An Optimization Approach to Joint Cell and Power Allocation in Multicell Networks

• Published in: 2011 IEEE International Conference on Communication Workshop pp. 1 - 6
• Main Authors: Fallgren, Mikael, Oddsdottir, Hildur AEsa, Fodor, Gabor
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.06.2011
• Series: IEEE International Conference on Communications
• Subjects: Base stations; Cell selection; Fairness constraints; Fairness measures; Gain; Heuristic solutions; Interference; Joints; Max-min; Multi-cell networks; Multicell; Multicell system; Numerical results; Opportunistic communications; Optimization; Optimization approach; Optimization task; Polynomials; Power allocations; Radio resources; Resource allocation; Resource allocation strategies; Resource management; Signal to noise ratio; Single cell systems; System throughput; Throughput; Trade off; Transmission power; Utility functions
• ISBN: 9781612849546; 1612849547; 1612849555; 9781612849553
• ISSN: 2164-7038
• DOI: 10.1109/iccw.2011.5963591

Since the seminal paper by Knopp and Humblet that showed that the system throughput of a single cell system is maximized if only one terminal transmits at a time, there has been a large interest in opportunistic communications and its relation to various fairness measures. On the other hand, in multicell systems there is a need to allocate transmission power such that some overall utility function is maximized typically under fairness constraints. Furthermore, in multicell systems the degree of resource allocation freedom includes the serving cell selection that allows for load balancing and thereby the efficient use of radio resources. In this paper we formulate the joint serving cell selection (link selection) and power allocation problem as an optimization task whose purpose is to maximize either the minimum user throughput or the multicell sum throughput. Both the max-min and the max-throughput problems are non-polynomial hard and we therefore propose heuristic solution approaches. We present numerical results that give new and valuable insights into the trade off between fair and sum throughput optimal joint resource allocation strategies.