Cross-layer optimization for OFDM wireless networks-part II: algorithm development

We have established a theoretical framework for cross-layer optimization in orthogonal frequency division multiplexing (OFDM) wireless networks. In this paper, we focus on effective and practical algorithms for efficient and fair resource allocation in OFDM wireless networks. We have taken various c...

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Vydané v:IEEE transactions on wireless communications Ročník 4; číslo 2; s. 625 - 634
Hlavní autori: Guocong Song, Guocong Song, Ye Li, Ye Li
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Piscataway, NJ IEEE 01.03.2005
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:
Applied sciences
Collaborative work
Cross-layer optimization
Exact sciences and technology
Fading
Frequency diversity
Frequency division multiplexing
Heuristic algorithms
Low pass filters
multiuser diversity
OFDM
orthogonal frequency division multiplexing (OFDM) network
Resource management
System performance
Systems, networks and services of telecommunications
Telecommunications
Telecommunications and information theory
time diversity
Transmission and modulation (techniques and equipments)
Wireless networks
Performance evaluation
Multiple access
multiuser diversity
Utility function
Wireless telecommunication
Resource allocation
Equity
Subcarrier
Power allocation
Optimization
Search algorithm
Sorting
time diversity
Dynamic allocation
Algorithm performance
Simulation
Telecommunication network
Index Terms-Cross-layer optimization
Orthogonal frequency division multiplexing
Frequency diversity
Low pass filter
orthogonal frequency division multiplexing (OFDM) network
ISSN:1536-1276, 1558-2248
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Shrnutí:We have established a theoretical framework for cross-layer optimization in orthogonal frequency division multiplexing (OFDM) wireless networks. In this paper, we focus on effective and practical algorithms for efficient and fair resource allocation in OFDM wireless networks. We have taken various conditions into account and developed a variety of efficient algorithms, including sorting-search dynamic subcarrier assignment, greedy bit loading, and power allocation, as well as objective aggregation algorithms. We have also modified those algorithms for a certain type of nonconcave utility functions. To further improve performance by exploiting time diversity, a low-pass time filter can be easily incorporated into all of the algorithms. Simulation results have confirmed that the utility-based cross-layer optimization can significantly enhance the system performance and guarantee fairness. The gains come from multiuser diversity, frequency diversity, as well as time diversity. The fairness is automatically achieved by the behavior of marginal utility functions.
Bibliografia:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
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ISSN:1536-1276
1558-2248
DOI:10.1109/TWC.2004.843067