Normal view MARC view ISBD view

Resource allocation in multiuser multicarrier wireless systems

by Wong, Ian C; Evans, Brian (jt. auth.).
Publisher: New York: Springer, 2008Description: xvii, 122p.ISBN: 9780387749440.Subject(s): Communications engineering -telecommunications | Mathematics & science | WAP (wireless) technology | Technology & Engineering | Technology & Industrial Arts | Computers -Information Technology | Engineering - Electrical & Electronic | Linear Programming | TelecommunicationsSummary: Many algorithms have already been proposed in the past to solve the problem of allocating resources in a multi-user multicarrier wireless system. Due to the difficulty of the problem, most of the previous work in this area has focused on developing suboptimal heuristics without performance guarantees. Resource Allocation in Multiuser Multicarrier Wireless Systems proposes a unified algorithmic framework based on dual optimization techniques that have complexities that are linear in the number of subcarriers and users, and that achieve negligible optimality gaps in standards-based numerical simulations. Adaptive algorithms based on stochastic approximation techniques are also proposed, which are shown to achieve similar performance with even much lower complexity. Key Features With theoretical derivations, practical algorithms, and complexity analysis this book makes an accessible reference for researchers and industry practioners alike All the algorithms proposed are clearly presented in concise block diagrams allowing the reader to implement these algorithms quite easily in the software of their choice The results of each section of the book are based on the 3GPP-LTE standard – a fourth generation cellular standard of timely importance Presents chapter on the least complex algorithms that still achieve stochastically optimal results without the need for channel distribution information The section on future work presents several relevant avenues for further investigation of interest to researchers in the field  
Tags from this library: No tags from this library for this title.
    average rating: 0.0 (0 votes)
Item type Location Call number Status Date due Barcode Item holds
Books
Central Library AIOU Islamabad

Allama Iqbal Open University

Central Library

General Stacks
621 WOR (Browse shelf) Available 111327
Total holds: 0

HB

Many algorithms have already been proposed in the past to solve the problem of allocating resources in a multi-user multicarrier wireless system. Due to the difficulty of the problem, most of the previous work in this area has focused on developing suboptimal heuristics without performance guarantees. Resource Allocation in Multiuser Multicarrier Wireless Systems proposes a unified algorithmic framework based on dual optimization techniques that have complexities that are linear in the number of subcarriers and users, and that achieve negligible optimality gaps in standards-based numerical simulations. Adaptive algorithms based on stochastic approximation techniques are also proposed, which are shown to achieve similar performance with even much lower complexity. Key Features With theoretical derivations, practical algorithms, and complexity analysis this book makes an accessible reference for researchers and industry practioners alike All the algorithms proposed are clearly presented in concise block diagrams allowing the reader to implement these algorithms quite easily in the software of their choice The results of each section of the book are based on the 3GPP-LTE standard – a fourth generation cellular standard of timely importance Presents chapter on the least complex algorithms that still achieve stochastically optimal results without the need for channel distribution information The section on future work presents several relevant avenues for further investigation of interest to researchers in the field  

Eng

There are no comments for this item.

Log in to your account to post a comment.

Copyright © 2023, All rights reserved
AIOU, Islamabad Pakistan.
Ph#: | 051-9250040, 051-9571682, 051-9571695 Fax: | 051-9250146 Email| documentdelivery@aiou.edu.pk Web| ”Central Library”