Joint wavelet‐based spectrum sensing and FBMC modulation for cognitive mmWave small cell networks

Hosseini, Haleh; Anpalagan, Alagan; Raahemifar, Kaamran; Erkucuk, Serhat; Habib, Salman

doi:10.1049/iet-com.2016.0128

Cited by 23 publications

(21 citation statements)

References 27 publications

(30 reference statements)

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“…Moreover, interference avoidance can be obtained, as previously discussed in section "Solutions Based on Local Spectrum Sensing", by adopting 4G SS indicators [28] and estimating the density of nearby Wi-Fi transmissions [60]. Coexistence at the 60 GHz mm-wave has been recently investigated in [61], where wavelet transform-based SS and filter bank multicarrier modulation techniques have been proposed to increase the small cell tier throughput.…”

Section: Hetnets Vs Wi-fi: Inter-ni Mitigationmentioning

confidence: 99%

Non-cooperative and Cooperative Spectrum Sensing in 5G Cognitive Networks

Caso¹,

Le²,

Nardis³

et al. 2019

Handbook of Cognitive Radio

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5G is the expected next step of the mobile cellular network evolution, and it is considered as the answer to the ongoing huge increase of cellular users and services. The architecture envisioned for 5G includes a large number of different network entities and systems that share a common spectrum resource via a dynamic spectrum access (DSA) approach. This solution is expected to significantly increase the overall spectrum efficiency but also introduces the challenge of optimizing the coexistence between the entities forming the overall network, by limiting their mutual interference. Within this context, the cognitive radio (CR) paradigm, mainly focusing on its peculiar function, that is, spectrum sensing (SS), is being currently proposed as one of the main enablers for efficient DSA with limited interference. The goal of this chapter is to provide a comparative analysis on CR-inspired spectrum resource management (CR-SRM) mechanisms recently proposed for the 5G architecture, which mainly exploit SS, in order to characterize up-to-date research trends on the topic and highlight stillopen challenges and possible future work directions.

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Section: Hetnets Vs Wi-fi: Inter-ni Mitigationmentioning

confidence: 99%

Non-cooperative and Cooperative Spectrum Sensing in 5G Cognitive Networks

Caso¹,

Le²,

Nardis³

et al. 2019

Handbook of Cognitive Radio

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“…Adoption of FBMC was seen in the work of Hosseini et al [49], Jamal [50], Mestre [51], Na et al [52], Rottenberg et al [53], and Sim et al [54]. All these works have addressed the problems of spectral leakage in millimeter wave, mitigate interference in communication between air and ground, inter-carrier interference, frequency selectivity, etc.…”

Section: Fbmc Waveform Synthesismentioning

confidence: 99%

Studying Applicability Feasibility of OFDM in Upcoming 5G Network

K.P¹,

N²

2017

ijacsa

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Abstract-Orthogonalfrequency-division multiplexing (OFDM) is one of unbeatable multiplexing technique till date. However with increasing version of next generation mobile standards like 5G, the applicability of OFDM is quite questionable. The prime reason behind this is in order to offer higher data rates and extensive networking services in 5G, OFDM will be required to overcome some inherent problems of spectral leakage, power consumption, less supportability of increased channel capacity. The reason community still believes that there is positive scope of OFDM to be applicable in 5G network provided it undergoes certain changes. This paper reviews some of the complimentary waveforms that have been theoretically proven to be adding edge to OFDM system. The paper reviews different waveforms as well as multiple access techniques to be used in designing 5G technology and assess their effectiveness in viewpoint of research applicability and effectiveness towards leveraging 5G.

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“…On the other hand, recent years have witnessed the research advancement in the field of cognitive mmWave networks, most of which are developing various technologies to minimize the mutual interference between other operating networks and cognitive users [34]- [36]. In addition, there are also literatures to study the secrecy performance of cognitive mmWave networks from the perspective of security.…”

Section: Introductionmentioning

confidence: 99%

An Analysis on Secure Millimeter Wave NOMA Communications in Cognitive Radio Networks

et al. 2020

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In this paper, an easy analysis framework is developed to evaluate the reliability and security of the secondary receivers (SU-Rxs) in millimeter wave (mmWave) non-orthogonal multiple access (NOMA) aided cognitive radio (CR) networks, where secondary transmitters (SU-Txs) transmit confidential messages to SU-Rxs belonging to different regions under the interference temperature constraint of the primary receiver (PU-Rx). Considering that randomly located eavesdroppers and primary user may be in the signal beam emitted by the SU-Txs, information leakage and interference to the primary network will be inevitable issues. Motivated by these challenges, combining the key features of multi-cell mmWave networks and NOMA communications, the closed-form expressions of three key performance metrics of connection outage probability (COP), secrecy outage probability (SOP), and secrecy throughput (ST) are derived by using the sector eavesdropper-exclusion zone, and the reliability and secrecy performance of the secondary networks are measured by different system parameters. The obtained performance evaluation results have demonstrated that the interference temperature constraint of the PU-Rx can be used to balance the security and reliability of the secondary networks. The reliability and security of paired NOMA users can be improved by using reasonable power allocation factor and sector eavesdropper-exclusion zone. Meanwhile, the connection performance of paired NOMA users is better than orthogonal multiple access (OMA). Furthermore, various system parameters can be reasonably set in conjunction with blockage and inter-cell interference to achieve optimal network's performance. INDEX TERMS Non-orthogonal multiple access (NOMA), millimeter wave (mmWave), cognitive radio (CR), stochastic geometry.

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Joint wavelet‐based spectrum sensing and FBMC modulation for cognitive mmWave small cell networks

Cited by 23 publications

References 27 publications

Non-cooperative and Cooperative Spectrum Sensing in 5G Cognitive Networks

Non-cooperative and Cooperative Spectrum Sensing in 5G Cognitive Networks

Studying Applicability Feasibility of OFDM in Upcoming 5G Network

An Analysis on Secure Millimeter Wave NOMA Communications in Cognitive Radio Networks

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