Numerology and frame structure for 5G radio access

Vihriälä, Jaakko; Zaidi, Ali A.; Venkatasubramanian, Venkatkumar; He, Ning; Tiirola, Esa; Medbo, Jonas; Lähetkangas, Eeva; Werner, Karl; Pajukoski, Kari; Cedergren, Andreas; Baldemair, Robert

doi:10.1109/pimrc.2016.7794610

Cited by 34 publications

(23 citation statements)

References 3 publications

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“…[64] Modification of physical subframe Different control and data part patterns for consecutive subframes, TX and RX control parts are proposed to be separated from each other, and from the data symbols with a GP, leading to total number of 3 GPs per subframe. [54], [65]- [67] Numerology, flexible sub frame and resource allocation Numerology and subframe structure are defined considering diverse carrier frequencies and bandwidths to envision 5G including low latency. Cyclic prefix, FFT size, subcarrier spacing, and sampling frequency were expressed as the function of carrier frequency.…”

Section: A Frame/packet Structurementioning

confidence: 99%

A Survey on Low Latency Towards 5G: RAN, Core Network and Caching Solutions

Parvez

Rahmati

Güvenç

et al. 2018

IEEE Commun. Surv. Tutorials

748

395

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The fifth generation (5G) wireless network technology is to be standardized by 2020, where main goals are to improve capacity, reliability, and energy efficiency, while reducing latency and massively increasing connection density. An integral part of 5G is the capability to transmit touch perception type real-time communication empowered by applicable robotics and haptics equipment at the network edge. In this regard, we need drastic changes in network architecture including core and radio access network (RAN) for achieving end-to-end latency on the order of 1 ms. In this paper, we present a detailed survey on the emerging technologies to achieve low latency communications considering three different solution domains: RAN, core network, and caching. We also present a general overview of 5G cellular networks composed of software defined network (SDN), network function virtualization (NFV), caching, and mobile edge computing (MEC) capable of meeting latency and other 5G requirements.

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Section: A Frame/packet Structurementioning

confidence: 99%

A Survey on Low Latency Towards 5G: RAN, Core Network and Caching Solutions

Parvez

Rahmati

Güvenç

et al. 2018

IEEE Commun. Surv. Tutorials

748

395

View full text Add to dashboard Cite

show abstract

“…To simplify the analysis, the amount of radio resources in the BBUs could be converted into a set of integer units and measured in resource units. The BBUs resource units' definition depended on the used 5G Frame version . In this study, we followed the LTE‐advanced (LTE‐A) specifications where we defined BBU resource units to have a pool of LTE‐A resource blocks (RBs) .…”

Section: Network Model and Assumptionsmentioning

confidence: 99%

An efficient resource allocation to improve QoS of 5G slicing networks using general processor sharing‐based scheduling algorithm

AlQahtani

2019

Int J Communication

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Fifth generation (5G) slicing is an emerging technology for software-defined networking/network function virtualization-enabled mobile networks.Improving the utilization and throughput to meet the quality of service (QoS) requirements of 5G slicing is very important for the operators of mobile networks. With growing data traffic from different applications of numerous smart mobile devices having several QoS requirements, we expect networks to face problems of congestion and overload that prevent the effective functioning of a radio access network (RAN). This paper proposes a more effective packetbased scheduling scheme for data traffic by 5G slicing with two operation modes for improving the resource utilization of 5G cloud RAN and providing an efficient isolation of the 5G slices. These two operation modes are referred to as static sharing resource (SSR) scheme and dynamic sharing resources (DSR) scheme. The SSR scheme is a modified version of an existing method. The goal of this approach is to reallocate the shared available resources of 5G network fairly and maximize the utilization of bandwidth while protecting a 5G slice from overwhelming other 5G slices. Throughput and delays of the system model are also discussed to show its performance limits. On the basis of the simulation outcomes, we observed that the proposed DSR scheme outperforms the SSR scheme in terms of provided delay and throughput. In addition, the token bucket parameters together with the assigned capacity weight for each slice can be selected and configured based on the required QoS. Finally, a good estimate for the maximum delay bounds of the slices is provided by the derived theoretical delay bound.

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“…A single OFDM system cannot meet the requirements of all desired frequency range and all applications of 5G NR. Therefore, 5G radio access technology fulfils the requirements across the desired frequency range and all envisioned deployment using OFDM numerology (Vihril, J. et al, 2016). Table 1 shows the OFDM numerology to fulfils all requirements of 5G NR, where OFDM numerology zero is considered in this paper.…”

Section: Ofdm Numerologymentioning

confidence: 99%

Indonesia 5G Channel Model Under Foliage Effect

Anwar

Christy

Astuti

2019

bul. pos. dan telekomun.

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Kinerja sistem komunikasi ditentukan oleh kanal, sehingga pengetahuan model kanal suatu negara menjadi penting. Makalah ini mengusulkan (i) model kanal telekomunikasi generasi ke-lima (5G) Indonesia dan (ii) kerangka kerja untuk menghitung model kanal di lokasi lain di Indonesia. Model kanal dalam makalah ini diciptakan untuk bandwidth 40 MHz pada frekuensi 3,3 GHz dengan parameter riil lapangan. Makalah ini juga menampilkan teori outage performance yang diperoleh dari model kanal 5G Indonesia, kemudian memvalidasi teori outage performance tersebut menggunakan block error rate (BLER) pada cyclic-prefix orthogonal frequency division multiplexing (CP-OFDM) numerology zero dengan complex binary phase shift keying (C-BPSK) standard 5G dan Polar coding. Semua hasil numerik diperoleh dari simulasi komputer menggunakan parameter riil lapangan untuk alam Indonesia. Makalah ini menemukan bahwa kanal 5G Indonesia dapat dimodelkan power delay profile (PDP) dengan 17 path untuk kanal tanpa efek dedaunan dan kurang dari 15 path untuk kanal dengan dedaunan. Hasil tersebut menunjukkan bahwa redaman daun menyebabkan penurunan kinerja, yang ditandai dengan penurunan jumlah path dan memburuknya outage performance. Kurva outage performance yang diperoleh dari model kanal 5G Indonesia diharapkan menjadi referensi untuk implementasi sistem 5G di Indonesia dalam pengembangan 5G di Indonesia secara optimal, terutama untuk lokasi yang memiliki dedaunan lebat.

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Numerology and frame structure for 5G radio access

Cited by 34 publications

References 3 publications

A Survey on Low Latency Towards 5G: RAN, Core Network and Caching Solutions

A Survey on Low Latency Towards 5G: RAN, Core Network and Caching Solutions

An efficient resource allocation to improve QoS of 5G slicing networks using general processor sharing‐based scheduling algorithm

Indonesia 5G Channel Model Under Foliage Effect

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