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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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Joint QoS multicast power / admission control and base station assignment: A geometric programming approach

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Συγγραφέας
Karipidis, E.; Sidiropoulos, N. D.; Tassiulas, L.
Ημερομηνία
2008
DOI
10.1109/SAM.2008.4606845
Λέξη-κλειδί
Acoustic microscopes
Amplitude modulation
Approximation algorithms
Base stations
Beamforming
Chemical sensors
Constrained optimization
Constraint theory
Heuristic algorithms
Heuristic methods
Heuristic programming
Missile bases
Multicasting
Nuclear propulsion
Parallel algorithms
Power control
Power quality
Sensor arrays
Sensors
Signal processing
Solutions
Wireless local area networks (WLAN)
Admission control
Approximate solutions
Assignment problem
Base-station
Centralized algorithms
Constrained optimization problems
Distributed algorithms
Feasible solutions
Geometric programming
Joint power control
Multicast
Multichannel signal processing
Np-hard
NP-hard problems
Numerica l results
Power controlled
QOS provisioning
Quality of service
Εμφάνιση Μεταδεδομένων
Επιτομή
The joint power control and base station (BS) assignment problem is considered under Quality-of-Service (QoS) constraints. If a feasible solution exists, the problem can be efficiently solved using existing distributed algorithms. Infeasibility is often encountered in practice, however, which brings up the issue of optimal admission control. The joint problem is NP-hard, yet important for QoS provisioning and bandwidth-efficient operation of existing and emerging cellular and overlay/underlay networks. Recognizing this, there have been several attempts to develop reasonable heuristics for joint admission and power control. This contribution takes a more disciplined approach. The joint problem is first concisely formulated as a constrained optimization problem, whose objective combines the BS assignment, admission, and power control components. The formulation also allows for multicasting. A geometric programming approximation is then developed, which forms the core of a heuristic, yet well-motivated centralized algorithm that generates approximate solutions to the original NP-hard problem. Numerical results against an enumeration baseline illustrate the merits of the approach. © 2008 IEEE.
URI
http://hdl.handle.net/11615/29140
Collections
  • Δημοσιεύσεις σε περιοδικά, συνέδρια, κεφάλαια βιβλίων κλπ. [19735]

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