Resource Allocation for Block-Based Multi-Carrier Systems Considering QoS Requirements

González, Arturo; Kuehlmorgen, Sebastian; Festag, Andreas; Fettweis, Gerhard

doi:10.1109/glocom.2017.8254649

Cited by 11 publications

(9 citation statements)

References 11 publications

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“…In [21], a heuristic solution is proposed while considering the optimization of the data block allocation as a Knapsack problem. In the future, optimal numerology assignment methodology can be developed for multiple numerology systems using the Knapsack problem approachment.…”

Section: Numerology Selection Methodologiesmentioning

confidence: 99%

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Flexible Multi-Numerology Systems for 5G New Radio

Yazar

Arslan

2018

JMM

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The physical layer of 5G cellular communications systems is designed to achieve better flexibility in an effort to support diverse services and user requirements. Orthogonal frequency division multiplexing (OFDM) waveform parameters are enriched with flexible multi-numerology structures. This paper gives a short summary for the Third Generation Partnership Project (3GPP) New Radio (NR) standard and then describes the differences of building blocks for Long Term Evolution (LTE) systems and NR from the flexibility perspective. Research opportunities for multi-numerology systems are presented in a structured manner. Finally, inter-numerology interference (INI) and signal-to-interference ratio (SIR) results as a function of multinumerology parameters, guard allocation and user power levels are obtained through computer simulations.

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Section: Numerology Selection Methodologiesmentioning

confidence: 99%

“…Moreover, INI reduction techniques are proposed in [6,9,[13][14][15][16][17][18][19]. Algorithm examples for the advanced scheduling methods of multiple numerologies explained in [2,[20][21][22][23]. A summary for the subjects of these studies are presented in Figure 1 and details for the literature are provided in Section 4.…”

Section: Introductionmentioning

confidence: 99%

Flexible Multi-Numerology Systems for 5G New Radio

Yazar

Arslan

2018

JMM

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“…Machine-type communications, on the other hand, require smaller subcarrier spacing to support very large number of devices within limited bandwidth [3]. With configuring multiple numerologies in time-frequency domains, mixed-numerology system enables the adaptive selection of numerology [4] and the flexible scheduling [5], based on the channel conditions and the quality of service (QoS) demands. However, as the OFDM technique is reserved as the basic waveform [1], the PAPR problem still exists and becomes more complex and challenging [3], [6], [7].…”

Section: Introductionmentioning

confidence: 99%

Peak-to-Average Power Ratio Analysis for OFDM-Based Mixed-Numerology Transmissions

Liu

Zhang

Xiong

et al. 2020

IEEE Trans. Veh. Technol.

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In this paper, the probability distribution of the peak to average power ratio (PAPR) is analyzed for the mixed numerologies transmission based on orthogonal frequency division multiplexing (OFDM). State of the art theoretical analysis implicitly assumes continuous and symmetric frequency spectrum of OFDM signals. Thus, it is difficult to be applied to the mixed-numerology system due to its complication. By comprehensively considering system parameters, including numerology, bandwidth and power level of each subband, we propose a generic analytical distribution function of PAPR for continuous-time signals based on level-crossing theory. The proposed approach can be applied to both conventional single numerology and mixed-numerology systems. In addition, it also ensures the validity for the noncontinuous-OFDM (NC-OFDM). Given the derived distribution expression, we further investigate the effect of power allocation between different numerologies on PAPR. Simulations are presented and show the good match of the proposed theoretical results.

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“…According to [22], frequency multiplexing of uRLLC and eMBB services within one carrier is feasible by employing subbandfiltered Cyclic Prefix (CP)-Orthogonal Frequency Division Multiplexing (OFDM). By setting different objectives, the authors in [23]- [25] investigate efficient resource scheduling algorithms for supporting heterogeneous services based on a flexible frame structure. The work presented in [23] considers the scheduling problem for heterogeneous services within a mixed numerology approach.…”

Section: Introductionmentioning

confidence: 99%

Multiplexing Services in 5G and Beyond: Optimal Resource Allocation Based on Mixed Numerology and Mini-Slots

Marijanović¹,

Schwarz

Rupp³

2020

IEEE Access

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The Fifth Generation (5G) New Radio (NR) Physical Layer (PHY) is designed to successfully address diverse user and service requirements by providing a highly flexible framework. This flexibility is viable through a scalable numerology. Since 5G NR targets to multiplex various applications with different quality of service requirements within the same band, 3rd Generation Partnership Project has introduced a mixed (multi) numerology approach and a mini-slot approach to enhance the adaptability of the PHY. In this contribution, we compare these two approaches focusing on the achievement of lowlatency communications. We propose optimization problems that enable to maximize the achievable rate of best effort users, while maintaining latency requirements of low-latency users. Exploiting achievable rate performance as one of the fundamental metrics, we show a comparison of mixed numerology and mini-slot approach in different circumstances. In addition to Cyclic Prefix (CP)-Orthogonal Frequency Division Multiplexing (OFDM), we employ Universal Filtered Multicarrier (UFMC) as a potential beyond 5G technology and show that it achieves an improvement over CP-OFDM. The optimization problems for both mixed numerology and the mini-slot approach are initially given by an integer programming solution. In order to reduce computational complexity for large-scale scenarios, we apply the Dantzig-Wolfe decomposition method, showing that it is possible to achieve the optimal solution with significantly reduced complexity by exploiting the structure of the proposed optimization formulation.

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Resource Allocation for Block-Based Multi-Carrier Systems Considering QoS Requirements

Cited by 11 publications

References 11 publications

Flexible Multi-Numerology Systems for 5G New Radio

Flexible Multi-Numerology Systems for 5G New Radio

Peak-to-Average Power Ratio Analysis for OFDM-Based Mixed-Numerology Transmissions

Multiplexing Services in 5G and Beyond: Optimal Resource Allocation Based on Mixed Numerology and Mini-Slots

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