Maximizing Connection Density in NB-IoT Networks with NOMA

Mishra, Shashwat; Salaün, Lou; Chen, Chung Shue

doi:10.1109/vtc2020-spring48590.2020.9129542

Cited by 10 publications

(3 citation statements)

References 9 publications

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“…In [16], the authors dealt with the connection density maximization problem in NB-IoT networks by using NOMA. The authors used the bottom-up power filling algorithm and proposed item clustering heuristic approach which allows any number of devices to be multiplexed per sub-carrier.…”

Section: Article Covered Aspects In the Contributionsmentioning

confidence: 99%

Cooperative Scheduler to Enhance Massive Connectivity in 5G and Beyond by Minimizing Interference in OMA and NOMA

Mwakwata

Elgarhy

Alam

et al. 2022

IEEE Systems Journal

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The fifth-generation (5G) and beyond 5G (B5G) wireless networks introduced massive machine-type communications (mMTC) to cope with the growing demand of massive Internet of things (IoT) applications. However, the heterogeneous characteristics of massive IoT and diverse quality of service (QoS) requirements may lead to severe interference that could degrade the expected QoS of the cellular ecosystem.Therefore, this paper studies the impact of interference caused by mMTC connections. We theoretically model the inter-cell interference (ICI) minimization problem for the existing orthogonal multiple access (OMA) technique and propose its corresponding solution. Furthermore, we jointly solve the ICI and the co-channel interference minimization problem for the IoT users when the non-orthogonal multiple access (NOMA) technique is used. For the proposed OMA and NOMA schemes, we design a cooperative scheduler to reduce the impact of such interference. The results show that our proposed schemes provide up to 58%, 75%, and 100% more improvements in terms of user's data rates, energy consumption, and connection density, respectively

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Section: Article Covered Aspects In the Contributionsmentioning

confidence: 99%

Cooperative Scheduler to Enhance Massive Connectivity in 5G and Beyond by Minimizing Interference in OMA and NOMA

Mwakwata

Elgarhy

Alam

et al. 2022

IEEE Systems Journal

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“…Authors in [23] address the problem of uplink connectivity maximization in an NB-IoT system, providing heuristic solutions employing combinatorial optimization. This work solves the connectivity maximization problem under interference, rate and sub-carrier availability constraints and the solutions developed are applicable to any number of superposed devices per sub-carrier.…”

Section: A Related Workmentioning

confidence: 99%

Downlink Connection Density Maximization for NB-IoT Networks Using NOMA With Perfect and Partial CSI

Mishra

Salaün

Sung

et al. 2021

IEEE Internet Things J.

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We address the issue of maximizing the number of connected devices in a Narrowband Internet of Things (NB-IoT) network using non-orthogonal multiple access (NOMA) in the downlink. We first propose an optimal joint sub-carrier and power allocation strategy assuming perfect channel state information (CSI) called Stratified Device Allocation (SDA), that maximizes the connectivity under data rate, power and bandwidth constraints. Then, we generalize the connectivity maximization problem to the case of partial CSI, where only the distancedependent path-loss component of the channel gain is available at the base station (BS). We introduce a novel framework called the Stochastic Connectivity Optimization (SCO) framework. In this framework, we propose a heuristic improvement to SDA namely SDA with Excess Power (SDA-EP) algorithm for operation under partial CSI. Furthermore, we derive a concave approximation (SCO-CA) algorithm of near-optimal performance to SCO given the same amount of CSI. Through computer simulations, we show that SDA-EP and SCO-CA outperform conventional NOMA and OMA schemes in the presence of partial CSI over a wide range of service scenarios.

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“…The works in [14], [15] consider a joint sub-carrier and power allocation problem to maximize the uplink connection density in NB-IoT NOMA networks while taking the QoS requirements and the transmit power constraints of IoT devices into account. The results of these works show that using NOMA in the uplink of NB-IoT networks provides significant gain in connectivity over the current state-of-the-art solutions in terms of connection density.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Downlink Connectivity in NB-IoT Networks Employing NOMA with Imperfect SIC

Mishra

Salaün

Chen

et al. 2021

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

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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.

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Maximizing Connection Density in NB-IoT Networks with NOMA

Cited by 10 publications

References 9 publications

Cooperative Scheduler to Enhance Massive Connectivity in 5G and Beyond by Minimizing Interference in OMA and NOMA

Cooperative Scheduler to Enhance Massive Connectivity in 5G and Beyond by Minimizing Interference in OMA and NOMA

Downlink Connection Density Maximization for NB-IoT Networks Using NOMA With Perfect and Partial CSI

Analysis of Downlink Connectivity in NB-IoT Networks Employing NOMA with Imperfect SIC

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