On the Energy Efficiency Optimality of OFDMA for SISO-OFDM Downlink System

Shi, Qingjiang; Xu, Weiqiang; Li, Dapeng; Wang, Yaming; Gu, Xiuquan; Li, Wenshu

doi:10.1109/lcomm.2013.020413.122898

Cited by 26 publications

(18 citation statements)

References 12 publications

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“…where ξ k ≥ 1 and P C k ≥ 0 are constants accounting for the inefficiency of the power amplifier and the circuit power consumption at terminal k, respectively [14], [15], [28], [29].…”

Section: A Description Of the Concerned Scenariomentioning

confidence: 99%

“…In this paper, we assume that (9) is always feasible as in [4]- [9], [15]- [20]. In addition, to avoid the issue of infeasibility, it is necessary to introduce admission control in addition to the subcarrier assignment and power allocation into the formulation, but this is beyond the scope of this paper.…”

Section: B Problem Formulationmentioning

confidence: 99%

“…A sum energy efficiency maximization problem was addressed in [14], where the authors proposed a heuristic scheduling metric to reject users when the problem becomes infeasible. Under the power budget constraints, [15] revealed that OFDMA is the optimal access scheme for single-input single-output OFDM downlink systems in terms of energy efficiency. The authors in [16], [17] studied the tradeoff between energy efficiency and spectral efficiency.…”

Section: Introductionmentioning

confidence: 99%

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Energy-Efficient Subcarrier Assignment and Power Allocation in OFDMA Systems With Max-Min Fairness Guarantees

Sheng

Tan

et al. 2015

IEEE Trans. Commun.

106

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In next-generation wireless networks, energy efficiency optimization needs to take individual link fairness into account. In this paper, we investigate a max-min energy efficiency-optimal problem (MEP) to ensure fairness among links in terms of energy efficiency in OFDMA systems. In particular, we maximize the energy efficiency of the worst-case link subject to the rate requirements, transmit power, and subcarrier assignment constraints. Due to the nonsmooth and mixed combinatorial features of the formulation, we focus on low-complexity suboptimal algorithms design. Using a generalized fractional programming theory and the Lagrangian dual decomposition, we first propose an iterative algorithm to solve the problem. We then devise algorithms to separate the subcarrier assignment and power allocation to further reduce the computational cost. Our simulation results verify the convergence performance and the fairness achieved among links by comparing the MEP with the existing algorithms. We also study a tradeoff between the network energy efficiency and fairness, similarly to the tradeoff between the sum rates and fairness.Index Terms-Energy efficiency, subcarrier assignment, power allocation, max-min fairness, OFDMA.

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“…where ξ k ≥ 1 and P C k ≥ 0 are constants accounting for the inefficiency of the power amplifier and the circuit power consumption at terminal k, respectively [14], [15], [28], [29].…”

Section: A Description Of the Concerned Scenariomentioning

confidence: 99%

Section: B Problem Formulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Energy-Efficient Subcarrier Assignment and Power Allocation in OFDMA Systems With Max-Min Fairness Guarantees

Sheng

Tan

et al. 2015

IEEE Trans. Commun.

106

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“…In fact, unlike the conclusions in [5]- [7], even if the total transmission power is fixed, it is still not equivalent to the conventional throughput maximization problem since the number of active subcarriers associated with the signal processing power also needs to be optimized, which would further complicate the analysis of the problem.…”

Section: Ee =mentioning

confidence: 99%

“…In the downlink, the energy-efficient resource allocation with quality-of-service (QoS) requirements is studied in [5], but the optimal solution can only be obtained through the exhaustive search for all the possible subcarrier assignments. In [7], the optimality of the OFDMA for the energy efficiency is proved under the inter-user interference in the system. The authors in [10] study the energy efficiency of a point to point OFDM system without involving the subcarrier assignment while the authors in [11] focus on energy savings in the BS side through BS cooperation in multicell OFDMA systems, where the power consumption in the receiver side and the signal processing power in terms of active subcarriers are not optimized.…”

Section: Introductionmentioning

confidence: 99%

Resource Allocation for Joint Transmitter and Receiver Energy Efficiency Maximization in Downlink OFDMA Systems

Chen

Tao

et al. 2015

IEEE Trans. Commun.

100

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Abstract-This paper investigates the joint transmitter and receiver optimization for the energy efficiency (EE) in orthogonal frequency-division multiple-access (OFDMA) systems. We first establish a holistic power dissipation model for OFDMA systems, including the transmission power, signal processing power, and circuit power from both the transmitter and receiver sides, while existing works only consider the one side power consumption and also fail to capture the impact of subcarriers and users on the system EE. The EE maximization problem is formulated as a combinatorial fractional problem that is NP-hard. To make it tractable, we transform the problem of fractional form into a subtractive-form one by using the Dinkelbach transformation and then propose a joint optimization method, which leads to the asymptotically optimal solution. To reduce the computational complexity, we decompose the joint optimization into two consecutive steps, where the key idea lies in exploring the inherent fractional structure of the introduced individual EE and the system EE. In addition, we provide a sufficient condition under which our proposed two-step method is optimal. Numerical results demonstrate the effectiveness of proposed methods, and the effect of imperfect channel state information is also characterized.Index Terms-Energy efficiency, OFDMA, joint transmitter and receiver optimization, resource allocation. Manuscript

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