On the Coexistence of LTE-LAA in the Unlicensed Band: Modeling and Performance Analysis

Bitar, Naim; Kalaa, Mohamad Omar Al; Seidman, Seth J.; Refai, Hazem H.

doi:10.1109/access.2018.2870757

Cited by 40 publications

(27 citation statements)

References 32 publications

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“…Based on Markov chain model, the performance of the CLWNets in terms of transmission probability, throughput and channel access delay [12]- [15] have been studied analytically. In [12], the transmission probabilities of WAPs and LAPs in the CLWNets were analysed. The results indicated that LAPs has a higher transmission probability as compared to WAPs.…”

Section: A Related Work and Motivationmentioning

confidence: 99%

“…Step 4: The retained interfering LAPs and WAPs are simulated following equation (12). As a result, the SINR value of the typical LUE or WUE can be obtained.…”

Section: The Stp Ue Throughput and Ssementioning

confidence: 99%

“…The outer region, i.e., V locations that interfering LAPs cannot occur. By assuming the retaining LAPs have equal probability (i.e., 1/M ) to access one of the M UCs, the retaining probability of an interfering LAP x i can be achieved as the result in (12). The result for an interfering WAP can be obtained in a way similar to the interfering LAP, which is omitted in this work.…”

Section: Appendix C Proof Of Propositionmentioning

confidence: 99%

“…where e LL x i and e LW y j respectively denote the retaining indicators of the interfering LAP x i and the interfering WAP y j , which equals 1 when the AP retains and equals 0 otherwise. Based on the retaining probability of the interfering LAP in (12), the expectation of the aggregate interference power I LL generated by the retained interfering LAPs can be approximated as:…”

Section: Appendix D Proof Of Lemmamentioning

confidence: 99%

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Density Analysis of LTE-LAA Networks Coexisting With WiFi Sharing Multiple Unlicensed Channels

Gao

Zhang

et al. 2019

IEEE Access

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With data traffic explosion, operating Long-Term Evolution (LTE) in the 5 GHz unlicensed band, which has already been used by WiFi networks, has been proposed. To harmoniously coexist with the incumbent WiFi networks, LTE-Licensed Assisted Access (LAA) has been proposed recently, advocating cellular networks to access the unlicensed band by employing listen-before-talk mechanism. However, the performance of LAA has not been analysed under multiple accessible unlicensed channels (UCs). In this work, we analyse the user throughput and spatial spectral efficiency (SSE) of the multi-UC coexisting LTE-LAA and WiFi networks versus the network density based on the Matern hard core process. The throughput and SSE are obtained as functions of the downlink successful transmission probability (STP), of which analytical expressions are derived and validated by Monte Carlo simulations. The results show that an optimal LTE access point (LAP) density exists to maximise the LTE-LAA user equipment (LUE) throughput, and our derived closed-form STP lower bound of LUE can be used to obtain a sufficiently accurate prediction of the optimal LAP density. Moreover, the SSE does not change much under relatively low LAP densities, and when the LAP density is larger than 1, 585 LAPs per km 2 , the SSE approaches the asymptotic SSE as the LAP density approaches infinity. INDEX TERMS LTE-LAA, WiFi, multiple unlicensed channels, Matern hard core process, successful transmission probability.

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Section: A Related Work and Motivationmentioning

confidence: 99%

“…Step 4: The retained interfering LAPs and WAPs are simulated following equation (12). As a result, the SINR value of the typical LUE or WUE can be obtained.…”

Section: The Stp Ue Throughput and Ssementioning

confidence: 99%

Section: Appendix C Proof Of Propositionmentioning

confidence: 99%

Section: Appendix D Proof Of Lemmamentioning

confidence: 99%

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Density Analysis of LTE-LAA Networks Coexisting With WiFi Sharing Multiple Unlicensed Channels

Gao

Zhang

et al. 2019

IEEE Access

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“…In [10,11], the impact of priorities is assessed with a standardized throughput indicator and assuming ideal propagation conditions. However, the problem of heterogeneity of coexisting systems is identified, while the proposed scenario is far from dense.…”

Section: Introductionmentioning

confidence: 99%

KQI Performance Evaluation of 3GPP LBT Priorities for Indoor Unlicensed Coexistence Scenarios

2020

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The rapid proliferation of user devices with access to mobile broadband has been a challenge from both the operation and deployment points of view. With the incorporation of new services with high demand for bandwidth such as video in 4K, it has been deemed necessary to expand the existing capacity by including new bands, among which the unlicensed 5-GHz band is a very promising candidate. The operation of future 3GPP (Third Generation Partnership Project) mobile network standards deployments in this band implies the coexistence with other technologies such as WiFi, which is widespread. In this context, the provision of Quality of Service (QoS) or Quality of Experience (QoE) becomes an essential asset and is a challenge that has yet to be overcome. In this sense, 3GPP has proposed a traffic prioritization method based on the Listen Before Talk access parameters, defining a series of priorities. However, it does not specify how to make use of them, and even less so in potentially conflicting situations. This paper assesses the end-to-end performance of downlink unlicensed channel priorities in dense scenarios via implementing a novel simulation setup in terms of both multi-service performance and coexistence.

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Development of Analytical Framework for Evaluation of LTE-LAA Probabilistic Metrics

Korshykov

Daraseliya

Sopin

2019

Lecture Notes in Computer Science

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On the Coexistence of LTE-LAA in the Unlicensed Band: Modeling and Performance Analysis

Cited by 40 publications

References 32 publications

Density Analysis of LTE-LAA Networks Coexisting With WiFi Sharing Multiple Unlicensed Channels

Density Analysis of LTE-LAA Networks Coexisting With WiFi Sharing Multiple Unlicensed Channels

KQI Performance Evaluation of 3GPP LBT Priorities for Indoor Unlicensed Coexistence Scenarios

Development of Analytical Framework for Evaluation of LTE-LAA Probabilistic Metrics

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