Link layer structure for LTE-WLAN aggregation in LTE-Advanced and 5G network

Ohta, Yoshichika; Nakamura, Masatoshi; Aikawa, S.; Ode, Takayoshi

doi:10.1109/cscn.2015.7390425

Cited by 8 publications

(8 citation statements)

References 1 publication

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“…Zhu et al verifies the feasibility for carrier aggregation with 256-QAM WLAN and 40 MHz LTE in digital polar transmitter [7]. LWA layer 2 structure proposals illustrated in [8] could be well compatible to existing LTE and WLAN specifications. Moreover, LWA system design in [9] exhibits the aggregation mechanism and infrastructure coordination between the LTE and WLAN infrastructure.…”

Section: Introductionmentioning

confidence: 95%

“…The optimality equation in (8)  is the optimal solution of problem (7). Proof: The optimal equation 11is the subproblems for the entire optimization problem in (7).…”

Section: Properties Of the Optimal Policymentioning

confidence: 99%

“…The granularity of the discrete state element s is σ and obviously 0 σ > (such as 1 Mbits). The optimal policy * π is obtained by backward induction in solving the objective function in (7) with the optimality equation in (8) and the boundary constraint in (10). The proposition in [17 pp.86] clarifies the optimal policy can be derived from the solution to the optimal equation from slot 1 = t and backward to = t T .…”

Section: Properties Of the Optimal Policymentioning

confidence: 99%

“…is independent of s , then ( , ) μ α t s, u is non-decreasing function in s .From (8), the minimum of ( , ) μ α t s, u is ( ) α (8). From the expansion of (14), we get the third one.…”

mentioning

confidence: 96%

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Delay-Aware LTE WLAN Aggregation for 5G Unlicensed Spectrum Usage

Liu¹,

Zhu

2017

2017 IEEE 85th Vehicular Technology Conference (VTC Spring)

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In 5G heterogeneous evolution, the unlicensed band has captured much attention. Specified by 3GPP Release 13, LTE WLAN aggregation (LWA) is deemed as an effective approach for spectrum integration of 5G heterogeneous networks (HetNet). However, most of previous works about LWA lie in the architecture design, and rarely investigate LWA algorithm analytically. In this paper, we formulate the network access and aggregation problem for delay-tolerant application in multiple slots, and further develop a delay-aware LTE WLAN aggregation algorithm (DLWA) based on dynamic programming, which is aimed to minimize the user payment with QoS requirement. To reduce the complexity, we prove optimal decision policy and simplify the searching space of scheme sets. Simulation results show that, comparing with the current WLAN interworking solutions, the algorithm could lower the payment and achieve high completion probability under specified transmission deadline. The framework presented can support WLAN offloading scheme as well, which enables the best use of unlicensed resource.

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Section: Introductionmentioning

confidence: 95%

“…The optimality equation in (8)  is the optimal solution of problem (7). Proof: The optimal equation 11is the subproblems for the entire optimization problem in (7).…”

Section: Properties Of the Optimal Policymentioning

confidence: 99%

Section: Properties Of the Optimal Policymentioning

confidence: 99%

“…is independent of s , then ( , ) μ α t s, u is non-decreasing function in s .From (8), the minimum of ( , ) μ α t s, u is ( ) α (8). From the expansion of (14), we get the third one.…”

mentioning

confidence: 96%

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Delay-Aware LTE WLAN Aggregation for 5G Unlicensed Spectrum Usage

Liu¹,

Zhu

2017

2017 IEEE 85th Vehicular Technology Conference (VTC Spring)

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“…WiFi network provides four Access Categories (AC) ( AC_VO, AC_VI, AC_BE and AC_BK..)and eight user priorities(0~7)for traffics [31]. LTE [32] defines 9 categories for traffics, in which QoS Class Identifier (QCI) is used as identification mark and the range of QCI is 1-9, corresponding to different resource types, priority, delay and packet loss rate. QCI is also divided into Guaranteed Bit Rate (GBR) and non-guaranteed Bit Rate (non-GBR).…”

Section: Traffic Classificationmentioning

confidence: 99%

New Cross-Domain QoE Guarantee Method Based on Isomorphism Flow

Wang

Chen

Wang

et al. 2019

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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This paper investigates the issue of Quality of Experience (QoE) for multimedia services in Internet of Things (IoT), introduces a new concept of "Isomorphism Flow"(iFlow) for multimedia traffic in IoT, which is inspired by abstract algebra based on experimental research and is aggregated from the multimedia traffics with similar Quality of Experience (QoE) requirements for different users, and improves typical QoE evaluation method for multimedia traffic in IoT.Then a new cross-domain QoE guarantee method based on the iFlow QoE is proposed in this paper to adjust the network resource from the perspective of user perception. The proposed scheme is validated through simulation, which indicates the proposed scheme outperforms the current scheme. Specifically, simulation results show that the proposed scheme achieves an enhancement in QoE performance for the multimedia traffics. Furthermore, it retains the perceived QoE of the real-time application users within high satisfaction levels.

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