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Delay-reliability Tradeoff for Coexisting IoT Technologies in Grant-free Radio Access
KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Communication Systems, CoS, Radio Systems Laboratory (RS Lab).ORCID iD: 0000-0003-4006-5848
KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Communication Systems, CoS, Radio Systems Laboratory (RS Lab).ORCID iD: 0000-0003-0125-2202
KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Communication Systems, CoS, Radio Systems Laboratory (RS Lab).ORCID iD: 0000-0003-0525-4491
(English)Manuscript (preprint) (Other academic)
Abstract [en]

Low power wide area networks (LPWANs) provide connectivity for IoT devices by leveraging grant-free radio access. This simplified access introduces reliability challenges, due to interference from intra/inter technology devices,  which is crucial to be investigated. In this work, using stochastic geometry, we derive closed-form expressions for moments of reliability in uplink transmissions of coexisting LPWANs. We leverage these expressions in deriving meta distribution, mean success probability, and mean local delay. We further investigate the interplay between traffic load, density of access points, and reliability/delay of communications, and investigate the bounds beyond which, mean local delay becomes infinite.

Keywords [en]
IoT Networks, Grant-free Access, Persistent Access Scheduling, Mean Local Delay, Meta Distribution
National Category
Engineering and Technology
Research subject
Telecommunication
Identifiers
URN: urn:nbn:se:kth:diva-268066OAI: oai:DiVA.org:kth-268066DiVA, id: diva2:1393504
Note

QC 20200217

Available from: 2020-02-17 Created: 2020-02-17 Last updated: 2020-02-17Bibliographically approved
In thesis
1. Energy and Delay-aware Communication and Computation in Wireless Networks
Open this publication in new window or tab >>Energy and Delay-aware Communication and Computation in Wireless Networks
2020 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

Power conservation has become a severe issue in devices since battery capability advancement is not keeping pace with the swift development of other technologies such as processing technologies. This issue becomes critical when both the number of resource-intensive applications and the number of connected devices are rapidly growing. The former results in an increase in power consumption per device, and the latter causes an increase in the total power consumption of devices. Mobile edge computing (MEC) and low power wide area networks (LPWANs) are raised as two important research areas in wireless networks, which can assist devices to save power. On the one hand, devices are being considered as a platform to run resource-intensive applications while they have limited resources such as battery and processing capabilities. On the other hand, LPWANs raised as an important enabler for massive IoT (Internet of Things) to provide long-range and reliable connectivity for low power devices. The scope of this thesis spans over these two main research areas: (1) MEC, where devices can use radio resources to offload their processing tasks to the cloud to save energy. (2) LPWAN, with grant-free radio access where devices from different technology transmit their packets without any handshaking process.

In particular, we consider a MEC network, where the processing resources are distributed in the proximity of the users. Hence, devices can save energy by transmitting the data to be processed to the edge cloud provided that the delay requirement is met and transmission power consumption is less than the local processing power consumption. This thesis addresses the question of whether to offload or not to minimize the uplink power consumption in a multi-cell multi-user MEC network. We consider the maximum acceptable delay as the QoS metric to be satisfied in our system. We formulate the problem as a mixed-integer nonlinear problem, which is converted into a convex form using D.C. approximation. To solve the converted optimization problem, we have proposed centralized and distributed algorithms for joint power allocation and channel assignment together with decision-making on job offloading. Our results show that there exists a region in which offloading can save power at mobile devices and increases the battery lifetime.

Another focus of this thesis is on LPWANs, which are becoming more and more popular, due to the limited battery capacity and the ever-increasing need for durable battery lifetime for IoT networks. Most studies evaluate the system performance assuming single radio access technology deployment. In this thesis, we study the impact of coexisting competing radio access technologies on the system performance. We consider K technologies, defined by time and frequency activity factors, bandwidth, and power, which share a set of radio resources. Leveraging tools from stochastic geometry, we derive closed-form expressions for the successful transmission probability, expected battery lifetime, experienced delay, and expected number of retransmissions. Our analytical model, which is validated by simulation results, provides a tool to evaluate the coexistence scenarios and analyze how the introduction of a new coexisting technology may degrade the system performance in terms of success probability, delay, and battery lifetime. We further investigate the interplay between traffic load, the density of access points, and reliability/delay of communications, and examine the bounds beyond which, mean delay becomes infinite.

Abstract [sv]

Antalet anslutna enheter till nätverk ökar. Det finns olika trender som mobil edgecomputing (MEC) och low power wide area-nätverk (LPWAN) som har blivit intressantai trådlösa nätverk. Därför står trådlösa nätverk inför nya utmaningar som ökadenergiförbrukning. I den här avhandlingen beaktar vi dessa två mobila nätverk. I MECavlastar mobila enheter sina bearbetningsuppgifter till centraliserad beräkningsresurser (”molnet”). I avhandlingensvarar vi på följande fråga: När det är energieffektivt att avlasta dessa beräkningsuppgifter till molnet?Vi föreslår två algoritmer för att bestämma den rätta tiden för överflyttning av beräkningsuppgifter till molnet.I LPWANs, antar vi att det finns ett mycket stort antal enheter av olika art som kommunicerar mednätverket. De använder s.k. ”Grant-free”-åtkomst för att ansluta till nätverket, där basstationerna inte ger explicita sändningstillstånd till enheterna. Denanalytiska modell som föreslås i avhandlingen utgör ett verktyg för att utvärdera sådana samexistensscenarier.Med verktygen kan vi analysera olika systems prestanda när det gäller framgångssannolikhet, fördröjning och batteriershållbarhetstid.

Place, publisher, year, edition, pages
KTH Royal Institute of Technology, 2020. p. 67
Keywords
Mobile Edge Computing, MEC, Grant-free Radio Access, Internet of Things, Convex Optimization, Stochastic Geometry
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Information and Communication Technology
Identifiers
urn:nbn:se:kth:diva-268054 (URN)978-91-7873-440-5 (ISBN)
Presentation
2020-03-06, Sal B, Electrum 229, Sal B, Kista, 10:00 (English)
Opponent
Supervisors
Projects
SOOGreen
Note

QC 20200228

Available from: 2020-02-17 Created: 2020-02-17 Last updated: 2020-03-02Bibliographically approved

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Masoudi, MeysamAzari, AminCavdar, Cicek

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