Convex optimisation-based joint channel and power allocation scheme for orthogonal frequency division multiple access networks

This study concerns joint channel and power allocation scheme for multi-user orthogonal frequency division multiple access system. The author's highlight is margin adaptive (MA) resource allocation problem namely minimising the total transmit power of users with rate requirement constraints. MA...

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Veröffentlicht in:IET communications Jg. 9; H. 1; S. 28 - 32
Hauptverfasser: Liu, Peng, Li, Jiandong, Li, Hongyan, Meng, Yun
Format: Journal Article
Sprache:Englisch
Veröffentlicht: The Institution of Engineering and Technology 02.01.2015
Schlagworte:
Algorithms
Allocations
channel allocation
Channels
communication complexity
Complexity
computational complexity
Computer simulation
constraint theory
convex optimisation
convex programming
Frequency division multiple access
interior point method
joint channel and power allocation scheme
MA problem
margin adaptive resource allocation problem
Modulation
multiple access networks
multiuser orthogonal frequency division multiple access system
Networks
NP‐hard problem
OFDM modulation
polynomial‐time algorithm
power variables
radio access networks
rate requirement constraints
relative error bounds
relaxation scheme
joint channel and power allocation scheme
convex optimisation
frequency division multiple access
constraint theory
convex programming
interior point method
multiuser orthogonal frequency division multiple access system
communication complexity
margin adaptive resource allocation problem
radio access networks
NP-hard problem
multiple access networks
relative error bounds
rate requirement constraints
OFDM modulation
MA problem
channel allocation
relaxation scheme
polynomial-time algorithm
power variables
computational complexity
ISSN:1751-8628, 1751-8636
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Beschreibung
Zusammenfassung:This study concerns joint channel and power allocation scheme for multi-user orthogonal frequency division multiple access system. The author's highlight is margin adaptive (MA) resource allocation problem namely minimising the total transmit power of users with rate requirement constraints. MA is generally provable NP-hard; the typical methods are either to relax and round, or to fix the transmission mode of users (e.g. modulation and coding). Differently, they reorganise MA problem with only power variables left and design a novel relaxation scheme to enable the convexity. The polynomial-time algorithm-interior-point method-is employed to solve the relaxation problem and the theoretical complexity is further presented. Simulation results demonstrate that the author's scheme can provide high energy efficiency compared with the existing methods, 100% relative error bounds with respect to the optimum in most cases, and low computational complexity.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:1751-8628
1751-8636
DOI:10.1049/iet-com.2014.0409