A Novel Design Approach for 5G Massive MIMO and NB-IoT Green Networks Using a Hybrid Jaya-Differential Evolution Algorithm

Goudos, Sotirios K.; Deruyck, Margot; David, Paul A.; Martens, Luc; Psannis, Kostas E.; Sarigiannidis, Panagiotis; Joseph, Wout

doi:10.1109/access.2019.2932042

Cited by 43 publications

(31 citation statements)

References 40 publications

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“…In addition, it is shown that a sub-optimal planning, driven by strict regulations limiting the installation of new BS sites, has a not-negligible impact on the type of service that is provided by operators, as well as on the user QoS. In [77], the problem of designing emerging cellular networks like massive MIMO and LTE Narrow Band (NB)-IoT for the best possible coverage and optimal power consumption has been studied. The results indicate that massive MIMO access networks will be denser than current 4G technology and will offer a greater capacity.…”

Section: Network Planning and Optimizationmentioning

confidence: 99%

A Comprehensive Study on Simulation Techniques for 5G Networks: State of the Art Results, Analysis, and Future Challenges

2020

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Ιn this review article, a comprehensive study is provided regarding the latest achievements in simulation techniques and platforms for fifth generation (5G) wireless cellular networks. In this context, the calculation of a set of diverse performance metrics, such as achievable throughput in uplink and downlink, the mean Bit Error Rate, the number of active users, outage probability, the handover rate, delay, latency, etc., can be a computationally demanding task due to the various parameters that should be incorporated in system and link level simulations. For example, potential solutions for 5G interfaces include, among others, millimeter Wave (mmWave) transmission, massive multiple input multiple output (MIMO) architectures and non-orthogonal multiple access (NOMA). Therefore, a more accurate and realistic representation of channel coefficients and overall interference is required compared to other cellular interfaces. In addition, the increased number of highly directional beams will unavoidably lead to increased signaling burden and handovers. Moreover, until a full transition to 5G networks takes place, coexistence with currently deployed fourth generation (4G) networks will be a challenging issue for radio network planning. Finally, the potential exploitation of 5G infrastructures in future electrical smart grids in order to support high bandwidth and zero latency applications (e.g., semi or full autonomous driving) dictates the need for the development of simulation environments able to incorporate the various and diverse aspects of 5G wireless cellular networks.

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Section: Network Planning and Optimizationmentioning

confidence: 99%

A Comprehensive Study on Simulation Techniques for 5G Networks: State of the Art Results, Analysis, and Future Challenges

2020

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“…The novelty of the evaluation tool is the inclusion of a simultaneous radio allocation for access and backhaul links for UABSs, and the usage of hybrid path loss models for links between the UABS, the underground sensors and the facility antenna. The standard coded in the tool is following the most realistic scenario possible to integrate the aforementioned technologies in the frequency bands used [31], [78]- [80]. This tool has been experimentally validated in various research works, with results from mobile operators [76] to comparison between simulations [31] and measurement campaigns [80].…”

Section: System Evaluation Toolmentioning

confidence: 99%

System Assessment of WUSN Using NB-IoT UAV-Aided Networks in Potato Crops

et al. 2020

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Unmanned Aerial Vehicles (UAV) are part of precision agriculture; also, their impact on fast deployable wireless communication is offering new solutions and systems never envisioned before such as collecting information from underground sensors by using low power Internet of Things (IoT) technologies. In this paper, we propose a (Narrow Band IoT) NB-IoT system for collecting underground soil parameters in potato crops using a UAV-aided network. To this end, a simulation tool implementing a gateway mounted on a UAV using NB-IoT based access network and LTE based backhaul network is developed. This tool evaluates the performance of a realistic scenario in a potato field near Bogota, Colombia, accounting for real size packets in a complete IoT application. While computing the wireless link quality, it allocates access and backhaul resources simultaneously based on the technologies used. We compare the performance of wireless underground sensors buried in dry and wet soils at four different depths. Results show that a single drone with 50 seconds of flight time could satisfy more than 2000 sensors deployed in a 20 hectares field, depending on the buried depth and soil characteristics. We found that an optimal flight altitude is located between 60 m and 80 m for buried sensors. Moreover, we establish that the water content reduces the maximum reachable buried depth from 70 cm in dry soils, down to 30 cm in wet ones. Besides, we found that in the proposed scenario, sensors' battery life could last up to 82 months for above ground sensors and 77 months for the deepest buried ones. Finally, we discuss the influence of the sensor's density and buried depth, the flight service time and altitude in power-constrained conditions and we propose optimal configuration to improve system performance. INDEX TERMS Precision agriculture, NB-IoT, unmanned aerial vehicles, wireless underground sensor networks.

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“…where M is the number of scanning points. According to equation (4), the object function can be calculated according to the complex ratio between transmitting and receiving signals by solving the matrix for a given distance. By integrating echoes at different frequencies, BPA can reconstruct the object.…”

Section: Review Of Algorithms a Brief Review Of Bpamentioning

confidence: 99%

Comparison Between Back Projection Algorithm and Range Migration Algorithm in Terahertz Imaging

Wang

Qian

et al. 2020

IEEE Access

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Back projection algorithm (BPA) and range migration algorithm (RMA) are two common approaches for image reconstruction in synthetic aperture radar (SAR) imaging. Imaging is implemented in spatial domain and spatial frequency domain, respectively and these two methods are often considered to generate the same results. This is true in normal microwave/millimeter wave SAR imaging systems, since the object of interests is located far away and the applied wavelength is long. In this case, the location of the object is the most important issue and there is no impetus to image the object with very fine details. In case of terahertz (THz) imaging, we have found some differences by using the two algorithms above, including the position of the object and resolution in 2D and 3D imaging. Some insights are given and we believe there should be some guidelines regarding the pros and cons before choosing the exact algorithm, especially when high-performance imaging is pursued. INDEX TERMS Ambient environment sensing, THz imaging, image reconstruction.

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A Novel Design Approach for 5G Massive MIMO and NB-IoT Green Networks Using a Hybrid Jaya-Differential Evolution Algorithm

Cited by 43 publications

References 40 publications

A Comprehensive Study on Simulation Techniques for 5G Networks: State of the Art Results, Analysis, and Future Challenges

A Comprehensive Study on Simulation Techniques for 5G Networks: State of the Art Results, Analysis, and Future Challenges

System Assessment of WUSN Using NB-IoT UAV-Aided Networks in Potato Crops

Comparison Between Back Projection Algorithm and Range Migration Algorithm in Terahertz Imaging

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