Low Complexity Resource Allocation for Massive Carrier Aggregation

Stelios Stefanatos, Fotis Foukalas, Theodoros A. Tsiftsis

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

Optimal resource allocation (RA) in massive carrier aggregation scenarios is a challenging combinatorial optimization problem whose dimension is proportional to the number of users, component carriers (CCs), and OFDMA resource blocks per CC. Toward scalable, near-optimal RA in massive CA settings, an iterative RA algorithm is proposed for joint assignment of CCs and OFDMA resource blocks to users. The algorithm is based on the principle of successive geometric programming approximations and has a complexity that scales only linearly with the problem dimension. Although its derivation is based on a relaxed formulation of the RA problem, the algorithm is shown to converge to integer-valued RA variables with probability 1 under mild assumptions on the distribution of user utilities. Simulations demonstrate improved performance of the proposed algorithm compared to commonly considered heuristic RA procedures of comparable complexity.

Original languageEnglish
Article number7948781
Pages (from-to)9614-9619
Number of pages6
JournalIEEE Transactions on Vehicular Technology
Volume66
Issue number10
DOIs
Publication statusPublished - Oct 1 2017

Keywords

  • Convergence
  • geometric programming
  • iterative algorithm
  • massive carrier aggregation
  • resource allocation

ASJC Scopus subject areas

  • Automotive Engineering
  • Aerospace Engineering
  • Applied Mathematics
  • Electrical and Electronic Engineering

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