eprintid: 10195960
rev_number: 11
eprint_status: archive
userid: 699
dir: disk0/10/19/59/60
datestamp: 2024-08-20 09:40:06
lastmod: 2025-02-20 12:26:16
status_changed: 2024-08-20 09:40:06
type: article
metadata_visibility: show
sword_depositor: 699
creators_name: Yang, Junwen
creators_name: Li, Ang
creators_name: Liao, Xuewen
creators_name: Masouros, Christos
creators_name: Swindlehurst, A Lee
title: Block-Level MU-MISO Interference Exploitation Precoding: Optimal Structure and Explicit Duality
ispublished: pub
divisions: UCL
divisions: B04
divisions: F46
keywords: Precoding, Interference, Symbols, Signal to noise ratio,
Vectors, Optimization, Minimization
note: This version is the author-accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
abstract: This paper investigates block-level interference exploitation (IE) precoding for multi-user multiple-input single-output (MU-MISO) downlink systems. To overcome the need for symbol-level IE precoding to frequently update the precoding matrix, we propose to jointly optimize all the precoders or transmit signals within a transmission block. The resultant precoders only need to be updated once per block, and while not necessarily constant over all the symbol slots, we refer to the technique as block-level slot-variant IE precoding. Through a careful examination of the optimal structure and the explicit duality inherent in block-level power minimization (PM) and signal-to-interference-plus-noise ratio (SINR) balancing (SB) problems, we discover that the joint optimization can be decomposed into subproblems with smaller variable sizes. As a step further, we propose block-level slot-invariant IE precoding by adding a structural constraint on the slot-variant IE precoding to maintain a constant precoder throughout the block. A novel linear precoder for IE is further presented, and we prove that the proposed slot-variant and slot-invariant IE precoding share an identical solution when the number of symbol slots does not exceed the number of users. Numerical simulations demonstrate that the proposed precoders achieve a significant complexity reduction compared against benchmark schemes, without sacrificing performance.
date: 2024-11
date_type: published
publisher: Institute of Electrical and Electronics Engineers (IEEE)
official_url: https://doi.org/10.1109/JIOT.2024.3438569
oa_status: green
full_text_type: other
language: eng
primo: open
primo_central: open_green
verified: verified_manual
elements_id: 2306184
doi: 10.1109/JIOT.2024.3438569
lyricists_name: Masouros, Christos
lyricists_id: CMASO14
actors_name: Flynn, Bernadette
actors_id: BFFLY94
actors_role: owner
full_text_status: public
publication: IEEE Internet of Things Journal
volume: 11
number: 21
pagerange: 35519-35535
issn: 2327-4662
citation:        Yang, Junwen;    Li, Ang;    Liao, Xuewen;    Masouros, Christos;    Swindlehurst, A Lee;      (2024)    Block-Level MU-MISO Interference Exploitation Precoding: Optimal Structure and Explicit Duality.                   IEEE Internet of Things Journal , 11  (21)   pp. 35519-35535.    10.1109/JIOT.2024.3438569 <https://doi.org/10.1109/JIOT.2024.3438569>.       Green open access   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/10195960/1/Masouros_2401.00166v1.pdf