◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Muhammad Karam Shehzad

2 papers here

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

author position
  • first author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.IT1
  • eess.SP1
ORCID 0000-0001-5830-1453
same name
  • Muhammad Karam Shehzad — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedDesign of an Efficient CSI Feedback Mechanism in Massive MIMO Systems: A Machine Learning Approach using Empirical Data

3 citations · 3 across the 2 of their papers we have counts for

collaborators

3 papers

cs.IT2024★ 8 cited

Massive MIMO CSI Feedback using Channel Prediction: How to Avoid Machine Learning at UE?

Muhammad Karam Shehzad, Luca Rose, Mohamad Assaad

In the literature, machine learning (ML) has been implemented at the base station (BS) and user equipment (UE) to improve the precision of downlink channel state information (CSI).…

cs.IT2022★ 3 cited

Design of an Efficient CSI Feedback Mechanism in Massive MIMO Systems: A Machine Learning Approach using Empirical Data

Muhammad Karam Shehzad, Luca Rose, Stefan Wesemann +2

Massive multiple-input multiple-output (mMIMO) regime reaps the benefits of spatial diversity and multiplexing gains, subject to precise channel state information (CSI) acquisition…

eess.SP2022

Real-Time Massive MIMO Channel Prediction: A Combination of Deep Learning and NeuralProphet

Muhammad Karam Shehzad, Luca Rose, Muhammad Furqan Azam +1

Channel state information (CSI) is of pivotal importance as it enables wireless systems to adapt transmission parameters more accurately, thus improving the system's overall perfor…

◍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.