rexus的博客

优化已在最近的通信设计和网络系统中广泛使用。这项工作的主要障碍在于实际产生的许多优化问题的不凸性系统。为了解决此问题，我们注意到在通信和网络系统中遇到的大多数非凸问题都表现出单调性或隐藏的单调性结构。系统地使用单调性将大大减轻获得问题的全局最优解。本文提供了有关单调优化的简洁易懂的介绍，包括配方技巧和求解算法。通过几个应用示例，我们将说明建模技术和各种场景下单调优化的算法细节。用这种有前途的技术，现在可以解决许多以前困难的问题高效解决。有了这个专着，我们希望激发新的扩大单调应用范围的研究活动通信和网络系统的优化。

代数数论对编码设计的影响越来越大并适用于许多不同的编码应用，例如单天线衰落信道以及最近的MIMO系统。在单天线衰落信道上已经完成了扩展工作，代数格码已被证明是一种有效的工具。总体框架在过去十年中得到解决，许多现在基于代数数论的显式代码构造可用。这项工作的目的是提供有关代数的概述瑞利衰落信道的晶格代码设计以及教程代数数论简介。

pdf格式的python cheat sheet，详细介绍了python及其程序包的常用操作，包含Numpy, Pandas, Matplotlib, Keras, Scipy, Seaborn, Scikit-Learn, Jupyter Notebook, Bokeh等

The International Telecommunications Union (ITU) has stipulated 2020 to be the target year of standardising future 5G mobile networks. Although the detailed technical approaches to implementing 5G mobile networks remain uncertain at the time of this writing, several breakthrough 5G techniques stand out such as massive MIMO and millimetre-wave (mmWave) communications. This book aims to be one of the first comprehensive books to reveal the enabling techniques underpinning next-generation 5G networks and to address the challenges and opportunities brought by 5G mobile communications. Specifically, the book is divided into three major parts: Part I Overview of 5G Networks, Part II Transmission and Design Techniques for 5G Networks, and Part III Networking Techniques and Applications for 5G Networks.

Algorithm2e is an environment for writing algorithms in L ATEX2e. An algorithm is defined as a floating object like figures. It provides macros that allow you to create different sorts of key words, thus a set of predefined key words is given.

遗传算法的介绍，遗传算法的应用，新的搜索优化技术