4.7 Article

Resource Efficiency: A New Paradigm on Energy Efficiency and Spectral Efficiency Tradeoff

Journal

IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
Volume 13, Issue 8, Pages 4656-4669

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TWC.2014.2316791

Keywords

Green radio (GR); orthogonal frequency division multiple access (OFDMA); resource efficiency (RE); energy efficiency (EE); spectral efficiency (SE)

Funding

  1. Engineering and Physical Sciences Research Council of the U.K. [EP/J021768/1]
  2. Engineering and Physical Sciences Research Council [EP/J021768/1] Funding Source: researchfish
  3. EPSRC [EP/J021768/1] Funding Source: UKRI

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Spectral efficiency (SE) and energy efficiency (EE) are the main metrics for designing wireless networks. Rather than focusing on either SE or EE separately, recent works have focused on the relationship between EE and SE and provided good insight into the joint EE-SE tradeoff. However, such works have assumed that the bandwidth was fully occupied regardless of the transmission requirements and therefore are only valid for this type of scenario. In this paper, we propose a new paradigm for EE-SE tradeoff, namely the resource efficiency (RE) for orthogonal frequency division multiple access (OFDMA) cellular network in which we take into consideration different transmission-bandwidth requirements. We analyse the properties of the proposed RE and prove that it is capable of exploiting the tradeoff between EE and SE by balancing consumption power and occupied bandwidth; hence simultaneously optimizing both EE and SE. We then formulate the generalized RE optimization problem with guaranteed quality of service (QoS) and provide a gradient based optimal power adaptation scheme to solve it. We also provide an upper bound near optimal method to jointly solve the optimization problem. Furthermore, a low-complexity suboptimal algorithm based on a uniform power allocation scheme is proposed to reduce the complexity. Numerical results confirm the analytical findings and demonstrate the effectiveness of the proposed resource allocation schemes for efficient resource usage.

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