Internet Rzeczy (IoT) i Przemysłowy Internetu Rzeczy (IIoT) dynamicznie ewoluują, a rozwój nowych generacji sieci mobilnych odgrywa kluczową rolę w ich transformacji. Obecne rozwiązania oparte na 4G i 5G napotykają istotne ograniczenia związane z przepustowością, niezawodnością oraz skalowalnością komunikacji maszynowej. W tym kontekście technologia 6G jawi się jako przełomowy „enabler” IoT 2.0, oferując wsparcie dla krytycznych wymagań Ultra-Reliable Low Latency Communication (URLLC) oraz massive Machine-Type Communication (mMTC). W artykule przedstawiono przewidywane cechy sieci 6G oraz rolę technologii wspierających, takich jak Reconfigurable Intelligent Surfaces (RIS), Non-Orthogonal Multiple Access (NOMA), edge AI czy blockchain. Omówiono architektury wspierające IoT w erze 6G, w tym edge computing, inteligentną automatyzację zasobów i sieci samoorganizujące się. Szczególną uwagę poświęcono także wyzwaniom wdrożeniowym – od braku standaryzacji i problemów integracyjnych, po kwestie bezpieczeństwa i wymagania sprzętowe. Analiza wskazuje, że 6G ma potencjał do zrewolucjonizowania komunikacji maszynowej, umożliwiając realizację nowych scenariuszy aplikacyjnych i otwierając kierunki przyszłych badań w zakresie symulacji, modeli predykcyjnych.
EN
The rapid expansion of the Internet of Things (IoT) and the Industrial Internet of Things (IIoT) has exposed fundamental limitations of existing 4G and 5G communication infrastructures. Despite improvements in throughput and network virtualization, current systems are unable to guarantee deterministic latency, ultra-high reliability, and massive scalability required by next-generation machine communication, particularly in industrial environments. These constraints limit the implementation of real-time control systems, autonomous production processes, and large-scale sensor networks. Sixth-generation (6G) wireless networks are emerging as a potential solution to these structural limitations. By integrating sub-THz communication, Reconfigurable Intelligent Surfaces (RIS), Non-Orthogonal Multiple Access (NOMA), AI-native network management, edge computing, and blockchain-based security mechanisms, 6G aims to enable deterministic, intelligent, and highly adaptive machinetype communication. This study examines how 6G can overcome the technological barriers of previous generations and support both Ultra-Reliable Low-Latency Communication (URLLC) and massive Machine-Type Communication (mMTC) within unified IoT and IIoT ecosystems. It further identifies key architectural transformations and implementation challenges that must be addressed to realize scalable, secure, and energy-efficient industrial communication infrastructures. The findings suggest that 6G represents not merely an incremental upgrade of mobile networks, but a paradigm shift toward AI-driven, distributed, and self-optimizing communication systems capable of supporting IoT 2.0 and future cyber-physical environments.
W artykule dokonano przeglądu metod wielodostępu nieortogonalnego, w szczególności wielodostępu NOMA realizowanego w dziedzinie mocy. Po ogólnym podsumowaniu metod wielodostępu ortogonalnego OMA stosowanych w kolejnych generacjach komunikacji bezprzewodowej, wymieniono podstawowe metody wielodostępu NOMA w dziedzinie kodowej a następnie wyjaśniono zasadę działania systemu NOMA w dziedzinie mocy. Dokonano podstawowej analizy i porównania granicznej przepływności z wielodostępem OMA. Z kolei przedstawiono zaproponowane uprzednio przez autorów ulepszenie procesu kompensacji interferencji w łączu w górę systemu z wielodostępem NOMA w dziedzinie mocy. Następnie przeanalizowano podstawowe własności i zasady działania wielodostępu NOMA w przypadku transmisji wieloantenowej MISO i na podstawie literatury pokazano rozwiązania konkurencyjne, takie jak system wielu użytkowników z liniowym prekodowaniem (MU-LP) oraz system RSMA z rozdzielaniem transmitowanych wiadomości i częściową kompensacją interferencji. W podsumowaniu stwierdzono możliwość zastosowania wielodostępu NOMA w masowej transmisji między maszynami (IoT).
EN
The paper reviews non-orthogonal multiple access methods, in particular NOMA multiple access implemented in the power domain. After a general summary of orthogonal multiple access methods (OMA) used in subsequent generations of wireless communication, the basic NOMA multiple access methods in the code domain are listed, and then the operating principle of the NOMA system in the power domain is explained. Basic analysis and comparison of achievable rates with OMA multiple access are made. In turn, an improvement of the uplink interference compensation process of the system with NOMA in the power domain, previously proposed by the authors, is presented. Then, the basic properties and operating principles of the NOMA multiple access in the case of multi-antenna MISO transmission are analyzed and, based on the literature, competitive solutions are shown, such as the multi-user system with linear precoding (MU-LP) and the RSMA system with rate splitting and partial interference compensation. The paper ends with the conclusion about the possibility of using NOMA multiple access in massive machine-to-machine (IoT) communication.
This paper investigates the physical layer security of downlink nonorthogonal multiple access (NOMA) systems operating over a degenerate keyhole channel in the presence of a multi-antenna eavesdropper.We propose a joint antenna selection framework with transmit antenna selection at the source and receive antenna selection at both legitimate users and eavesdroppers, thus striving to reduce hardware complexity while maximizing secrecy performance. In this framework, the efficacy of confidentiality is assessed for a specific user allocation methodology by deriving the closed-form approximate expression of secrecy outage probability (SOP). Extensive Monte Carlo simulations validate analytical results and reveal that increasing the number of antennas at the source and legitimate users dramatically lowers SOP, whereas a more capable eavesdropper raises the risk of secrecy. Our findings demonstrate that strategic antenna deployment and non-orthogonal access can effectively safeguard communications even through severely scattering environments.
This study examines the uplink and downlink com-munication in a structured coded nonorthogonal multiple access (NOMA) in the context of cognitive radio networks (CRNs). Due to the ever-increasing demand for spectrum-efficient communi-cation systems, NOMA has emerged as an effective approach to enhance spectral efficiency by allowing multiple users to share the same frequency resources. Furthermore, CRN also improves spectrum utilization by enabling dynamic spectrum access while primary users are present. This work presents a method that can maximize the spectral efficiency by combining NOMA and CRN mechanisms. The suggested system is evaluated in terms of throughput, spectral efficiency, and bit error rate (BER). The collected results show that the proposed strategy performs better in reducing data mistakes when two users access the spectrum at different signal-to-noise ratios (SNR), with a 7 dB improvement for 1st user and a 2.5 dB improvement for the 2nd user, respectively, in the downlink scenario. Next, the exact BER expressions for both coded and uncoded uplink NOMA systems are introduced. As a result, the proposed system demonstrates superior performance and needs only 11 dB to reach 1 × 10−6 of BER while the uncoded system cannot operate in this harsh environment and the BER is fixed at 0.25 dB.
The integration of optical fibre communication with multiple input multiple output-non-orthogonal multiple access (MIMO-NOMA) waveforms in cognitive radio (CR) systems is examined in this study. The proposed system leverages the advantages of optical fibre, including high bandwidth and immunity to electromagnetic interference to facilitate the transmission and reception of MIMO-NOMA signals in a CR environment. Moreover, MIMO-NOMA signal was detected and analysed by the hybrid-discrete cosine transform-Welch (H-DCT-W) method. Based on the modes results, a detection probability greater than 0.96%, a false alarm probability equal to 0.06, and a global system error probability equal to 0.09% were obtained with a signal-to-noise ratio (SNR) less than 0 dB, while maintaining a simple level of complexity. The results obtained in this paper indicate the potential of the optical fibre-based MIMO-NOMA system based on H-DCT-W technology in CR networks. Therefore, its suitability for practical CR applications is demonstrated by the improvements obtained in false alarms, detection probability, and error rates at low levels of SNR. This study contributes to the development of efficient and reliable wireless communication systems by linking cooperation and synergy concerning MIMO-NOMA, optical fibres, as well as the proposed detection technique (H-DCT-W).
The current generation of mobile networks requires speeding up the steps to meet the future demand for high data rates, and low latency. In 5G, the Third Generation Partnership Project (3GPP) is working to support numerous users and high spectral efficiency via different technologies, such as the Non-Orthogonal Multiple Access (NOMA) scheme. This paper provides a study of NOMA and how NOMA addresses the 5G requirements, ongoing standardization efforts for NOMA, and a comparative study of NOMA with other OMA schemes like orthogonal frequency division multiple access (OFDMA). The results show improved user productivity in NOMA compared to OFDMA. We also proposed a new technique called the multi-tier hybrid NOMAOMA to get the robustness of OMA and the flexibility of NOMA to increase the spectrum efficiency and the number of users. The multi-tier facilitates the user such that to reduce the interference. We also study the impact of several tiers on the capacity, the result shows that five tiers provide the best capacity in multi-tier hybrid NOMAOMA.
PL
Obecna generacja sieci komórkowych wymaga przyspieszenia kroków w celu zaspokojenia przyszłego zapotrzebowania na dużą szybkość transmisji danych i niskie opóźnienia. W ramach 5G, Projekt Partnerstwa Trzeciej Generacji (3GPP) pracuje nad wsparciem wielu użytkowników i wysokiej wydajności widmowej za pomocą różnych technologii, takich jak schemat nieortogonalnego dostępu wielokrotnego (NOMA). Ten artykuł zawiera analizę NOMA i sposobu, w jaki NOMA spełnia wymagania 5G, trwające wysiłki normalizacyjne dla NOMA oraz badanie porównawcze NOMA z innymi schematami OMA, takimi jak wielokrotny dostęp z ortogonalnym podziałem częstotliwości (OFDMA). Wyniki pokazują lepszą produktywność użytkownika w NOMA w porównaniu z OFDMA. Zaproponowaliśmy również nową technikę zwaną wielowarstwową hybrydową NOMAOMA, aby uzyskać solidność OMA i elastyczność NOMA w celu zwiększenia wydajności widma i liczby użytkowników. Wielopoziomowy ułatwia użytkownikowi tak, aby zmniejszyć zakłócenia. Badamy również wpływ kilku warstw na pojemność, wynik pokazuje, że pięć warstw zapewnia najlepszą pojemność w wielowarstwowej hybrydowej NOMAOMA.
In this paper, two radio links with different frequency bands are considered for base stations (BS) serving users via decode-and-forward (DF) cooperative relays. Backhaul and access links are proposed with sub-6 GHz and millimeter wave (mmWave) bands, respectively. Non-orthogonal multiple access (NOMA) is employed in the backhaul link to simultaneously transmit a superposed signal in the power domain, using the same band. The superposed signals, containing two signals that differ in terms of power allocation factors (PAFs), are designed for two selected DF relays in the BS. The two relays are chosen from several relays to be serviced by the BS based on a pairing algorithm that depends on different users’ circumstances. The furthest DF relay detects the incoming NOMA signal directly, while the nearest one applies successive interference cancellation (SIC) before extracting its signal. Each DF relay forwards the detected signals toward their intended users over mmWave channels. Three performance metrics are utilized to evaluate the system’s performance: outage probability, achievable throughput, and bit error rate. Comparisons between two mmWave bands in the access link (28 and 73 GHz) are made to demonstrate the superiority of the 28 GHz band in terms of the three performance-related metrics.
Non-orthogonal multiple access (NOMA) has received tremendous attention for the development of 5G and beyond wireless networks. Power-domain NOMA works on the concept of assigning varying power levels to users within the same frequency and time block. In this paper we propose a novel power allocation approach that uses the Zipf distribution law that satisfies the basic condition of a NOMA system. The Zipf PA is characterized by the simplicity and ease of implementation that allows to extend the capacity of the system to support a large number of users. The numerical results show that the system achieves high throughput and energy efficiency without any parameter optimization constraints as well as improved capacity by increasing the number of users compared to the NOMA system with existing power allocation techniques.
In this paper, the performance of a deep learningbased multiple-input multiple-output (MIMO) non-orthogonal multiple access (NOMA) system is investigated for 5G radio communication networks. We consider independent and identically distributed (i.i.d.) Nakagami-m fading links to prove that when using MIMO with the NOMA system, the outage probability (OP) and end-to-end symbol error rate (SER) improve, even in the presence of imperfect channel state information (CSI) and successive interference cancellation (SIC) errors. Furthermore, the stacked long short-term memory (S-LSTM) algorithm is employed to improve the system’s performance, even under time-selective channel conditions and in the presence of terminal’s mobility. For vehicular NOMA networks, OP, SER, and ergodic sum rate have been formulated. Simulations show that an S-LSTM-based DL-NOMA receiver outperforms least square (LS) and minimum mean square error (MMSE) receivers. Furthermore, it has been discovered that the performance of the end-to-end system degrades with the growing amount of node mobility, or if CSI knowledge remains poor. Simulated curves are in close agreement with the analytical results.
This work examines the efficacy of deep learning (DL) based non-orthogonal multiple access (NOMA) receivers in vehicular communications (VC). Analytical formulations for the outage probability (OP), symbol error rate (SER), and ergodic sum rate for the researched vehicle networks are established Rusing i.i.d. Nakagami-m fading links. Standard receivers, such as least square (LS) and minimum mean square error (MMSE), are outperformed by the stacked long-short term memory (S-LSTM) based DL-NOMA receiver. Under real time propagation circumstances, including the cyclic prefix (CP) and clipping distortion, the simulation curves compare the performance of MMSE and LS receivers with that of the DL-NOMA receiver. According to numerical statistics, NOMA outperforms conventional orthogonal multiple access (OMA) by roughly 20% and has a high sum rate when considering i.i.d. fading links.
Generalized Singular Value Decomposition (GSVD) is the enabling linear precoding scheme for multiple-input multiple-output (MIMO) non-orthogonal multiple access (NOMA) systems. In this paper, we extend research concerning downlink MIMO-NOMA systems with GSVD to cover bit terror rate (BER) performance and to derive an approximate evaluation of the average BER performance. Specifically, we deploy, AT the base station, the well-known technique of joint-modulation to generate NOMAsymbols and joint maximum-likelihood (ML) to recover the transmitted data at end user locations. Consequently, the joint ML detector offers almost the same performance, In terms of average BER as ideal successive interference cancellation. Next, we also investigate BER performance of other precoding schemes, such as zero-forcing, block diagonalization, and simultaneous triangularization, comparing them with GSVD. Furthermore, BER performance is verified in different configurations in relation to the number of antennas. In cases where the number of transmit antennas is greater than twice the number of receive antennas, average BER performance is superior.
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.
This paper studies downlink cellular networks relying on non-orthogonal multiple access (NOMA). Specifically, the access point (AP) is able to harvest wireless power from the power beacon (PB). In the context of an AP facilitated with multiple antennas, the transmit antenna selection procedure is performed to process the downlink signal, with the transmission guaranteed by energy harvesting. Therefore, a wireless power transfer-based network is introduced to overcome power outages at the AP. In particular, an energy-constrained AP harvests energy from the radio frequency signals transmitted by the PB in order to assist in transmitting user data. Outage performance and ergodic capacity are evaluated with the use of closed-form expressions. In order to highlight some insights, approximate computations are provided. Finally, numerical simulations are performed to confirm the benefits of combining the downlink NOMA transmission and the transmit power scheme at the AP in order to serve a multitude of users.
This paper has provided an overview of selected IoT architectures, relevant requirements towards 5G (and beyond) systems as well as indication of NOMA techniques suitability as a multiple access technique and recent developments in the area of radio interface for IoT coexisting with 5G (and beyond) mobile networks. The authors assume that IoT networks in the future will be augmented with NOMA-capable sink-nodes (proxy or gateway) that can deliver aggregated data from multiple sensors for delivery to the cloud or other server. The main aim of this paper is to go beyond state of the art available nowadays and indicate directions for NOMA that make it even more attractive in combination with edge computing, cloud-RAN and especially AI/ML to improve future 6G networks.
W artykule przedstawiono architekturę komórkowych sieci radiokomunikacyjnych piątej generacji (5G) oraz dokonano przeglądu nowych rozwiązań, które znajdą zastosowanie w tych sieciach. Omówiono strategię wdrożenia sieci 5G w Polsce, a także sformułowano uwagi na temat koncepcji ogólnokrajowej cyfrowej sieci radiokomunikacyjnej na potrzeby sektora elektroenergetycznego i potencjalnych możliwości wykorzystania do tego celu infrastruktury przyszłej sieci 5G.
EN
The article presents the architecture of fifth generation (5G) cellular networks and then a survey of new technologies which will be applied in their design. The strategy for implementing 5G networks in Poland is discussed, and comments on the concept of a nationwide digital wireless communication network for the needs of Polish power sector and potential possibilities of using the infrastructure of the future 5G network for this purpose is given.
A novel non-orthogonal multiple access (NOMA) scheme is proposed to improve the throughput and the outage probability of the cognitive radio (CR) inspired system which has been implemented to adapt multiple services in the next-generation network (5G). In the proposed scheme, the primary source (PS) had sent a superposition code symbol with a predefined power allocation to relays, it decoded and forwarded (DF) a new superposition coded symbol to the destination with the other power allocation. By using a dual antenna at relays, it will be improved the bandwidth efficiency in such CR NOMA scheme. The performance of the system is evaluated based on the outage probability and the throughput with the assumption of the Rayleigh fading channels. According to the results obtained, it is shown that the outage probability and throughput of the proposed full-duplex (FD) in CR-NOMA with reasonable parameters can be able deploy in practical design as illustration in numerical results section.
Non-Orthogonal Multiple Access (NOMA) with Successive Interference Cancellation (SIC) is one of the promising techniques proposed for 5G systems. It allows multiple users with different channel coefficients to share the same (time/frequency) resources by allocating several levels of (power/code) to them. In this article, a design of a cooperative scheme for the uplink NOMA Wi-Fi transmission (according to IEEE 802.11 standards) is investigated. Various channel models are exploited to examine the system throughput. Convolutional coding in conformance to IEEE 802.11a/g is applied to evaluate the system performance. The simulation results have been addressed to give a clear picture of the performance of the investigated system.
W artykule zaprezentowano nieortogonalną, metodę dostępu wielokrotnego do kanału, nazywaną w skrócie metodą NOMA, która jest prawdopodobna do zastosowania w systemach 5G. Porównano ją z dotychczas powszechnie stosowanymi metodami ortogonalnymi OMA. Analizę przeprowadzono dla łącza w dół i łącza w górę.
EN
In the article a non-orthogonal multiple access method called NOMA is presented. This method is planned for use in 5G systems. The NOMA is compared with groups orthogonal methods named OMA which are currently used. This analysis was performed both for downlink and uplink.
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