Waveform and Numerology to Support 5G Services and Requirements

Zaidi, Ali A.; Baldemair, Robert; Tullberg, Hugo; Bjorkegren, Hakan; Sundstrom, L.; Medbo, Jonas; Kilinc, Caner; Silva, Icaro Da

doi:10.1109/mcom.2016.1600336cm

Cited by 274 publications

(172 citation statements)

References 7 publications

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“…different TTI sizes, synchronous/asynchronous access). The mixing of L1 slices in the same resource grid with different waveforms characteristics could be achieved through the use of the different OFDM numerologies and transmitter windowing techniques that mitigate the potential interslice interference [14]. Moreover, this segmentation of resources per slice avoids the transmission of common reference and control signals over the entire RF bandwidth but instead use self-contained transmissions per slice that can be arranged as needed (e.g.…”

Section: Fig 3-illustration Of Slicing Support In L1mentioning

confidence: 99%

On 5G Radio Access Network Slicing: Radio Interface Protocol Features and Configuration

et al. 2018

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Abstract-Network slicing is a fundamental capability for future Fifth Generation (5G) networks to facilitate a cost-effective deployment and operation of multiple logical networks over a common physical network infrastructure in a way that each logical network (i.e. network slice) can be customized and dimensioned to best serve the needs of specific applications (e.g. mobile broadband, smart city, connected car, public safety, fixed wireless access) and users (e.g. general public, enterprise customers, virtual operators, content providers). The practical realization of such capability still raises numerous technical challenges, both

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Section: Fig 3-illustration Of Slicing Support In L1mentioning

confidence: 99%

On 5G Radio Access Network Slicing: Radio Interface Protocol Features and Configuration

et al. 2018

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“…Mini-slot durations will depend on the subcarrier spacing (SCS) and on the number of OFDM symbols for a given SCS, adopted according to the type of deployment and carrier frequency [13]. It is important to note that the assumed processing times and RTT can be optimistic for the practical NR implementation.…”

Section: B Case Studymentioning

confidence: 99%

A Blind Retransmission Scheme for Ultra-Reliable and Low Latency Communications

Abreu

Berardinelli

Jacobsen

et al. 2018

2018 IEEE 87th Vehicular Technology Conference (VTC Spring)

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Abstract-This work is related to 5G new radio concept design, with focus on ultra-reliable and low latency communication (URLLC) use cases. We mainly target to achieve the stringent latency and reliability requirements for transmissions over the air interface, such as 99.999% success probability within 1 ms. Meeting these requirements in an efficient way, that is, without draining the network capacity is one of the main challenges for the new radio standardization. In this work, we propose a scheme to perform blind retransmissions on shared radio resources together with the application of successive interference cancellation to receive remaining non-decoded data with low delay penalty. The method avoids control errors and extra delays existent on feedback-based retransmission schemes. The investigations also show that blind retransmission on shared resources is more resource efficient than a conservative single shot transmission, depending on the number of users sharing the resources.

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“…Finally, by substituting (20), (21), and (23) into (19), we get the closed form expression of NC SDF outage probability.…”

Section: Nc Modementioning

confidence: 99%

A comparative study of full‐duplex relaying schemes for low latency applications

Airod

Chafnaji

Tamtaoui

2018

Int J Communication

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Various sectors are likely to carry a set of emerging applications while targeting a reliable communication with low latency transmission. To address this issue, upon a spectrally-efficient transmission, this paper investigates the performance of a 1 full-dulpex relay system and considers for that purpose, 2 basic relaying schemes, namely, the symbol-by-symbol transmission, i.e., amplifyand-forward and the block-by-block transmission, i.e., selective decode-andforward. The conducted analysis presents an exhaustive comparison, covering both schemes, over 2 different transmission modes, i.e., the noncombining mode where the best link, direct, or relay link is decoded and the signals combining mode, where direct and relay links are combined at the receiver side. While targeting latency purpose as a necessity, simulations show a refined results of performed comparisons and reveal that amplify-and-forward relaying scheme is more adapted to combining mode, whereas the selective decode-and-forward relaying scheme is more suitable for noncombining mode.KEYWORDS amplify-and-forward, full-duplex, low latency applications, outage probability, selective decode-andforward 1 | INTRODUCTION An immense amount of data is created every day from different sensors and peripherals, namely, GPS embedded in vehicles, attached to objects or worn by people, sensors monitoring the environment, real time video streams, radars on roads, social network feeds, etc. Such type of data belongs to real time's domain, where schedulability is one of the main characteristics of this domain, which means its propensity to respect the expected time constraints. In fact, a real time system implies a system ability to ensure that investigated processing produces consistent results, i.e., functionally correct, at the right time. Therefore, to ensure the radio communication for such applications, a low latency as well as extreme reliability are required. In this context, the use of cooperation concept provides spatial and temporal diversity and constitutes a good alternative to support advanced communications with increased channel capacity. 1,2 However, in regards to the end-to-end latency, this requirement has a significant impact on the system quality and the fluidity of communications, and it is influenced by different features upon the transmission, we mention in particular, the propagation delay as well as the relay delay processing. In fact, depending on the environment and on the application, we can get rid of some supplementary sources of delay, as example, for industrial environments such factories, the distance between 2 automated robots is not considerable. Hence, the delay propagation can be neglected, and the only generated delay in this case is that related to the relay processing, which depends mainly on the used relaying technique.

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Waveform and Numerology to Support 5G Services and Requirements

Cited by 274 publications

References 7 publications

On 5G Radio Access Network Slicing: Radio Interface Protocol Features and Configuration

On 5G Radio Access Network Slicing: Radio Interface Protocol Features and Configuration

A Blind Retransmission Scheme for Ultra-Reliable and Low Latency Communications

A comparative study of full‐duplex relaying schemes for low latency applications

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