Channel Identification of Concatenated Fiber-Wireless Uplink Using Ternary Signals

Ng, Yin Hoe; Tan, Ai Hui; Chuah, Teong Chee

doi:10.1109/tvt.2011.2162012

Cited by 9 publications

(13 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For each a˜i, N s periods of the BPRS are transmitted to reduce the effect of noise via averaging, wherẽ i = 1, ..., N t . The total signal length of I-BPRS is given by [16]…”

Section: Simulation Settingmentioning

confidence: 99%

“…In this paper, N s values of 1, 10, and 100 are used, and the corresponding values of N Total BPRS are 12,369, 122,934, and 1,228,584, respectively. On the other hand, 13-level PRML sequences with c = 3 are generated from GF(13), whose periods are N TPRS = 13 3 − 1 = 2196 and the corresponding total signal length can be determined from [16]…”

Section: Simulation Settingmentioning

confidence: 99%

See 1 more Smart Citation

Iterative channel estimation for multiuser fibre‐wireless uplink exploiting semi‐correlated ternary signals

Tan

Chuah

2016

IET signal process.

Self Cite

View full text Add to dashboard Cite

A novel design of ternary signal sets is proposed for estimation of multiuser fibre-wireless (Fi-Wi) uplink channels. The design overcomes the current limitation in the maximum number of users that the system can accommodate by separating the signals in a set into subsets. The signals are uncorrelated between subsets, but correlated within subsets, thus forming a semi-correlated ternary pseudo-random signal (SC-TPRS) set. An iterative channel estimator based on the SC-TPRS scheme is then proposed for joint estimation of the Fi-Wi uplink channel. The computational complexity associated with the existing and the proposed estimators is derived and it is shown that the latter incurs substantially lower computational cost than the former. Numerical results show that despite using signals which are a few hundred times shorter, the proposed scheme can improve estimation accuracy dramatically over the existing scheme at low signal-to-noise ratios. The proposed scheme has a further advantage of allowing the designer to optimise the Fi-Wi system under the constraint of maximum permissible level of multiple access interference, since the amount of interference can be tuned by adjusting the number and size of the ternary signal subsets.

show abstract

“…For each a˜i, N s periods of the BPRS are transmitted to reduce the effect of noise via averaging, wherẽ i = 1, ..., N t . The total signal length of I-BPRS is given by [16]…”

Section: Simulation Settingmentioning

confidence: 99%

Section: Simulation Settingmentioning

confidence: 99%

Iterative channel estimation for multiuser fibre‐wireless uplink exploiting semi‐correlated ternary signals

Tan

Chuah

2016

IET signal process.

Self Cite

View full text Add to dashboard Cite

show abstract

“…In other cases, the transducer used to apply the signal may be able to handle only a few levels. Mohanty [19] suggested that for reasons of this kind ternary signals are preferable to multisine signals for identification in process control, and although binary signals have been used to identify communication channels [20], it is shown in [21] that ternary signals are also preferable in this application. Ternary signals have previously been obtained by several different methods for converting msequence field elements into signal levels [4,14,22,23], but each method creates only a very small number of signals compared with the current program.…”

Section: User Enters the Required Signal Periodmentioning

confidence: 99%

Object‐oriented creation of input signals for system identification

Barker

Tan

Godfrey

2014

IET Control Theory & Applications

Self Cite

View full text Add to dashboard Cite

This study describes how a very large number of deterministic input signals for system identification may be created by object-oriented methods. The concepts of aggregation and inheritance, combined with the properties of m-sequences, are utilised to develop two new methods for the creation of pseudorandom perturbation signals with ideal spectral properties, two, three, five or seven levels and a very wide range of periods. The available signal levels ensure that the signals are suitable for both linear and non-linear system identification and the availability of a large number of signal periods ensures that the signals are suitable for both single and multi-input system identification. The methods are described in detail and illustrated by examples, together with their implementation in the open environment of an efficient, user-friendly and freely available Matlab program which provides third-party software to complement existing Matlab Identification Toolboxes.

show abstract

“…Link scheduling is used in wireless mesh networks to guarantee interference-free transmission on the shared wireless medium. Performance of such network's uplink could also degrade significantly because of the multipath dispersion introduced by the wireless link and the nonlinear distortion caused by the radio-over-fiber (RoF) link [35]. To illustrate a bit, in optical fibers, multipath dispersion occurs in a wide core because light travelling along the axis of the core travels a shorter distance per meter of a fiber than light that repeatedly undergoes total internal reflection.…”

Section: Challenges and Future Prospects Of Researchmentioning

confidence: 99%

“…Channel equalization means the process of adjusting the balance between frequency components within an electronic signal for the network's smooth operation and better performance. There are some works like [35,36] provide layer-3 functionality and several efficient algorithms which help reduce the number of hops in a WMN. However, these algorithms cannot support the functionalities that take place at a lower level.…”

Section: Challenges and Future Prospects Of Researchmentioning

confidence: 99%

On the Issues and Challenges of Fiber-Wireless (Fi-Wi) Networks

Win

Pathan

2013

Journal of Engineering

View full text Add to dashboard Cite

The objective of this article is to present various aspects of Fiber-Wireless (Fi-Wi) networks, which is a technology of current interest of the researchers. Fiber-wireless technology, known in short as “Fi-Wi,” is a combination of optical-fiber-based network and wireless network. Fi-Wi has recently come forward as one of the emerging future network technologies yet the term is often mixed up with wireless-fidelity (Wi-Fi) technology. In fact, Wi-Fi network could be included in a Fi-Wi architecture. Due to the unfamiliarity with the term, “Fi-Wi” and similar sounding commonly known “Wi-Fi,” many students, even academics and practitioners sometimes may not be able to differentiate between these. In the recent years, a good number of works on various issues of Fi-Wi have come out, but an overall survey with the latest advancements in the area is yet to be found. Hence, in this work, we analyze various issues and challenges of implementing Fi-Wi networks in practical scenarios to allow researchers to find future directions of research and general readers to understand the issues better.

show abstract

Channel Identification of Concatenated Fiber-Wireless Uplink Using Ternary Signals

Cited by 9 publications

References 17 publications

Iterative channel estimation for multiuser fibre‐wireless uplink exploiting semi‐correlated ternary signals

Iterative channel estimation for multiuser fibre‐wireless uplink exploiting semi‐correlated ternary signals

Object‐oriented creation of input signals for system identification

On the Issues and Challenges of Fiber-Wireless (Fi-Wi) Networks

Contact Info

Product

Resources

About