R A Nadisanka Rupasinghe

Works (2)

Updated: July 5th, 2023 15:35

2018 journal article

Efficient Noise Variance Estimation Under Pilot Contamination for Massive MIMO Systems

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 67(4), 2982–2996.

By: J. Iscar*, I. Guvenc n , S. Dikmese  n & N. Rupasinghe n

author keywords: 5G; CRLB; massive MIMO; maximum likelihood; method of moments; MMSE channel estimation; noise variance estimation; pilot contamination
TL;DR: A novel maximum likelihood estimator for the noise variance at the receiver of massive MIMO systems considering practical impairments such as pilot contamination is derived and used to compute the minimum mean square error estimate of the channel. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, ORCID, NC State University Libraries
Added: August 6, 2018

2017 article

Directional Training and Fast Sector-based Processing Schemes for mmWave Channels

2017 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC).

By: Z. Li*, N. Rupasinghe n, O. Bursalioglu, C. Wang, H. Papadopoulos & G. Caire *

TL;DR: A class of multiuser MIMO schemes, which rely on uplink training from the user terminals, and on uplinks/downlink channel reciprocity, are presented, which can yield substantial spatial multiplexing and ergodic user-rates improvements with respect to their orthogonal-training counterparts. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: August 6, 2018

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