Social-aware energy efficiency optimization for device-to-device communications in 5G networks

Huynh, De-Thu; Wang, Xiaofei; Vo, Nguyen-Son; Chen, Min

doi:10.1016/j.comcom.2018.02.008

Cited by 34 publications

(23 citation statements)

References 33 publications

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“…Hasil numerik menunjukkan bahwa optimalisasi efisiensi energi dengan sistem socially-aware dapat sangat meningkatkan efisiensi energi dan throughput sistem untuk komunikasi D2D dan juga menjaga efisiensi spektrum dan masalah efisiensi daya transmisi untuk menghasilkan QoS yang tinggi [9]. Pada penelitian yang telah dilakukan, efisiensi energi diukur dengan bit rate yang didapatkan per satuan watt (kbps/watt).…”

Section: Optimasi Efisiensi Energi Pada D2dunclassified

“…Dari hasil simulasi yang dilakukan, dengan menggunakan sistem socially-aware didapatkan efisiensi terbesar senilai 1000 kbps/watt, sedangkan pada sistem yang tidak socially-aware memiliki efisiensi terbesar senilai 500 kbps/watt. Hal ini menunjukan peningkatan dua kali lipat pada efisiensi energi [9]. Dapat dilihat pada Gambar 7, bagaimana ilustrasi dari sistem optimalisasi efisiensi energi menggunakan sistem yang socially aware.…”

Section: Optimasi Efisiensi Energi Pada D2dunclassified

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Komunikasi Device-to-Device pada Jaringan Seluler 5G menggunakan mmWave

Mulyadi

Usman

2020

AVITEC

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This article discusses about device-to-device communication on 5G cellular networks using mmWave. Device-to-device communication will support 5G cellular technology, because it can be a solution to overcome the limitations of cellular coverage and service capacity. D2D can be used in a variety of applications. The main problem in D2D is that interference between signals in one cell will be very vulnerable to occur, so that effective resource management is needed. In addition, the use of D2D will also increase the complexity of a cellular system, in terms of resource management, interference, and also the routing required. Several studies have been carried out to create D2D communication that can be implemented effectively on 5G. One of them is research to perfect the load balancing scheme which is one of the functions obtained from D2D communication. Load balancing is the distribution of cellular traffic loads, using D2D the traffic load is channeled to communication between devices and reduces the burden on the main network.

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Section: Optimasi Efisiensi Energi Pada D2dunclassified

Komunikasi Device-to-Device pada Jaringan Seluler 5G menggunakan mmWave

Mulyadi

Usman

2020

AVITEC

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“…In general, GA is flexible enough to tackle many objectives or constraints and can be combined with classical approaches [29] to deal with this kind of problem. In addition, GA has been widely adopted for solving optimization problems in wireless networks [13][14][15][16][17] and solutions to reduce its convergence time have been proposed [18]. In this work, it is assumed that the GA is adopted for the CRVNE dimensioning phase,i.e., before the network becomes fully operational.…”

Section: Chromosome Structure and Fitness Functionmentioning

confidence: 99%

“…However, the current work is pioneer as it (1) presents a comprehensive approach to the SVNs mapping problem; (2) formulates, validates, and analyzes additional performance metrics such as SU blocking and SU dropping probabilities and joint utilization (to be used in the SVNs mapping); (3) formulates the SVNs mapping as a multiobjective problem; and (4) proposes an evolutionary scheme based on Genetic Algorithm (GA) to solve this problem and evaluates it in terms of collision, SU dropping, SU blocking probabilities, and joint utilization. Due to its versatility, scalability, and computational simplicity, GA has been widely adopted for solving optimization problems in wireless networks [13][14][15][16][17] and solutions to reduce its convergence time have been proposed [18]. In this work, we assume that the GA is adopted for mapping SVNs, during the CRVNE dimensioning, before the network becomes fully operational.…”

Section: Introductionmentioning

confidence: 99%

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An Evolutionary Scheme for Secondary Virtual Networks Mapping onto Cognitive Radio Substrate

Balieiro

Falcao

Dias

2019

Wireless Communications and Mobile Computing

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The Fifth Generation (5G) of wireless communication is envisioned to comprise heterogeneous applications, different radio access technologies (RATs), and a large demand for mobile traffic. In this respect, Wireless Virtualization (WV) and Cognitive Radio (CR) are put forward as 5G enablers for providing additional spectrum resources through dynamic spectrum access (DSA) techniques, besides dealing with heterogeneity with no hardware modification. By empowering the synergy between CR and WV, we visualize an environment denoted as Cognitive Radio Virtual Networks Environment (CRVNE) that encompasses VWNs with different access priorities, called Primary Virtual Networks (PVNs) and Secondary Virtual Networks (SVNs) that may be deployed in an overlay manner. In this scenario, the SVNs users (SUs) access the resources opportunistically, which naturally raises challenges towards the SVN mapping. In this paper, we revisit our previous letter that models the interactions between PUs and SUs in a CRVNE and analyzes a proposed formulation for collision probability during the SVN mapping process. The current work is pioneer as it presents a comprehensive approach to the SVNs mapping problem; models, validates, and analyzes additional performance metrics such as SU blocking and SU dropping probabilities and joint utilization; formulates the SVNs mapping as a multiobjective problem; and proposes an evolutionary scheme based on Genetic Algorithms (GAs) to solve it. The results show that the proposed scheme outperforms the alternative method in terms of collision, SU dropping, SU blocking probabilities, and joint utilization under different primary and secondary loads.

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System‐level performance simulation analysis of non‐orthogonal multiple access technology in 5G mobile communication network

Fan

2020

Int J Communication

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Summary As the core technology of mobile communication system, multiple access technology directly determines the performance and capacity of the system. However, with the rapid growth of the number of mobile communication system users and the high rate service demand, these orthogonal multiple access technologies are limited by the spectrum efficiency and access capacity, so it is difficult to meet the future mobile communication demand. Therefore, for the fifth generation mobile communication system (5G), the research of non‐orthogonal multiple access (NOMA) technology to effectively improve the system capacity has been widely concerned. The purpose of this paper is to analyze the influence of interference and power distribution on system performance simulation based on the simulation results of two most representative NOMA technologies, sparse code division multiple access (SCMA) and NOMA. This paper firstly briefly analyzes the SCMA system model and key technologies and, on this basis, introduces the SCMA system simulation platform, including basic platform parameters and platform simulation flow chart. Furthermore, the influence of adaptive modulation coding on the performance improvement of SCMA system is analyzed by simulation. Then, based on the NOMA system model, this paper carried out the research on fairness among NOMA users. Based on Lagrange multiplier method, this paper simulates fairness under the restriction of power allocation optimization algorithm, the number of users in different area, different radius and different transmission power, the village of village fair index, the change of the frequency spectrum efficiency and energy efficiency curve, the throughput rate between 0.8 and 1.4 changes, and the conclusion that has a guiding significance for NOMA system design.

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Social-aware energy efficiency optimization for device-to-device communications in 5G networks

Cited by 34 publications

References 33 publications

Komunikasi Device-to-Device pada Jaringan Seluler 5G menggunakan mmWave

Komunikasi Device-to-Device pada Jaringan Seluler 5G menggunakan mmWave

An Evolutionary Scheme for Secondary Virtual Networks Mapping onto Cognitive Radio Substrate

System‐level performance simulation analysis of non‐orthogonal multiple access technology in 5G mobile communication network

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