the development of road traffic in the process of urban development. First of all, the traffic in the city, on the basis of the research background and significance, research on the Internet of Things, and wisdom of the construction of the urban traffic are summarized and analyzed; secondly, on the basis of requirement analysis and feasibility analysis, combined with the principles and goals of the construction of the system, the establishment of the model of urban traffic based on Internet of Things and the city’s architecture based on Internet of Things intelligent urban traffic system and design are put forward. Finally, an improved ant colony algorithm is proposed in the aspect of system optimal path algorithm, and its superiority is verified. The results show that complementary networks can significantly improve the robustness of networks. These conclusions provide a theoretical basis for the construction of smart city public transport network traffic scheduling and provide model support for the operation and management of smart city public transport.

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“…For power allocation schemes, fairness optimization problem of multibeam satellite networks was investigated in [35] and [36] to enhance the quality of service (QoS) of each terminal. Network utility maximization problem was solved in [37] considering the network stability control and power allocation optimization in NOMA-based satellite networks.…”

Section: Introductionmentioning

confidence: 99%

Joint User Pairing and Power Allocation for NOMA-Based GEO and LEO Satellite Network

Bian

Cheng

et al. 2021

IEEE Access

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Multi-layer satellite networks (MLSNs) is of great potential for the integrated 5G networks to provide diversified services. However, MLSNs confront frequency interference coordination problem between satellite systems in different orbits. This paper investigates a joint user pairing and power allocation scheme in a non-orthogonal multiple access (NOMA)-based geostationary earth orbit (GEO) and low earth orbit (LEO) satellite network. Specifically, a novel NOMA framework with two uplink receivers, i.e. the GEO and LEO satellites is established where the NOMA groups are formed considering the subcarrier assignment of ground users. To maximize the system capacity, an optimization problem is then introduced subject to the decoding threshold and power consumption. Since the formulated problem is non-convex and mathematically intractable, we decompose it into user pairing and power allocation schemes. In the user pairing scheme, virtual GEO users are generated to transform the multi-user pairing problem into a matching problem and a max-min pairing strategy is adopted to ensure the fairness among NOMA groups. In the power allocation scheme, the non-convex problem is transformed into multiple convex subproblems and solved by iterative algorithm. Simulation results validate the effectiveness and superiority of the proposed schemes when compared with several existing schemes.INDEX TERMS Multi-layer satellite networks, non-orthogonal multiple access, user pairing, power allocation.

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Network Utility Maximization Resource Allocation for NOMA in Satellite-Based Internet of Things

Cited by 84 publications

References 32 publications

An Intelligent Load Control-Based Random Access Scheme for Space-Based Internet of Things

An Intelligent Load Control-Based Random Access Scheme for Space-Based Internet of Things

Intelligent City Traffic Scheduling Optimization Based on Internet of Things Communication

Joint User Pairing and Power Allocation for NOMA-Based GEO and LEO Satellite Network

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