Full-Duplex-Based Rate/Mode Adaptation Strategies for Wi-Fi/LTE-U Coexistence: A POMDP Approach

Hirzallah, Mohammed; Afifi, Wessam; Krunz, Marwan

doi:10.1109/jsac.2016.2632598

Cited by 43 publications

(15 citation statements)

References 21 publications

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“…Existing works on LTE/Wi-Fi coexistence mainly focus on optimizing LBT channel access [7], designing of collision detection schemes [8], [9], optimizing the resource allocation among MNOs [10]- [12], detecting misbehaving of LTE/Wi-Fi [13]. Detailed surveys are given in [14], [15], [16].…”

Section: Related Workmentioning

confidence: 99%

“…Under this assumption, the dissimilarity in between the energy detection thresholds adopted by the different coexisting technologies can be ignored. Therefore, the counter-freezing probability can be written as the probability of the the event of having one or more transmitters accessing channel simultaneously in the same time slot, as shown in (8).…”

Section: B Markov-based Modelmentioning

confidence: 99%

See 1 more Smart Citation

On Modeling and Optimizing LTE/Wi-Fi Coexistence with Prioritized Traffic Classes

Hirzallah

Xiao

Krunz

2018

2018 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)

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The dramatic growth in demand for mobile data service has prompted mobile network operators (MNOs) to explore new spectrum resources in unlicensed bands. MNOs have been recently allowed to extend LTE-based service called LTE-LAA over 5 GHz U-NII bands, currently occupied by Wi-Fi. To support applications with diverse QoS requirements, both LTE and Wi-Fi technologies introduce multiple priority classes with different channel contention parameters for accessing unlicensed bands. How these different priority classes affect the interplay between coexisting LTE and Wi-Fi technologies is still relatively under explored. In this paper, we develop a simple and efficient framework that helps MNOs assess the fair coexistence between MNOs and Wi-Fi operators with prioritized channel access under multi-channel setting. We derive an approximated close-form solution for each MNO to pre-evaluate the probability of successful transmission (PST), average contention delay, and average throughput when adopting different priority classes to serve different traffics. MNOs and Wi-Fi operators can fit our model using measurements collected offline and/or online, and use it to further optimize their systems' throughput and latency. Our results reveal that PSTs computed with our approximated closed-form model approach those collected from system-level simulations with around 95% accuracy under scenarios of dense network deployment density and high traffic intensity.

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Section: Related Workmentioning

confidence: 99%

Section: B Markov-based Modelmentioning

confidence: 99%

On Modeling and Optimizing LTE/Wi-Fi Coexistence with Prioritized Traffic Classes

Hirzallah

Xiao

Krunz

2018

2018 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)

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“…The LBT concept that detects the channel usage before transmitting data was studied in [11][12][13][14]. This scheme can be further categorized into with or without the random backoff mechanism.…”

Section: Introductionmentioning

confidence: 99%

Design and Implementation of Time-Domain Interference Cancellation Receiver for LTE-U Systems

Wang

Chiueh

2020

IEEE Access

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Mobile devices nowadays have penetrated our daily life and they play a big role in our social, professional, and recreational activities. In order to satisfy the booming demands for mobile communications from their customers, the telecommunication service provides work very hard to secure more spectrum and construct more base-stations. As such, they have looked into unlicensed spectrum for possible deployment of their mobile services. Toward this end, this paper presents a time-domain interference cancellation (TDIC) receiver technique that can enhance the efficiency of mobile communication networks coexisting with Wi-Fi traffic in the unlicensed bands. Moreover, transmitter power control and novel channel estimation are proposed to optimize the overall throughput of the fourth-generation mobile communication networks operating in the unlicensed bands (LTE-U). We further show by simulation and by over-the-air (OTA) real-time demonstration that the proposed solution indeed can achieve reliable reception of LTE-U signals under Wi-Fi interferences with different power levels.

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“…Reinforcement learning is a powerful decision-making tool, which maps situations to actions so as to maximize a numerical reward function [14]. As a popular member of the reinforcement learning family, both the Markov decision process (MDP) as well as the partially observable Markov decision process (POMDP) have been widely used for beneficial network association, such as access point selection in super-WiFi networks [15], rate and mode adaptation for WiFi/LTE-U hybrid networks [16], etc. In [17], Zhao et al proposed a POMDPbased cognitive MAC protocol for opportunistic spectrum access (OSC) in wireless network, and provided a reducedcomplexity suboptimal algorithm.…”

Section: Introductionmentioning

confidence: 99%

Network Association in Machine-Learning Aided Cognitive Radar and Communication Co-Design

Wang

Guan

Jiang

et al. 2019

IEEE J. Select. Areas Commun.

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In order to beneficially exploit the scarce wireless spectral resources, spectrum sharing between communication and radar systems has become a promising research topic. However, traditional network association strategies may not result in efficient hybrid communication and radar systems. We circumvent this problem by formulating a partially observable Markov decision processes (POMDP) aided network association scheme, where the radar user acts as the primary user (PU), while the cognitive communication user is the secondary user (SU). For maximizing the network throughput, whilst minimizing the interference imposed on the radar user, the communication user is configured for adaptively selecting its underlay or overlay access mode. Moreover, a low-complexity near-optimal reinforcement learning algorithm is proposed for the co-design by considering both its complexity and feasibility. Finally, we quantify the performance of our proposed POMDP based network association scheme.

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Full-Duplex-Based Rate/Mode Adaptation Strategies for Wi-Fi/LTE-U Coexistence: A POMDP Approach

Cited by 43 publications

References 21 publications

On Modeling and Optimizing LTE/Wi-Fi Coexistence with Prioritized Traffic Classes

On Modeling and Optimizing LTE/Wi-Fi Coexistence with Prioritized Traffic Classes

Design and Implementation of Time-Domain Interference Cancellation Receiver for LTE-U Systems

Network Association in Machine-Learning Aided Cognitive Radar and Communication Co-Design

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