scholarly journals Massive Random Access in Automobile-to-Automobile Communications using Honey-Bee Algorithm

2019 ◽  
Vol 9 (1) ◽  
pp. 7063-7068
Keyword(s):  
Honey Bee ◽  
Learning Automata ◽  
Random Access ◽  
Base Station ◽  
Direct Control ◽  
Course Of Action ◽  
Radio Access ◽  
Enormous Number ◽  
The Internet Of Things ◽  
Access Issue

Automobile-to-Automobile correspondence (M2M) is an inside piece in the Internet of Things (IoT) vision. In context on the enormous number of devices expected, the Whole deal Advancement Advanced (LTA-A) structures may present stop up and over-burden issues. The colossal passionate access in M2M trades will cause radio access arrange discourage in the base station (BS), actuating sharp debilitating in access deferral and access probability. Access class in any case (ACB) that can direct control the advancement of Automobile-type correspondence (MTC) devices by an ACB factor is an earth shattering course of action to keep the BS from traffic overbother. In remote cell manages, the enthusiastic access resources (i.e., preludes) are shared by M2M and human-to-human (H2H) contraptions, and research on ACB plot generally perceive that a predestined number of partners are named with M2M traffic. In any case, when encountering colossal access in M2M correspondences, it is connecting rapidly satisfy the path requests from MTC contraptions using each open presentation, especially in time-sensitive IoT conditions. In this paper, we study the gigantic access issue in M2M traffic entered conditions where M2M and H2H traffic can apply for each available prelude without segment. Utilizing the self-adaptable learning property of learning automata, we further propose dynamic Honey bee estimation to adjust the close to rate parameter. Duplication results exhibit that the Honey bee Computation achieves the presentation close to hypothetical optimality. The BS equipped with the Honey bee Count can effectively control the M2M traffic by capability adjusting the ACB factor under the counteractive action of H2H traffic and give quality relationship to both M2M and H2H traffic.

scholarly journals Enhancing Radio Access Network Performance over LTE-A for Machine-to-Machine Communications under Massive Access

2016 ◽  
Vol 2016 ◽  
pp. 1-16
Author(s):  
Fatemah Alsewaidi ◽  
Angela Doufexi ◽  
Dritan Kaleshi
Keyword(s):  
Network Performance ◽  
Success Probability ◽  
Access Network ◽  
Random Access ◽  
Base Station ◽  
Radio Access Network ◽  
Machine To Machine ◽  
Radio Access ◽  
Access Channel ◽  
Control Traffic

The expected tremendous growth of machine-to-machine (M2M) devices will require solutions to improve random access channel (RACH) performance. Recent studies have shown that radio access network (RAN) performance is degraded under the high density of devices. In this paper, we propose three methods to enhance RAN performance for M2M communications over the LTE-A standard. The first method employs a different value for the physical RACH configuration index to increase random access opportunities. The second method addresses a heterogeneous network by using a number of picocells to increase resources and offload control traffic from the macro base station. The third method involves aggregation points and addresses their effect on RAN performance. Based on evaluation results, our methods improved RACH performance in terms of the access success probability and average access delay.

scholarly journals Energy-Constrained Design of Joint NOMA-Diversity Schemes with Imperfect Interference Cancellation

Sensors ◽  
2021 ◽  
Vol 21 (12) ◽  
pp. 4194
Author(s):  
Fulvio Babich ◽  
Giulia Buttazzoni ◽  
Francesca Vatta ◽  
Massimiliano Comisso
Keyword(s):  
Interference Cancellation ◽  
Energy Levels ◽  
Random Access ◽  
Actual Performance ◽  
Available Energy ◽  
Fifth Generation ◽  
Code Modulation ◽  
Energy Constrained ◽  
The Relationship ◽  
The Internet Of Things

This study proposes a set of novel random access protocols combining Packet Repetition (PR) schemes, such as Contention Resolution Diversity Slotted Aloha (CRDSA) and Irregular Repetition SA (IRSA), with Non Orthogonal Multiple Access (NOMA). Differently from previous NOMA/CRDSA and NOMA/IRSA proposals, this work analytically derives the energy levels considering two realistic elements: the residual interference due to imperfect Interference Cancellation (IC), and the presence of requirements on the power spent for the transmission. More precisely, the energy-limited scenario is based on the relationship between the average available energy and the selected code modulation pair, thus being of specific interest for the implementation of the Internet of Things (IoT) technology in forthcoming fifth-generation (5G) systems. Moreover, a theoretical model based on the density evolution method is developed and numerically validated by extensive simulations to evaluate the limiting throughput and to explore the actual performance of different NOMA/PR schemes in energy-constrained scenarios.

scholarly journals Frequency Domain Backoff for Continuous Beamforming Space Division Multiple Access on Massive MIMO Wireless Backhaul Systems

2020 ◽  
Vol 16 (1) ◽  
pp. 1-10
Author(s):  
Kazuki Maruta
Keyword(s):  
Frequency Domain ◽  
Multiple Access ◽  
Random Access ◽  
Packet Delay ◽  
Base Station ◽  
Spatial Multiplexing ◽  
System Throughput ◽  
Space Division Multiple Access ◽  
Wireless Backhaul ◽  
Space Division

This paper newly proposes a frequency domain backoff scheme dedicated to continuous beamforming space division multiple access (CB-SDMA) on massive antenna systems for wireless entrance (MAS-WE). The entrance base station (EBS) has individual base band signal processing units for respective relay stations (RSs) to be accommodated. EBS then continuously applies beamforming weight to transmission/reception signals. CB-SDMA yields virtual point-to-point backhaul link where radio resource control messages and complicated multiuser scheduling are not required. This simplified structure allows RSs to work in a distributed manner. However, one issue remains to be resolved; overloaded multiple access resulting in collision due to its random access nature. The frequency domain backoff mechanism is introduced instead of the time domain one. It can flexibly avoid co-channel interference caused by excessive spatial multiplexing. Computer simulation verifies its superiority in terms of system throughput and packet delay.

scholarly journals An Application of the Internet of Things on Sustainable Aquaculture System

2021 ◽  
Vol 16 (2) ◽  
pp. 061-065
Author(s):  
SANTHOSH K
Keyword(s):  
Internet Of Things ◽  
Fish Farming ◽  
Farming System ◽  
Food Sources ◽  
The Internet ◽  
Additional Energy ◽  
Living Space ◽  
Course Of Action ◽  
Calcium Iron ◽  
The Internet Of Things

Hydroponics is one of the human significant food sources. This paper proposed the model of the system, Feasible Fish-Farming System (SFFS), which can make the water cultivating framework more practical, employing applying the Internet of things (IoT) to lessen the need for energy for controlling the climate. Little freshwater fish species (SFFs) (length <25 cm) are exceptionally plentiful in nutrient A, calcium, iron and so on and consequently can add to social wellbeing through a supplement to country networks. Under the pressing factor of broad current rural practices and aimless collecting, loads of SFFs are step by step declining, and their environments and favourable places are likewise being crumbled at a quicker rate. A superior protectionist approach could be the carp-SFFS combination which will decrease aimless mass catch fishing of SFFs and will guarantee the preservation of normal SFFs stocks in their territories giving financial advantage to partners. Various investigations have effectively showed an example of overcoming adversity of SFF polyculture through carp—SFFs joining. This creation cum preservation practice prompts manageability—a superior term in the fishery is 'social fishery'. The part that needs consideration is the taking care of nature of SFFs to comprehend inside and between species (with carps) food apportioning and living space inclination as better culture cum conservational approach. Exploration in hydroponics is a contribution to increment settled creation. In the last decade, different researchers have supported attempts that came about in advancing current creation advances that have altered homestead creation. Fish developing is having the chance to be a champion among the most remunerating ambitious activities on account of the low advancement, insignificant exertion course of action-adventure and the 3 to half-year gathering cycles. IoT advancements have altered homestead creation in the country. In this paper, we propose an idea to distinguish far off observing the fish cultivating framework by utilizing the different sensors to diminish the dangers. In this paper, we utilize different sensors like pH worth, temperature and level sensors. By utilizing these sensors, all the work is mechanized, and it will likewise be not challenging to screen the fish cultivating distantly from other areas. The SFFS coordinates the sun-based homestead and fish-ranch to lessen the additional energy input. Furthermore, the lighting of LEDs is utilized to help the photosynthesis in the evening. This way is more energy-proficient than the customary siphoning. Besides, this model shows the subjective accessibility of SFFS.

scholarly journals Beamforming Optimization in Internet of Things Applications Using Robust Swarm Algorithm in Conjunction with Connectable and Collaborative Sensors

Sensors ◽  
2020 ◽  
Vol 20 (7) ◽  
pp. 2048 ◽  
Author(s):  
Mohammed Zaki Hasan ◽  
Hussain Al-Rizzo
Keyword(s):  
Internet Of Things ◽  
Antenna Arrays ◽  
Smart Grids ◽  
Network Connectivity ◽  
Base Station ◽  
Node Selection ◽  
Swarm Optimization ◽  
Selection Scheme ◽  
Multihop Relaying ◽  
The Internet Of Things

The integration of the Internet of Things (IoT) with Wireless Sensor Networks (WSNs) typically involves multihop relaying combined with sophisticated signal processing to serve as an information provider for several applications such as smart grids, industrial, and search-and-rescue operations. These applications entail deploying many sensors in environments that are often random which motivated the study of beamforming using random geometric topologies. This paper introduces a new algorithm for the synthesis of several geometries of Collaborative Beamforming (CB) of virtual sensor antenna arrays with maximum mainlobe and minimum sidelobe levels (SLL) as well as null control using Canonical Swarm Optimization (CPSO) algorithm. The optimal beampattern is achieved by optimizing the current excitation weights for uniform and non-uniform interelement spacings based on the network connectivity of the virtual antenna arrays using a node selection scheme. As compared to conventional beamforming, convex optimization, Genetic Algorithm (GA), and Particle Swarm Optimization (PSO), the proposed CPSO achieves significant reduction in SLL, control of nulls, and increased gain in mainlobe directed towards the desired base station when the node selection technique is implemented with CB.

scholarly journals Evaluation Methodology for Virtual Base Station Platforms in Radio Access Networks

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 49366-49374 ◽  
Author(s):  
Lin Tian ◽  
Yiqing Zhou ◽  
Yuanyuan Wang ◽  
Jun Yang ◽  
Qian Sun ◽  
...  
Keyword(s):  
Base Station ◽  
Access Networks ◽  
Evaluation Methodology ◽  
Radio Access Networks ◽  
Radio Access ◽  
Virtual Base Station

scholarly journals Heterogeneous Cloud Radio Access Networks: Enhanced Time Allocation for Interference Mitigation

2018 ◽  
Vol 2018 ◽  
pp. 1-17
Author(s):  
Imad Al-Samman ◽  
Reham Almesaeed ◽  
Angela Doufexi ◽  
Mark Beach
Keyword(s):  
Cloud Computing ◽  
Resource Sharing ◽  
Interference Mitigation ◽  
Base Station ◽  
Small Cell ◽  
Access Networks ◽  
Cloud Radio Access Networks ◽  
Radio Access Networks ◽  
Radio Access ◽  
Heterogeneous Cloud

Responding to the unprecedented challenges imposed by the 5G technologies, mobile operators have given significant attention to Heterogeneous Cloud Radio Access Networks (H-CRAN) due to their beneficial features of performing optimization, cost effectiveness, and improving spectral and energy efficiency performance. H-CRAN inherits the attractive benefits of Heterogeneous Networks (HetNet) and the cloud computing by facilitating interference mitigation, scalability, and radio resource control. Consequently, H-CRAN is proposed in this article as a cost-effective potential solution to alleviate intertier interference and improve cooperative processing gains in HetNets by employing cloud computing. H-CRAN can provide efficient resource sharing at the spectrum, network, and infrastructure levels. Therefore, this article proposes H-CRAN cooperative interference mitigation method that enhances the time sharing among Radio Remote Heads (RRH) users. The study proposes an enhanced Almost Blank Subframe (ABSF) technique to increase the SINR and throughput of the small-cell (low power base station) and macrocell users. Simulation results show that the proposed Dynamic Programming-Diverse Almost Blank Subframe (ABSF) Pattern (DP-DAP) scheme improved the macro- and small-cell users up to 56% and 35%, respectively, as compared to other state-of-the-art ABSF schemes.

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