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Theoretical Limits of Language Model Alignment $f$-Divergence Regularized RLHF: Two Tales of Sampling and Unified Analyses A Unified Measure-Theoretic View of Diffusion, Score-Based, and Flow Matching Generative Models When Can Voting Help, Hurt, or Change Course? Exact Structure of Binary Test-Time Aggregation When Semantic Communication Meets Queueing: Cross-Layer Latency and Task Fidelity Optimization Convexity in Disguise: A Theoretical Framework for Nonconvex Low-Rank Matrix Estimation Conditional Diffusion Under Linear Constraints: Langevin Mixing and Information-Theoretic Guarantees Sharp Capacity Thresholds in Linear Associative Memory: From Winner-Take-All to Listwise Retrieval Expert Routing for Communication-Efficient MoE via Finite Expert Banks Contextual Memory-Enhanced Source Coding for Low-SNR Communications Realizable Bayes-Consistency for General Metric Losses Leveraging Code Automorphisms for Improved Syndrome-Based Neural Decoding A Hierarchical Sampling Framework for bounding the Generalization Error of Federated Learning Dueling DDQN-Based Adaptive Multi-Objective Handover Optimization for LEO Satellite Networks The Causal Description Gap: Information-Theoretic Separations Across Pearl's Hierarchy Optimization of CV-QKD Under Practical Constraints Benchmarking Wireless Representations: High-Dimensional vs. Compressed Embeddings for Efficiency and Robustness Real-Time Text Transmission via LLM-Based Entropy Coding over Fixed-Rate Channels SwiftChannel: Algorithm-Hardware Co-Design for Deep Learning-Based 5G Channel Estimation Evolving Token Communication with Parametric Memory Network Remote Action Generation: Remote Control with Minimal Communication The (Marginal) Value of a Search Ad: An Online Causal Framework for Repeated Second-price Auctions Stabilizing Private LASSO under Heterogeneous Covariates via Anisotropic Objective Perturbation Linear-Readout Floors and Threshold Recovery in Computation in Superposition Soft Graph Diffusion Transformer for MIMO Detection Hierarchical Federated Learning for Networked AI: From Communication Saving to Architecture-Aware Design Exponential families from a single KL identity MIFair: A Mutual-Information Framework for Intersectionality and Multiclass Fairness Diffusion-OAMP for Joint Image Compression and Wireless Transmission Decoupled Descent: Exact Test Error Tracking Via Approximate Message Passing
Latency Analysis for IMT-2020 Radio Interface Technology ...
A. Phani Kumar Reddy, Navin Kumar, Sri Sai Apoorva Tirumalasetty · 2020-09-26 · via cs.IT updates on arXiv.org

The International Telecommunication Union (ITU) is currently deliberating on the finalization of candidate radio interface technologies (RITs) for IMT-2020 (International Mobile Telecommunications) suitability. The candidate technologies are currently being evaluated and after a couple of ITU-Radiocommunication sector (ITU-R) working party (WP) meetings, they will become official. Although, products based on the candidate technology from 3GPP (5G new radio (NR)) is already commercial in several operator networks, the ITU is yet to officially declare it as IMT-2020 qualified. Along with evaluation of the 3GPP 5G NR specifications, our group has evaluated many other proponent technologies. 3GPP entire specifications were examined and evaluated through simulation using Matlab and using own developed simulator which is based on the Go-language. The simulator can evaluate complete 5G NR performance using the IMT-2020 evaluation framework. In this work, we are presenting latency parameters which has shown some minor differences from the 3GPP report. Especially, for time division duplexing (TDD) mode of operation, the differences are observed. It might be possible that the differences are due to assumptions made outside the scope of the evaluation. However, we considered the worst case parameter. Although, the report is submitted to ITU but it is also important for the research community to understand why the differences and what were the assumptions in scenario for which differences are observed.