Dynamic decision-based spectrum sharing framework for next-generation (5G) systems

Sadreddini, Zhaleh; Mašek, Pavel; Çavdar, Tuğrul; Hošek, Jiří; Güler, Erkan

doi:10.1109/siu.2017.7960375

Cited by 2 publications

(3 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Upon satisfying the Euclidean distance condition only, the FC will collect the sensing reports of Spectrum agents. The formulation is given as (6) Here the fusion center position is represented by the point , i.e. it's broadcasting area; Whereas the spectrum agent's positioning point is defined as and the radius of the spectrum agent is defined as .…”

Section: B Fusion Center Rotationmentioning

confidence: 99%

“…The open research challenges in 5G cognitive radio are security, connectivity, dynamical spectrum allocation, complex computations, resource management, reliable reconfiguration and privacy [5]. In CRN assisted 5G; to increase spectrum efficiency and utilization, a dynamic decision-based spectrum sharing model is modeled [6]. Analytical Hierarchy Process (AHP) is involved in this work that includes, Bit Rate (BR), Received Signal Strength Indicator (RSSI), movement direction, and user history for allocating spectrum.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

PAPR and ISI Reduction in Cognitive Radio Network based 5G Network using Massive MIMO SC - FDMA ES.

Deepanramkumar,

Jaisankar*

2019

IJEAT

View full text Add to dashboard Cite

Extended use of spectrum increased the number of users; this was the major cause to introduce Cognitive Radio Networks (CRN) which is designed to access the available spectrum effectively. Advanced telecommunication technology that is fifth-generation (5G) is inbuilt in CRNs. Fusion Center (FC) in CRN plays an important role in decision making for allocating available spectrum. A novel FC rotation (FCR) method is applied over FC to mitigate the occurrence of interference. Massive-Multiple Input Multiple Output (MaMi) system is used to enhance network performances to accommodate the huge participation of users by means of having a large number of antennas. Existing research works in CRN based 5G network fails to decrease intersymbol interference (ISI) and Peak-to-Average Power Ratio (PAPR). A novel Massive MIMO SC – FDMA ES is proposed in this paper to mitigate high PAPR values to enhance network performance. Our proposed work in CRN is experimentally designed using Network Simulator 3 from which the performances are evaluated. The extensive simulation result shows betterment in terms of channel capacity, reduction of PAPR, bit error rate and spectral efficiency.

show abstract

Section: B Fusion Center Rotationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

PAPR and ISI Reduction in Cognitive Radio Network based 5G Network using Massive MIMO SC - FDMA ES.

Deepanramkumar,

Jaisankar*

2019

IJEAT

View full text Add to dashboard Cite

show abstract

“…6 The dynamic decision-based spectrum sharing model is designed to maximize spectrum utilization and spectrum efficiency in a 5G CRN. 7 Spectrum allocation is performed using an analytical hierarchy process (AHP) that considers a received signal strength indicator (RSSI), a bit rate (BR), the movement direction, and user histories. In a CRN, interference can degrade the network.…”

mentioning

confidence: 99%

Secure cognitive radio‐based synchronized transmission of 5G signals using massive MIMO‐OFDM‐ES

Pari

Karuppiah

Islam

2018

Int J Communication

View full text Add to dashboard Cite

Summary A cognitive radio network (CRN) can address spectrum scarcity issues to achieve higher levels of spectral efficiency. Fifth‐generation (5G) technologies are advanced telecommunication technologies that are built into CRNs. Network performance is enhanced when using a massive multiple input multiple output (MIMO) system that tolerates a large number of users based on the use of multiple antennas. Several previous research works have been conducted on 5G CRNs, although these works have failed to mitigate interference and the peak‐to‐average power ratio (PAPR). In this paper, a 5G CRN with massive MIMO that ensures secure data transmission is developed. Security is ensured via the standardized key–based secrecy method supported by a certificate authority. A CRN fusion centre (FC) plays a vital role in decision making. Fusion centre rotation is applied to mitigate interference. Massive MIMO‐OFDM effective signalling is used to address PAPR problems. The proposed CRN is experimentally modelled using network simulator 3, and its performance is evaluated. Our simulation results reveal improvements in channel capacity, a reduction in the PAPR and bit error rates, and improvements in spectral efficiency.

show abstract

Dynamic decision-based spectrum sharing framework for next-generation (5G) systems

Cited by 2 publications

References 12 publications

PAPR and ISI Reduction in Cognitive Radio Network based 5G Network using Massive MIMO SC - FDMA ES.

PAPR and ISI Reduction in Cognitive Radio Network based 5G Network using Massive MIMO SC - FDMA ES.

Secure cognitive radio‐based synchronized transmission of 5G signals using massive MIMO‐OFDM‐ES

Contact Info

Product

Resources

About