Energy efficient resource allocation in orthogonal frequency division multiple access-based distributed antenna systems

In this study, the energy efficient joint antenna scheduling, subcarrier assignment and power allocation are studied in an orthogonal frequency division multiple access-based distributed antenna system. A new power consumption model is proposed to the consideration of the backhauling power, which is appropriate for the architecture of distributed antenna deployment and centralised signal processing. Under the maximum transmit power constraint per distributed antenna unit and the minimum rate requirement per user, the authors formulate a mixed-integer optimisation problem to maximise the system energy efficiency. Due to the intractability, at first, a heuristic antenna scheduling strategy is proposed based on the received pilot signal power strength. Then, the remaining joint subcarrier and power allocation is equivalently turned into a parametric problem, which is solved by employing the Lagrange duality method and the Dinkelbach's algorithm. Simulation results show that the authors’ proposed joint resource allocation algorithm greatly improves the system energy efficiency.

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