@conference {
	title = {Autonomous Relocation Strategies for Cells on Wheels in Environments with Prohibited Areas},
	author = {Rabieekenari, Ladan., Sayrafian, Kamran., Baras, John S.},
	year = {2017},
	month = {05/2017},
	abstract = {Public safety organizations increasingly rely on wireless technology for their mission critical communication during disaster response operations. In such situations, a communication network could face much higher traffic demands compared to its normal operation. Given the limited capacity of base stations in the network, such peak traffic scenarios could lead to high blocking probability or equivalently service interruptions during critical communications. At the same time, networking infrastructure can breakdown during a disaster. Proper deployment of mobile cells - Cells on Wheels - can help to enhance the network coverage or accommodate excess traffic in areas with high concentration of users. In addition, an intelligent relocation strategy can be used to efficiently adapt the cell locations to match variations in the spatial distribution of the traffic. In practical scenarios, these mobile base stations may not be able to relocate to all positions within the target field. Such prohibited areas introduce additional constraints on designing an intelligent relocation strategy. In this paper, we propose a decentralized relocation algorithm that enables mobile cells to adapt their positions in response to potentially changing traffic patterns in a field with prohibited areas. Extensive simulations show considerable improvement in supporting spatially variable traffic throughout the target field.},
	address = {Paris, France},
	booktitle = {IEEE International Conference on Communications (ICC 2017)},
	pages = {pp.1-6}
}
@conference {
	title = {Autonomous Relocation Strategies for Cells on Wheels in Public Safety Networks},
	author = {Rabieekenari, Ladan., Sayrafian, Kamran., Baras, John S.},
	year = {2017},
	month = {01/2017},
	abstract = {Lack of network availability or limited access to~communication services are among the challenges that public~safety officials and first responders could face during disasters~or emergency scenarios. Networking infrastructure can partially~(or sometimes fully) breakdown during a catastrophe. At the~same time, unusual peaks in traffic load could lead to much~higher blocking probability or service interruptions for critical~communication. Lack of adequate communication among emergency~responders or public safety personnel could put many~lives at risks. A possible solution to deal with such scenarios~is through the use of mobile/portable infrastructures commonly~referred to as Cells on Wheels (COW) or Cells on Light~Trucks (COLT). These mobile cells can effectively complement~the existing undamaged infrastructure or enable a temporary~emergency network by themselves. Given the limited capacity of~each cell, variable and spatially non-uniform traffic across the~disaster area can make a big impact on the network performance.~Not only judicious deployment of the cells can help to meet~the coverage and capacity demands across the area, but also~intelligent relocation strategies can optimally match the network~resources to potentially changing traffic demands. Assuming that~each cell can autonomously change its location, in this paper, we~propose a decentralized relocation algorithm that adapts network~coverage in order to increase the supported users traffic. Our~simulations show an average improvement of approximately 35\%~in the supported traffic compared to static uniform deployment.},
	address = {Las Vegas, Nevada},
	booktitle = {The 14th Annual IEEE Consumer Communications \& Networking Conference (CCNC 2017)},
	pages = {pp. 41-44}
}
@conference {
	title = {Maximizing Output Power of a CFPG Micro Energy-Harvester for Wearable Medical Sensors},
	author = {Dadfarnia, Mehdi., Sayrafian, Kamran., Mitcheson, Paul., Baras, John S.},
	year = {2014},
	month = {11/2014},
	abstract = {Energy Harvesting refers to the process ofcapturing and storing energy from the ambientenvironment. Kinetic energy harvested from the human bodymotion seems to be one of the most convenient and attractivesolutions for wearable wireless sensors in healthcareapplications. Due to their small size, such sensors are oftenpowered by small batteries which might necessitate frequentrecharge or even sensor replacement. Energy harvesting canprolong the battery lifetime of these sensors. This could directlyimpact their everyday use and significantly help theircommercial applications such as remote monitoring. In thispaper, our aim is to develop a Simulink model of the CFPGdevice that can be used to study temporal behavior of thegenerated power. Having such a dynamic model, not only helpsto have a more accurate estimation of the amount of powergenerated from various human movements, but also allows us tofurther optimize the design parameters of the micro-harvester(e.g. size/dimension, electrostatic holding force, etc.) with thecharacteristics of the input acceleration (i.e. human activity).},
	address = {Athens, Greece},
	booktitle = {4th International Conference on Wireless Mobile Communication and Healthcare},
	pages = {pp. 218-221}
}
@conference {
	title = {Clustering Characteristics of Millimeter Wave Indoor Channels},
	author = {Neekzad, Behnam., Sayrafian, Kamran., Baras, John S.},
	year = {2008},
	month = {03/2008},
	abstract = {Temporal-Angular channel sounding measurements of an indoor millimeter wave channel (60 GHz) is analyzed to determine whether ray arrivals at the receiver form clusters in the two-dimensional time-angle space. The channel behavior for directional antennas (with various 3dB beamwidths) at the transmitter is discussed and geometric interpretation of the results is provided.},
	address = {Las Vegas, Nevada},
	booktitle = {IEEE Wireless Communications \&amp; Networking Conference},
	pages = {pp. 1217-1222}
}
@conference {
	title = {Comparison of Ray Tracing Simulations and Millimeter Wave Channel Sounding Measurements},
	author = {Neekzad, Behnam., Sayrafian, Kamran., Perez, Julio., Baras, John S.},
	year = {2007},
	month = {09/2007},
	abstract = {Temporal-Angular channel sounding measurements of an indoor millimeter wave channel (60 GHz) is analyzed to determine the location of two-dimensional clusters of arrivals at the receiver. The measurement scenarios are also emulated by a ray tracing tool. The results are similarly analyzed to verify possible agreements and determine the effectiveness of such tools in predicting cluster locations as well as ray arrival statistics within clusters in millimeter wave indoor channel.},
	address = {Athens, Greece},
	booktitle = {18th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications},
	pages = {pp. 1-5}
}
@conference {
	title = {Energy Efficient Millimeter Wave Radio Link Establishment for Low Probability of Intercept with Smart Antenna Arrays},
	author = {Neekzad, Behnam., Baras, John S., Sayrafian, Kamran.},
	year = {2006},
	month = {11/2006},
	abstract = {Consider a system of two millimeter wave transceiver nodes A and B. We assume that each node is equipped with a circular array antenna that has beamforming capability. We are interested in using the beamforming capability to find the best possible directions for transmission and reception such that the communication link between two nodes provides maximal SNR at the receiver. A protocol that in most cases achieves the optimal solution is developed and simulation results are provided to show the effectiveness of the algorithm.},
	address = {Orlando, FL},
	booktitle = {25th Army Science Conference},
	pages = {pp. 1-6}
}
@conference {
	title = {Ray-Tracing Simulation of the NICT Channel Measurements},
	author = {Sayrafian, Kamran., Neekzad, Behnam., Perez, Julio., Baras, John S.},
	year = {2006},
	month = {07/2006},
	address = {San Diego, CA},
	booktitle = {IEEE Standard 802.15.3c mm-Wave channel modeling subgroup}
}
