Design and Evaluation of an SDR-based LoRa Cloud Radio Access Network

Schiller, Eryk; Weber, Silas; Stiller, Burkhard

doi:10.1109/wimob50308.2020.9253387

Cited by 7 publications

(4 citation statements)

References 10 publications

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“…C-RAN [19] was first introduced by China Mobile for the optimization of CAPEX and OPEX in future mobile networks. Several approaches exist in the scope of cloudified 4 LoRa, such as [9], [22], [38]. [9] studies different RRU/BBU split configurations and provides a LoRa monitoring application within the cloud environment.…”

Section: E Related Work In Detailmentioning

confidence: 99%

“…It is unclear, whether their cloudified decoder is able to decode LoRa signals. [38] provides a working C-RAN system based on the existing LoRa encoder/decoder implementation [35]. [22] studies front haul compression able to reduce the RRU-BBU communication by a factor of 93.7%.…”

Section: E Related Work In Detailmentioning

confidence: 99%

“…[22] studies front haul compression able to reduce the RRU-BBU communication by a factor of 93.7%. This work mainly extends [38] with the docker.io 5 migration functionality of cloudified BBUs.…”

Section: E Related Work In Detailmentioning

confidence: 99%

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Toward a Live BBU Container Migration in Wireless Networks

Schiller¹,

Ajayi²,

Weber

et al. 2022

IEEE Open J. Commun. Soc.

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Cloud Radio Access Networks (Cloud-RANs) have recently emerged as a promising architecture to meet the increasing demands and expectations of future wireless networks. Such an architecture can enable dynamic and flexible network operations to address significant challenges, such as higher mobile traffic volumes and increasing network operation costs. However, the implementation of compute-intensive signal processing Network Functions (NFs) on the General Purpose Processors (General Purpose Processors) that are typically found in data centers could lead to performance complications, such as in the case of overloaded servers. There is therefore a need for methods that ensure the availability and continuity of critical wireless network functionality in such circumstances.Motivated by the goal of providing highly available and fault-tolerant functionality in Cloud-RAN-based networks, this paper proposes the design, specification, and implementation of live migration of containerized Baseband Units (BBUs) in two wireless network settings, namely Long Range Wide Area Network (LoRaWAN) and Long Term Evolution (LTE) networks. Driven by the requirements and critical challenges of live migration, the approach shows that in the case of LoRaWAN networks, the migration of BBUs is currently possible with relatively low downtimes to support network continuity. The analysis and comparison of the performance of functional splits and cell configurations in both networks were performed in terms of fronthaul throughput requirements. The results obtained from such an analysis can be used by both service providers and network operators in the deployment and optimization of Cloud-RANs services, in order to ensure network reliability and continuity in cloud environments.

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Section: E Related Work In Detailmentioning

confidence: 99%

Section: E Related Work In Detailmentioning

confidence: 99%

See 1 more Smart Citation

Toward a Live BBU Container Migration in Wireless Networks

Schiller¹,

Ajayi²,

Weber

et al. 2022

IEEE Open J. Commun. Soc.

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“…The investigation of the LoRa PHY remains a challenge for the research community. In recent years, a lot of research are centered on the LoRa PHY using the SDR platform [11,12,13,14]. These works focus on the reverse engineering process to implement the LoRa physical layer.…”

Section: B Gnuradio Software and Lora Librariesmentioning

confidence: 99%

Performance Evaluation of the Angle of Arrival of LoRa Signals under Interference

Hussein

Baala

Spies

et al. 2022

2022 IEEE Ninth International Conference on Communications and Electronics (ICCE)

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Tracking objects in indoor is always a challenge for a variety of Internet of Things (IoT) applications. Nowadays, many indoor tracking applications use Low-Power Wide-Area Networks (LPWAN) for Machine-to-Machine (M2M) communication. LoRa is a promising LPWAN radio communication technology designed for wide-area coverage and low-power embedded IoT devices. The objective of this paper is to evaluate the performance of the Angle of Arrival (AoA) direction finding approach in an indoor environment. The AoA performance of the LoRa signal is evaluated using different modulation settings, including Channel Bandwidth (BW) and spreading factor (SF). We measure the AoA accuracy of the LoRa signal using an individual Universal Software Radio Peripheral (USRP) B210, Software Defined Radio (SDR) receiver with the help of the GNU radio software development toolkit. In addition, a new approach to measure the AoA of LoRa signal under interference is investigated. We show that by using the Autocorrelation function combined with our direction finding algorithm, the detection and measurement of two simultaneous receptions is possible. The entire experimental setup was implemented in our indoor office environment.Index Terms-Long-Range (LoRa), Low-Power Wide-Area Networks (LPWANs), Software Defined Radio (SDR), Angle of Arrival (AoA).

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