Ahmet Rizaner

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Multiple access interference (MAI) is the main factor affecting the performance of channel estimation techniques for code division multiple access (CDMA) systems. Although, several multi-user channel estimation algorithms have been proposed to mitigate MAI, these algorithms require high computational complexities. In this paper, we address the problem of(More)
This paper carries comprehensive comparison of Interleave Division Multiple Access (IDMA) and Code Division Multiple Access (CDMA) systems in terms of performance (BER) and behavior to different number of users. Performance analysis of two systems whose transmitter and receiver structures are almost same are studied under Additive White Gaussian Noise(More)
Channel estimation techniques for CDMA systems need to combat multiple access interference and near-far effects to improve the estimation performance. Linear single-user MMSE detector has certain advantages with respect to near-far problem. In this paper, single-user MMSE detector is used to develop an iterative near-far resistant radio channel estimation(More)
Millimeter wave (mmWave) communication is a resplendent technology for the Fifth Generation (5G) systems. This outdoor cellular system, 5G, is expected to provide internet connections 40 times faster and with at least four times more coverage worldwide than the current 4G Long Term Evolution (LTE) wireless communications standard. However, mmWave(More)
We present a numerical approach for the approximate solutions of first order initial value problems (IVP) by using unsupervised radial basis function networks. The proposed unsupervised method is able to solve IVPs with high accuracy. In order to demonstrate the efficiency of the proposed approach, we also compare its solutions with the solutions obtained(More)
In code division multiple access channels multiuser detection techniques are known to be effective strategies to counter the presence of multiuser interference towards improving spectral efficiency. Generally, multiuser detectors can provide excellent performance only when the signature waveforms† of all users are precisely known. Hence, the estimation of(More)