activity
20172021
most citedAdaptive Detection of Structured Signals in Low-Rank Interference

15 citations · 25 across the 24 of their papers we have counts for

collaborators

34 papers

eess.SP2021

Precoder Design for Physical-Layer Security and Authentication in Massive MIMO UAV Communications

Sung Joon Maeng, Yavuz Yapıcı, İsmail Güvenç +2

Supporting reliable and seamless wireless connectivity for unmanned aerial vehicles (UAVs) has recently become a critical requirement to enable various different use cases of UAVs.…

eess.SP2020

Power Allocation for Fingerprint-Based PHY-Layer Authentication with mmWave UAV Networks

Sung Joon Maeng, Yavuz Yapıcı, İsmail Güvenç +2

Physical layer security (PLS) techniques can help to protect wireless networks from eavesdropper attacks. In this paper, we consider the authentication technique that uses fingerpr…

cs.IT2020

mmWave Channel Estimation via Approximate Message Passing with Side Information

Dror Baron, Cynthia Rush, Yavuz Yapici

This work considers millimeter-wave channel estimation in a setting where parameters of the underlying mmWave channels are varying dynamically over time and there is a single drift…

cs.IT2020

Max-Min Fair Beamforming for Cooperative Multigroup Multicasting with Rate-Splitting

Ahmet Zahid Yalcin, Yavuz Yapici

The demand of massive access to the same multimedia content at the same time is one major challenge for next-generation cellular networks in densely-packed urban areas. The content…

cs.IT2020

Multiuser Precoding for Sum-Rate Maximization in Relay-Aided mmWave Communications

Ahmet Zahid Yalcin, Yavuz Yapici

Relay-aided transmission is envisioned as a key strategy to combat severe path loss and link blockages emerging as unique challenges in millimeter-wave (mmWave) communications. Thi…

eess.SP2020

Precoder Design for mmWave UAV Communications with Physical Layer Security

Sung Joon Maeng, Yavuz Yapıcı, İsmail Güvenç +2

The integration of unmanned aerial vehicles (UAVs) into the terrestrial cellular networks is envisioned as one key technology for next-generation wireless communications. In this w…

cs.IT2020

Physical Layer Security for NOMA Transmission in mmWave Drone Networks

Yavuz Yapici, Nadisanka Rupasinghe, Ismail Guvenc +2

The non-orthogonal multiple access (NOMA) and millimeter-wave (mmWave) transmission enable the unmanned aerial vehicle (UAV) assisted wireless networks to provide broadband connect…

eess.SP2019

Off-Grid Aware Spatial Covariance Estimation in mmWave Communications

Chethan Kumar Anjinappa, Ali Cafer Gurbuz, Yavuz Yapici +1

This work investigates the problem of spatial covariance matrix estimation in a millimeter-wave (mmWave) hybrid multiple-input multiple-output (MIMO) system with an emphasis on the…

cs.IT2019★ 1 cited

Low-Resolution Limited-Feedback NOMA for mmWave Communications

Yavuz Yapici, Ismail Guvenc, Huaiyu Dai

The spectrum-efficient millimeter-wave (mmWave) communications has recently attracted much attention as a viable solution to spectrum crunch problem. In this work, we propose a nov…

eess.SP2019

Dynamic Interference Management for UAV-Assisted Wireless Networks

Ali Rahmati, Seyyedali Hosseinalipour, Yavuz Yapici +4

The deployment of unmanned aerial vehicles (UAVs) is proliferating as they are effective, flexible and cost-efficient devices for a variety of applications ranging from natural dis…

eess.SP2019

Hybrid Precoding for mmWave Massive MIMO with One-Bit DAC

Sung Joon Maeng, Yavuz Yapıcı, Ismail Guvenc +2

Hybrid beamforming is key to achieving energy-efficient 5G wireless networks equipped with massive amount of antennas. Low-resolution data converters bring yet another degree of fr…

eess.SP2019

Channel Estimation in mmWave Hybrid MIMO System via Off-Grid Dirichlet Kernels

Chethan Kumar Anjinappa, You Zhou, Yavuz Yapici +2

In this paper, we tackle channel estimation in millimeter-wave hybrid multiple-input multiple-output systems by considering off-grid effects. In particular, we assume that spatial…

eess.SP2019

Off-Grid Aware Channel and Covariance Estimation in mmWave Networks

Chethan Kumar Anjinappa, Ali Cafer Gurbuz, Yavuz Yapici +1

The spectrum scarcity at sub-6 GHz spectrum has made millimeter-wave (mmWave) frequency band a key component of the next-generation wireless networks. While mmWave spectrum offers…

eess.SP2019

RSS-Based Detection of Drones in the Presence of RF Interferers

Priyanka Sinha, Yavuz Yapici, Ismail Guvenc +2

Drones will have extensive use cases across various commercial, government, and military sectors, ranging from delivery of consumer goods to search and rescue operations. To mainta…

eess.SP2019

Coverage Enhancement for NLOS mmWave Links Using Passive Reflectors

Wahab Khawaja, Ozgur Ozdemir, Yavuz Yapici +3

The future 5G networks are expected to use millimeter wave (mmWave) frequency bands to take advantage of large unused spectrum. However, due to the high path loss at mmWave frequen…

eess.SP2019

Impact of 3D Antenna Radiation Patterns on TDOA-Based Wireless Localization of UAVs

Priyanka Sinha, Yavuz Yapici, Ismail Guvenc

Next big commercial applications of drones require to fly the drone beyond the visual line of sight (BVLOS). This inevitable ability to fly BVLOS will also necessitate the ability…

cs.NI2019

Interference Avoidance in UAV-Assisted Networks: Joint 3D Trajectory Design and Power Allocation

Ali Rahmati, Seyyedali Hosseinalipour, Yavuz Yapici +4

The use of the unmanned aerial vehicle (UAV) has been foreseen as a promising technology for the next generation communication networks. Since there are no regulations for UAVs dep…

cs.IT2019

NOMA for VLC Downlink Transmission with Random Receiver Orientation

Yavuz Yapici, Ismail Guvenc

Visible light communications (VLC) is an emerging technology with a promise of viable solution to spectrum crunch problem in conventional radio frequency (RF) bands. In this work,…

eess.SP2019

Energy Efficiency of RSMA and NOMA in Cellular-Connected mmWave UAV Networks

Ali Rahmati, Yavuz Yapıcı, Nadisanka Rupasinghe +3

Cellular-connected unmanned aerial vehicles (UAVs) are recently getting significant attention due to various practical use cases, e.g., surveillance, data gathering, purchase deliv…

cs.IT2019★ 1 cited

SLNR Based Precoding for One-Bit Quantized Massive MIMO in mmWave Communications

Yavuz Yapıcı, Sung Joon Maeng, İsmail Güvenç +2

Massive multiple-input multiple-output (MIMO) is a key technology for 5G wireless communications with a promise of significant capacity increase. The use of low-resolution data con…

cs.NI2018

Load-Based On/Off Scheduling for Energy-Efficient Delay-Tolerant 5G Networks

Haluk Celebi, Yavuz Yapici, Ismail Guvenc +1

Dense deployment of small cells is seen as one of the major approaches for addressing the traffic demands in next-generation 5G wireless networks. The energy efficiency, however, b…

cs.IT2018

Low-Complexity Adaptive Beam and Channel Tracking for Mobile mmWave Communications

Yavuz Yapici, Ismail Guvenc

In this paper, we study low-complexity algorithms for beam and channel tracking for millimeter-wave (mmWave) communications. In particular, the least mean squares (LMS) and bidirec…

cs.IT2018

Enhancing Physical Layer Security for NOMA Transmission in mmWave Drone Networks

Nadisanka Rupasinghe, Yavuz Yapici, Ismail Guvenc +2

Physical layer security (PLS) is critically important for emerging wireless communication networks to maintain the confidentiality of the information of legitimate users. In this p…

eess.SP2018★ 6 cited

Indoor Coverage Enhancement for mmWave Systems with Passive Reflectors: Measurements and Ray Tracing Simulations

Wahab Khawaja, Ozgur Ozdemir, Yavuz Yapici +3

The future 5G networks are expected to use millimeter wave (mmWave) frequency bands, mainly due to the availability of large unused spectrum. However, due to high path loss at mmWa…