Flexible Multi-Numerology Systems for 5G New Radio

Yazar, Ahmet; Arslan, H�seyin

doi:10.13052/jmm1550-4646.1442

Cited by 43 publications

(43 citation statements)

References 27 publications

(68 reference statements)

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“…To Detection Fig. 1: Block Diagram of the Multi-numerology Implementation [9] be generalized to any number of numerologies by considering one pair at a time. Each numerology block consists of multiple user equipments (UEs) which are non-overlapping in the frequency domain.…”

Section: Receivermentioning

confidence: 99%

Inter-Numerology Interference Analysis for 5G and Beyond

Kihero

Solaija

Yazar

et al. 2018

2018 IEEE Globecom Workshops (GC Wkshps)

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One of the defining characteristics of 5G is the flexibility it offers for supporting different services and communication scenarios. For this purpose, usage of multiple numerologies has been proposed by the 3rd Generation Partnership Project (3GPP). The flexibility provided by multi-numerology system comes at the cost of additional interference, known as inter-numerology interference (INI). This paper comprehensively explains the primary cause of INI, and then identifies and describes the factors affecting the amount of INI experienced by each numerology in the system. These factors include subcarrier spacing, number of used subcarriers, power offset, windowing operations and guard bands.Index Terms-5G New Radio, inter-numerology interference, multi-numerology systems.

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Section: Receivermentioning

confidence: 99%

Inter-Numerology Interference Analysis for 5G and Beyond

Kihero

Solaija

Yazar

et al. 2018

2018 IEEE Globecom Workshops (GC Wkshps)

Self Cite

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“…Thus, by considering any consecutive M rows from y U , the transmitted signals can be detected by using one-tap channel equalization without generating interference. However, according to (14), the elements power ofΥ could be different and the frequency selectivity among subcarriers will be generated. In order to maximize the signal power, it is better to select the edge M rows.…”

Section: Generalized Circular Convolution Propertiesmentioning

confidence: 99%

“…Another key challenge associated with the RAN slicing in the physical layer is the mixed-numerology signals multiplexing and isolation. In principle, slices can be multiplexed in any orthogonal access resources from either time or frequency domain [8], or be multiplexed with shared resources [14], [15]. Compared with the time division multiplexing (TDM), frequency division multiplexing (FDM) has several advantages such as better forward compatibility, ease of supporting services with different latency requirements, energy saving by turning off the BS transceiver chain for some transmit time intervals (TTIs), etc [16], [17].…”

mentioning

confidence: 99%

Mixed-Numerology Signals Transmission and Interference Cancellation for Radio Access Network Slicing

Yang

Zhang

Onireti

et al. 2020

IEEE Trans. Wireless Commun.

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A clear understanding of mixed-numerology signals multiplexing and isolation in the physical layer is of importance to enable spectrum efficient radio access network (RAN) slicing, where the available access resource is divided into slices to cater to services/users with optimal individual design. In this paper, a RAN slicing framework is proposed and systematically analyzed from the physical layer perspective. According to the baseband and radio frequency (RF) configurations imparities among slices, we categorize four scenarios and elaborate on the numerology relationships of slices configurations. By considering the most generic scenario, system models are established for both uplink and downlink transmissions. Besides, a low out of band emission (OoBE) waveform is implemented in the system for the sake of signal isolation and inter-service/slice-band-interference (ISBI) mitigation. We propose two theorems as the basis of algorithms design in the established system, which generalize the original circular convolution property of discrete Fourier transform (DFT). Moreover, ISBI cancellation algorithms are proposed based on a collaboration detection scheme, where joint slices signal models are implemented. The framework proposed in the paper establishes a foundation to underpin extremely diverse use cases in 5G that implement on a common infrastructure.

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“…Moreover, as an additional difference with the LTE, 5G NR allows simultaneous multi-numerology utilization. The 5G NR multi-numerology structures was also studied in [26]- [31], whereas one of the first studies on a framework that provides several different services simultaneously in a unified framework applying the multinumerology paradigm was [25].…”

Section: G New Radio (Nr) Grid Structurementioning

confidence: 99%

A Methodology to Characterize Power Control Systems for Limiting Exposure to Electromagnetic Fields Generated by Massive MIMO Antennas

Adda¹,

Aureli

Coltellacci

et al. 2020

IEEE Access

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The fifth-generation (5G) New Radio (NR) cellular network has been launched recently. The assignment of new spectrum bands and the widespread use of Massive MIMO (MaMIMO) and beamforming techniques for better radio coverage are two major features of the new architecture. They imply both opportunities and challenges, one of the most daring one among the latter ones is the research for methods to assess human exposure to electromagnetic fields radiated by the base stations. The longterm time-varying behavior and spatial multiplexing feature of the MaMIMO antennas, along with the radio resource utilization and adoption of Time-Division Duplexing (TDD), requires that the assessment of exposure to electromagnetic fields radiated by 5G systems is based on a statistical approach that relies on the space and time distribution of the radiated power. That, in turn, is determined through simulations based on the actual maximum transmitted power-defined as the 95 th percentile of the empirical distribution obtained from historical data of radiated power-rather than on the nominal one. To ensure that exposure limits are never exceeded, a monitoring and control system (usually referred to as Power Lock (PL)) that limits the transmitted power can be used. In this paper we propose a methodology, independent from the specific technical solution implemented by the manufacturer, to characterize such control systems and determine their capability to limit the average power transmitted over a given time interval to a value that keeps the corresponding average exposure to electromagnetic fields below a specified value. Experimental results show the effectiveness of the methodology and that it can also be used to identify when the PL interacts with the higher levels of the MaMIMO system architecture. INDEX TERMS radio frequency electromagnetic fields, exposure assessment, Massive MIMO, 5G, New Radio, measurements, mobile telecommunications, channel power.

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Flexible Multi-Numerology Systems for 5G New Radio

Cited by 43 publications

References 27 publications

Inter-Numerology Interference Analysis for 5G and Beyond

Inter-Numerology Interference Analysis for 5G and Beyond

Mixed-Numerology Signals Transmission and Interference Cancellation for Radio Access Network Slicing

A Methodology to Characterize Power Control Systems for Limiting Exposure to Electromagnetic Fields Generated by Massive MIMO Antennas

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