Energy-Efficient Resource Allocation for NOMA-Based Heterogeneous 5G Mine Internet of Things

Abstract

The Mine Internet of Things (MIoT), as an application paradigm of the IoT in mine environment, realizes the state perception and information interaction by connecting massive smart sensing devices deployed in mine, plays an important role in coal mine production. The fifth-generation (5G) is a key enabling technology to provide an efficient and reliable communication link guarantee for MIoT networks. To meet the increasing demand for huge amounts of data transmission, a NOMA-based heterogeneous MIoT communication system is proposed. In this paper, different types of mine smart devices can occupy the same subchannel resources for data transmission by the NOMA technology, which improves the device access and spectrum utilization of the MIoT system. We aim to maximize the energy efficiency (EE) of all small cell networks via power allocation and subchannel assignment. Under the imperfect channel state information (CSI), a joint power allocation and subchannel assignment iterative algorithm is proposed. Specifically, firstly, by considering the cross-layer interference power constraints, maximum power constraints and QoS constraints, the EE optimization problem is formulated as a mixed integer nonlinear fractional programming problem. Secondly, the uncertain CSI is modeled as an elliptical uncertainty set, and the original problem is transformed into an equivalent convex optimization form by using the Dinkelbach method. Finally, an approximate solution is obtained by using the Lagrangian dual approach. The numerical results validate the effectiveness of the proposed algorithm and significantly show its superior performance as compared with the baseline algorithms.INDEX TERMS Coal mine, 5G, internet of things (IoT), non-orthogonal multiple access (NOMA), heterogeneous network (HetNet), energy efficient, imperfect channel state information

Resource allocation in paired users: Optimization‐assisted user grouping for fairness improvement of NOMA

“…In this paper, the resource allocation problem considers different constraints of maximization of C 3 , the spectrum efficiency E S ð Þ, and the energy efficiency E E ð Þ with the lowest rate necessity of individual users in a hybrid MC-NOMA system. These multi-constraints are designed into a single objective function, where Fit expose the total fitness as specified in Equation (7), where W 1 , W 2 , and W 3 are the weight of channel correlation coefficient, spectrum efficiency, and energy efficiency, respectively. Equation ( 8) illustrates the overall objective function of the proposed system.…”

“…Recently, NOMA has become a promising technology that can meet the needs of 5G while addressing the problems with spectrum shortage. Allowing numerous users to access nonorthogonal spectrum at the same time, frequency, and coding is the primary tenet of NOMA 6–9 . The superposition coding technique can be used at transmitters to multiplex the signals between these users.…”

“…NOMA. [6][7][8][9] The superposition coding technique can be used at transmitters to multiplex the signals between these users. At the receivers, the SIC method is used for the decoding procedure.…”

Use-Case-Oriented Evaluation of Wireless Communication Technologies for Advanced Underground Mining Operations

“…However, it is difficult to evaluate both in the context of underground mining. Both technologies are explored for their application in active mines [ 64 ], whereas LTE and Wi-Fi 2.4 GHz have already been adapted and used in various use cases.…”

Periodic Monitoring and Filtering Suppression of Signal Interference in Mine 5G Communication

“…With the development of intelligent mines, 5G systems have been successfully deployed in demonstration mines in China. At the same time, 5G-based mine IoT applications, such as unmanned driving, intelligent video, unmanned work surfaces, industrial control, and intelligent robot inspection, have been or are about to be successfully implemented [6][7][8].…”