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Performance Analysis Of Massive MIMO With Port Reduction
KTH, School of Electrical Engineering and Computer Science (EECS).
2022 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesisAlternative title
Prestandaanalys av massiv MIMO med portreduktion (Swedish)
Abstract [en]

In centralized radio access network (C-RAN) architecture, the base-band unit (BBU) is connected to one or more remote radio units (RRUs) via a fronthaul (FH) interface. Upgrading base station antennas in C-RAN to support massive multiple-input multiple-output (MIMO) technology can improve network spectral efficiency and largely boost the capacity of the 5G system. Those great benefits also introduce new challenges to the FH interface since the required FH capacity increases proportionally to the number of transceiver units (TXRUs) for traditional receiver processing at the BBU. To reduce the FH link load, different base-band splitting options between RRUs and BBU are considered in practical C-RAN networks. In this project, we investigate three beamforming algorithms (MRC, DFT and Enhanced) which are expected to reduce the number of streams on FH link, and evaluate their performance for single-user MIMO in different mobility scenarios via system-level simulations. The results show that we successfully reach the goal of reducing the number of streams to one-fourth the number of TXRUs meanwhile maintaining relatively good performance. Additionally, we observe that the Enhanced algorithm performs the best in majority of scenarios.

Abstract [sv]

I en centraliserad nätverksarkitektur för radioåtkomst är basbandsenheten ansluten till en eller flera fjärrradionheter via ett fronthaul-gränssnitt. Genom att uppgradera basstationsantennerna i C-RAN för att stödja massiv multipel input-multipel output-teknik kan man förbättra nätverkets spektraleffektivitet och till stor del öka kapaciteten i 5G-systemet. Dessa stora fördelar medför också nya utmaningar för FH-gränssnittet eftersom den nödvändiga FH-kapaciteten ökar proportionellt mot antalet sändare för traditionell mottagarbearbetning vid BBU. För att minska belastningen på FH-länken övervägs olika alternativ för uppdelning av basbandet mellan RRUs och BBU i praktiska C-RAN-nät. I det här projektet undersöker vi tre strålformningsalgoritmer (MRC, DFT och Enhanced) som förväntas minska antalet strömmar på FH-länken och utvärderar deras prestanda för single-user MIMO i olika mobilitetsscenarier med hjälp av simuleringar på systemnivå. Resultaten visar att vi lyckas uppnå målet att minska antalet strömmar till en fjärdedel av antalet TXRU:s samtidigt som vi behåller en relativt god prestanda. Dessutom kan vi konstatera att den förbättrade algoritmen presterar bäst i de flesta scenarier.

Place, publisher, year, edition, pages
Stockholm: KTH Royal Institute of Technology , 2022. , p. 50
Series
TRITA-EECS-EX ; 2022:880
Keywords [en]
5G NR, Massive MIMO, Fronthaul, Beamforming, Functional split
Keywords [sv]
5G NR, Massive MIMO, Fronthaul, Beamforming, funktionell uppdelning
National Category
Communication Systems Computer and Information Sciences
Identifiers
URN: urn:nbn:se:kth:diva-323527OAI: oai:DiVA.org:kth-323527DiVA, id: diva2:1732946
External cooperation
Ericsson AB
Subject / course
Computer Science
Presentation
2022-12-12, via Zoom https://kth-se.zoom.us/j/68520205736, Online, Stockholm, 10:00 (English)
Supervisors
Examiners
Available from: 2023-02-06 Created: 2023-01-31 Last updated: 2026-03-23Bibliographically approved

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