Uplink Performance of Enhanced Licensed Assisted Access (eLAA) in Unlicensed Spectrum

Karaki, Reem; Cheng, Jung-Fu; Obregon, Evanny; Mukherjee, Amitav; Du, Kai; Falahati, Sorour; Koorapaty, H.; Drugge, Oskar

doi:10.1109/wcnc.2017.7925553

Cited by 18 publications

(9 citation statements)

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“…However, the presence of LBT in channel access, characterized by a decentralized and asynchronous random access to the radio channel for uplink data transmission, can highly degrade NR-U performance in terms of channel access delay and latency due to the LBT requirement for each new transmission. In this scenario, the UEs' system has a disadvantage in accessing the channel as they need to go through the following contentions for uplink in the NR-U system [13,34]:…”

Section: Challenges and Research Directionsmentioning

confidence: 99%

“…MulteFire makes the deployment of standalone LTE [11] radio technology possible in the 5 GHz unlicensed band, whereas 3GPP proposes 5G New Radio in the Unlicensed band (NR-U), an idea of extending MulteFire in 5G with both standalone and non-standalone modes (anchor with licensed spectrum) [12] of operation in the shared/unlicensed bands. We believe both technologies are potential candidates for next-generation communication for a smart industry that merges the quality of performance of LTE with the deployment ease of WiFi [13]. That is, end-users (enterprises) will install MulteFire/NR-U access points in place of WiFi gateways to provide LTE coverage for the Industry 4.0 scenario.…”

Section: Introductionmentioning

confidence: 99%

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Future Is Unlicensed: Private 5G Unlicensed Network for Connecting Industries of Future

Bajracharya

Shrestha

Jung

2020

Sensors

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This paper aims to unlock the unlicensed band potential in realizing the Industry 4.0 communication goals of the Fifth-Generation (5G) and beyond. New Radio in the Unlicensed band (NR-U) is a new NR Release 16 mode of operation that has the capability to offer the necessary technology for cellular operators to integrate the unlicensed spectrum into 5G networks. NR-U enables both uplink and downlink operation in unlicensed bands, supporting 5G advanced features of ultra-high-speed, high bandwidth, low latency, and improvement in the reliability of wireless communications, which is essential to address massive-scale and highly-diverse future industrial networks. This paper highlights NR-U as a next-generation communication technology for smart industrial network communication and discusses the technology trends adopted by 5G in support of the Industry 4.0 revolution. However, due to operation in the shared/unlicensed spectrum, NR-U possesses several regulatory and coexistence challenges, limiting its application for operationally intensive environments such as manufacturing, supply chain, transportation systems, and energy. Thus, we discuss the significant challenges and potential solution approaches such as shared maximum channel occupancy time (MCOT), handover skipping, the self-organized network (SON), the adaptive back-off mechanism, and the multi-domain coexistence approach to overcome the unlicensed/shared band challenges and boost the realization of NR-U technology in mission-critical industrial applications. Further, we highlight the role of machine learning in providing the necessary intelligence and adaptation mechanisms for the realization of industrial 5G communication goals.

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Section: Challenges and Research Directionsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Future Is Unlicensed: Private 5G Unlicensed Network for Connecting Industries of Future

Bajracharya

Shrestha

Jung

2020

Sensors

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“…In [16]- [20], the authors focus on UL performance of LTE in the unlicensed spectrum. In [16], the authors propose efficient UL grant transmission. In [17], the authors avoid wasting resources due to hidden terminals through overscheduling.…”

Section: A Related Workmentioning

confidence: 99%

Uplink Channel Access Enhancement for Cellular Communication in Unlicensed Spectrum

Kim

Bahk

2020

IEEE Access

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3GPP cellular communications in unlicensed spectrum allow transmission only after completing listen-before-talk (LBT) operation. For downlink, the LBT operation helps cellular traffic to coexist well with Wi-Fi traffic. However, cellular uplink transmission is attempted only at the time specifically determined by the base station after having a successful LBT and the user equipment (UE) may suffer transmission failure and delayed transmission due to Wi-Fi interference. As a result, cellular uplink traffic does not coexist well with Wi-Fi traffic. This paper mathematically analyzes the problem of unfairness between cellular and Wi-Fi for uplink channel access. To address the coexistence problem in unlicensed spectrum, we propose a standard-compliant approach, termed UpChance, which allows the UE to use a minimum length of uplink reservation signal and the base station to determine the optimal timing for the UE's uplink transmission. Through ns-3 simulation, we verify that UpChance improves the performance of fairness and random access completion time by up to 88% and 99%, respectively.

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“…To improve the utilization of unlicensed band resources, several approaches have been suggested. In [15][16][17], multisubframe scheduling (MSS), a simple modification of the conventional scheduling, is proposed. MSS enables a single uplink grant to indicate multiple resource allocation across multiple subframes.…”

Section: Introductionmentioning

confidence: 99%

Decentralized and Dynamic Band Selection in Uplink Enhanced Licensed-Assisted Access: Deep Reinforcement Learning Approach

Tilahun

Kang

2020

Wireless Communications and Mobile Computing

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Enhanced licensed-assisted access (eLAA) is an operational mode that allows the use of unlicensed band to support long-term evolution (LTE) service via carrier aggregation technology. The extension of additional bandwidth is beneficial to meet the demands of the growing mobile traffic. In the uplink eLAA, which is prone to unexpected interference from WiFi access points, resource scheduling by the base station, and then performing a listen before talk (LBT) mechanism by the users can seriously affect the resource utilization. In this paper, we present a decentralized deep reinforcement learning (DRL)-based approach in which each user independently learns dynamic band selection strategy that maximizes its own rate. Through extensive simulations, we show that the proposed DRL-based band selection scheme improves resource utilization while supporting certain minimum quality of service (QoS).

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Uplink Performance of Enhanced Licensed Assisted Access (eLAA) in Unlicensed Spectrum

Cited by 18 publications

References 1 publication

Future Is Unlicensed: Private 5G Unlicensed Network for Connecting Industries of Future

Future Is Unlicensed: Private 5G Unlicensed Network for Connecting Industries of Future

Uplink Channel Access Enhancement for Cellular Communication in Unlicensed Spectrum

Decentralized and Dynamic Band Selection in Uplink Enhanced Licensed-Assisted Access: Deep Reinforcement Learning Approach

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