2017 13th International Wireless Communications and Mobile Computing Conference (IWCMC) 2017
DOI: 10.1109/iwcmc.2017.7986455
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A new Variable Error Metric adaptive beamforming Algorithm for smart antenna systems

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Cited by 5 publications
(2 citation statements)
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“…As instrument for our model implementation we chose the Omnet++ Simulator; we used the adaptive Smart Antenna PhasedArray module designed in [16]. For enabling the Round-Robin approach we extended PhasedArray module adding several configuration variables (such as sectorTime and sectorWidth) and a set of utility functions.…”
Section: Model Implementation and Simulation Resultsmentioning
confidence: 99%
“…As instrument for our model implementation we chose the Omnet++ Simulator; we used the adaptive Smart Antenna PhasedArray module designed in [16]. For enabling the Round-Robin approach we extended PhasedArray module adding several configuration variables (such as sectorTime and sectorWidth) and a set of utility functions.…”
Section: Model Implementation and Simulation Resultsmentioning
confidence: 99%
“…However, when the energy saving algorithm is not used by the system, we still have a remarkable improving of the average Packet Delivery Ratio with respect to the omnidirectional case. As future developments, we will propose to optimize the system replacing the LMS algorithm (that could result very slow in terms of computations as the number of communications increases) with a faster algorithm that provides a Variable Error Metric estimation (VMA) that we designed in [29]. Other aspect that it needs to be investigated is the node density; in particular, in order to have a precise estimation of the error introduced by interfering signals in environments in which the concentration of nodes is high, it could be necessary to implement an accurate caching mechanism; in this regard, it might result very critical to distinguish the amount of destructive power introduced mainly by the closest neighbors of a certain transmitter/receiver node, especially in contexts that changes their topology very frequently.…”
Section: Resultsmentioning
confidence: 99%