吉林大学学报(工学版) ›› 2012, Vol. 42 ›› Issue (01): 213-217.

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Inference cancellation based on superposition modulation and adaptive power allocation

SHI Yu-chen, BAI Bao-ming   

  1. State Key Laboratory of ISN, Xidian University, Xi'an 710071, China
  • Received:2011-03-26 Online:2012-01-01 Published:2012-01-01

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Abstract:

A superposition modulation and adaptive power allocation algorithm was proposed, which can mitigate the inference between users and allocate the transmission power of each user adaptively in cooperative communications. Each user transmits its own signal while relays other users' signals, and the superposition modulation functions are designed jointly to form the reconstructed signals. The destination cancels the inference by the use of these functions. The reconstructed signal power of each user was adjusted to maximize the system capacity according to the channel variety. Simulation results of various network models show that the proposed algorithm can cancel the inference efficiently and reduce the probability of system error. Compared with the inference cancellation algorithm using fixed power allocation, this algorithm can achieve 1.5 dB bit error rate improvement and 5 dB frame error rate improvement respectively.

Key words: communication, inference cancellation, superposition modulation, adaptive power allocation, multi-user cooperation

CLC Number: 

  • TN911.22


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