Cooperative Spectrum Sensing in OFDM Based on MIMO Cognitive Radio Sensor Networks

Ma, Wei; Hu, Sen; Wang, Yan Cong; Zhu, Long

doi:10.1109/wicom.2009.5304264

Cited by 6 publications

(4 citation statements)

References 7 publications

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“…Sensing is also used to detect the presence of incumbent users and to vacate the spectrum to avoid interfering with PU communication. Because the nodes we are considering have only single transceivers, the activity of both sending and sensing becomes very challenging, unlike in the case of multiple transceivers wherein the duties can be shared between the various radio interfaces [ 50 ]. However, the fact that the power of sensor transmission rarely affects the transmission of a PU downplays the issue somewhat.…”

Section: Routing In Crsnsmentioning

confidence: 99%

Assessing Routing Strategies for Cognitive Radio Sensor Networks

Zubair

Fisal

Baguda

et al. 2013

Sensors

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Interest in the cognitive radio sensor network (CRSN) paradigm has gradually grown among researchers. This concept seeks to fuse the benefits of dynamic spectrum access into the sensor network, making it a potential player in the next generation (NextGen) network, which is characterized by ubiquity. Notwithstanding its massive potential, little research activity has been dedicated to the network layer. By contrast, we find recent research trends focusing on the physical layer, the link layer and the transport layers. The fact that the cross-layer approach is imperative, due to the resource-constrained nature of CRSNs, can make the design of unique solutions non-trivial in this respect. This paper seeks to explore possible design opportunities with wireless sensor networks (WSNs), cognitive radio ad-hoc networks (CRAHNs) and cross-layer considerations for implementing viable CRSN routing solutions. Additionally, a detailed performance evaluation of WSN routing strategies in a cognitive radio environment is performed to expose research gaps. With this work, we intend to lay a foundation for developing CRSN routing solutions and to establish a basis for future work in this area.

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Section: Routing In Crsnsmentioning

confidence: 99%

Assessing Routing Strategies for Cognitive Radio Sensor Networks

Zubair

Fisal

Baguda

et al. 2013

Sensors

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“…CSS techniques for orthogonal frequency division multiplex (OFDM) signals already exist in literature [25,26]. The underlying idea of this work is to develop an efficient CBCSS technique for the OFDM signal environment like 3GPP LTE [27,28] and LTE-Advanced.…”

Section: Introductionmentioning

confidence: 99%

Cooperative subcarrier sensing using antenna diversity based weighted virtual sub clustering

2016

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“…CSS techniques for orthogonal frequency division multiplex (OFDM) signals already exist in literature [21,22]. The underlying idea of this work is to develop an efficient CBCSS technique for the OFDM signal environment like 3GPP LTE and LTE-Advanced [23].…”

Section: Introductionmentioning

confidence: 99%

Cluster-Based Cooperative Subcarrier Sensing Using Antenna Diversity-Based Weighted Data Fusion

2015

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Cooperative spectrum sensing (CSS) is used in cognitive radio (CR) networks to improve the spectrum sensing performance in shadow fading environments. Moreover, clustering in CR networks is used to reduce reporting time and bandwidth over-head during CSS. Thus, cluster based cooperative spectrum sensing (CBCSS) has manifested satisfactory spectrum sensing results in harsh environments under processing constraints. On the other hand, the antenna diversity of multiple input multiple output (MIMO) CR systems can be exploited to further improve the spectrum sensing performance. This paper presents the CBCSS performance in a CR network which is comprised of single as well as multiple antenna CR systems. We give theoretical analysis of CBCSS for orthogonal frequency division multiplexing (OFDM) signal sensing and propose a novel fusion scheme at the fusion center which takes into account the receiver antenna diversity of the CRs present in the network. We introduce the concept of weighted data fusion in which the sensing results of different CRs are weighted proportional to the number of receiving antennas they are equipped with. Thus, the receiver diversity is used to the advantage of improving spectrum sensing performance in a CR cluster. Simulation results show that the proposed scheme outperforms the conventional CBCSS scheme.Keywords Cognitive Radio · cooperative spectrum sensing · cluster based sensing · weighted data fusion.

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Cooperative Spectrum Sensing in OFDM Based on MIMO Cognitive Radio Sensor Networks

Cited by 6 publications

References 7 publications

Assessing Routing Strategies for Cognitive Radio Sensor Networks

Assessing Routing Strategies for Cognitive Radio Sensor Networks

Cooperative subcarrier sensing using antenna diversity based weighted virtual sub clustering

Cluster-Based Cooperative Subcarrier Sensing Using Antenna Diversity-Based Weighted Data Fusion

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