@conference {
	title = {LQG Control via Wireless sensor Networks with Minimal Transmission Power},
	author = {Soleymani, Touraj., Hirche, Sandra., Baras, John S.},
	year = {2018},
	month = {05/2018},
	abstract = {This study concerns control of dynamical systems via wireless sensor nodes with minimal transmission power. In particular, we jointly design a controller and a transmission power control mechanism that adjusts the transmit power of a wireless sensor node. We develop a framework for achieving the minimum expected transmit power required for a specific level of the LQG control performance.We model the communication channel between the wireless sensor node and the controller by an AWGN channel compatible with the IEEE 802.15.4 standard, which was formed for the specification of low-data-rate and low-power wireless communication. We use dynamic programming to characterize the optimal policies, and show that there exists a separation between the designs of the optimal estimator, optimal controller, and optimal transmission power control mechanism.},
	address = {Sorrento Coast, Italy},
	booktitle = {14th Workshop on Discrete Event systems(WODES 2018)},
	pages = {pp. 62-67}
}
@conference {
	title = {Rethinking Service Chain Embedding for Cellular Network Slicing},
	author = {Papagianni, Chrysa. , Panagiotis, Papadimitriou., Baras, John S.},
	year = {2018},
	month = {05/2018},
	abstract = {5G is set out to address the business contexts of 2020 and beyond, by enabling new network and service capabilities. The industry consensus is that 5G will facilitate ubiquitous connectivity seamlessly integrating wireless technologies and complementary communication networks while operators will be capable of providing networks on a need-for-service basis. Furthermore, there is a need for operators to exploit new revenue sources and break the traditional business model of a single network infrastructure ownership, by supporting multi-tenancy. Network slicing can provide a solution towards this end; it is considered a key for meeting 5G{\textquoteright}s diverse requirements, including future-proof scalability and flexibility.

Provisioning and management of network slices in the transition from Long Term Evolution (LTE) to the emerging 5G systems poses the need for the mapping of service chains that express traffic and processing requirements of LTE slices. In this respect, we follow a different approach to the service chain mapping problem, promoting virtualized network function (NF) sharing among multiple service chains that are associated with a certain network slice. Using mixed-integer linear programming formulations, we show that our approach leads to reduced NF State and management overhead, compared to the common resource allocation practice in virtualized Radio Access Networks.},
	address = {Zurich, Switzerland},
	booktitle = {IFIP Networking 2018},
	pages = {253-261}
}
