Performance Metrics, Sampling Schemes, and Detection Algorithms for Wideband Spectrum Sensing

Sun, Zhuowen; Laneman, J. Nicholas

doi:10.1109/tsp.2014.2332979

Cited by 38 publications

(19 citation statements)

References 25 publications

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“…Each block, G i , is a set of n i contiguous bands. Like previous works [30], the state of each band i, H i , is modelled as H i ∼ Bernoulli(p i ) with parameter p i ∈ [0, 1] (p i is the probability that band i is occupied by a PU ). Assuming that the bands' occupancies within a block are independent from one another, then the average number of occupied bands isk j = i∈Gj p i for j = 1, ..., g.…”

Section: A Wideband Occupancy Modelmentioning

confidence: 99%

Efficient Spectrum Availability Information Recovery for Wideband DSA Networks: A Weighted Compressive Sampling Approach

Khalfi

Hamdaoui

Guizani

2018

IEEE Trans. Wireless Commun.

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Compressive sampling has great potential for making wideband spectrum sensing possible at sub-Nyquist sampling rates. As a result, there have recently been research efforts that leverage compressive sampling to enable efficient wideband spectrum sensing. These efforts consider homogenous wideband spectrum, where all bands are assumed to have similar PU traffic characteristics. In practice, however, wideband spectrum is not homogeneous, in that different spectrum bands could present different PU occupancy patterns. In fact, the nature of spectrum assignment, in which applications of similar types are often assigned bands within the same block, dictates that wideband spectrum is indeed heterogeneous. In this paper, we consider heterogeneous wideband spectrum, and exploit its inherent, blocklike structure to design efficient compressive spectrum sensing techniques that are well suited for heterogeneous wideband spectrum. We propose a weighted ℓ1−minimization sensing information recovery algorithm that achieves more stable recovery than that achieved by existing approaches while accounting for the variations of spectrum occupancy across both the time and frequency dimensions. In addition, we show that our proposed algorithm requires a lesser number of sensing measurements when compared to the state-of-the-art approaches.Index Terms-Wideband spectrum sensing; compressive sampling; heterogeneous wideband spectrum occupancy.

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Section: A Wideband Occupancy Modelmentioning

confidence: 99%

Efficient Spectrum Availability Information Recovery for Wideband DSA Networks: A Weighted Compressive Sampling Approach

Khalfi

Hamdaoui

Guizani

2018

IEEE Trans. Wireless Commun.

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“…Concern on a certain QoS objective, such as [8,14,21]; (b) Describing the technical development in one CRNs component, as in [1,[28][29][30][31][32]; (c) Extensively explaining a function of a CRN component, as in [17,[33][34][35][36][37][38][39][40][41][42][43]; (d) Investigating various security challenges, as in [44][45][46]; and (e) Presenting the latest developments in a CR based application, as in [15,[18][19][20]47].…”

Section: Related Workmentioning

confidence: 99%

“… Cooperative wideband sensing: In cooperative wideband sensing, SU should be capable of reporting the detected status of each band to FC [40].…”

Section: Nyquist Wideband Sensingmentioning

confidence: 99%

Comprehensive Survey on Quality of Service Provisioning Approaches in Cognitive Radio Networks: Part One

Fakhrudeen

Alani

2017

Int J Wireless Inf Networks

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Much interest in Cognitive Radio Networks (CRNs) has been raised recently by enabling unlicensed (secondary) users to utilize the unused portions of the licensed spectrum. CRN utilization of residual spectrum bands of Primary (licensed) Networks (PNs) must avoid harmful interference to the users of PNs and other overlapping CRNs. The coexisting of CRNs depends on four components: Spectrum Sensing, Spectrum Decision, Spectrum Sharing, and Spectrum Mobility. Various approaches have been proposed to improve Quality of Service (QoS) provisioning in CRNs within fluctuating spectrum availability. However, CRN implementation poses many technical challenges due to sporadic usage of licensed spectrum bands, which will be increased after deploying CRNs. Unlike traditional surveys of CRNs, this paper addresses QoS provisioning approaches of CRN components and provides an up-to-date comprehensive survey of recent improvement in these approaches. Major features of the open research challenges of each approach are investigated. Due to the extensive nature of the topic, this paper is the first part of the survey which investigates QoS approaches on spectrum sensing and decision components respectively. The remaining approaches of spectrum sharing and mobility components will be investigated in the next part.

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“…Energy detection, matched filter detection, and feature detection are typical methods for single-band spectrum sensing [17]. Wideband spectrum sensing algorithms have also proposed to allow opportunistic access in wideband spectrum [13].…”

Section: Introductionmentioning

confidence: 99%

Wideband distributed spectrum sharing with multichannel immediate multiple access

Cai

Laneman

2017

Analog Integr Circ Sig Process

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This paper describes a radio architecture for distributed spectrum sharing of multiple channels among secondary users (SUs) in a wide band of frequencies and a localized area. A novel Multichannel Immediate Multiple Access (MIMA) physical layer is developed such that each SU can monitor all the channels simultaneously for incoming signals and achieve fast rendezvous within the multiple channels. The spectrum utilized by an SU pair can be changed dynamically based upon spectrum sensing at the transmitter and tracking synchronization and control messages at the receiver. Although information about the number of active SUs can be used to improve the spectrum sharing efficiency, the improvement is small relative to the cost of obtaining such information. Therefore, the architecture adopts Multichannel Carrier Sense Multiple Access (CSMA) for medium access control regardless of the number of active SUs. A prototype implementation of the architecture has been developed using an advanced software defined radio (SDR) platform. System tests demonstrate that the spectrum sharing efficiency of the prototype is close to an upper bound if the signal-to-noise ratio (SNR) is sufficiently high. Among other practical issues, imaged interference caused by hardware IQ imbalance limits system performance. In the prototype, the MIMA is based on an LTE waveform. Therefore, the spectrum sharing radio can be potentially applied to the 3.5 GHz radar band for Citizens Broadband Radio Service (CBRS).

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Performance Metrics, Sampling Schemes, and Detection Algorithms for Wideband Spectrum Sensing

Cited by 38 publications

References 25 publications

Efficient Spectrum Availability Information Recovery for Wideband DSA Networks: A Weighted Compressive Sampling Approach

Efficient Spectrum Availability Information Recovery for Wideband DSA Networks: A Weighted Compressive Sampling Approach

Comprehensive Survey on Quality of Service Provisioning Approaches in Cognitive Radio Networks: Part One

Wideband distributed spectrum sharing with multichannel immediate multiple access

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