Multiple Access Points Deployment Optimization in Cabin Wireless Communications

Zhang, Chao; Yu, Junzhou; Pang, Keke

doi:10.1109/lawp.2013.2282156

Cited by 8 publications

(6 citation statements)

References 8 publications

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“…In order for the data transmission between the APs to not cause any electromagnetic interference (EMI) to the avionic system and flight safety within the aircraft, they are connected to each other as a fiber connection with RF Over Fiber (RFoF) technology as in Figure 2. With the RFoF system, due to the low emission power of the antennas and the fiber links that do not contain electromagnetic radiation, it can effectively reduce the EMI threats from wireless access during flight (Zhang et al, 2013). Compared to the standard system, it is thought that a 4-8 dB reduction in electric field strength can be achieved by using RFoF based access in the cabinet.…”

Section: Connections Between Access Pointsmentioning

confidence: 99%

Microstrip Patch Antenna System Design for In-Cabin Wireless Communications and Internet Services

Dündar¹,

KOYUNCU²,

OZCELIK³

2021

EPSTEM

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Due to the increasing communication requirements, using the internet when air traveling is no longer luxury but it is a necessity. In this paper, a microstrip patch antenna system has been designed which can be used as an access point and provide internet connections at the 5GHz band in the Airbus A321 type of aircraft. The electromagnetic field radiation simulation and positioning of the designed antennas in the aircraft cabin have been performed also. The microstrip antennas have been designed within IEEE 802.11 ac/ax standard. 5GHz WiFi internet service is providing at 5300 MHz (CH 60) center frequency with 4 antennas which FR-4 dielectric material was used. The designed antennas are used as access points and they are connected with a fiber connection. The electromagnetic field radiation of the antennas placed in the cabin was simulated with the HFSS simulation program. As a result of the simulations, these antennas have been observed to be useful.

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Section: Connections Between Access Pointsmentioning

confidence: 99%

Microstrip Patch Antenna System Design for In-Cabin Wireless Communications and Internet Services

Dündar¹,

KOYUNCU²,

OZCELIK³

2021

EPSTEM

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“…However, all of the works simply implement the AP deployment based on a fixed value of distance (similar to Simple Modeling of GC-DPS-MOPSO), and none involves wave propagation and penetration in indoor environments. In [28,29], schemes of AP deployment are studied and discussed under more complex conditions, but the focus between their work and ours is different. To be specific, the research in [28] focuses on avionics equipment.…”

Section: Ap Selectionmentioning

confidence: 99%

“…In [28,29], schemes of AP deployment are studied and discussed under more complex conditions, but the focus between their work and ours is different. To be specific, the research in [28] focuses on avionics equipment. Reference [29] studies mobility model of end users, and their AP deployment algorithm is based on the topology of mobility graphs.…”

Section: Ap Selectionmentioning

confidence: 99%

Green Clustering Implementation Based on DPS-MOPSO

Yang

Tan

et al. 2014

Mathematical Problems in Engineering

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A green clustering implementation is proposed to be as the first method in the framework of an energy-efficient strategy for centralized enterprise high-density WLANs. Traditionally, to maintain the network coverage, all of the APs within the WLAN have to be powered on. Nevertheless, the new algorithm can power off a large proportion of APs while the coverage is maintained as the always-on counterpart. The proposed algorithm is composed of two parallel and concurrent procedures, which are the faster procedure based onK-means and the more accurate procedure based on Dynamic Population Size Multiple Objective Particle Swarm Optimization (DPS-MOPSO). To implement green clustering efficiently and accurately, dynamic population size and mutational operators are introduced as complements for the classical MOPSO. In addition to the function of AP selection, the new green clustering algorithm has another new function as the reference and guidance for AP deployment. This paper also presents simulations in scenarios modeled with ray-tracing method and FDTD technique, and the results show that about 67% up to 90% of energy consumption can be saved while the original network coverage is maintained during periods when few users are online or when the traffic load is low.

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“…In this study, downlink power is controlled by using the Foschini-Miljanic algorithm [7] and frequency resources are shared between users according to the proportional fair (PF) principle [8]. In addition to that, in [9], received EM field strength for different number of access point (AP) deployments in a Boeing B737 aircraft is investigated. According to [9], 2 APs deployed, located 5 meters away from the center of the cabin in opposite directions, has reasonable field strength.…”

Section: Introductionmentioning

confidence: 99%

“…In addition to that, in [9], received EM field strength for different number of access point (AP) deployments in a Boeing B737 aircraft is investigated. According to [9], 2 APs deployed, located 5 meters away from the center of the cabin in opposite directions, has reasonable field strength. Therefore, the aircraft cabin is covered by two eNBs and each eNB has two sectors.…”

Section: Introductionmentioning

confidence: 99%

Performance optimization of aircraft in-cabin LTE deployment using Taguchi's Method

Cogalan

Videv

Haas

2015

2015 IEEE International Conference on Communications (ICC)

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The performance of a multi-cell, multi-user Long Term Evolution (LTE) deployment in a medium-sized aircraft cabin is studied. Due to the structure and construction materials of the aircraft, channel propagation behaviour is different from conventional indoor channel models. Also, depending on the seating plan of the aircraft, user density is higher than other indoor environments. Thus, firstly, a proper channel model is adapted for an aircraft, and then the deployed LTE system is optimized using Taguchi's Method (TM). TM is a recently used optimization method for electromagnetic (EM) problems and for the optimization of communication networks. The results show that multi-cell, multi-user LTE deployment can achieve 4.33Mbps average user data rate and 676 Mbps total system data rate with two evolved NodeBs (eNBs) deployed. IEEE ICC 2015 -Mobile and Wireless Networking Symposium 978-1-4673-6432-4/15/$31.00 ©2015 IEEE

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Multiple Access Points Deployment Optimization in Cabin Wireless Communications

Cited by 8 publications

References 8 publications

Microstrip Patch Antenna System Design for In-Cabin Wireless Communications and Internet Services

Microstrip Patch Antenna System Design for In-Cabin Wireless Communications and Internet Services

Green Clustering Implementation Based on DPS-MOPSO

Performance optimization of aircraft in-cabin LTE deployment using Taguchi's Method

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