scholarly journals A Capacitated House Allocation Game for the Energy Efficient Relays Selection in 5G Multicast Context

Sensors ◽  
2020 ◽  
Vol 20 (18) ◽  
pp. 5347
Author(s):  
Francesco Chiti ◽  
Romano Fantacci ◽  
Benedetta Picano ◽  
Laura Pierucci

The upcoming fifth generation (5G) wireless networks making use of higher-frequency spectrum bands suffer from serious propagation issues due to high path loss and beam directivity requirements. This promotes the device-to-device communications to boost the transmission reliability at the network edges, providing remarkable benefits in terms of the energy and spectrum efficiency, essential for a wide class of sensors networks and Internet-of-Things. More in general, applications where devices are usually constrained in computational and transmission range capabilities. In such a context, the selection of the proper number of devices arranged as a relay plays a crucial role. Towards this goal, this paper proposes an efficient relay selection scheme minimizing both the delivery transmission delay and the overall energy consumption, i.e., the overall number of relays to be used. By focusing on a multicast content delivery application scenario the problem of interest is formulated as a one-sided preferences matching game. In addition, the strategy designed takes into account specific information, named reputation coefficient, associated to each device jointly with link propagation conditions for allowing the selection of suitable relays for disseminating the content among the devices. The effectiveness of the proposed solution is underpinned by computer simulations, and the performance is evaluated in terms of power consumption, end-to-end delay, and number of selected relays. As confirmed by results, the proposed approach improves network performance compared to the greedy approach, the random algorithm, a scheme previously proposed in literature, and with two game theory-based strategies.

Electronics ◽  
2019 ◽  
Vol 8 (11) ◽  
pp. 1355 ◽  
Author(s):  
Asim Anwar ◽  
Boon-Chong Seet ◽  
Muhammad Amish Hasan ◽  
Xue Jun Li

The fifth generation (5G) wireless systems are anticipated to meet unprecedented capacity and latency requirements. In order to resolve these challenges in 5G, non-orthogonal multiple access (NOMA) is considered as a promising technique due to its ability to enhance spectrum efficiency and user access. As opposed to conventional orthogonal multiple access (OMA) which relies on orthogonal resource sharing, NOMA has a potential of supporting a higher number of users by multiplexing different users in the same resource in a non-orthogonal manner. With advanced receiver techniques, such as successive interference cancellation (SIC), the intra-user interference can be minimized at the NOMA receiver. To date, there are comprehensive surveys on NOMA, which describe the integration of NOMA with different communication technologies and discuss different NOMA classifications. However, the existing literature is scarce in reviewing state-of-the-art applications of NOMA from the perspective of its application to cellular networks (CNs), device-to-device (D2D) communications, and wireless sensor networks (WSNs). Therefore, the purpose of this survey is to fill this gap in knowledge. Specifically, NOMA with its underlying concepts are elaborated in detail. In addition, detailed system model of different NOMA-based wireless networks is presented. Furthermore, irrespective of the underlying spatial topology of the considered NOMA-based wireless network, general analytical expressions are presented to characterize the network performance. Finally, some challenges related to NOMA design are highlighted and potential research directions are pointed out to address these issues.


Author(s):  
Ramon Perez ◽  
Jaime Garcia-Reinoso ◽  
Aitor Zabala ◽  
Pablo Serrano ◽  
Albert Banchs

AbstractThe fifth generation (5G) of mobile networks is designed to accommodate different types of use cases, each of them with different and stringent requirements and key performance indicators (KPIs). To support the optimization of the network performance and validation of the KPIs, there exist the necessity of a flexible and efficient monitoring system and capable of realizing multi-site and multi-stakeholder scenarios. Nevertheless, for the evolution from 5G to 6G, the network is envisioned as a user-driven, distributed Cloud computing system where the resource pool is foreseen to integrate the participating users. In this paper, we present a distributed monitoring architecture for Beyond 5G multi-site platforms, where different stakeholders share the resource pool in a distributed environment. Taking advantage of the usage of publish-subscribe mechanisms adapted to the Edge, the developed lightweight monitoring solution can manage large amounts of real-time traffic generated by the applications located in the resource pool. We assess the performance of the implemented paradigm, revealing some interesting insights about the platform, such as the effect caused by the throughput of monitoring data in performance parameters such as the latency and packet loss, or the presence of a saturation effect due to software limitations that impacts in the performance of the system under specific conditions. In the end, the performance evaluation process has confirmed that the monitoring platform suits the requirements of the proposed scenarios, being capable of handling similar workloads in real 5G and Beyond 5G scenarios, then discussing how the architecture could be mapped to these real scenarios.


Author(s):  
Xiuhua Fu ◽  
Tian Ding ◽  
Rongqun Peng ◽  
Cong Liu ◽  
Mohamed Cheriet

AbstractThis paper studies the communication problem between UAVs and cellular base stations in a 5G IoT scenario where multiple UAVs work together. We are dedicated to the uplink channel modeling and the performance analysis of the uplink transmission. In the channel model, we consider the impact of 3D distance and multi-UAVs reflection on wireless signal propagation. The 3D distance is used to calculate the path loss, which can better reflect the actual path loss. The power control factor is used to adjust the UAV's uplink transmit power to compensate for different propagation path losses, so as to achieve precise power control. This paper proposes a binary exponential power control algorithm suitable for 5G networked UAV transmitters and presents the entire power control process including the open-loop phase and the closed-loop phase. The effects of power control factors on coverage probability, spectrum efficiency and energy efficiency under different 3D distances are simulated and analyzed. The results show that the optimal power control factor can be found from the point of view of energy efficiency.


2019 ◽  
Vol 16 (05) ◽  
pp. 1950029
Author(s):  
Mohammed Abdul Rahman AlShehri ◽  
Shailendra Mishra

Software defined network (SDN) controller selection in SDN is a key challenge to the network administrator. In SDN, control plane is an isolated process and operate on control layer. The controller provides a universal view of the entire network and support applications and services. The three focused parameters for controller selection are productivity, campus network and open source. In SDN, it is vital to have a good device for the efficient processing of all requests made by the switch and for good behavior of the network. For selecting best controller for the specified parameters, decision logic has to be developed that allow us to do comparison of the available controllers. Therefore, in this research we have suggested a methodology that uses analytic-hierarchy-process (AHP) to find a best controller. The approach has been studied and verified for a big organization network setup of Al-Majmaah University, Saudi Arabia. The approach is found to be more effective and increase the network performance significantly.


2020 ◽  
Vol 12 (2) ◽  
pp. 162-167 ◽  
Author(s):  
Kirti Magudia ◽  
Thomas S. C. Ng ◽  
Alexander G. Bick ◽  
Megan A. Koster ◽  
Camden Bay ◽  
...  

ABSTRACT Background Parenting issues can affect physicians' choice of specialty or subspecialty, as well as their selection of individual training programs, because of the distinctive challenges facing residents and fellows with children. Specific information about how residents perceive these challenges is limited. Objective We sought to better understand the challenges associated with parenting during residency and fellowship training in order to inform policy and research. Methods In 2017, a voluntary online questionnaire was distributed to all 2214 Partners HealthCare graduate medical education trainees across 285 training programs. The survey queried attitudes of and about trainees with children and assessed needs and experiences related to parental leave, lactation, and childcare. Responses were compared between subgroups, including gender, surgical versus nonsurgical specialty, parental status, and whether the respondent was planning to become a parent. Results A total of 578 trainees (26%) responded to the questionnaire. Of these, 195 (34%) became parents during training. An additional 298 (52%) planned to become parents during training. Respondents overwhelmingly agreed that their institution should support trainees with children (95%) and that doing so is important for trainee wellness (98%). However, 25% felt that trainees with children burden trainees without children. Childcare access, affordability, and availability for sufficient hours were identified as key challenges, along with issues related to parental leave, lactation facilities, and effect on peers. Conclusions This survey highlights trainees' perspectives about parenting during their clinical training, signaling parental leave, lactation facilities, and childcare access and affordability as particular challenges and potential targets for future interventions.


2020 ◽  
Vol 10 (16) ◽  
pp. 5614
Author(s):  
Yu-Jin Na ◽  
Won-Seok Lee ◽  
Min-Jae Paek ◽  
Hyoung-Kyu Song ◽  
Duckdong Hwang ◽  
...  

As a cellular network of the fifth generation (5G) is commercialized, mobile devices and data throughput have rapidly increased. According to the spatial density for communication increases, the nodes of cell are overloaded. Therefore, the heterogeneous ultra dense network (UDN) is suggested. Furthermore, the techniques for selecting a relay have been proposed in the Heterogeneous Net (HetNet). The relays are needed to improve communication performance and mitigate overload of nodes. In this paper, an adaptive relay selection scheme is proposed to obtain the diversity gain from multiple relays. To enhance the reliability of communication, the proposed scheme suggests a new algorithm considering outage probability and diversity gain of compound channel. Furthermore, the selected relays use an antenna selection algorithm to improve the channel capacity. Simulation results show that the proposed scheme improves the bit error rate (BER) and the data throughput.


Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-7 ◽  
Author(s):  
Wu Jinqiu ◽  
Qiao Gang ◽  
Kang Pengbin

Generalized frequency division multiplexing (GFDM) is a newly introduced technique for the wireless fifth-generation (5G) standard based on multicarrier filter bank theory, which has the advantage of flexibility in setting the number of subcarriers and subblocks. The application of GFDM in underwater acoustic (UWA) communication can take full advantage of the limited spectral resources, which is a prime limitation in UWA communication and will promote the development of UWA network technology. However, the multicarrier communication technique utilized in radio 5G communication offers difficulty in channel estimation, and the influence of a channel cannot be ignored especially in the UWA communication field. Therefore, GFDM cannot be implemented directly in UWA communication; to solve this problem, a system combining chaotic sequence spread spectrum technology with GFDM is proposed, which is a novel technique with high spectrum efficiency. Simulation and experimental results verified the effectiveness of the proposed system.


2013 ◽  
Vol 756-759 ◽  
pp. 2147-2151
Author(s):  
Dan Zhao ◽  
Xiao Feng Hu ◽  
Chun Qing Wu

Hot-potato routing is commonly used to break tie among multiple equally-good exit points associating with inter-domain BGP routes. However, hot-potato routing only takes the network control plane into consideration, where it provides the routers the possibility of enabling early exit of traffic using barely protocol-related information of IGP distance. In this paper, we argue that egress selection of inter-domain routing should pay more attention to traffic forwarding, because the large traffic migration caused by egress change, although not quite often, can degrade the network performance or even make the network crash. We propose Egress Selection based on Traffic Migration Prediction (ES-TMP). We use traffic demand to predict the traffic migration, which is used as important criteria for egress selection. If the volume of traffic migration is large, ES-TMP keeps the egress unchanged. Otherwise, the small traffic migration enables the routers use the closest egress without apparent influence on network performance. ES-TMP can either be implemented with standard BGP protocol or by dedicated servers to perform global routing optimization.


2006 ◽  
Vol 134 (3) ◽  
pp. 897-918 ◽  
Author(s):  
M. Chiriaco ◽  
R. Vautard ◽  
H. Chepfer ◽  
M. Haeffelin ◽  
J. Dudhia ◽  
...  

Abstract The ability of the fifth-generation Pennsylvania State University–NCAR Mesoscale Model (MM5) to simulate midlatitude ice clouds is evaluated. Model outputs are compared to long-term meteorological measurements by active (radar and lidar) and passive (infrared and visible fluxes) remote sensing collected at an atmospheric observatory near Paris, France. The goal is to understand which of four microphysical schemes is best suited to simulate midlatitude ice clouds. The methodology consists of simulating instrument observables from the model outputs without any profile inversion, which allows the authors to use fewer assumptions on microphysical and optical properties of ice particles. Among the four schemes compared in the current study, the best observation-to-simulations scores are obtained with Reisner et al. provided that the particles’ sedimentation velocity from Heymsfield and Donner is used instead of that originally proposed. For this last scheme, the model gives results close to the measurements for clouds with medium optical depth of typically 1 to 3, whatever the season. In this configuration, MM5 simulates the presence of midlatitude ice clouds in more than 65% of the authors’ selection of observed cloud cases. In 35% of the cases, the simulated clouds are too persistent whatever the microphysical scheme and tend to produce too much solid water (ice and snow) and not enough liquid water.


Author(s):  
Bartłomiej Czaplicki

AbstractModularity of grammar has been explicitly or tacitly assumed in many generative analyses. Modules are separate computational systems that perform specific tasks and make use of domain-specific information. It is argued that the concept is difficult to maintain in the light of evidence from Polish. I look at palatalization effects before vowels and conclude that phonological regularities must have access to morphosyntactic information. In addition, certain regularities in the selection of diminutive allomorphs suggest that morphology must have access to phonetic information. As domain specificity, the core concept of modular approaches, is compromised, modularity does not seem a likely candidate for a universal property of grammar.


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