Baris Yuksekkaya

A GSM, internet and speech controlled wireless interactive home automation system

The home automation today needs to make use of the latest technological components available. In this paper, we present the design and implementation of a home automation system where communication technologies GSM (Global System for Mobile Communication), Internet, and speech recognition have been used. All these techniques are successfully merged in a single wireless home automation system. This system offers a complete, low cost, powerful and user friendly way of real-time monitoring and remote control of a house

Optimum Uplink Power Control under Power and Interference Constraints

This paper considers optimum allocation of transmission powers in next generation networks. The proposed framework is general enough to cover both emerging heterogeneous network (HetNet) architectures and cognitive radio (CR) networks. There are two types of users in our model. Type 1 users (T1U) represent either femtocell users in a HetNet, or secondary users in a CR network. Type 2 users (T2U) represent either macrocell users in a HetNet, or primary users in a CR network. T1Us share the same frequency band with T2Us, and they form an uplink to their intended base station (i.e., either the femtocell base station or the secondary base station) while causing interference to T2Us. The optimum power allocation strategy maximizing the aggregate communication rate of T1Us is found under individual transmission power constraints and a total interference power constraint at T2Us. It is shown that the optimum power allocation exhibits a binary structure, which means links are either quot;onquot; or quot;offquot;, up to at most one exceptional fractional power level. Further, it is shown that T1Us transmitting at positive power correspond to the ones having better quot;jointquot; power and interference channel gains. Applications of these results are illustrated for well-known fading models such as Rayleigh, Rician-K, and Nakagami-m fading.

Minimum Outage Probability for the Relay Channel under Individual Power Constraints

In this letter, minimum outage probability for a fading relay channel is considered for long-term individual power constraints (IPC) at the source and the relay. By utilizing Lagrange multiplier theory, it is shown that solving the IPC problem is equivalent to solving a weighted sum power constrained (wSPC) problem. Opportunistic decode and forward (ODF), and simplified ODF (SODF) protocol performances are investigated and compared with a lower bound on outage probability, under both individual and sum power constraints (SPC). It is shown that, under IPC, the source or the relay does not necessarily deplete its average power constraint, but some power can remain unutilized for ODF or SODF.

Power control for two-tier uplink under feedback and interference constraints

In this work, a two-tier heterogeneous network architecture is investigated. The proposed system structure qualifies as a general framework that covers both heterogeneous network (HetNet) structures and cognitive radio (CR) structures. The first tier and the second tier coincide with a macro-cell and a femtocell in a HetNet, respectively. Similarly, the first tier users and the second tier users correspond to the primary users and secondary users in a CR network, respectively. In our previous works, it was assumed that the channel state information of all users is perfectly available at the second tier base station. However, having perfect channel state information becomes impractical with increased number of users. In order to prevent this, the data rate maximization problem is investigated under feedback constraints. It is intended to maximize the total data rate of the second tier users under a total interference power constraint at the first tier and also under various feedback constraints. Because of the feedback constraint, a decrease on the overall system performance occurs. Different feedback scenarios are investigated in order to examine and remedy the reduction on the performance.

Power control for two-tier multi-carrier MAC under interference constraints

In this work, a two-tier heterogeneous network architecture is investigated for a channel with multiple carriers. The studied system structure qualifies as a general framework that covers both heterogeneous network (HetNet) structures and cognitive radio (CR) structures. The first and second tiers can be thought as a macro-cell and a femto-cell in a HetNet, respectively. Similarly, the first and second tier users coincide with the primary and secondary users in a CR network, respectively. Unlike our previous works, the data rate maximization problem is investigated for multi-carrier scenarios. It is intended to maximize the total data rate of the second tier users under transmit power constraints per user and per frequency band and a total interference power constraint at the first tier. The performance enhancement of using multiple carriers is investigated by forming a near-optimum, analytically found upper bound for the sum data rate.

Energy efficient power control and radio resource management in multi-connectivity framework

In this paper, CoMP (Coordinated Multi-Point Transmission and Reception) technique is studied to mitigate interference effects in cellular networks in which distributed antenna systems (DAS) are utilized. Power control and resource allocation problem is jointly optimized in a multi-user, multi-carrier downlink scenario where backhaul between base station and remote radio heads (antenna) are assumed lossless. Energy efficient radio resource management (RRM) algorithms are produced offering (sub)optimum solutions in a multi-connectivity framework providing user equipments connecting multiple access points simultaneously.

Power control for two-tier SIMO-MIMO uplink under interference constraints

A two-tiered scenario which consists of a central macro network and a second tier inside this network is examined. This tiered structure constitutes a general framework for both heterogeneous networks and cognitive radio networks. Single-input multiple-output (SIMO) vector channels and multiple-input multiple-output (MIMO) matrix channels are investigated and the second tier users form a multiple access channel with their intended base station. The aim of the research is to maximize the aggregate communication rate of second tier users under the constraint on the total interference power at the first tier user. The problem is observed for both SIMO and MIMO channels with successive interference cancellation decoders and it is seen that the solution is an iterative water-filling allocation.

Near-optimum power control for two-tier SIMO uplink under power and interference constraints

This paper considers optimization of transmit power allocation in a two-tier single input multiple output uplink network. The proposed system model is general enough to cover both emerging heterogeneous network (HetNet) architectures and cognitive radio (CR) networks. The first tier, which is assumed to have one user, represents a macrocell (or a primary user network) and the second tier represents a femtocell (or a secondary user network) in a HetNet (or a CR network). Second tier users share the same resources with the first tier user and they form a single input multiple output multiple access channel to their intended base station while causing interference to the first tier user. Near-optimum allocation of transmission powers maximizing the aggregate communication rate under individual transmission power constraints and a constraint on the total interference power at the first tier user is obtained by considering low-complexity signal decoders without interference cancelation at the second tier base station. It is shown that the power allocation is a modified version of the classical water-filling algorithm.

Country of origin estimation from composite faces using Kernel Principal Compenent Analysis

In this work, an algorithm is introduced that classifies test images into their originated countries using composite faces generated according to different countries. Also aim to increase success rate at implementation process using three color channel (R-G-B), color feature vector and local standard deviation matrix. Algorithm used Kernel Principal Component Analysis with gauss kernel structure for dimension reduction process. And optimal component number for dimension reduction process is determined via Horns parallel analysis method. At the end of process these obtained features are classified via Multi Support Vector Machines.

A General Joint Transceiver Design for Multiuser MIMO Channel Equalization

In this paper, joint transmitter receiver filter optimization for channel equalization is investigated for a multiuser multiple input multiple output frequency selective slowly varying channel. Minimum mean square error criterion is used in the equalization under a total transmit power constraint. Because of the simplicity of the optimization of multiple access channel, channel duality is used for the optimization problem and the solution is transformed to the broadcast, interference and MIMO frequency selective channels if required.