Design concept and methodology for the future Advanced Wideband Satellite system

Nguyen, Tien M.; Hant, J.; Taggart, David A.; Tsang, Chit-Sang; Johnson, D.M.; Chuang, Jo-Chieh

doi:10.1109/milcom.2002.1180438

Cited by 7 publications

(8 citation statements)

References 1 publication

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“…Overlay approach for spectrum sharing. Johansson & Löwenborg (2005;; Lippolis et al (2004); Lucente et al (2008); Nguyen et al (2002); Re & Pierucci (2002); Rosenbaum et al (2006); Wittig (2000).…”

Section: Primary User Overlay Transmissionmentioning

confidence: 99%

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Reconfigurable Multirate Systems in Cognitive Radios

Eghbali¹,

Johansson²

2012

Foundation of Cognitive Radio Systems

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Section: Primary User Overlay Transmissionmentioning

confidence: 99%

“…This main station then finds available frequency slots and reallocates each user to one of them. Such a main station is similar to a bentpipe satellite payload, as outlined in Nguyen et al (2002), with its idea of operation shown in Fig. 10.…”

Section: Approach I: Use Of Dfbr Networkmentioning

confidence: 99%

Reconfigurable Multirate Systems in Cognitive Radios

Eghbali¹,

Johansson²

2012

Foundation of Cognitive Radio Systems

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“…Generally, there are four types of on-board processing architectures (or payloads), namely, bentpipe, full processing, partial processing, and hybrid [23]. This paper focuses on the application of filter banks (FBs) for bentpipe payloads.…”

Section: Contribution Of the Paper And Relation To Previous Workmentioning

confidence: 99%

Flexible Frequency-Band Reallocation: Complex Versus Real

Eghbali

Johansson

Lowenborg

2009

Circuits Syst Signal Process

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This paper discusses a new approach for implementing flexible frequencyband reallocation (FFBR) networks for bentpipe satellite payloads which are based on variable oversampled complex-modulated filter banks (FBs). We consider two alternatives to process real signals using real input/output and complex input/output FFBR networks (or simply real and complex FFBR networks, respectively). It is shown that the real case has a lower overall number of processing units, i.e., adders and multipliers, compared to its complex counterpart. In addition, the real system eliminates the need for two Hilbert transformers, further reducing the arithmetic complexity. An analysis of the computational workload shows that the real case has a smaller rate of increase in the arithmetic complexity with respect to the prototype filter order and number of FB channels. This makes the real case suitable for systems with a large number of users. Furthermore, in the complex case, a high efficiency in FBR comes at the expense of high-order Hilbert transformers; thus, trade-offs are necessary. Finally, the performance of the two alternatives based on the error vector magnitude (EVM) for a 16-quadrature amplitude modulation (QAM) signal is presented.

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“…For this purpose, the European space agency (ESA) has proposed three major network structures for broadband satellite-based communication systems [11] in which satellites communicate with users through multiple spot beams. This requires an efficient use of the limited available frequency spectrum by satellite onboard signal processing [8][9][10][12][13][14]. Although these two perspectives arise from different needs, both try to make an efficient use of the limited available frequency spectrum.…”

Section: Introductionmentioning

confidence: 99%

“…We only consider the operations related to changing the center frequency and bandwidth of user signals. Similar to bent-pipe satellite payloads [12], these do not require any modulation/ demodulation, coding/decoding, etc.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Frequency-Band Reallocation and Allocation: from Satellite-Based Communication Systems to Cognitive Radios

Eghbali

Johansson

Lowenborg

et al. 2009

J Sign Process Syst

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This paper discusses two approaches for the baseband processing part of cognitive radios. These approaches can be used depending on the availability of (i) a composite signal comprising several user signals or, (ii) the individual user signals. The aim is to introduce solutions which can support different bandwidths and center frequencies for a large set of users and at the cost of simple modifications on the same hardware platform. Such structures have previously been used for satellitebased communication systems and the paper aims to outline their possible applications in the context of cognitive radios. For this purpose, dynamic frequencyband allocation (DFBA) and reallocation (DFBR) structures based on multirate building blocks are introduced and their reconfigurability issues with respect to the required reconfigurability measures in cognitive radios are discussed.

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Design concept and methodology for the future Advanced Wideband Satellite system

Cited by 7 publications

References 1 publication

Reconfigurable Multirate Systems in Cognitive Radios

Reconfigurable Multirate Systems in Cognitive Radios

Flexible Frequency-Band Reallocation: Complex Versus Real

Dynamic Frequency-Band Reallocation and Allocation: from Satellite-Based Communication Systems to Cognitive Radios

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