Dynamic resource allocation in relay-aided celluar OFDMA systems [celluar read cellular]

In this paper, we consider the problem of joint bandwidth and power allocation for the relay aided orthogonal frequency division multiple access (OFDMA) system. A fractional frequency reuse (FFR) technique for interference mitigation in relay OFDMA cellular wireless networks is proposed based on a s...

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Vydáno v:CIICT 2012 : Symposium on ICT and Energy Efficiency and Workshop on Information Theory and Security : 4-5 July 2012 s. 51 - 55
Hlavní autoři: Song, Gaojun, Liu, Hongwu
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: Stevenage, UK IET 2012
The Institution of Engineering & Technology
Témata:
Electromagnetic compatibility and interference
Mobile radio systems
Modulation and coding methods
Multiple access communication
Other topics in statistics
frequency allocation
statistical knowledge
relay aided orthogonal frequency division multiple access system
relay-aided cellular OFDMA system
traffic demand
radiofrequency interference
fractional frequency reuse
resource allocation
OFDM modulation
wireless channels
relay OFDMA cellular wireless network
interference mitigation
globally optimal cell bandwidth allocation
interference suppression
frequency division multiple access
channel condition
dynamic resource allocation
power allocation
FFR technique
bandwidth allocation
distributed algorithm
distributed algorithms
user sub-carrier number
power minimization problem
statistical analysis
telecommunication traffic
cellular radio
user channel
ISBN:9781849195478, 1849195471
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Popis
Shrnutí:In this paper, we consider the problem of joint bandwidth and power allocation for the relay aided orthogonal frequency division multiple access (OFDMA) system. A fractional frequency reuse (FFR) technique for interference mitigation in relay OFDMA cellular wireless networks is proposed based on a statistical knowledge of the user channels. The resource allocation problem is formulated as a power minimization problem, subject to meeting the target rates of all users in the network. We develop a distributed algorithm to find the globally optimal cell bandwidth allocation, user sub-carrier numbers and power allocation dynamically based on traffic demands and channel conditions. Our numerical results show that the presented solution has better performance compared to the fixed bandwidth allocation methods.
Bibliografie:ObjectType-Article-1
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SourceType-Conference Papers & Proceedings-1
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ISBN:9781849195478
1849195471
DOI:10.1049/cp.2012.1861