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UID:20260522T203623EDT-6956Tj5e7c@132.216.98.100
DTSTAMP:20260523T003623Z
DESCRIPTION:Enhancing Coverage and Capacity in Massive MIMO Wireless Commun
 ications Systems\n\nAbstract\n\n \n\nThe ITU’s 2030 (6G) framework focuses
  on enhancing terrestrial networks by integrating aerial communications fo
 r peak data rate\, ubiquitous coverage\, and sensing. In this regard\, mas
 sive multiple-input multiple-output (mMIMO) is considered as a key enablin
 g technology for large-scale deployments in beyond 5G mobile networks. By 
 utilizing a large number of antennas at base station (BS)\, mMIMO enables 
 state-of-the-art hybrid beamforming (HBF) and MIMO techniques that are pow
 erful tools for improving end-user experience and capacity in both uplink 
 and downlink. The two-stage HBF architecture is considered a promising sol
 ution in mMIMO systems to provide high data rates with much-reduced hardwa
 re complexity/cost. We aim to address a set of objectives\, including ante
 nna array configurations\, beamforming optimization\, interference suppres
 sion\, sum-rate maximization\, improved energy efficiency\, high self-inte
 rference suppression (SIS) quality\, and unmanned aerial vehicle (UAV) dep
 loyment to enhance both coverage and capacity in terrestrials and UAVs-ass
 isted terrestrial networks.\n\nFirst\, we study different array structures
 \, which can be used at BS to support both aerial and ground users. We con
 sider half-duplex communications and investigate how the system performanc
 e can vary based on (i) users’ angular location\, and (ii) number of users
 . In this regard\, we design HBF schemes based on users’ angular locations
  for both full-resolution and low-resolution hardware components to reduce
  multi-user (MU) interference.\n\nSecondly\, we explore full-duplex (FD) c
 ommunications. We aim to mitigate strong self-interference (SI) and maximi
 ze the total achievable rate based on over-the-air (OTA) measurements of t
 he SI channel measured in an anechoic chamber for a sub-6 GHz frequency ba
 nd. By using perturbation-based HBF for SI suppression and by exploiting s
 patial degrees-of-freedom (DoF) due to the use of large antenna arrays\, o
 ur objective is to bring the SI level down to the noise floor\, thus avoid
 ing the use of costly/complex analog cancellation circuits commonly used i
 n FD circuitry. We propose different HBF solutions\,\n\nwhich can suppress
  SI up to 80 dB by optimizing (i) variable gain-controllers\, (ii) perturb
 ing the directed beams\, and (iii) selecting the best Tx/Rx antennas.\n\nF
 inally\, we consider a UAV-assisted terrestrial system to enhance coverage
  and capacity by using UAVs as relays between BS and users. The UAV's mobi
 lity and flexibility add degrees of freedom\, mitigating signal fading and
  attenuation\, and extending coverage to obscured users. We explore a join
 t HBF approach that optimizes UAV location and power allocation\, sequenti
 ally designing HBF stages for the BS and UAV. A deep learning-based soluti
 on is developed\, using offline training and online prediction to maximize
  achievable rates while reducing runtime by 99%. We further extend this an
 alysis to multiple UAV systems for broader coverage and capacity in dynami
 c environments.\n
DTSTART:20241021T160000Z
DTEND:20241021T180000Z
LOCATION:Room 603\, McConnell Engineering Building\, CA\, QC\, Montreal\, H
 3A 0E9\, 3480 rue University
SUMMARY:PhD defence of Mobeen Mahmood – Enhancing Coverage and Capacity in 
 Massive MIMO Wireless Communications Systems
URL:/ece/channels/event/phd-defence-mobeen-mahmood-enh
 ancing-coverage-and-capacity-massive-mimo-wireless-communications-360455
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