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  •   Ιδρυματικό Αποθετήριο Πανεπιστημίου Θεσσαλίας
  • Επιστημονικές Δημοσιεύσεις Μελών ΠΘ (ΕΔΠΘ)
  • Δημοσιεύσεις σε περιοδικά, συνέδρια, κεφάλαια βιβλίων κλπ.
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Ιδρυματικό Αποθετήριο Πανεπιστημίου Θεσσαλίας
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Carrier assignment algorithms for OFDM-based multi-carrier wireless networks with channel adaptation

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Συγγραφέας
Koutsopoulos, I.; Tassiulas, L.
Ημερομηνία
2008
DOI
10.1109/TCOMM.2008.050567
Λέξη-κλειδί
Carrier allocation
Multi-carrier systems
Optimization
Wireless OFDM systems
Adaptive modulation
Carrier communication
Communication channels (information theory)
Computational methods
Frequency allocation
Frequency division multiplexing
Heuristic methods
Linearization
Modulation
Multicarrier modulation
Orthogonal frequency division multiplexing
Telecommunication systems
Wireless networks
Assignment algorithms
Carrier assignments
Channel adaptations
Distributed implementations
Feasible solutions
Frame rates
Frequency selectivities
Iterative heuristics
Lagrangian relaxations
Linear programming problems
Minimal resources
Multiuser
Neighboring cells
Performance bounds
Propagation channels
Time slots
User receivers
Civil aviation
Εμφάνιση Μεταδεδομένων
Επιτομή
We study carrier assignment in a single-cell multiuser OFDM multi-carrier system so as to satisfy user rate requirements with minimal resources. Different users experience different quality in different carriers due to frequency selectivity of users' propagation channels and due to non-co-located user receivers that perceive different interference from neighboring cells across carriers. We study a static instance of the problem, specified by user carrier qualities and rate requirements. Adaptive modulation at the transmitter differentiates carriers for each user. In good quality carriers, the user satisfies per-frame rate requirements with few slots (or equivalently it satisfies its perslot rate requirements with small occupied time slot portion). We study integral and fractional assignment, where a user is assigned to only one or several carriers. Fractional assignment is formulated as a linear programming problem. For integral assignment, we introduce two classes of iterative heuristics that use carrier reassignment to users and user substitution in carriers respectively and may be viewed as resulting from corresponding optimal fractional assignment algorithms. We use Lagrangian relaxation to obtain performance bounds and show that the two classes of heuristics arise from two relaxations. Our approach identifies efficient feasible solutions and is amenable to distributed implementation. © 2008 IEEE.
URI
http://hdl.handle.net/11615/29980
Collections
  • Δημοσιεύσεις σε περιοδικά, συνέδρια, κεφάλαια βιβλίων κλπ. [19735]

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