Achieving the Maximum Sum Rate Using D.C. Programming in Cellular Networks

Intercell interference is the major limitation to the performance of future cellular systems. Despite the joint detection and joint transmission techniques aiming at interference cancellation which suffer from the limited possible cooperation among the nodes, power allocation is a promising approach...

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Veröffentlicht in:	IEEE transactions on signal processing Jg. 60; H. 3; S. 1331 - 1341
Hauptverfasser:	Al-Shatri, H., Weber, T.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York, NY IEEE 01.03.2012 Institute of Electrical and Electronics Engineers
Schlagworte:	Applied sciences Approximation algorithms Branch-and-bound algorithm D.C. programming Detection, estimation, filtering, equalization, prediction Exact sciences and technology Information, signal and communications theory interference channel Interference channels Optimization power allocation Programming Resource management Signal and communications theory Signal to noise ratio Signal, noise Telecommunications and information theory Performance evaluation Mobile radiocommunication Lower bound Noise reduction Branch and bound method Wireless telecommunication interference channel Cell network Algorithm Power allocation Convex programming Optimization Joint detection Interference suppression D.C. programming Upper bound Simulation Telecommunication network Recursive method Signal processing Objective function Branch-and-bound algorithm Intercell interference
ISSN:	1053-587X, 1941-0476
Online-Zugang:	Volltext
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