Essays about: "Baseband processing"
Showing result 1 - 5 of 32 essays containing the words Baseband processing.
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1. Acceleration of Massive MIMO algorithms for Beyond 5G Baseband processing
University essay from Högskolan i Halmstad/Akademin för informationsteknologiAbstract : As the world becomes more globalised, user equipment such as smartphones and Internet of Things devices require increasingly more data, which increases the demand for wireless data traffic. Hence, the acceleration of next-generational networks (5G and beyond) focuses mainly on increasing the bitrate and decreasing the latency. READ MORE
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2. Beyond 5G Baseband Processing on Epiphany Architecture
University essay from Högskolan i Halmstad/Akademin för informationsteknologiAbstract : Massive Multiple Input Multiple Output (mMIMO) is a key technology for wireless communications. The concept behind the technology is using a large number of antennas at the base station which servers multiple user equipment simultaneously. READ MORE
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3. FPGA Co-Processing in Software-Defined Radios
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The Internet of Things holds great promises for the future. In the smart cities of tomorrow, wireless connectivity of everyday objects is deemed essential in ensuring efficient and sustainable use of vital, yet limited resources such as water, electricity and food. However, radio communication at the required scale does not come easily. READ MORE
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4. Virtualizing LoRa baseband functionalities to the Edge
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Traditional network architecture design of Low Power Wide Area Networks (LPWAN) suffer from their inability to dynamically scale resources based on the incoming traffic and involve manual procedures for capacity upgrades. There is a need to develop a cloud-native architecture where the gateway hardware performs signal detection while baseband processing is virtualized in the Edge, provisioning for dynamic scaling of resources. READ MORE
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5. Implementing and Comparing Static and Machine-Learning scheduling Approaches using DPDK on an Integrated CPU/GPU
University essay from Linköpings universitet/Programvara och systemAbstract : As 5G is getting closer to being commercially available, base stations processing this traffic must be improved to be able to handle the increase in traffic and demand for lower latencies. By utilizing the hardware smarter, the processing of data can be accelerated in, for example, the forwarding plane where baseband and encryption are common tasks. READ MORE