Towards Massive Connectivity Support for Scalable mMTC Communications in 5G Networks

Bockelmann, Carsten; Pratas, Nuno K.; Wunder, Gerhard; Saur, Stephan; Navarro, Mònica; Gregoratti, David; Vivier, Guillaume; Carvalho, Elisabeth de; Ji, Yalei; Stefanović, Čedomir; Popovski, Petar; Wang, Qi; Schellmann, Malte; Kosmatos, Evangelos; Demestichas, Panagiotis; Raceala-Motoc, Miruna; Jung, Peter; Stańczak, Sławomir; Dekorsy, Armin

doi:10.1109/access.2018.2837382

Cited by 227 publications

(157 citation statements)

References 38 publications

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“…The communication in such typical applications is usually only occasionally required, e.g., in remote environmental sensing and utility metering applications, etc. The key technology enablers for mMTC in 5G networks providing minimal operational cost, grant-free, and time alignment-free connectivity to a massive number of devices can be listed as non-orthogonal multiple access (NOMA), end-to-end (E2E) network slicing (NS), collaborative edge and cloud computing framework, and network function virtualization (NFV) [28,29].…”

Section: A 5g Target Servicesmentioning

confidence: 99%

The Potential Short- and Long-Term Disruptions and Transformative Impacts of 5G and Beyond Wireless Networks: Lessons Learnt From the Development of a 5G Testbed Environment

et al. 2020

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The capacity and coverage requirements for 5G and beyond wireless connectivity will be significantly different from the predecessor networks. To meet these requirements, the anticipated deployment cost in the UK is predicted to be in between £30bn-£50bn, whereas the current annual capital expenditure (CapEX) of the mobile network operators (MNOs) is £2.5bn. This prospect has vastly impacted and has become one of the major delaying factors for building the 5G physical infrastructure, whereas other areas of 5G developments are progressing at their speeds. Due to the expensive and complicated nature of the physical network infrastructure and spectrum, the second-tier operators, widely known as mobile virtual network operators (MVNO), are entirely dependent on the MNOs. In this paper, an extensive study is conducted to explore the possibilities of reducing the 5G deployment cost and developing business models. This study suggests that the use of existing public infrastructure (e.g., streetlights, telephone poles, etc.) has a great potential to contribute to a reduction of about 40% to 60% anticipated cost for the 5G network. This paper also reviews the recent Ofcom initiatives to release location-based licenses of the 5G-compatible radio spectrum at a nominal cost. Our study suggests that simplification of infrastructure and spectrum will encourage the exponential growth of scenario-specific cellular networks and will potentially disrupt the current business models of telecommunication business stakeholders -specifically MNOs and TowerCos. These scenario-specific networks are expected to be: a) private networks, b) community networks, and c) microoperators. Furthermore, due to the feasibility of dense device connectivity with 5G, the resolution of traditional and nontraditional data availability will increase significantly. This will encourage extensive data harvesting as a business opportunity and function within small and medium-sized enterprises (SMEs) as well as within large social networks. Consequently, the rise of new infrastructures and spectrum stakeholders is anticipated. This will fuel the development of a 5G data exchange ecosystem where data transactions are deemed to be high-value business commodities. The privacy and security of such data, as well as definitions of the associated revenue models and ownership, are challenging areas -and these have yet to emerge and mature fully. In this direction, this paper proposes the development of a unified data hub with layered structured privacy and security along with blockchain and encrypted off-chain based ownership/royalty

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Section: A 5g Target Servicesmentioning

confidence: 99%

The Potential Short- and Long-Term Disruptions and Transformative Impacts of 5G and Beyond Wireless Networks: Lessons Learnt From the Development of a 5G Testbed Environment

et al. 2020

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“…In 5G new radio (NR), there are a limited number of physical-layer cell identities [4]. Since there is no specific collision avoidance procedure, a massive number of access attempts can cause severe congestions that accompany the increase in transmission latency [3]. Even assuming congestion-free scenarios, the sumrate growth in a large-user regime K M has slowed because the sum-rate grows in a double-logarithmical fashion [23], [24].…”

Section: B Qbc-based Limited Feedback For Multiuser Mimomentioning

confidence: 99%

“…IoT enables a wide range of unprecedented services such as autonomous driving, smart home/factory, and factory automation, just to name a few [2]. Massive connectivity is one of the most important requirements of a fully connected IoT society [3], [4]. In accordance with this trend, the international telecommunication union (ITU) defined massive machinetype communication (mMTC) as one representative service category.…”

Section: Introductionmentioning

confidence: 99%

“…Based on the analytical studies, we develop cooperation mode switching criteria to activate/deactivate the cooperation mode according to channel and network conditions. 3 One possible option can be the social relationship between users [16]. If users have a close relationship in the social domain, users can readily help each other by using their own resources for cooperative feedback.…”

Section: Introductionmentioning

confidence: 99%

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Limited Feedback Designs for Machine-Type Communications Exploiting User Cooperation

et al. 2019

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Multiuser multiple-input multiple-output (MIMO) systems are a prime candidate for use in massive connection density in machine-type communication (MTC) networks. One of the key challenges of MTC networks is to obtain accurate channel state information (CSI) at the access point (AP) so that the spectral efficiency can be improved by enabling enhanced MIMO techniques. However, current communication mechanisms relying upon frequency division duplexing (FDD) might not fully support an enormous number of devices due to the rate-constrained limited feedback and the time-consuming scheduling architectures. In this paper, we propose a user cooperation-based limited feedback strategy to support high connection density in massive MTC networks. In the proposed algorithm, two close-in users share the quantized version of channel information in order to improve channel feedback accuracy. The cooperation process is performed without any transmitter interventions (i.e., in a grantfree manner) to satisfy the low-latency requirement that is vital for MTC services. Moreover, based on the sum-rate throughput analysis, we develop an adaptive cooperation algorithm with a view to activating/deactivating the user cooperation mode according to channel and network conditions.

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“…A comprehensive overview of competitive approaches within 5G (Rel. 16 upwards) can be found in [12], [13], [14].…”

Section: Introductionmentioning

confidence: 95%

HiHTP: A custom-tailored hierarchical sparse detector for massive MTC

Wunder

Roth

Fritschek

et al. 2017

2017 51st Asilomar Conference on Signals, Systems, and Computers

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Recently, a new class of so-called hierarchical thresholding algorithms was introduced to optimally exploit the sparsity structure in joint user activity and channel detection problems. In this paper, we take a closer look at the user detection performance of such algorithms under noise and relate its performance to the classical block correlation detector with orthogonal signatures. More specifically, we derive a lower bound for the diversity order which, under suitable choice of the signatures, equals that of the block correlation detector. Surprisingly, in specific parameter settings non-orthogonal pilots, i.e. pilots where (cyclically) shifted versions interfere with each other, outperform the block correlation detector. Altogether, we show that, in wide parameter regimes, the hierarchical thresholding detectors behave like the classical correlator with improved detection performance but operate with much less required pilot subcarriers. We provide mathematically rigorous and easy to handle formulas for numerical evaluations and system design. Finally, we evaluate our findings with numerical examples and show that, in a practical parameter setting, a classical pilot channel can accommodate up to three advanced pilot channels with the same performance.

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Towards Massive Connectivity Support for Scalable mMTC Communications in 5G Networks

Cited by 227 publications

References 38 publications

The Potential Short- and Long-Term Disruptions and Transformative Impacts of 5G and Beyond Wireless Networks: Lessons Learnt From the Development of a 5G Testbed Environment

The Potential Short- and Long-Term Disruptions and Transformative Impacts of 5G and Beyond Wireless Networks: Lessons Learnt From the Development of a 5G Testbed Environment

Limited Feedback Designs for Machine-Type Communications Exploiting User Cooperation

HiHTP: A custom-tailored hierarchical sparse detector for massive MTC

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