基于qos的资源分配与收发器优化

IF 2 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
M. Schubert, H. Boche
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引用次数: 118

摘要

控制和减少多用户干扰是无线通信中的一个基本问题。为了提高频谱效率和提供个性化的服务质量(QoS),需要联合优化功率分配和可能的接收和发送策略。这通常会导致复杂和难以处理的问题形式。在文献中有许多例子,其中利用问题的特殊结构来解决该问题的特殊情况(例如,多用户波束成形或CDMA)。因此,需要有一个通用的理论,它可以应用于许多实际的QoS度量,如速率、延迟、误码率等。这些指标都与信号干扰比(SIR)或信号干扰加噪声比(SINR)有关。这就导致了SIR和SINR的平衡问题,而这是通信理论中许多问题的基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
QoS-Based Resource Allocation and Transceiver Optimization
The control and reduction of multiuser interference is a fundamental problem in wireless communications. In order to increase the spectral efficiency and to provide individual quality-of-service (QoS), it is required to jointly optimize the power allocation together with possible receive and transmit strategies. This often leads to complex and difficult-to-handle problem formulations. There are many examples in the literature, where the special structure of the problem is exploited in order to solve special cases of this problem (e.g. multiuser beamforming or CDMA). So it is desirable to have a general theory, which can be applied to many practical QoS measures, like rates, delay, BER, etc. These measures can all be related to the signal-to-interference ratio (SIR) or the signal-to-interference-plus-noise ratio (SINR). This leads to the problem of SIR and SINR balancing, which is fundamental for many problems in communication theory.
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来源期刊
Foundations and Trends in Communications and Information Theory
Foundations and Trends in Communications and Information Theory COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-
CiteScore
7.90
自引率
0.00%
发文量
6
期刊介绍: Foundations and Trends® in Communications and Information Theory publishes survey and tutorial articles in the following topics: - Coded modulation - Coding theory and practice - Communication complexity - Communication system design - Cryptology and data security - Data compression - Data networks - Demodulation and Equalization - Denoising - Detection and estimation - Information theory and statistics - Information theory and computer science - Joint source/channel coding - Modulation and signal design - Multiuser detection - Multiuser information theory
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