惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
L
LangChain Blog
WordPress大学
WordPress大学
MyScale Blog
MyScale Blog
The Cloudflare Blog
J
Java Code Geeks
Google DeepMind News
Google DeepMind News
Recent Announcements
Recent Announcements
Microsoft Azure Blog
Microsoft Azure Blog
Y
Y Combinator Blog
有赞技术团队
有赞技术团队
Last Week in AI
Last Week in AI
酷 壳 – CoolShell
酷 壳 – CoolShell
Martin Fowler
Martin Fowler
小众软件
小众软件
量子位
月光博客
月光博客
P
Proofpoint News Feed
IT之家
IT之家
腾讯CDC
博客园 - 三生石上(FineUI控件)
博客园 - 司徒正美
雷峰网
雷峰网
V
Visual Studio Blog

cs.IT updates on arXiv.org

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
A multi-level soft frequency reuse technique for wireless...
Xuezhi Yang · 2014-06-11 · via cs.IT updates on arXiv.org

A multi-level soft frequency reuse (ML-SFR) scheme and a resource allocation methodology are proposed for wireless communication systems in this letter. In the proposed ML-SFR scheme, there are 2N power density limit levels, achieving better interference pattern and further improving the cell edge and overall data rate, compared to the traditional 2-level SFR scheme. The detailed design of an 8-level SFR scheme is demonstrated. Numeral results show that the cell edge spectrum efficiency is increased to 5 times of that of reuse 1 and the overall spectrum efficiency is improved by 31%. ML-SFR can be utilized in the current 4G system and would be a candidate key technology for future 5G systems.