kth.sePublications KTH
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Joint Uplink-Downlink Fronthaul Bit Allocation in Fronthaul-Limited Massive MU-MIMO Systems
KTH, School of Electrical Engineering and Computer Science (EECS), Communication Systems.ORCID iD: 0000-0003-3560-2901
KTH, School of Electrical Engineering and Computer Science (EECS), Communication Systems.ORCID iD: 0000-0002-5954-434X
KTH, School of Electrical Engineering and Computer Science (EECS), Information Science and Engineering.ORCID iD: 0000-0001-6630-243X
2026 (English)In: ICC 2026 - IEEE International Conference on Communications, Proceedings, Institute of Electrical and Electronics Engineers (IEEE) , 2026Conference paper, Published paper (Refereed)
Abstract [en]

This paper optimizes the fronthaul bit allocation in massive multi-user multiple-input multiple-output (MU-MIMO) systems operating with limited-capacity fronthaul links. We consider an advanced antenna system (AAS) controlled by a centralized baseband unit (BBU). In the AAS, multiple antenna elements together with their radio units are integrated into a single unit. In this setup, a key challenge is allocating fronthaul bits between uplink channel state information (CSI) quantization and downlink precoding matrix quantization. We formulate the problem of maximizing the sum spectral efficiency (SE) for a given fronthaul capacity. We develop an SE expression for this scenario based on the hardening bound. We compute the expression in closed form for maximum ratio transmission, which reveals the relative impact of the two types of quantization distortion. We then formulate a bit split optimization problem and propose an algorithm that exactly solves it. Numerical results demonstrate how the relative importance of assigning bits to CSI and precoding varies depending on the signal-to-noise ratio.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2026.
Keywords [en]
Bit allocation, Fronthaul quantization, hardening bound, massive MU-MIMO
National Category
Communication Systems Telecommunications Signal Processing
Identifiers
URN: urn:nbn:se:kth:diva-386501DOI: 10.1109/ICC59461.2026.11588121Scopus ID: 2-s2.0-105045371797OAI: oai:DiVA.org:kth-386501DiVA, id: diva2:2089869
Conference
2026 IEEE International Conference on Communications, ICC 2026, Glasgow, United Kingdom, May 24-28 2026
Note

Part of ISBN 979-8-3195-4209-0

Not dublivate with DiVA 2048956

QC 20260805

Available from: 2026-08-05 Created: 2026-08-05 Last updated: 2026-08-05Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Khorsandmanesh, YasamanBjörnson, EmilJaldén, Joakim

Search in DiVA

By author/editor
Khorsandmanesh, YasamanBjörnson, EmilJaldén, Joakim
By organisation
Communication SystemsInformation Science and Engineering
Communication SystemsTelecommunicationsSignal Processing

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 7 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf