Energy-Efficient Resource Allocation in OFDMA Networks

Xiong, Cong; Li, G. Y.; Zhang, Shunqing; Chen, Yan; Xu, Shugong

doi:10.1109/tcomm.2012.082812.110639

Cited by 236 publications

(227 citation statements)

References 16 publications

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“…However, noise-limited regime is considered, and ICI is neglected. Moreover, energy-efficient resource allocation for OFDMA systems is investigated in [16], where generalized and individual energy efficiencies are defined for the downlink and the uplink of the OFDMA system, respectively. Properties of the energy efficiency objective function are studied, 95 then a low-complexity suboptimal algorithm is introduced to reduce the computational burden of the optimal solution.…”

Section: State-of-the-art Contributionsmentioning

confidence: 99%

Centralized versus decentralized multi-cell resource and power allocation for multiuser OFDMA networks

Yassin

Lahoud

Khawam

et al. 2017

Computer Communications

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The exponential growth in the usage of mobile networks along with the increasing number of User Equipments (UEs) are exacerbating the scarcity of frequency resources. Dense frequency reuse on the downlink of multiuser Orthogonal Frequency Division Multiple Access networks leads to severe Inter-Cell Interference (ICI) problems. Resource and power allocation techniques are required to alleviate the harmful impact of ICI. Contrarily to the existing techniques that consider single-cell resource and power allocation problem without taking ICI into account, we formulate a centralized downlink multi-cell joint resource and power allocation problem. The objective is to maximize system throughput while guaranteeing throughput fairness between UEs. We demonstrate that the joint problem is separable into two independent problems: a resource allocation problem and a power allocation problem. Lagrange duality theory is used to solve the centralized power allocation problem. We also tackle the resource and power allocation problem differently by addressing it in a decentralized manner. We propose a non-cooperative downlink power allocation approach based on game theory. The players are the base stations, and each base station seeks to maximize its own utility function. We investigate the convergence of our proposed centralized and decentralized approaches, and we * Corresponding author Email address: mohamad.yassin@usj.edu.lb (Mohamad Yassin) February 27, 2017 compare their performance with that of state-of-the-art approaches. Preprint submitted to Elsevier Computer Communications

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Section: State-of-the-art Contributionsmentioning

confidence: 99%

Centralized versus decentralized multi-cell resource and power allocation for multiuser OFDMA networks

Yassin

Lahoud

Khawam

et al. 2017

Computer Communications

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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%

“…Some algorithmic solutions are proposed to separately reduce the energy consumption at the transmitter [37] or at the receiver [67] by optimizing resource allocation. Also, many research works investigate resource allocation approaches for a single-cell OFDMA system to improve energy efficiency, e.g., see [39,68].…”

Section: Energy-efficient Scheduling In Ofdma 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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“…Previous work has largely focused on the optimization for spectral efficiency (SE) [16][17][18], however, the optimal point of SE is not necessarily equivalent to that of EE [19], so the optimization of EE under different scenarios is another significant problem we should consider. In the past, EE optimization of direct links was analyzed in [4] and [20]. In [4], the EE is optimized in frequency-selective channels using multi-carriers, where the constraints of sum rate and total power consumption including circuit power were considered.…”

mentioning

confidence: 99%

“…In [4], the EE is optimized in frequency-selective channels using multi-carriers, where the constraints of sum rate and total power consumption including circuit power were considered. In [20], the downlink and uplink of orthogonal frequency-division multiplexing access (OFDMA) networks with QoS and fairness issues were considered. Yet, we know that the methods that allocate resources to optimize EE in direct links are not the same as those relay based links.…”

mentioning

confidence: 99%

Low‐complexity energy‐efficient resource allocation for delay‐tolerant two‐way orthogonal frequency‐division multiplexing relays

Jin

Guo

et al. 2016

IET Communications

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Abstract-Energy-efficient wireless communication is becoming increasingly important, especially forwireless devices with a limited battery life and cannot be recharged on a frequent basis. In this paper, a bit allocation algorithm to minimize the total energy consumption for transmitting a bit successfully is proposed for a two-way orthogonal frequency-division multiplexing (OFDM) relay system, whilst considering the constraints of quality-of-service (QoS) and total transmit power. Our scenario is fit for the delay-tolerant services delivered through low-complexity devices in application areas of IoT and M2M communications. Unlike existing bit allocation schemes, which maximize the energy efficiency by measuring "bits-per-Joule" with fixed bidirectional total bit rates constraint and no power limitation, our scheme adapts the bidirectional total bit rates and their allocation on each subcarrier with a total transmit power constraint.In order to do so, we propose a new idea to decompose the optimization problem. The problem is solved in two general steps. The first step allocates the bit rates on each subcarrier when the total bit rate of each user is fixed. In the second step, the Lagrangian multipliers are used as the optimization variants, and the dimension of the variant optimization is reduced from 2N to 2, where N is the number of subcarriers. We also prove that the optimal point is on the bounds of the feasible region, thus the optimal solution could be

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Energy-Efficient Resource Allocation in OFDMA Networks

Cited by 236 publications

References 16 publications

Centralized versus decentralized multi-cell resource and power allocation for multiuser OFDMA networks

Centralized versus decentralized multi-cell resource and power allocation for multiuser OFDMA networks

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

Low‐complexity energy‐efficient resource allocation for delay‐tolerant two‐way orthogonal frequency‐division multiplexing relays

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