Improved Channel Allocation for Multicarrier CDMA with Adaptive Frequency Hopping and Multiuser Detection

Abstract

Multicarrier code-division multiple access (MC-CDMA) system with adaptive frequency hopping (AFH) has attracted attention of researchers due to its excellent spectral efficiency. A suboptimal water-filling (WF) channel allocation algorithm was previously proposed for the reverse link of this system. To overcome the limitations of the WF algorithm in the presence of fading-induced near-far problem, a new allocation algorithm is proposed and demonstrated to improve performance when the conventional matched filter (MF) receiver is employed. Moreover, the allocation methods are extended to accommodate multiuser detectors (MUDs) at the receiver for MC-CDMA system with AFH. It is demonstrated that the combination of the improved allocation algorithm and the linear MUDs is very efficient in mitigating the fading and multi-access interference (MAI) for realistic mobile radio channels with correlated subcarriers, channel state information (CSI) mismatch, and imperfect power control. Numerical results show that the proposed adaptive transmission method has much greater system capacity than conventional non-adaptive MC direct-sequence (DS)-CDMA system.

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Document Details

Document Type
Technical Report
Publication Date
Aug 29, 2008
Accession Number
ADA500434

Entities

People

  • Alexandra Duel-hallen
  • Tao Jia

Organizations

  • North Carolina State University

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Adaptive Systems
  • Algorithms
  • Channel Allocation
  • Code Division Multiple Access
  • Computational Complexity
  • Contracts
  • Cross Correlation
  • Data Rate
  • Detectors
  • Doppler Effect
  • Frequency
  • Frequency Agility
  • Frequency Diversity
  • Gaussian Noise
  • Multiple Access
  • Network Protocols
  • Orthogonal Frequency Division Multiplexing

Fields of Study

  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Radio communications and signal processing.