A Resource Allocator for the Uplink of Multi-Cell OFDMA Systems

• Published in: IEEE transactions on wireless communications Vol. 6; no. 8; pp. 2807 - 2812
• Main Authors: Moretti, M., Todini, A.
• Format: Journal Article
• Language: English
• Published: Piscataway, NJ IEEE 01.08.2007; Institute of Electrical and Electronics Engineers; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Applied sciences; Channel allocation; Computer simulation; Equipments and installations; Exact sciences and technology; Intersymbol interference; Iterative algorithms; Linear programming; Mobile radiocommunication systems; Modulation; Multiple access; Multiple access interference; OFDM; Performance degradation; Radio spectrum management; Radiocommunications; Resource allocation; Resource management; Robustness; Systems, networks and services of telecommunications; Telecommunications; Telecommunications and information theory; Transmission and modulation (techniques and equipments); Wireless communication; Performance evaluation; Mobile radiocommunication; Multiple access; Wireless telecommunication; Resource allocation; Frequency division multiple access; Linear programming; Cell network; Algorithm; Land mobile radio; Degradation; Signal interference; Simulation; Land mobile radio cellular systems; Modulation; Heuristic method; Orthogonal frequency division multiplexing; orthogonal frequency division multiple access (OFDMA); Robustness; Resource management; Uplink
• ISSN: 1536-1276; 1558-2248
• DOI: 10.1109/TWC.2007.06106

We propose a simple distributed radio resource allocation algorithm for an OFDMA cellular system, which aims at minimizing the overall transmitted power subject to a rate constraint for each user. In order to reduce the problem complexity we use a single modulation; simulations show that the resulting performance degradation is negligible when the number of users is high enough. Moreover, we propose a simple distributed heuristic that, by reducing the rate constraints, steers the multicell system towards an stable resource allocation. Results show that the proposed system exhibits a great robustness to the destructive effects of multiple access interference.