Power and energy optimization with reduced complexity in different deployment scenarios of massive MIMO network

Sofi, Ishfaq Bashir; Gupta, Akhil; Jha, Rakesh Kumar

doi:10.1002/dac.3907

Cited by 12 publications

(6 citation statements)

References 21 publications

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“…This work can also be modified and explored in different areas of wireless communication by following the mentioned research papers [27][28][29][30][31][32][33][34][35][36][37][38][39][40][41][42][43][44][45][46].…”

Section: Discussionmentioning

confidence: 99%

Performance Improvement of Next-Generation Network with Cognitive Radio Network and Coordinated Multipoint Joint Transmission

Valentin

Gupta

Sharma

2022

J. Phys.: Conf. Ser.

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Cognitive Radio Network (CRN) is a favourable technology for the future of wireless networks. It aims to seamlessly exploit spectrum resources by opportunistically using the unused or underused radio spectrum that is licensed. Cognitive Radio Network is a technology that is planned to be used in the 5th Generation of wireless communication. This technology is belied to be the answer to the unused and underused radio spectrum in the Radio environment. Whereas Coordinated Multipoint Joint Transmission (CoMP JT) is a technology that has already been used, first used in 3GPP LTE-Advanced. Coordinated Multipoint Joint Transmission aims to improve the performance of the cellular network. In this report, Cognitive Radio Network is being implemented along with Coordinated Multipoint Joint Transmission techniques. An inclusive and layered architecture of Cognitive Radio Network along with Coordinated multipoint Joint Transmission is being designed in this report, showing different technologies and different steps involved in the concept of this combination. Then the impact of CoMP JT on CRN is being studied. By implementing CoMP JT on CRN, it has been able to show how the performance of CRN is changing when implemented alone and when implemented with CoMP JT and some of the significant results are being depicted to better understand the changes in CRN with CoMP JT. Lastly, a study is performed on the combination of Cognitive Radio Network and Coordinated Multipoint Joint Transmission. As far as the investigation is being performed, two factors have been considered, which is: Signal to Interference plus Noise Ratio (SINR) and Total Average Throughput (TAT). The detailed study is being performed in this report and is being implemented in three different environments. Hence the results are being compared and a conclusion is being drawn based on these results.

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Section: Discussionmentioning

confidence: 99%

Performance Improvement of Next-Generation Network with Cognitive Radio Network and Coordinated Multipoint Joint Transmission

Valentin

Gupta

Sharma

2022

J. Phys.: Conf. Ser.

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“…Here BPSO algorithm is used to formulate a sleep‐strategy of SBSs in the clusters. In References 37‐41 different techniques are proposed by the authors to increase the EE of the wireless communication networks.…”

Section: Related Workmentioning

confidence: 99%

A new method of hybrid optimization of small cell range development and density for energy efficient ultra‐dense networks

Sidiq

Sheikh

Mustafa

et al. 2022

Trans Emerging Tel Tech

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Ultra-dense networks (UDNs) which comprise of small and macro cells, are considered the principal solution for increasing demands of data. However, making energy efficient networks will be a challenge for researchers. In this article, a hybrid optimization technique is proposed to enhance the energy efficiency (EE) of the UDNs, considering the user correlation and hybrid optimization of the density and transmitting power of the small-cell-base-station (SBS). More precisely, the problem framed is a problem of convex-linear programming and hence is divided into two sub-problems: cell correlation and hybrid optimization. The expression for the EE of the system is derived in the closed-form as a factor of the density of SBSs and small cell-range-development (CRD) bias dependent on the Poisson point process (PPP) followed by the sequential-search-algorithm to improve the small CRD bias and SBS density correspondingly. Additionally, to realize hybrid optimization of the small CRD bias and density of SBSs, a heuristic algorithm is put forward to accomplish the EE of the system. It is revealed from the simulation outcomes that the proposed small CRD bias and SBS density hybrid optimization significantly enhances the EE of the system with low computational intricacy.

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“…A tactical negotiation approach for real-time smart cellular coverage control is also discussed in this study. The authors in [10] proposed a self-organizing load balancing that offers policies for load balancing which is self-optimizing to enhance the adaptation and robustness of cellular networks based on Fixed Relay Station (FRS). A game-theoretical analysis is proposed that significantly increases capacity utilization in the network even when the cells do not behave cooperatively [11].…”

Section: Prior Workmentioning

confidence: 99%

“…Subsequently, the distance between the two picocells can also be varied. This work can also be modified and explored in different areas of wireless communication by following the mentioned research papers [10][11][12][13][14][15][16][17][18][19][20][21][22][23][24][25][26][27].…”

Section: Conclusion and Future Scopementioning

confidence: 99%

Load Balancing using Fixed Geometric Arrangements of Fixed and Mobile Small Cells in Mili-Meter Network

Verma

Pandey

Khurana

2022

J. Phys.: Conf. Ser.

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The upcoming generation of cellular networks is going to make extensive use of mmWave for communication. Hence, there will be a need for small cells to counter the loss incurred due to the more energy dissipation of mmWave. Small cells contain transmitters and receivers and hence there will be the need to balance the load efficiently so that no one is overwhelmed with functions to perform while others are relatively idle. In this paper, the performance of the user association algorithm is analysed when it is subjected to different scenarios like micro-urban, macro urban, suburban and rural. these scenarios are subjected to different frequency bands of mmWave and are compared for the values of the load balancing index. The load balancing algorithm is subjected to different small cell deployment techniques and the comparison is made for best deployment strategy among Quadrature based Approach (QBA) and Random deployment. Simulation results show that the sub-urban scenario has the maximum load-balancing index. On comparing QBA and random deployment approach QBA has a higher load balancing index in the suburban and rural scenarios and random deployment has a higher load balancing index in Indoor environments.

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Power and energy optimization with reduced complexity in different deployment scenarios of massive MIMO network

Cited by 12 publications

References 21 publications

Performance Improvement of Next-Generation Network with Cognitive Radio Network and Coordinated Multipoint Joint Transmission

Performance Improvement of Next-Generation Network with Cognitive Radio Network and Coordinated Multipoint Joint Transmission

A new method of hybrid optimization of small cell range development and density for energy efficient ultra‐dense networks

Load Balancing using Fixed Geometric Arrangements of Fixed and Mobile Small Cells in Mili-Meter Network

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