Essays about: "radio optimization"

Showing result 1 - 5 of 73 essays containing the words radio optimization.

  1. 1. Transformer Offline Reinforcement Learning for Downlink Link Adaptation

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Alexander Mo; [2023]
    Keywords : Link Adaptation; Transformers; Reinforcement Learning; Sequence Modelling; Decision Transformer; Deep Neural Networks; Radio Resource Management; Telecommunication; Länkanpassning; Transformers; Reinforcement Learning; Sekvensmodellering; Beslutsstöd; Djupa neurala nätverk; Dataresurshantering; Telekommunikation;

    Abstract : Recent advancements in Transformers have unlocked a new relational analysis technique for Reinforcement Learning (RL). This thesis researches the models for DownLink Link Adaptation (DLLA). READ MORE

  3. 2. Digital Front End Algorithms for Sub-Band Full Duplex

    University essay from Lunds universitet/Institutionen för elektro- och informationsteknik

    Author : Midhat Rizvi; Khaled Al-Khateeb; [2023]
    Keywords : Adjacent Channel Leakage Ratio; Bit Error Rate; Clipping and Filtering; Crest Factor Reduction; Digital front end; Digital Pre-Distortion Error Vector Magnitude; Frequency Division Duplex; Power Amplifier; Peak to Average Power Ratio; Peak Cancellation Crest Factor Reduction; Sub Band Full Duplex; Self-Interference Cancellation; Signal-to-Interference Noise Ratio; Signal-to-Noise Ratio; Turbo Clipping; Time Division Duplex; Technology and Engineering;

    Abstract : Sub-band full duplex is a new communication scheme technology, where a single frequency band is partitioned into sub-bands for downlink (DL) and up-link(UL) transmissions, and both can take place simultaneously. The idea behind the sub-band full duplex development is to improve the throughput, and coverage and reduce the latency of the UL communication by allowing the UL reception during the DL transmission. READ MORE

  4. 3. A Conjugate Residual Solver with Kernel Fusion for massive MIMO Detection

    University essay from Högskolan i Halmstad/Centrum för forskning om tillämpade intelligenta system (CAISR)

    Author : Ioannis Broumas; [2023]
    Keywords : MIMO; massive MIMO; GPU; CUDA; Software Defined Radio; SDR; MMSE; ZF; zero-forcing; parallel detection; iterative methods; conjugate residual; parallel computing; kernel fusion;

    Abstract : This thesis presents a comparison of a GPU implementation of the Conjugate Residual method as a sequence of generic library kernels against implementations ofthe method with custom kernels to expose the performance gains of a keyoptimization strategy, kernel fusion, for memory-bound operations which is to makeefficient reuse of the processed data. For massive MIMO the iterative solver is to be employed at the linear detection stageto overcome the computational bottleneck of the matrix inversion required in theequalization process, which is 𝒪(𝑛3) for direct solvers. READ MORE

  5. 4. Energy-Efficient Fixed-Coefficient FIR Filters for Millimeter-Wave Radios

    University essay from Lunds universitet/Institutionen för reglerteknik

    Author : Erik Lundell; Gustav Molin; [2023]
    Keywords : Technology and Engineering;

    Abstract : With the introduction of millimeter-wave antenna arrays in 5G base-stations and ever-increasing data volumes, the power consumption of the signal processing in digital radio systems has increased over the last decade. This, combined with increased cost and environmental awareness, has put focus on power optimization. READ MORE

  6. 5. Counterfactual and Causal Analysis for AI-based Modulation and Coding Scheme Selection

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Kun Hao; [2023]
    Keywords : Explainable Artificial Intelligence; Counterfactual; Causal Analysis; Shapley Additive Explanations; Modulation and Coding Scheme; Förklarlig artificiell intelligens; kontrafaktisk analys; orsaksanalys; Shapley tillsatsförklaringar; modulerings och kodningsschema;

    Abstract : Artificial Intelligence (AI) has emerged as a transformative force in wireless communications, driving innovation to address the complex challenges faced by communication systems. In this context, the optimization of limited radio resources plays a crucial role, and one important aspect is the Modulation and Coding Scheme (MCS) selection. READ MORE