WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
Permanent URI for this collectionhttps://hdl.handle.net/11147/7150
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Conference Object Citation - Scopus: 2Reconfigurable Intelligent Surface Assisted Pnc System With Multiple Antennas(IEEE, 2023) Ilguy, Mert; Ozbek, Berna; Musavian, Leila; Mumtaz, RaoReconfigurable Intelligent Surface (RIS) is one of the promising key technologies for next generation wireless communication systems since it smartly controls wireless propagation environments. Besides, the combination of wireless physical network coding (PNC) and multiple antennas improves the overall system performance. In this paper, we propose an efficient RIS-assisted PNC with multiple antennas to reduce delay and error probability while establishing reliable transmission between the users which are far from each other and communicating via a base station with the help of the RISs. The extensive performance results are provided for the proposed scheme for the RIS-assisted PNC with multiple antennas.Article Citation - WoS: 5Citation - Scopus: 8Coverage Analysis of Physical Layer Network Coding in Massive Mimo Systems(Institute of Electrical and Electronics Engineers Inc., 2021) İlgüy, Mert; Özbek, Berna; Mumtaz, Rao; Busari, Sherif A.; Gonzalez, JonathanWireless networks are prone to interference due to their broadcast nature. In the design of most of the traditional networks, this broadcast nature is perceived as a performance-degrading factor. However, Physical Layer Network Coding (PNC) exploits this broadcast nature by enabling simultaneous transmissions from different sources and thereby enhances the performance of the wireless networks with respect to improvement in spectral efficiency, coverage, latency and security of the system. For fifth generation (5G) networks and beyond, massive multiple input multiple output (MIMO) is considered as a key physical layer technology. Thus, its combination with PNC can significantly enhance the performance of the network, facilitating capacity-coverage improvement, among other benefits. While the bit error rate performance of multiuser massive MIMO-PNC systems through linear detection has been investigated extensively, their coverage probability for a given target signal-to-noise ratio has not been explored yet. In this paper, we derive a closed form expression for coverage probability in PNC based multiuser massive MIMO systems employing zero-forcing equalization. Both theoretical and simulation results are provided for different number of users and antennas in the multiuser massive MIMO-PNC communications systems.