J
Jayasinghe Keeth Saliya
Researcher at Nokia
Publications - 19
Citations - 294
Jayasinghe Keeth Saliya is an academic researcher from Nokia. The author has contributed to research in topics: MIMO & Channel state information. The author has an hindex of 7, co-authored 19 publications receiving 235 citations. Previous affiliations of Jayasinghe Keeth Saliya include University of Oulu.
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Proceedings ArticleDOI
Channel Coding for Ultra-Reliable Low-Latency Communication in 5G Systems
Michał Sybis,Krzysztof Wesolowski,Jayasinghe Keeth Saliya,Venkatkumar Venkatasubramanian,Vladimir Vukadinovic +4 more
TL;DR: Investigation of block error rate (BLER) performance and computational complexity of candidate channel coding schemes for ultra-reliable low latency communication (URLLC) in 5G reveals that polar and LDPC codes outperform turbo codes for short block sizes, while the opposite is true for medium block sizes of 200 bits.
Journal ArticleDOI
Secure Beamforming Design for Physical Layer Network Coding Based MIMO Two-Way Relaying
TL;DR: In this letter, a secure beamforming scheme for physical layer network coding (PNC)-based multiple-input multiple-output (MIMO) two-way relaying system is proposed and an algorithm is proposed to solve the problem.
Journal ArticleDOI
Linear Precoder-Decoder Design of MIMO Device-to-Device Communication Underlaying Cellular Communication
TL;DR: This paper proposes linear precoder-decoder schemes for a multiple-input multiple-output (MIMO) underlay device-to-device (D2D) communication system by considering two D2D modes: two-way relaying based D1D and direct D2 D.
Proceedings ArticleDOI
Distributing CRC Bits to Aid Polar Decoding
TL;DR: This paper proposes a variant of polar codes that provides significant coding gain in the regime of short blocks and enables early termination of decoding processes.
Proceedings ArticleDOI
Physical layer security for relay assisted MIMO D2D communication
TL;DR: This paper presents a secure beamforming design to prevent eavesdropping on multiple-input multiple-output (MIMO) device-to-device (D2D) communication, and discusses the convergence of the proposed algorithms, impact of the number of eavesdropper on the performance, and the SINR distributions at eavesdroppers.