Design of low-cost multimode fiber-fed indoor wireless networks

Das, Anjali; Nkansah, Anthony; Gomes, Nathan J.; Garcia, I.J.; Batchelor, John C.; Wake, D.

doi:10.1109/tmtt.2006.877835

Cited by 73 publications

(45 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Some of them focus on decreasing cost by using low-cost components of wireless networks [12,13], by increasing utilization of equipment [14], or by decreasing energy consumption [15,16]. However, the complexity of the cost aspect has always been underestimated, e.g., in [17][18][19], the number of APs has been used to represent the network planning cost.…”

Section: Related Workmentioning

confidence: 99%

Wireless indoor network planning for advanced exposure and installation cost minimization

Liu

David

Vanhecke

et al. 2015

J Wireless Com Network

View full text Add to dashboard Cite

The possibility of having information access anytime and anywhere has caused a huge increase of the popularity of wireless networks. Requirements of users and owners have been ever-increasing. However, concerns about the potential health impact of exposure to radio frequency (RF) sources have arisen and are getting accounted for in wireless network planning. In addition to adequate coverage and reduced human exposure, the installation cost of the wireless network is also an important criterion in the planning process. In this paper, a hybrid algorithm is used to optimize indoor wireless network planning while satisfying three demands: maximum coverage, minimal full installation cost (cabling, cable gutters, drilling holes, labor, etc.), and minimal human exposure. For the first time, wireless indoor networks are being optimized based on these advanced and realistic conditions. The algorithm is investigated for three scenarios and for different configurations. The impact of different exposure requirements and cost scenarios is assessed.

show abstract

Section: Related Workmentioning

confidence: 99%

Wireless indoor network planning for advanced exposure and installation cost minimization

Liu

David

Vanhecke

et al. 2015

J Wireless Com Network

View full text Add to dashboard Cite

show abstract

“…UWB technology has gained huge interest globally due to its potential to deliver high data rate and spatial capacity, with multipath immunity (Das et al, 2006;Way, 1989) and low power, low cost design. The deployment of this wireless technology in vehicles will provide www.intechopen.com mobility and connectivity to a host of passenger devices while reducing significantly the costs associated with wiring.…”

Section: In-vehicle Communication Systemmentioning

confidence: 99%

A Telematics System Using In-Vehicle UWB Communications

Zuazola¹,

Elmirghani²,

Batchelor³

2011

Novel Applications of the UWB Technologies

Self Cite

View full text Add to dashboard Cite

“…In a RoF system setup, the analog signal is modulated onto a laser diode and transmitted via optical fiber to a photodiode receiver thereafter; the signal is amplified for wireless transmission. Using RoF links in DAS has key advantages, such as simple configuration and low loss of optical fiber to improve signal transmission, and when using simple direct modulated laser and direct detection photodiode (PD), the infrastructure cost can be reduced [9]. The RAUs are merely a distributed set of antennas, with little or no processing capability, that exchange radio frequency (RF) signals with the CU where all the signal processing such as modulation, demodulation, multiplexing, de-multiplexing, handover, diversity and protocol transformations are carried out [10].…”

Section: Introductionmentioning

confidence: 99%

Capacity and Error Performance Verification of Multi-Antenna Schemes in Radio-Over-Fiber Distributed Antenna System

Aighobahi

Gomes

2016

J. Lightwave Technol.

View full text Add to dashboard Cite

A radio-over-fiber distributed antenna system permits larger physical separation between antennas in a wireless system's infrastructure; this investigation verifies that improved performance -lower error rates and higher capacities -can thus be achieved. In this paper, specific single-input multiple-output (SIMO), multiple-input single-output (MISO) and multiple-input multiple-output (MIMO) algorithms are compared in an experimental radio over fiber system, using user-defined processing functions for the signals. It is shown that significantly reduced symbol error rate (SER) and modestly increased capacity is achieved for a wireless 1x2 SIMO uplink using the maximal ratio combining (MRC) processing algorithm and 2x1 MISO downlink using the Alamouti space time block coding (STBC) scheme. Further, SER is reduced for a downlink 2x2 wireless MIMO using the zero-forcing algorithm while, most importantly, greatly increased capacity is achieved through the spatial multiplexing gain.

show abstract

Design of low-cost multimode fiber-fed indoor wireless networks

Cited by 73 publications

References 11 publications

Wireless indoor network planning for advanced exposure and installation cost minimization

Wireless indoor network planning for advanced exposure and installation cost minimization

A Telematics System Using In-Vehicle UWB Communications

Capacity and Error Performance Verification of Multi-Antenna Schemes in Radio-Over-Fiber Distributed Antenna System

Contact Info

Product

Resources

About