An Adaptive MBSFN Resource Allocation Algorithm for Multicast and Unicast Traffic

Khalid, Ihtisham; Girmay, Merkebu; Maglogiannis, Vasilis; Naudts, Dries; Shahid, Adnan; Moerman, Ingrid

doi:10.1109/ccnc51644.2023.10060040

Cited by 5 publications

(3 citation statements)

References 12 publications

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“…However, due to the dynamic nature of LTE and Wi-Fi traffic, setting fixed values of N mu and P mu is not spectrum efficient. To address this challenge, this work uses a dynamic MBSFN parameter configuration [9] to adaptively configure muted MBSFN subframes.…”

Section: Problem Definition and System Modelmentioning

confidence: 99%

Intelligent Spectrum Sharing Between LTE and Wi-Fi Networks using Muted MBSFN Subframes

Girmay

Avila-Campos

Maglogiannis

et al. 2023

2023 IEEE Wireless and Microwave Technology Conference (WAMICON)

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Due to the fast growth of diverse wireless network deployments, the radio spectrum is becoming scarce. Hence, it is beneficial that different radio access technologies share the spectrum in a harmonious way. In this paper, we propose a coexistence scheme between Long Term Evolution (LTE) and Wi-Fi networks that utilizes a Multimedia Broadcast Multicast Service (MBMS) over a Single Frequency Network (MBSFN) feature of an LTE network. MBSFN is an LTE feature that provides support for multicast/broadcast traffic. We propose an adaptive scheme that configures muted subframes, initially intended for MBSFN operation, to allow Wi-Fi transmissions. For the adaptive configuration of muted MBSFN subframes, the LTE eNB uses its traffic queue and the Wi-Fi spectrum occupancy information, which is determined by a convolutional neural network-based technology recognition and traffic characterization system. The standard LTE System Information Blocks are used to convey the updated configuration to the LTE UE. Hence, the proposed coexistence scheme doesn't require any modifications to a standard MBSFN-compliant LTE UE. Performance analysis is done for various traffic situations, and the results show that muted MBSFN subframe-based coexistence gives a 15% improvement in average aggregated throughput as compared to using Almost Blank Subframe-based coexistence.

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Section: Problem Definition and System Modelmentioning

confidence: 99%

Intelligent Spectrum Sharing Between LTE and Wi-Fi Networks using Muted MBSFN Subframes

Girmay

Avila-Campos

Maglogiannis

et al. 2023

2023 IEEE Wireless and Microwave Technology Conference (WAMICON)

Self Cite

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“…However, fixing the number of muted MBSFN subframes and MBSFN frames to a specific value for the whole connection period is not spectrum efficient since the resource allocation will not always be optimal due to the dynamic nature of the traffic. Therefore, it is essential to have a mechanism that adjusts the MBSFN parameter setup for demand-based resource allocation [24].…”

Section: B Proposed Resource Management Schemes In Lte Bandmentioning

confidence: 99%

“…The fifth generation (5G) of cellular networks envisions providing 1000 times increased capacity, 10-100 times higher data rates, and supporting 10-100 times more connected devices as compared to the legacy 4G Long-term Evolution (LTE) wireless networks [1]. These high numbers were supposed to be achieved if 5G New Radio (NR) operates in both C-band (3)(4)(5) and millimeter wave bands (24)(25)(26)(27)(28)(29)(30)(31)(32)(33)(34)(35)(36)(37)(38)(39)(40). Even though operating 5G NR on high frequencies with a broader bandwidth may result in faster data rates, using these high bandwidths would be unfavorable in terms of coverage due to the significant signal loss experienced through signal propagation and penetration.…”

Section: Introductionmentioning

confidence: 99%

Enabling Uncoordinated Dynamic Spectrum Sharing Between LTE and NR Networks

Girmay¹,

Maglogiannis²,

Naudts³

et al. 2023

Preprint

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<p>Dynamic Spectrum Sharing (DSS) is an enabler for a seamless transition from 4G Long Term Evolution (LTE) to 5G New Radio (NR) by utilizing existing LTE bands without static spectrum re-farming. In this paper, we propose a cross-band DSS scheme that utilizes the Multimedia Broadcast Multicast Service over a Single Frequency Network (MBSFN) feature of an LTE network and the Multicast Broadcast Service (MBS) feature of an NR network. The proposed DSS scheme utilizes LTE and NR resource controllers to assign muted MBSFN subframes on the LTE band and muted MBS subframes on the NR band based on traffic needs. In contrast to the state-of-the-art, the proposed DSS scheme does not require a coordination signaling channel between the LTE and NR networks. Instead, a machine learning-based Technology Recognition and Traffic Characterization (TRTC) system is used to identify and characterize traffic patterns. The LTE and NR resource controllers use the TRTC to sense the muted subframes and offload traffic accordingly.</p>

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