eprintid: 10189679
rev_number: 10
eprint_status: archive
userid: 699
dir: disk0/10/18/96/79
datestamp: 2024-03-25 16:17:42
lastmod: 2024-03-25 16:17:42
status_changed: 2024-03-25 16:17:42
type: working_paper
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, AL
title: Block-Level MU-MISO Interference Exploitation Precoding: Optimal Structure and Explicit Duality
ispublished: pub
divisions: UCL
divisions: B04
divisions: C05
divisions: F46
keywords: MU-MISO, block-level precoding, symbol-level precoding, power minimization, SINR balancing, interference exploitation
note: This version is the version of record. 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: 2023-12-30
date_type: published
publisher: ArXiv
official_url: https://doi.org/10.48550/arXiv.2401.00166
oa_status: green
full_text_type: pub
language: eng
primo: open
primo_central: open_green
verified: verified_manual
elements_id: 2214912
lyricists_name: Masouros, Christos
lyricists_id: CMASO14
actors_name: Masouros, Christos
actors_id: CMASO14
actors_role: owner
full_text_status: public
publication: CoRR
volume: abs/24
place_of_pub: Ithaca, NY, USA
pages: 14
citation:        Yang, Junwen;    Li, Ang;    Liao, Xuewen;    Masouros, Christos;    Swindlehurst, AL;      (2023)    Block-Level MU-MISO Interference Exploitation Precoding: Optimal Structure and Explicit Duality.                    ArXiv: Ithaca, NY, USA.       Green open access   
 
document_url: https://discovery-pp.ucl.ac.uk/id/eprint/10189679/2/Masouros_2401.00166v1.pdf