End-to-end energy-efficient resource allocation in device-to-device communication underlaying cellular networks

  • Quansheng X
  • Hong J
  • Xi L
 et al. 
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Abstract

A proposed resource allocation (RA) scheme is given to device-to-device (D2D) communication underlaying cellular networks from an end-to-end energy-efficient perspective, in which, the end-to-end energy consumptions were taken into account. Furthermore, to match the practical situations and maximize the energy-efficiency (EE), the resource units (RUs) were used in a complete-shared pattern. Then the energy-efficient RA problem was formulated as a mixed integer and non-convex optimization problem, extremely difficult to be solved. To obtain a desirable solution with a reasonable computation cost, this problem was dealt with two steps. Step 1, the RU allocation policy was obtained via a greedy search method. Step 2, after obtaining the RU allocation, the power allocation strategy was developed through quantum-behaved particle swarm optimization (QPSO). Finally, simulation was presented to validate the effectiveness of the proposed RA scheme.

Author-supplied keywords

  • D2D communication
  • energy-efficiency
  • mixed integer and non-convex optimization problem
  • resource allocation

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Authors

  • Xu Quansheng

  • Ji Hong

  • Li Xi

  • Xiong Danni

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