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ردیف | عنوان | نوع |
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1 |
AI-Enhanced Cooperative Spectrum Sensing for Non-Orthogonal Multiple Access
سنجش طیف تعاونی تقویت شده هوش مصنوعی برای دسترسی چندگانه غیر متعامد-2020 Many state-of-the-art techniques are leveraged
to improve spectral efficiency, of which cognitive
radio and multiple access are the most promising
ones. In cognitive radio communications, spectrum
sensing is the most fundamental part, whose
accuracy has a significant impact on spectrum utilization.
Furthermore, due to the complex radio
environment, multiple-user CSS has been proposed
as a refined solution. NOMA, as an essential technique
in 5G, holds great promise in improving
spectral efficiency and carrying massive connectivity.
In this article, we propose a novel CSS framework
for NOMA to further improve the spectral
efficiency. Considering the complicated physical
layer implementations of NOMA, we introduce
an AI based solution to cooperatively sense the
spectrum with a nice accuracy rate and acceptable
complexity. Numerical results validate the effectiveness
of our proposed solution. |
مقاله انگلیسی |
2 |
Privacy-preserving aggregation for cooperative spectrum sensing
تجمیع حفظ حریم خصوصی برای سنجش طیف تعاونی-2019 Cognitive radio technology has been proposed as a promising way to alleviate spectrum scarcity. In cognitive
radio networks, cooperative spectrum sensing is an effective approach to improve spectrum-estimation accuracy.
In this approach, a fusion center (FC) outsources sensing tasks to secondary users (SUs), and aggregates sensing
reports provided by SUs to estimate spectrum availability. However, as sensing reports are highly correlated to
SUs’ real locations, revealing sensing reports to an untrusted FC may incur a serious privacy threat for SUs. In this
paper, we propose an efficient scheme that allows the FC to learn desired statistics from a group of SUs without
compromising individual privacy. Moreover, the FC is still able to compute the sum over the remaining SUs
when some SUs fail to submit their reports. Besides, to ensure secure communication in cooperative spectrum
sensing, the proposed scheme verifies the legitimacy of SUs by utilizing the elliptic curve cryptography technique.
The results of security analysis show that the proposed scheme achieves the combined objectives of privacy
preservation, authentication, fault tolerance, and resistance to various types of attacks. Performance evaluation
results demonstrate the feasibility and practicality of the proposed scheme. Keywords: Cognitive radio networks | Cooperative spectrum sensing | Privacy preservation | Authentication | Fault tolerance | Elliptic curve cryptography |
مقاله انگلیسی |
3 |
Cognitive radio in the context of internet of things using a novel future internet architecture called NovaGenesis
رادیو شناختی در بستر اینترنت اشیا با استفاده از معماری اینترنت آینده به نام NovaGenesis-2017 Many Internet of Things (IoT) requirements are already at the core of next generation
wireless networks, including 5G, cognitive radio and future Internet. There is a huge con
silience that the majority of Internet devices will become sensors and actuators equipped
over ordinary “things”. As a consequence, the radio environment will increasingly become
crowded with thousands of low-cost devices sharing the unlicensed frequency bands. This
paper is regarding a convergent solution of future Internet and cognitive radio in the con
text of IoT. It proposes an embedded and low cost cooperative spectrum sensing solu
tion, which has been experimentally implemented. Furthermore, we present a distributed
software-controlled sector aware spectrum sensing architecture to store and analyze the
spectrum usage information. Finally, the proposed approach has been integrated to a fu
ture Internet architecture called NovaGenesis. A proof-of-concept has been experimentally
performed, demonstrating for the first time the convergence of IoT, future Internet and
cognitive radio.
Keywords: Cognitive radio | Cooperative spectrum sensing | Future internet | Internet of Things | NovaGenesis | Software-defined |
مقاله انگلیسی |
4 |
A framework for resilient and secure spectrum sensing on cognitive radio networks
چارچوبی برای سنجش طیف انعطاف پذیر و امن در شبکه های رادیویی شناختی-2015 Cognitive radio networks have been envisaged to improve efficiency in accessing the fre
quency spectrum. However, these networks are prone to different kind of attacks and fail
ures that can compromise the security and performance of licensed and unlicensed users.
This work presents a framework for security and resilience in cognitive radio networks. As
a showcase, this framework is applied to spectrum sensing functionality in order to assist
its operation even in face to failures and attacks, such as primary user emulation ones. Dif
ferently from other proposals founded on specific and permanent device features, our
framework provides flexibility and adaptation for detection and mitigation mechanisms
considering best-efforts or real-time applications. Simulation results based on real traces
provide evidences about the improvements achieved by our framework on spectrum sens
ing, even under primary user emulation attacks.
Keywords:
Cooperative spectrum sensing
Cognitive radio networks
Security management
Framework
Adaptation |
مقاله انگلیسی |