Design and Implementation of an Underlay Control Channel for Cognitive Radios

Wasden, Daryl Leon; Moradi, Hussein; Farhang‐Boroujeny, Behrouz

doi:10.1109/jsac.2012.121104

Cited by 41 publications

(18 citation statements)

References 31 publications

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“…Current literature pertaining to FBMC-SS utilizes the output of the matched filter for packet detection and timing acquisition only. The task of information recovery is then performed via an AFB, as noted above, a maximum ratio combiner (MRC), [6], and possibly a RAKE receiver [13].…”

Section: Normalized Matched Filtermentioning

confidence: 99%

“…More recently, our team has revisited filter bank multicarrier spread spectrum (FBMC-SS) systems and explored their implementation details, [6]. In this implementation, each data packet comes with a known preamble which is used to extract the relevant channel state information (CSI), including the interference level at different subcarrier bands.…”

Section: Introductionmentioning

confidence: 99%

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Spread Spectrum Symbol Detection With Blind Interference Suppression in FBMC-SS

Haab

Moradi

Farhang‐Boroujeny

2021

IEEE Open J. Commun. Soc.

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Recent works have demonstrated Filter Bank Multicarrier Spread Spectrum (FBMC-SS) to be a robust communication scheme in the presence of high-power interferers. Existing FBMC-SS symbol detector designs based on analysis filter banks (AFB) suggest using an optimal combining scheme to suppress the interferers, necessitating some noise/interference power estimation method. In this paper, we introduce a symbol detector with blind interference suppression by extending a recently developed packet detection method. We then provide an analysis to show that the existing AFB-based symbol detector and the one proposed in this paper are equivalent in typical usage scenarios. A fully-fledged receiver design is proposed utilizing this symbol detector, with specifics presented for estimation of the channel impulse response and carrier frequency offset (CFO). We also outline a method of iterating upon the channel and CFO estimations to improve the quality of both parameters. Moreover, a modification to allow improved performance of the symbol detector at high SNR is provided. Finally, simulated performance results are presented to corroborate these findings and demonstrate the efficiency of this receiver design.

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Section: Normalized Matched Filtermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Spread Spectrum Symbol Detection With Blind Interference Suppression in FBMC-SS

Haab

Moradi

Farhang‐Boroujeny

2021

IEEE Open J. Commun. Soc.

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“…For example, consider the case where the four terminals are located in an area where a large number of cells have been deployed by different operators for the local coverage enhancement of a potentially crowded zone interested in opportunistic multimedia downloads at low cost. Each relay is provided of a proper backhaul connection and cooperates with the other relays (and with the terminals) by means of a control channel, designed in dedicated, common, or underlay fashion [25]. The cooperation is aimed at determining according to an optimization procedure (e.g., that proposed in [26]), the subcarriers available for the transmission of each active terminal, and its transmitted power (to be minimized).…”

Section: Performance Comparison Of the Two Structuresmentioning

confidence: 99%

Analysis of an FBMC/OQAM scheme for asynchronous access in wireless communications

Mattera

Tanda

Bellanger

2015

EURASIP J. Adv. Signal Process.

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The OFDM/OQAM transceiver belongs to the filter-bank-based multicarrier (FBMC) family and, unlike OFDM schemes, it is particularly able to meet the requirements of the physical layer of cognitive radio networks such as high level of adjacent channel leakage ratio and asynchronous communications. The paper proposes and analyzes a new implementation structure, named frequency spreading, for the OFDM/OQAM transceiver. On flat channels, it is equivalent to the standard one in terms of input-output relations, though more complex. On multipath channels, it offers a crucial advantage in terms of equalization, which is performed in the frequency domain, leading to high performance and no additional delay. With its flexibility and level of performance, the analyzed scheme has the potential to outperform OFDM in the asynchronous access context and in cognitive radio networks.

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“…Out-of-band designs call for a dedicated narrowband channel that is used to transmit the control signals [5], [8], while in-band designs typically involve a UCC spanning the full bandwidth [6], [7], [12]. While a dedicated narrowband control channel is straightforward to implement and provides higher reliability, setting aside a dedicated narrowband chunk of spectrum may not always be feasible, or sometimes even unnecessary.…”

Section: Introductionmentioning

confidence: 99%

“…While a dedicated narrowband control channel is straightforward to implement and provides higher reliability, setting aside a dedicated narrowband chunk of spectrum may not always be feasible, or sometimes even unnecessary. In-band designs typically propose to use spread spectrum techniques to implement a low-power UCC spanning the entire bandwidth with or without considerations for the primary transmissions [6], [7]. Although such a design is exposed to the primary and secondary transmissions, it involves no spectrum overhead and is well-suited for a low-data-rate communication channel.…”

Section: Introductionmentioning

confidence: 99%

Design and implementation of an underlay control channel for NC-OFDM-based networks

Kumbhkar

Sridharan

Mandayam

et al. 2016

2016 Annual Conference on Information Science and Systems (CISS)

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This paper designs an underlay control channel for noncontiguous-OFDM-based cognitive networks. Noncontiguous OFDM (NC-OFDM) provides a fast and flexible manner of accessing disjoint parts of the spectrum and is ideally suited for dynamic spectrum access. While similar to OFDM, NC-OFDM explicitly restricts transmission to only certain subcarriers that are free of incumbent transmissions. In particular, this paper considers designing a control channel for a cognitive network consisting of multiple point-to-point (p2p) links that operate over a wide bandwidth that might encompass some primary transmissions. In such a scenario, control channel becomes vital not only to share basic transmission parameters but also to aid timing and frequency recovery of NC-OFDM transmission; a nontrivial problem in itself. The proposed design is a low-power underlay transmission that spans the entire bandwidth regardless of any incumbent transmissions and uses direct sequence spread spectrum (DSSS). The control channel operates in one of two modes. The first mode aids timing and frequency recovery through a two-step process, while the second mode is used for control data transmission. To enable multiple access, the p2p links use orthogonal pseudo-noise (PN) sequences. The proposed control channel is implemented on USRPs in the ORBIT testbed using GNU Radio. Experimental results suggest robust timing and frequency offset recovery even in the presence of concurrent primary transmissions and support for about 10 to 20kbps over a 1 MHz bandwidth at an uncoded symbol-error-rate of about 10 −2 under typical operating conditions.

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Design and Implementation of an Underlay Control Channel for Cognitive Radios

Cited by 41 publications

References 31 publications

Spread Spectrum Symbol Detection With Blind Interference Suppression in FBMC-SS

Spread Spectrum Symbol Detection With Blind Interference Suppression in FBMC-SS

Analysis of an FBMC/OQAM scheme for asynchronous access in wireless communications

Design and implementation of an underlay control channel for NC-OFDM-based networks

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