A new switched beam smart antenna model for supporting asymmetrical communications extending Inet Omnet++ framework

Inzillo, Vincenzo; Rango, Floriano De; Santamaria, Amilcare Francesco; Quintana, Alfonso Ariza

doi:10.23919/spects.2017.8046781

Cited by 9 publications

(4 citation statements)

References 10 publications

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“…For example, a phased array system could be implemented. In our case, we created a new directive antenna model and the relative module called PhasedArray that implements all features of a phased array system [28]. The main definition of the class could be synthetized as follows (Figure 7).…”

Section: Sas Design and Implementation On Omnet++mentioning

confidence: 99%

Smart Antenna Systems Model Simulation Design for 5G Wireless Network Systems

Inzillo¹,

Rango²,

Zampogna³

et al. 2019

Array Pattern Optimization

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The most recent antenna array technologies such as smart antenna systems (SAS) and massive multiple input multiple output (MIMO) systems are giving a strong increasing impact relative to 5G wireless communication systems due to benefits that they could introduce in terms of performance improvements with respect to omnidirectional antennas. Although a considerable number of theoretical proposals already exist in this field, the most common used network simulators do not implement the latest wireless network standards and, consequently, they do not offer the possibility to emulate scenarios in which SAS or massive MIMO systems are employed. This aspect heavily affects the quality of the network performance analysis with regard to the next generation wireless communication systems. To overcome this issue, it is possible, for example, to extend the default features offered by one of the most used network simulators such as Omnet++ which provides a very complete suite of network protocols and patterns that can be adapted in order to support the latest antenna array systems. The main goal of the present chapter is to illustrate the improvements accomplished in this field allowing to enhance the basic functionalities of the Omnet++ simulator by implementing the most modern antenna array technologies.

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Section: Sas Design and Implementation On Omnet++mentioning

confidence: 99%

Smart Antenna Systems Model Simulation Design for 5G Wireless Network Systems

Inzillo¹,

Rango²,

Zampogna³

et al. 2019

Array Pattern Optimization

Self Cite

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show abstract

“…To overcome this issue, it is possible, for example, to extend the default features offered by one of the most used network simulators such as Omnet++ which provides a very complete suite of network protocols and patterns that can be adapted in order to support the latest antenna array systems. The main goal of Chapter 6 is to illustrate the improvements accomplished in this field, allowing to enhance the basic functionalities of the Omnet++ simulator by implementing the most modern antenna array technologies [32].…”

Section: And Jafar Ramadhan Mohammedmentioning

confidence: 99%

Introductory Chapter: Introduction to Array Pattern Optimization

Sayidmarie¹,

Mohammed²

2019

Array Pattern Optimization

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“…The simulations of the DA-MAC are accomplished in Omnet++ by using the switched beam SAS module that we designed in [46]. The number of antenna elements of the array is set to 10; because DA-MAC does not allow for a plane sectorization, the overall MAC performance of the considered approaches are evaluated in function of the number of mobile nodes in the network; the number of nodes are increased from 10 to 100.…”

Section: Performance Evaluationmentioning

confidence: 99%

An Adaptive Beamforming Time with Round-Robin MAC Algorithm for Reducing Energy Consumption in MANET

Inzillo

Rango

Quintana

et al. 2018

JSAN

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The use of smart antenna systems (SASs) in mobile ad hoc networks (MANETs) has been promoted as the best choice to improve spatial division multiple access (SDMA) and throughput. Although directional communications are expected to provide great advantages in terms of network performance, directional MAC (medium access control) protocols introduce several issues. One of the most known problems in this context is represented by the fact that, when attempting to solve or at least mitigate the problems introduced by these kinds of antennas especially at MAC layer, a large amount of energy consumption is achieved; for example, due to excessive retransmissions introduced by very frequently issue such as deafness and handoff. The expedients proposed in order to reduce these drawbacks attempting to limit beamforming time of nodes in cooperation with a round-robin scheduling can grant high performance in terms of fairness and throughput. However, the overall energy distribution in the network is not efficient due to static approach. In view of this, we propose adaptive beamforming time with round-robin MAC providing a dynamic assignment of the beamforming time with the aim to limit the waste of energy of nodes. The proposed approach provides benefits in terms of energy consumption distribution among nodes in sectorized antennas environments and, simultaneously, improves MAC packet performance.

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A new switched beam smart antenna model for supporting asymmetrical communications extending Inet Omnet++ framework

Cited by 9 publications

References 10 publications

Smart Antenna Systems Model Simulation Design for 5G Wireless Network Systems

Smart Antenna Systems Model Simulation Design for 5G Wireless Network Systems

Introductory Chapter: Introduction to Array Pattern Optimization

An Adaptive Beamforming Time with Round-Robin MAC Algorithm for Reducing Energy Consumption in MANET

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