A survey of mmWave user association mechanisms and spectrum sharing approaches: an overview, open issues and challenges, future research trends

Attiah, Mothana L.; Isa, Azmi Awang Md; Zakaria, Zahriladha; Abdulhameed, M. K.; Mohsen, Mowafak K.; Ali, Ikbal

doi:10.1007/s11276-019-01976-x

Cited by 58 publications

(37 citation statements)

References 157 publications

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“…The vast growth of the communication system applications and new technologies necessitate the design of wideband antennas to keep pace with such diverse applications [1,2]. Leaky wave antenna (LWA) is a promising candidate for these developing applications because of its advantages, such as wide bandwidth, low profile, easy fabrication, capability of beam scanning, and narrow beamwidth.…”

Section: Introductionmentioning

confidence: 99%

Enhancement Bandwidth of Half Width-Microstrip Leaky Wave Antenna Using Circular Slots

Mohsen¹,

Isa²,

Isa³

et al. 2019

PIER C

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This paper presents a new technique to enhance impedance bandwidth of single layer half width microstrip leaky wave antenna (HW-MLWA) with continuous main beam scanning. The enhancement is realized by etching four circular slots on the radiation element. Two of the circular slots are placed close to the feed port, and the others are close to the matching load. The wide main beam scanning is between +12 • and +70 • when operation frequency sweeps between 4.3 GHz and 6.5 GHz. A comparison between the Uniform HW-MLWA (reference) and the proposed HW-MLWA with circular slots is provided to study the effectiveness of the added circular slots. The proposed HW-MLWA is fabricated and tested. The measured impedance bandwidth is 49.9% (4.28 GHz to 7.13 GHz) with peak gain 10.31 dBi at 5 GHz, hence the proposed antenna can be considered as a suitable candidate for C-band applications.

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Section: Introductionmentioning

confidence: 99%

Enhancement Bandwidth of Half Width-Microstrip Leaky Wave Antenna Using Circular Slots

Mohsen¹,

Isa²,

Isa³

et al. 2019

PIER C

Self Cite

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“…As the path loss is directly proportional to the square of the frequency, so mmWave suffers from high path loss, in addition to that is also suffers from high losses due to penetration, attenuation, rain, etc. Due to this, it has a shallow coverage area and supports only Line of Sight (LoS) propagation [145]. At mmWave frequencies, there is high foliage loss.…”

Section: Motivational Backgroundmentioning

confidence: 99%

A Survey on Soft Computing Techniques for Spectrum Sensing in a Cognitive Radio Network

Eappen

Shankar

2020

SN COMPUT. SCI.

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The need for faster wireless connectivity is increasing rapidly in all the sectors of the technologies. Whether it is a patient monitoring system, military application, entertainment services, streaming services, or global stock markets, there is a tremendous increase in the need for enhanced wireless telecommunication services. The wireless telecommunication consumers rely on bulk data, and massive growth in the number of users has resulted in the spectrum congestion. To avoid such spectrum congestion and to satisfy the data hunger of the wireless telecommunication users, the possible solution is Cognitive Radio Network (CRN). A CRN, therefore, plays a significant role in the field of wireless communication, and an efficient spectrum sensing enhances the effectiveness of the CRN. In this paper, complete research carried out so far in the field of spectrum sensing for CRN is discussed. Different soft computing techniques (GA, PSO, ABC, ACO, FFA, FSS, Cuckoo Search, ANN, FIS, GFIS) are surveyed in this paper, along with a detailed comparative analysis between conventional and soft computing techniques for spectrum sensing. In addition to that, the challenges faced in the implementation of CRN and its requirements is also addressed. Different spectrum sensing elements and requirements are presented and road map of spectrum sensing with soft computing techniques towards 5G is discussed. Furthermore, the paper also suggests the future prospects, research challenges and open issues associated with soft computing techniques for spectrum sensing in CRN.

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“…Recently, 5th generation (5G) networks have drawn increasing attention from industrial and academic researchers owing to the rapid growth of communication markets [1]. Several applications have been introduced in 5G networks to meet the new requirements, such as machine-to-machine, Internet of things and vehicle-tovehicle communications [2].…”

Section: Introductionmentioning

confidence: 99%

Low Complexity Rotation Algorithm for Reducing PAPR in Partial Transmits Sequence

Alameri

Ali

Attiah

et al. 2021

Preprint

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High peak to average power ratio (PAPR) is considered as a prime challenge in orthogonal frequency division multiplexing. The partial transmits sequence (PTS) technique is one of the most effective methods for restraining the PAPR pattern. This study proposes a novel approach for enhancing PAPR reduction performance in a PTS by partitioning each subblock into two parts then exchanging the first sample with the last selection in each part of the subblock to generate a new partitioning scheme. The proposed algorithm is analysed and applied to typical traditional segmentation schemes, namely, the adjacent, interleaving and pseudo-random schemes. Moreover, simulation is conducted with two scenarios in which the number of subcarriers is set to 128 and 256. In both systems, the improved segmentation schemes demonstrate PAPR reduction performance that is superior to that of the traditional strategies. Furthermore, the computational complexity level of the enhanced adjusted PTS scheme is low compared with that of the conventional schemes.

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A survey of mmWave user association mechanisms and spectrum sharing approaches: an overview, open issues and challenges, future research trends

Cited by 58 publications

References 157 publications

Enhancement Bandwidth of Half Width-Microstrip Leaky Wave Antenna Using Circular Slots

Enhancement Bandwidth of Half Width-Microstrip Leaky Wave Antenna Using Circular Slots

A Survey on Soft Computing Techniques for Spectrum Sensing in a Cognitive Radio Network

Low Complexity Rotation Algorithm for Reducing PAPR in Partial Transmits Sequence

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