Using NOMA for Enabling Broadcast/Unicast Convergence in 5G Networks

Iradier, Eneko; Montalbán, Jon; Fanari, L.; Angueira, Pablo; Zhang, Liang; Wu, Yiyan; Li, Wei

doi:10.1109/tbc.2020.2981759

Cited by 39 publications

(12 citation statements)

References 21 publications

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“…It is proven that provided the service reception thresholds are unbalanced, the overall gain offered by NOMA can be up to 3 bps/Hz. In practice this gain can be invested in two benefits: 30% higher throughput compared to TDMA solutions [33][34] or a considerable PER reduction [35]. NOMA will always outperform TDM/FDM, provided an efficient enough channel coding mechanism is used.…”

Section: A Non-orthogonal Multiple Access (Noma)mentioning

confidence: 99%

NOMA-Based 802.11n for Industrial Automation

et al. 2020

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Industry 4.0 and Industrial Internet refer to the expected revolution in production, utility management and, in general, fully automated, interconnected and digitally managed industrial ecosystems. One of the key enablers for Industry 4.0 lies on reliable and timely exchange of information and large scale deployment of wireless communications in industry facilities. Wireless will bring solutions to overcome the main drawbacks of the current wired systems: lack of mobility, deployment costs, cable damage dependency and scalability. However, the strict requirements in reliability and latency of use cases such as Factory Automation (FA) and Process Automation (PA) are still a major challenge and a barrier for massive deployment of currently available wireless standards. This paper proposes a PHY/MAC wireless communication solution for FA and PA based on Non-Orthogonal Multiple Access (NOMA) in combination with the 802.11n standard. The communication system proposed aims at delivering two different sets of services. The first service class is composed of Critical Services (CS) with strict restrictions in reliability and latency. The same communication system should convey also a second group of services, referred as Best Effort (BE) with more relaxed boundary conditions. The proposal theoretical background, a detailed transmission-reception architecture, the physical layer performance and the MAC level system reliability are presented in this paper. The solution provides significantly better reliability and higher flexibility than TDMA systems, jointly with a predictable control-cycle latency.

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Section: A Non-orthogonal Multiple Access (Noma)mentioning

confidence: 99%

NOMA-Based 802.11n for Industrial Automation

et al. 2020

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“…NOMA represents a set of different medium access techniques where the receivers use the resource (either space, frequency, and time) in a non-orthogonal way. According to [20], NOMA techniques can be divided into two main families: code-domain NOMA (C-NOMA) [21] [22] and power-domain NOMA (P-NOMA) [23] [24]. In particular, although both NOMA families have been repeatedly proposed as alternatives to be included in 3GPP standards [25], P-NOMA techniques have shown a better complexity/performance tradeoff than C-NOMA [20].…”

Section: A Noma: General Concepts and Industrial Applicability Usingmentioning

confidence: 99%

Analysis of NOMA-Based Retransmission Schemes for Factory Automation Applications

et al. 2021

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New use cases and applications in factory automation scenarios impose demanding requirements for traditional industrial communications. In particular, latency and reliability are considered as some of the most representative Key Performance Indicators (KPI) that limit the technological choices addressing wireless communications. Indeed, there is a considerable research effort ongoing in the area of wireless systems, not only from academia, but also from companies, towards novel solutions that fit Industry 4.0 KPIs. A major limitation for traditional wireless architectures is related to the harsh nature of the industrial propagation channel. Accordingly, this paper addresses these challenges by studying the reliability and latency performance of the joint use of different retransmission schemes in combination with Non-Orthogonal Multiple Access (NOMA) techniques. Two general retransmission schemes have been tested: time-based and spatial diversity-based retransmissions. An adaptive injection level NOMA solution has been combined with the retransmission schemes to improve the reliability of critical information. In all cases, a particular set of simulations has been carried out varying the main parameters, such as modulation, code rate and the injection level. Moreover, the impact of the number of transmitters in relation to the communication reliability has been analyzed. Results show that spatial diversity-based retransmissions overcome considerably the reliability obtained with time-domain retransmissions while maintaining assumable latency rates.

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“…In addition, the combination of NOMA with other emerging technologies (such as massive MIMO and visible light communications) also has been considered to further increase scalability, spectral efficiency, reliability, and greenness of future communication networks [10]. The existing works have mainly studied the performances of downlink and uplink in 5G and beyond 5G networks from different views and scenarios, such as channel knowledge [11], boadcast/unicast convergence [12], and full-duplex heterogeneous networks [13].…”

Section: Related Workmentioning

confidence: 99%

“…Channel Allocation. To this end, we use the power level p ini max and equation ( 5) to obtain the initial rate R ini m = log ð1 + p ini max g m Þ which is substituted into the optimization problem ( 6)- (12) to get an integer programming form (channel allocation) P1 as below:…”

Section: Distributed Solutionmentioning

confidence: 99%

Joint Channel Allocation and Power Control for Uplink NOMA‐Assisted Multi‐UAV Networks

Wen

Deng

Liu³

2021

Wireless Communications and Mobile Computing

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The explosive growth of data leads to that the traditional wireless networks cannot enable various quality of service (QoS) communication for cellular-connected multi-UAV (unmanned aerial vehicle) networks. To overcome this obstacle, we solve the joint optimization problem of channel allocation and power control for uplink NOMA-assisted multi-UAV networks. Firstly, we design a mixed integer nonlinear programming framework, where the channel gains are characterized with integral form in time interval and sorted in nondescending order as the priority index of the decoded signal. In order to propose a feasible algorithm, the initial power levels of UAVs are obtained and integrated into the original problem which is reduced to integer programming problem. Then, the UAVs whose channel gain differences satisfy the constraints will be divided into a group to share the same channel, while the initial power levels of UAVs are adjusted to get a more satisfactory initial solution for power control. Combining the solution of channel allocation and the initial power levels, we solve power control problem with asynchronous update mechanism until the power levels of UAVs remain unchanged. Finally, we propose a channel allocation algorithm and a power control algorithm with the asynchronous optimization mechanism, respectively. Simulation results show that the proposed algorithms can effectively improve the network performance in terms of the aggregated rate.

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Using NOMA for Enabling Broadcast/Unicast Convergence in 5G Networks

Cited by 39 publications

References 21 publications

NOMA-Based 802.11n for Industrial Automation

NOMA-Based 802.11n for Industrial Automation

Analysis of NOMA-Based Retransmission Schemes for Factory Automation Applications

Joint Channel Allocation and Power Control for Uplink NOMA‐Assisted Multi‐UAV Networks

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