5G Techniques: Proof-of-concept Testbed
Author
Sainz Rojas, Manuel
Term
4. term
Education
Publication year
2015
Submitted on
2015-05-23
Pages
174
Abstract
Datatrafikken vokser kraftigt, mens det trådløse frekvensspektrum er begrænset og deles af mange brugere. Det gør det udfordrende at designe effektiv 5G-radioadgang. MIMO-systemer (flere antenner til at sende og modtage samtidigt) kan øge den spektrale effektivitet, men kræver flere antenner og giver mere kompleksitet i modtageren. Derfor bruges en forbehandling i senderen kaldet precoding, som forudtilpasser signalet til radiokanalen for at forbedre dækning og rækkevidde i miljøer med fading, hvor signalstyrken varierer på grund af refleksioner og forhindringer. Denne afhandling undersøger ydeevnen af MIMO-kanalmatrix-precoding. Vi har opbygget et praktisk testmiljø: et digitalt kommunikationssystem baseret på USRP-radiohardware, styret med softwaredefineret radio (SDR) i LabVIEW. Derudover vurderer vi i et realistisk scenarie, hvor effektivt precoding kan øge netværkets gennemstrømning. Vores resultater viser, at precoding udnytter den rumlige diversitet fra flere antenner og dermed opnår højere kanalkapacitet.
Mobile data traffic is growing rapidly, while the wireless spectrum is limited and shared by many users. This makes it challenging to design efficient 5G radio access. Multi-input multi-output (MIMO) systems—using multiple antennas to send and receive at the same time—can improve spectral efficiency, but they also add hardware cost and receiver complexity. To address this, a transmitter-side step called precoding pre-adjusts the signal to the radio channel, improving coverage and range in fading environments where signal strength fluctuates due to reflections and obstacles. This thesis studies the performance of MIMO channel-matrix precoding techniques. We built a practical testbed: a digital communication system using USRP radio hardware controlled with software-defined radio (SDR) in LabVIEW. We also evaluated, in a real-world scenario, how effectively precoding can boost network throughput. Our results show that precoding leverages the spatial diversity of multiple antennas, achieving higher channel capacity.
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