Noma for Massive Cellular Internet of Thing

IEEE Internet of Things Journal, 2019

To support Machine Type Communications (MTC) in next generation mobile networks, NarrowBand-IoT (NB-IoT) has been released by the Third Generation Partnership Project (3GPP) as a promising solution to provide extended coverage and low energy consumption for low cost MTC devices. However, the existing Orthogonal Multiple Access (OMA) scheme in NB-IoT cannot provide connectivity for a massive number of MTC devices. In parallel with the development of NB-IoT, Non-Orthogonal Multiple Access (NOMA), introduced for the fifth generation wireless networks, is deemed to significantly improve the network capacity by providing massive connectivity through sharing the same spectral resources. To leverage NOMA in the context of NB-IoT, we propose a power domain NOMA scheme with user clustering for an NB-IoT system. In particular, the MTC devices are assigned to different ranks within the NOMA clusters where they transmit over the same frequency resources. Then, we formulate an optimization problem to maximize the total throughput of the network by optimizing the resource allocation of MTC devices and NOMA clustering while satisfying the transmission power and quality of service requirements. We prove the NP-hardness of the proposed optimization problem. We further design an efficient heuristic algorithm to solve the proposed optimization problem by jointly optimizing NOMA clustering and resource allocation of MTC devices. Furthermore, we prove that the reduced optimization problem of power control is a convex optimization task. Simulation results are presented to demonstrate the efficiency of the proposed scheme.

IEEE Access, 2023

Non-orthogonal multiple access (NOMA) is a multiple access technology that can provide efficient spectrum utilization and increased channel capacity on Internet of Things (IoT) networks. One factor affecting NOMA system performance in the IoT network is the allocation of power for each NOMA user. To improve the channel capacity of the system, this paper presents a method for optimizing power allocation for NOMA in an IoT network with a Lagrange multiplier using the Karush-Kuhn-Tucker (KKT) condition. The optimization will result in an optimal power allocation solution to maximize the system channel capacity with the maximum transmit power constraint function and the minimum data rate for NOMA users. The channel capacity achieved by the system was observed in the Nakagami-m fading channel with imperfect successive interference cancellation (imp-SIC). The proposed power allocation method was compared with orthogonal multiple access (OMA) and the conventional NOMA (C-NOMA) power allocation techniques. The results show that the proposed power allocation coefficient optimization solution with the Lagrange multiplier using the KKT conditions significantly increases the channel capacity of the system compared to the OMA and C-NOMA methods. INDEX TERMS non-orthogonal multiple access (NOMA), massive IoT, Nakagami-m fading, capacity, power allocation, successive interference cancellation (SIC).

IEEE Access

Non-orthogonal multiple access (NOMA) is a multiple access technology that can provide efficient spectrum utilization and increased channel capacity on Internet of Things (IoT) networks. One factor affecting NOMA system performance in the IoT network is the allocation of power for each NOMA user. To improve the channel capacity of the system, this paper presents a method for optimizing power allocation for NOMA in an IoT network with a Lagrange multiplier using the Karush-Kuhn-Tucker (KKT) condition. The optimization will result in an optimal power allocation solution to maximize the system channel capacity with the maximum transmit power constraint function and the minimum data rate for NOMA users. The channel capacity achieved by the system was observed in the Nakagami-m fading channel with imperfect successive interference cancellation (imp-SIC). The proposed power allocation method was compared with orthogonal multiple access (OMA) and the conventional NOMA (C-NOMA) power allocation techniques. The results show that the proposed power allocation coefficient optimization solution with the Lagrange multiplier using the KKT conditions significantly increases the channel capacity of the system compared to the OMA and C-NOMA methods. INDEX TERMS Non-orthogonal multiple access (NOMA), massive IoT, Nakagami-m fading, capacity, power allocation, successive interference cancellation (SIC).

RESTECH 2016 (Research, Education, Science and Technology Colloqium 2016), Jabatan Kejuruteraan Awam, Politeknik Merlimau, Melaka, 2016

This article presents a review of the Non-orthogonal multiple access (NOMA) as a promising candidate multiple access technology for the preparation development of Internet of things (IoT) and the 5th generation (5G) wireless communications. The Non-orthogonal multiple access or NOMA utilizing the power domain and advanced receiver to address the challenges in 5G technologies such as higher spectral efficiency, massive connectivity, and lower latency in radio access technologies. The key components technologies of NOMA are presented and discussed to compare between other candidates and enclose the benefit of NOMA including the basic principles of NOMA techniques.

2021 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit), 2021

We study the problem of maximizing the number of served devices in a non-orthogonal multiple access (NOMA) based Narrowband Internet of Things (NB-IoT) network for supporting massive connectivity in the downlink. We analyze this problem under practical system limitations of imperfect successive interference cancellation (SIC) at the receiver along with data rate, power and bandwidth constraints. We propose a strategy for joint device and power allocation through an iterative solution for a system of linear equations on each sub-carrier that maximizes the number of connected devices. We evaluate the performance of the proposed solution over a wide range of service scenarios through extensive computer simulations and demonstrate the sensitivity of connectivity in power domain NOMA based NB-IoT systems to the residual interference resulting from imperfect SIC.

Wiley 5G Ref, 2019

Due to massive connectivity and increasing demands of various services and datahungry applications, a full-scale implementation of the fifth generation (5G) wireless systems requires more effective radio access techniques. In this regard, non-orthogonal multiple access (NOMA) has recently gained ever-growing attention from both academia and industry. Compared to orthogonal multiple access (OMA) techniques, NOMA is superior in terms of spectral efficiency and is thus appropriate for 5G and Beyond. In this article, we provide an overview of NOMA principles and applications. Specifically, the article discusses the fundamentals of power-domain NOMA with single and multiple antennas in both uplink and downlink settings. In addition, the basic principles of code-domain NOMA are elaborated. Further, the article explains various resource allocation techniques such as user pairing and power allocation for NOMA systems; discusses the basic form of cooperative NOMA and its variants; and addresses several opportunities and challenges associated with the compatibility of NOMA with other advanced communication paradigms such as heterogeneous networks and millimeter wave communications.

As the latest member of the multiple access family, non-orthogonal multiple access (NOMA) has been recently proposed for 3GPP Long Term Evolution (LTE) and envisioned to be an essential component of 5th generation (5G) mobile networks. The key feature of NOMA is to serve multiple users at the same time/frequency/code, but with different power levels, which yields a significant spectral efficiency gain over conventional orthogonal MA. This article provides a systematic treatment of this newly emerging technology, from its combination with multiple-input multiple-output (MIMO) technologies, to cooperative NOMA, as well as the interplay between NOMA and cognitive radio. This article also reviews the state of the art in the standardization activities concerning the implementation of NOMA in LTE and 5G networks.

INTL JOURNAL OF ELECTRONICS AND TELECOMMUNICATIONS,, 2022

Non-Orthogonal Multiple Access (NOMA) in the fifth generation (5G) system is one of the optimistic technologies for wireless radio access networks. Compared to orthogonal multiple accesses (OMA) reduce the spectral efficiency; NOMA provides the best solution by increasing the data rates. This study evaluates NOMA with a downlink in the automatic deployment of multiusers. The outage performance and ergotic sum-rate gain give the NOMA better performance can be concluded at the final results. NOMA provides the Quality of Service (QoS) to the multi-users by considering the power allocation and data rate factors. Here is considered the outage probability will be 1 when it identifies the different user and allocates the data rate and power.

2021

The proliferation of technologies like Internet of Things (IoT) and Industrial IoT (IIoT) has led to rapid growth in the number of connected devices and the volume of data associated with IoT applications. It is expected that more than 125 billion IoT devices will be connected to the Internet by 2030. With the plethora of wireless IoT devices, we are moving towards the connected world which is the guiding principle for the IoT. The next generation of IoT network should be capable of interconnecting heterogeneous IoT sensor or devices for effective Device-to-Device (D2D), Machine-to-Machine (M2M) communications as well as facilitating various IoT services and applications. Therefore, the next generation of IoT networks is expected to meet the capacity demand of such a network of billions of IoT devices. The current underlying wireless network is based on Orthogonal Multiple Access (OMA) by assigning orthogonal resources to multiple users. OMA cannot serve multiple IoT devices simulta...

IEEE Access

Over the last few years, interference has been a major hurdle for successfully implementing various end-user applications in the fifth-generation (5G) of wireless networks. During this era, several communication protocols and standards have been developed and used by the community. However, interference persists, keeping given quality of service (QoS) provision to end-users for different 5G applications. To mitigate the issues mentioned above, in this paper, we present an in-depth survey of state-of-the-art non-orthogonal multiple access (NOMA) variants having power and code domains as the backbone for interference mitigation, resource allocations, and QoS management in the 5G environment. These are future smart communication and supported by device-to-device (D2D), cooperative communication (CC), multiple-input and multiple-output (MIMO), and heterogeneous networks (HetNets). From the existing literature, it has been observed that NOMA can resolve most of the issues in the existing proposals to provide contention-based grant-free transmissions between different devices. The key differences between the orthogonal multiple access (OMA) and NOMA in 5G are also discussed in detail. Moreover, several open issues and research challenges of NOMA-based applications are analyzed. Finally, a comparative analysis of different existing proposals is also discussed to provide deep insights to the readers. INDEX TERMS NOMA, OMA, uplink, downlink, device-to-device, machine-to-machine. • We present a comprehensive review on the PD-NOMA and CD-NOMA to study the various challenges associated with them. The basic principle of NOMA and its standards, advantages, challenges, and solutions are studied.