◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

K. Kiasaleh

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • last author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • eess.SP3
  • cs.IT1

identity via Semantic Scholar / OpenAlex

collaborators

4 papers

cs.IT2021

Performance Improvement of Dimmable OFDM-Visible Light Communication using Subcarrier Index Modulation and Reed Solomon Encoding

Nima Taherkhani, Kamran Kiasaleh

In this paper, we propose a new subcarrier index modulation scheme for orthogonal frequency division multiplexing (OFDM), which incorporates the Reed-Solomon (RS) encoding in a vis…

eess.SP2019

Sum Rate Capacity of MIMO HetNet Systems in the Presence of Channel Estimation Error

Esha Bangar, Nima Taherkhani, Kamran Kiasaleh

In this paper, the impact of channel estimation error (CEE) on the sum-rate capacity of multiple-input-multiple-output (MIMO) heterogeneous networks (HetNets) is investigated. It i…

eess.SP2019

Analysis and Comparison of the LDPC and Reed Solomon Encodings in Mitigating the Impact of Clipping Noise in OFDM-Based VLC

Nima Taherkhani, Merve Apalak, Kamran Kiasaleh

The linear error-correcting codes are known to be well suited for battling and correcting the burst errors caused by noise in the wireless data transmission system. However, differ…

eess.SP2019

Statistical Modelling of the Clipping Noise in OFDM-based Visible Light Communication System

Nima Taherkhani, Kamran Kiasaleh

This paper analyses the statistics of the clipping noise in orthogonal frequency-division-multiplex (OFDM) based visible light Communication systems. The clipped signal is generall…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.