Energy Efficient Design in Wireless OFDMA

Miao, Guowang; Himayat, Nageen; Li, Ye; Bormann, David S.

doi:10.1109/icc.2008.622

Cited by 213 publications

(144 citation statements)

References 7 publications

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“…Among the previous study for energy-saving in resource allocation, some researchers focus on how to minimize transmit power under constraints such as user signal-to-interference-plus-noise ratio (SINR) threshold [15]. Some studies are trying to optimize the energy efficiency [21]. However, most prior work in this area has concentrated on traditional MIMO-OFDM systems.…”

Section: Related Studymentioning

confidence: 99%

Joint resource allocations for remote radio head deployments with coherent transmitter

Wang

Shi

et al. 2012

J Wireless Com Network

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To deal with the future high demands of wireless traffic and energy consumption, one type of heterogeneous deployments is to distribute the base station antennas throughout the entire cell, which is called remote radio head (RRH). In view of radio resource management, the joint resource allocation in broadband orthogonal frequency division multiple access RRH (OFDMA-RRH) has not been thoroughly studied, which includes the antenna port selection, subcarrier assignment and power allocation under the power constraints per antenna port. This article focuses on the downlink resource allocation in OFDMA-RRH, where the coherent transmitter with phase steering is used. The problem to maximize the system spectrum efficiency (SE) is formulated, and solved by a dual decomposition method, where the decomposed sub-problems in the dual domain are solved by analytic geometry. In the optimal solution, the system power is always exhaustively used. As another contribution, this article further proposes that in the optimal solution, there is a considerable part of system power which makes little contribution to the SE and thus should be saved. Specifically, the energy efficiency is analyzed for an individual subcarrier transmission. A proportional power allocation (PPA) method is proposed to achieve a local optimality for each subcarrier. By applying the PPA to every subcarrier in order to maximize the system SE, a new resource allocation problem is formulated and solved. Discussions are also presented for the proposed algorithms on the computational complexity and feasibility in multi-cell cases. Simulation results show that the optimal algorithm consumes all the system power and has good convergence. The algorithm applying PPA can effectively improves the system power efficiency while achieving the SE optimality.

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Section: Related Studymentioning

confidence: 99%

Joint resource allocations for remote radio head deployments with coherent transmitter

Wang

Shi

et al. 2012

J Wireless Com Network

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“…For SC-FDMA (as well as OFDMA), resource allocation can be categorized into two groups. The first is to minimize utilities, e.g., total transmit power or number of used subchannels, with the constraints of satisfying QoS requirements, e.g., achieving mini-mum data rate for each UE, see e.g., [36,37,38,39]. The second aims to maximize utilities, e.g., system throughput, with the constraints of limited power as well as QoS requirements, see e.g., [40,41].…”

Section: Utility Optimization In Sc-fdma Systemsmentioning

confidence: 99%

From Orthogonal to Non-orthogonal Multiple Access: Energy- and Spectrum-Efficient Resource Allocation

Lei¹

2016

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The rapid pace of innovations in information and communication technology (ICT) industry over the past decade has greatly improved people's mobile communication experience. This, in turn, has escalated exponential growth in the number of connected mobile devices and data traffic volume in wireless networks. Researchers and network service providers have faced many challenges in providing seamless, ubiquitous, reliable, and high-speed data service to mobile users. Mathematical optimization, as a powerful tool, plays an important role in addressing such challenging issues.This dissertation addresses several radio resource allocation problems in 4G and 5G mobile communication systems, in order to improve network performance in terms of throughput, energy, or fairness. Mathematical optimization is applied as the main approach to analyze and solve the problems. Theoretical analysis and algorithmic solutions are derived. Numerical results are obtained to validate our theoretical findings and demonstrate the algorithms' ability of attaining optimal or near-optimal solutions.Five research papers are included in the dissertation. In Paper I, we study a set of optimization problems of consecutive-channel allocation in single carrier-frequency division multiple access (SC-FDMA) systems. We provide a unified algorithmic framework to optimize the channel allocation and improve system performance. The next three papers are devoted to studying energy-saving problems in orthogonal frequency division multiple access (OFDMA) systems. In Paper II, we investigate a problem of jointly minimizing energy consumption at both transmitter and receiver sides. An energy-efficient scheduling algorithm is developed to provide optimality bounds and near-optimal solutions. Next in Paper III, we derive fundamental properties for energy minimization in load-coupled OFDMA networks. Our analytical results iii suggest that the maximal use of time-frequency resources can lead to the lowest network energy consumption. An iterative power adjustment algorithm is developed to obtain the optimal power solution with guaranteed convergence. In Paper IV, we study an energy minimization problem from the perspective of scheduling activation and deactivation of base station transmissions. We provide mathematical formulations and theoretical insights. For problem solution, a column generation approach, as well as a bounding scheme are developed. Finally, towards to 5G communication systems, joint power and channel allocation in nonorthogonal multiple access (NOMA) is investigated in Paper V in which an algorithmic solution is proposed to improve system throughput and fairness. iv Populärvetenskaplig SammanfattningDen snabba utvecklingen inom informations-och kommunikations teknikområdet har avsevärt förbättrat människors upplevelser av mobilkommunikation. Detta i sin tur har lett till en exponentiellökning av antalet anslutna mobila enheter och mängden datatrafik i mobila nätverk. Forskare och nätverksoperatörer har stått inför många utmaningar för att ...

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“…Recently, much efforts have been spent in developing energy-efficient resource allocation solutions for link-level Orthogonal Frequency Division Multiplexing (OFDM) systems [7]- [9]. Energy-efficient link level performance was studied for flat fading [6] and frequency-selective fading channels [7], [8]. The authors of [9] developed OFDM water-filling power allocation scheme that maximizes energy efficiency.…”

Section: Introductionmentioning

confidence: 99%

Energy-Efficient Subcarrier-and-Bit Allocation in Multi-User OFDMA Systems

Haider

Wang

Haas

et al. 2012

2012 IEEE 75th Vehicular Technology Conference (VTC Spring)

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Abstract-Energy efficiency is becoming increasingly important for wireless communication systems in order to minimize carbon footprint of wireless networks and to increase the battery life of mobile terminals. The spectral-energy efficiency trade-off is of primary significance to determine how much energy per bit is required in a wireless communication system to achieve a specific spectral efficiency. In this paper, we study energyefficient resource allocation scheme for Orthogonal FrequencyDivision Multiple Access (OFDMA) systems with multiple users. The trade-off between spectral and energy efficiencies is analyzed under the constraint of maintaining the fairness among users. We first formulate the energy-efficient optimization problem as an integer fractional programming. We then apply an iterative fractional method to simplify the problem to integer linear programming (ILP) problem. Simulation results demonstrate that the impact of user's quality of service (QoS) is minor on the energy efficiency when a large spectral efficiency is required.

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Energy Efficient Design in Wireless OFDMA

Cited by 213 publications

References 7 publications

Joint resource allocations for remote radio head deployments with coherent transmitter

Joint resource allocations for remote radio head deployments with coherent transmitter

From Orthogonal to Non-orthogonal Multiple Access: Energy- and Spectrum-Efficient Resource Allocation

Energy-Efficient Subcarrier-and-Bit Allocation in Multi-User OFDMA Systems

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