Reconfigurable nonuniform transmultiplexers based on uniform filter banks

Eghbali, Amir; Johansson, Håkan; Lowenborg, P.

doi:10.1109/iscas.2010.5537067

Cited by 8 publications

(4 citation statements)

References 12 publications

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“…Any of the TMUXs, in the references Eghbali et al (2007a;2008a;2009b;2010); Eghbali, Johansson & Löwenborg (2011a;, can be used here. The TMUX, in Eghbali et al (2010);Eghbali, Johansson & Löwenborg (2011b), has a rather different structure.…”

Section: Structure Of the Tmuxmentioning

confidence: 99%

“…The TMUX, in Eghbali et al (2010);Eghbali, Johansson & Löwenborg (2011b), has a rather different structure. Instead of variable lowpass filters and frequency shifters as, in Eghbali et al (2007a;2008a;2009b); Eghbali, Johansson & Löwenborg (2011a), it performs bandpass rational SRC using flexible commutators and fixed bandpass filters.…”

Section: Structure Of the Tmuxmentioning

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: Structure Of the Tmuxmentioning

confidence: 99%

Section: Structure Of the Tmuxmentioning

confidence: 99%

Reconfigurable Multirate Systems in Cognitive Radios

Eghbali¹,

Johansson²

2012

Foundation of Cognitive Radio Systems

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“…Any of the TMUXs, in the references Eghbali et al (2007a;b;; Eghbali, Johansson & Löwenborg (2011a;b), can be used here. The TMUX, in Eghbali et al (2010);Eghbali, Johansson & Löwenborg (2011b), has a rather different structure. Instead of variable lowpass filters and frequency shifters as, in Eghbali et al (2007a;b;Eghbali, Johansson & Löwenborg (2011a), it performs bandpass rational SRC using flexible commutators and fixed bandpass filters.…”

Section: Structure Of the Tmuxmentioning

confidence: 99%

Foundation of Cognitive Radio Systems

Cheng¹

2012

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Chapter 6, the second chapter of this part, the authors look into the possibility of improving spectrum sensing performance by exploiting multiuser diversity. They also describe a practical MAC protocol to coordinate transmissions between SU and a fusion center that handles fusion of sensing information.The remaining two parts deal with the aspects of spectrum management. Part 3 includes chapters that layout the foundation of interference management. Chapter 7, the first chapter of Part 3, introduces partial response signaling as a tool for spectrum shaping in cognitive radio. It addresses the potential weakness of having large out-ofband spectrum components in conventional OFDM based systems. In Chapter 8, the second chapter of Part 3, the authors discuss the structure, reconfiguration, and the parameter selection when adopting the dynamic frequency-band allocation (DFBA) and and dynamic frequency-band reallocation (DFBR) for cognitive radios. They also demonstrate how the reconfigurability can be achieved either by a channel switch or by variable multipliers/commutators. In Chapter 9, the third chapter of Part 3, the authors present detail theoretical analysis of opportunistic spectrum access using continuous-time Markov chains. In particular, they explain how SU may be forced to terminate under different traffic scenarios.The last part of this book includes chapters that focus more on the interaction among multiple SU, which naturally leads to the problem of resource allocation. Chapter 10, the first chapter of Part 4, considers different system models in which SUs compete for a chance to transmit simultaneously or orthogonally with the PU. On the basis of these models, the chapter also offers insights into how to design such scenario in a cognitive radio network environments. Chapter 11, the second chapter of Part 4, focuses on the issue of how to implement interference mitigation by power control techniques amongst multiple cognitive radios in the light of game theory. In Chapter 12, the third chapter of Part 4, the authors design a joint PHY layer cooperative spectrum sensing and MAC layer resource scheduling scheme. They also formulate the joint design as a non-convex optimization problem and derive the asymptotic optimum solution based on recent advances in duality optimization theory. The last chapter of this book is rather different from the rest but is equally important. The author presents a summary of standards activities related to cognitive radio systems and dynamic spectrum access systems.

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“…In this paper, we propose a novel analysis channelizer for SWR receiver [13,[14][15][16][17]18]. Following the analog-todigital converter, it simultaneously down converts multiple signals with arbitrary bandwidth and randomly located center frequencies avoiding the need of replicating the DDS.…”

Section: Introductionmentioning

confidence: 99%

Polyphase analysis filter bank down-converts unequal channel bandwidths with arbitrary center frequencies

Harris

Venosa

Chen

et al. 2011

Analog Integr Circ Sig Process

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A cognitive radio (CR) receiver should be able to filter and simultaneously down convert multiple signals having arbitrary bandwidths and randomly located center frequencies. In this paper we present an efficient structure, based on polyphase filter banks, for CR receivers. Its core, an analysis channelizer, is a variant of the standard M-path polyphase down converter channelizer. It is able to perform M/2-to-1 down sampling of the input time series while it shifts, by aliasing, all the M channels to base-band. A perfect reconstruction (PR) filter is selected as low-pass prototype for avoiding energy losses during the signal processing. A post analysis block is designed for extracting, when necessary, from the base-band aliased channels, the spectra, or their fragments, belonging to different signals. A selector commutes the output ports of the post analysis block that contain spectral fragments of the same bandwidths and properly delivers them to the up converter synthesis channelizers that reassemble them. The synthesis channelizers are P n -path polyphase up converter modified for performing 1-to-P n /2 up sampling of the input time series. Complex frequency rotators, placed at the output of the synthesizers, compensate the frequency offsets, applied in the transmitter, that are responsible for the arbitrary center frequency positioning of the received signals. At the end of the receiver chain, arbitrary interpolators resample the base-band centered signals to obtain two samples per symbol needed for the further processing stages.

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Reconfigurable nonuniform transmultiplexers based on uniform filter banks

Cited by 8 publications

References 12 publications

Reconfigurable Multirate Systems in Cognitive Radios

Reconfigurable Multirate Systems in Cognitive Radios

Foundation of Cognitive Radio Systems

Polyphase analysis filter bank down-converts unequal channel bandwidths with arbitrary center frequencies

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