Dynamic Spectrum Access with Reinforcement Learning for Unlicensed Access in 5G and Beyond

Mosleh, Susanna; Ma, Yao; Rezac, Jacob D.; Coder, Jason B.

doi:10.1109/vtc2020-spring48590.2020.9129381

Cited by 28 publications

(16 citation statements)

References 13 publications

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“…For space reasons, we do not present other important topics, such as dynamic spectrum sharing, dual connectivity, fullduplex communication, and integrated access and backhaul. Readers can refer to [66]- [68] for a discussion on these topics.…”

Section: N E W P H Y S I C a L L A Y E R T E C H N I Q U E S F O Rmentioning

confidence: 99%

6G Wireless Systems: Vision, Requirements, Challenges, Insights, and Opportunities

Shafi²,

et al. 2021

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Mobile communications have been undergoing a generational change every ten years or so. However, the time difference between the so-called "G's" is also decreasing.While fifth-generation (5G) systems are becoming a commercial reality, there is already significant interest in systems beyond 5G, which we refer to as the sixth generation (6G) of wireless systems. In contrast to the already published papers on the topic, we take a top-down approach to 6G. More precisely, we present a holistic discussion of 6G systems beginning with lifestyle and societal changes driving the need for next-generation networks. This is followed by a discussion into the technical requirements needed to enable 6G applications, based on which we dissect key challenges and possibilities for practically realizable system solutions across all layers of the Open Systems Interconnection stack (i.e., from applications to the physical layer). Since many of the 6G applications

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Section: N E W P H Y S I C a L L A Y E R T E C H N I Q U E S F O Rmentioning

confidence: 99%

6G Wireless Systems: Vision, Requirements, Challenges, Insights, and Opportunities

Shafi²,

et al. 2021

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“…Conforming with the analytical model in [7], [10], [11], the LAA and Wi-Fi throughputs, indicated respectively by S L and S W , are functions of m MAC and PHY layer parameters in a vector θ conditioned on fixed values in a vector x,…”

Section: System Model and Assumptionsmentioning

confidence: 99%

Optimizing Unlicensed Band Spectrum Sharing With Subspace-Based Pareto Tracing

Grey

Mosleh

Rezac

et al. 2021

ICC 2021 - IEEE International Conference on Communications

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To meet the ever-growing demands of data throughput for forthcoming and deployed wireless networks, new wireless technologies like Long-Term Evolution License-Assisted Access (LTE-LAA) operate in shared and unlicensed bands. However, the LAA network must co-exist with incumbent IEEE 802.11 Wi-Fi systems. We consider a coexistence scenario where multiple LAA and Wi-Fi links share an unlicensed band. We aim to improve this coexistence by maximizing the key performance indicators (KPIs) of these networks simultaneously via dimension reduction and multi-criteria optimization. These KPIs are network throughputs as a function of medium access control protocols and physical layer parameters. We perform an exploratory analysis of coexistence behavior by approximating active subspaces to identify low-dimensional structure in the optimization criteria, i.e., few linear combinations of parameters for simultaneously maximizing KPIs. We leverage an aggregate low-dimensional subspace parametrized by approximated active subspaces of throughputs to facilitate multi-criteria optimization. The lowdimensional subspace approximations inform visualizations revealing convex KPIs over mixed active coordinates leading to an analytic Pareto trace of near-optimal solutions.

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“…For this reason, the sensing antenna gain for oCST is M BS × 10 −0.7 . The probabilities in (5) are based on whether the sensing BS is within the main lobe of the transmitting BS or not.…”

Section: Tackling Hidden and Deaf Interferersmentioning

confidence: 99%

Uncoordinated Spectrum Sharing in Millimeter Wave Networks Using Carrier Sensing

Sarkar¹,

Zhang²,

Bhuyan³

et al. 2021

Preprint

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We propose using Carrier Sensing (CS) for distributed interference management in millimeter-wave (mmWave) cellular networks where spectrum is shared by multiple operators that do not coordinate among themselves. In addition, even the base station sites can be shared by the operators. We describe important challenges in using traditional CS in this setting and propose enhanced CS protocols to address these challenges. Using stochastic geometry, we develop a general framework for downlink coverage probability analysis of our shared mmWave network in the presence of CS and derive the downlink coverage probability expressions for several CS protocols. To the best of our knowledge, our work is the first to investigate and analyze (using stochastic geometry) CS for mmWave networks with spectrum and BS sites shared among non-coordinating operators. We evaluate the downlink coverage probability of our shared mmWave network using simulations as well as numerical examples based on our analysis.Our evaluations show that our proposed enhancements lead to an improvement in downlink coverage probability, compared to the downlink coverage probability with no CS, for higher values of signal-tointerference and noise ratio (SINR). Interestingly, our evaluations also reveal that for lower values of SINR, not using any CS is the best strategy in terms of the downlink coverage probability.

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Dynamic Spectrum Access with Reinforcement Learning for Unlicensed Access in 5G and Beyond

Cited by 28 publications

References 13 publications

6G Wireless Systems: Vision, Requirements, Challenges, Insights, and Opportunities

6G Wireless Systems: Vision, Requirements, Challenges, Insights, and Opportunities

Optimizing Unlicensed Band Spectrum Sharing With Subspace-Based Pareto Tracing

Uncoordinated Spectrum Sharing in Millimeter Wave Networks Using Carrier Sensing

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