Radio Resource Allocation for Multicarrier Low-Density-Spreading Multiple Access

Multicarrier low-density-spreading multiple access (MC-LDSMA) is a promising multiple access technique that enables near-optimal multiuser detection. In MC-LDSMA, each user's symbol is spread over a small set of subcarriers, and each subcarrier is shared by multiple users. The unique structure of MC-LDSMA makes the radio resource allocation more challenging compared with some well-known multiple access techniques. In this paper, the authors study the radio resource allocation for a single-cell MC-LDSMA system. First, the authors consider the single-user case and derive the optimal power allocation and subcarriers partitioning schemes. Then, by capitalizing on the optimal power allocation of the Gaussian multiple-access channel, the authors provide an optimal solution for MC-LDSMA that maximizes the users' weighted sum rate under relaxed constraints. Due to the prohibitive complexity of the optimal solution, suboptimal algorithms are proposed based on the guidelines inferred by the optimal solution. The performance of the proposed algorithms and the effect of subcarrier loading and spreading are evaluated through Monte Carlo simulations. Numerical results show that the proposed algorithms significantly outperform conventional static resource allocation, and MC-LDSMA can improve the system performance in terms of spectral efficiency and fairness in comparison with orthogonal frequency-division multiple access.

• Record URL:
  https://doi.org/10.1109/TVT.2016.2579168
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/00189545
• Supplemental Notes:
  • Copyright © 2017, IEEE.
• Authors:
  • Al-Imari, Mohammed
  • Imran, Muhammad Ali
  • Xiao, Pei
• Publication Date: 2017-3

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 2382-2393
• Serial:
  • IEEE Transactions on Vehicular Technology
  • Volume: 66
  • Issue Number: 3
  • Publisher: Institute of Electrical and Electronics Engineers (IEEE)
  • ISSN: 0018-9545
  • Serial URL: http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=25

Subject/Index Terms

• TRT Terms: Algorithms; Frequency division multiple access; Mobile communication systems; Monte Carlo method; Multi access systems; Programming (Mathematics); Resource allocation
• Subject Areas: Data and Information Technology; Highways;

Filing Info

• Accession Number: 01633436
• Record Type: Publication
• Files: TRIS
• Created Date: Apr 28 2017 10:44AM