Modeling the Unlicensed Band Allocation for LAA With Buffering Mechanism

Chou, Po-Heng

doi:10.1109/lcomm.2019.2892988

Cited by 6 publications

(3 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The coexistence of the Wi‐Fi and the LAA is an urgent problem to be solved. There are a lot of researches on this problem [4–9]. By modifying the famous Bianchi model, Mehrnoush et al.…”

Section: Introductionmentioning

confidence: 99%

“…The coexistence of the Wi-Fi and the LAA is an urgent problem to be solved. There are a lot of researches on this problem [4][5][6][7][8][9]. By modifying the famous Bianchi model, Mehrnoush et al developed a novel solution to obtain the capacity of the LTE-LAA and the Wi-Fi, and studied the influence of different network parameters on the coexistence of the LTE-LAA and the Wi-Fi [4].…”

Section: Introductionmentioning

confidence: 99%

“…By modifying the famous Bianchi model, Mehrnoush et al developed a novel solution to obtain the capacity of the LTE-LAA and the Wi-Fi, and studied the influence of different network parameters on the coexistence of the LTE-LAA and the Wi-Fi [4]. In [5], an analysis model was proposed to improve the unlicensed band allocation on account of the acceptance rate of the packets of the Wi-Fi and the LAA. In order to support the applications with different QoS requirements, the Wi-Fi, LAA and NR-unlicensed provided multiple priorities to access the unauthorized channel [6].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Effective capacity optimization for UDN

Xie

Ai²,

2022

IET Communications

View full text Add to dashboard Cite

For the ultra‐dense distributed network (UDN), the intensive deployment leads to the collision problem of the unlicensed spectrum access due to the random contention access mechanism of the unlicensed spectrum, which is difficult to improve the user quality of service (QoS). Here, the wireless access process of the licensed assisted access (LAA) network is modelled as a four‐state semi‐Markov model. Then, the effective capacity (EC) of the UDN based on the random access is derived, and the network capacity limit under the QoS requirements in the unlicensed spectrum is given. Based on the obtained EC, two power control algorithms are proposed to maximize the EC and effective energy efficiency (EEE) respectively under the user QoS requirements. Finally, numerical results verify the accuracy of the proposed theory, and the capacity‐delay domain of the UDN is given. The simulation results show that the proposed algorithms improve the EC and the EEE compared with existing classical schemes.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Effective capacity optimization for UDN

Xie

Ai²,

2022

IET Communications

View full text Add to dashboard Cite

show abstract

Deep reinforcement learning based relaying for buffer-aided cooperative communications

Abou-Rjeily

El-Zahr

2023

Physical Communication

View full text Add to dashboard Cite

Transmission of Live Detection Data Based on Modified D2D

Zheng¹,

Li²,

Zhao³

et al. 2020

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

While the standardization of live detection process helps ensure safe operation of substation equipment significantly, data transmission between detection equipment and the handheld tablet is still a great challenge. In this article, we propose a communication method for live detection in substations with D2D in licensed band and unlicensed band. Firstly, we analyze the scenario of live detection in substation and compare various near field communication methods. Secondly, we study the key technologies of D2D mainly including spectrum resource management and channel access mechanism. Finally, we perform system level simulation on D2D in licensed and unlicensed band, whose results show that modified D2D can achieve high quality communication between detection equipment and the handheld tablet.

show abstract

Modeling the Unlicensed Band Allocation for LAA With Buffering Mechanism

Cited by 6 publications

References 7 publications

Effective capacity optimization for UDN

Effective capacity optimization for UDN

Deep reinforcement learning based relaying for buffer-aided cooperative communications

Transmission of Live Detection Data Based on Modified D2D

Contact Info

Product

Resources

About