Energy-spectral efficiency tradeoff for heterogeneous networks with QoS constraints

Coskun, Cemil Can; Ayanoğlu, Ender

doi:10.1109/icc.2017.7997007

Cited by 15 publications

(8 citation statements)

References 19 publications

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“…Improving EE, provides the means for longer battery life and is required not only to prolong the battery lifetime of end-user smartphones but primarily to address the domain of sensor network deployments where targeted battery lifetimes are as long as a decade. Efficient resource allocation schemes focused on energy consumption minimization and energy conservation have been investigated in [14], [15], [16], [17], [18]. In [14] and [17], the energy and spectral efficiency trade-offs are studied in multicell heterogeneous wireless networks.…”

Section: Related Workmentioning

confidence: 99%

On optimizing resource allocation: A comparative performance evaluation of resource allocation strategies in 5G

Dobruna,

Fazliu,

Humar

et al. 2024

Preprint

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Resource allocation continues to be a challenging issue in communication networks and its complexity is continuously increasing with the densification of the networks. Resource allocation strategies are numerous and varied, and the goal is to improve any or a number of targets, such as spectral and energy efficiency and overall throughput, among others. In this paper, selected algorithms for resource allocation in wireless communication networks are analyzed and simulations are executed to compare and highlight the importance of the way the resource algorithms are implemented to achieve efficient usage of the available spectrum. In addition, the performance of selected algorithms is evaluated in a multi-cell heterogeneous network and compared to eICIC, a widely-used interference mitigation technique used by communication networks. The results suggest that there is no single algorithm that visibly outperforms other candidates in terms of all performance criteria. Instead, their efficiency is always a consequence of a strategic choice of goals, and the targeted parameters are optimized at a price. Thus, the development and implementation of resource allocation algorithms must follow concrete usage scenarios and needs of the network and depend heavily on network performance requirements and parameters criteria.

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Section: Related Workmentioning

confidence: 99%

On optimizing resource allocation: A comparative performance evaluation of resource allocation strategies in 5G

Dobruna,

Fazliu,

Humar

et al. 2024

Preprint

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“…The scheme achieved an improvement in SE while minimizing channel circuit power, but it did not consider the impact of the user's data rate, which resulted in inefficient resource utilization. To alleviate this problem, Reference [18] proposed SET for a heterogeneous network with QoS constraints. This scheme aimed to simultaneously maximize SE and EE while satisfying the data rate requirement of each user.…”

Section: Related Workmentioning

confidence: 99%

Energy and Spectral Efficiency Balancing Algorithm for Energy Saving in LTE Downlinks

2021

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In wireless network communication environments, Spectral Efficiency (SE) and Energy Efficiency (EE) are among the major indicators used for evaluating network performance. However, given the high demand for data rate services and the exponential growth of energy consumption, SE and EE continue to elicit increasing attention in academia and industries. Consequently, a study of the trade-off between these metrics is imperative. In contrast with existing works, this study proposes an efficient SE and EE trade-off algorithm for saving energy in downlink Long Term Evolution (LTE) networks to concurrently optimize SE and EE while considering battery life at the Base Station (BS). The scheme is formulated as a Multi-objective Optimization Problem (MOP) and its Pareto optimal solution is examined. In contrast with other algorithms that prolong battery life by considering the idle state of a BS, thereby increasing average delay and energy consumption, the proposed algorithm prolongs battery life by adjusting the initial and final states of a BS to minimize the average delay and the energy consumption. Similarly, the use of an omni-directional antenna to spread radio signals to the user equipment in all directions causes high interference and low spatial reuse. We propose using a directional antenna instead of an omni-directional antenna by transmitting signals in one direction which results in no or low interference and high spatial reuse. The proposed scheme has been extensively evaluated through simulation, where simulation results prove that the proposed scheme is efficiently able to decrease the average response delay, improve SE, and minimize energy consumption.

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“…In these systems, the traffic is composed of either DS minimum throughput guarantee or DT data rate, which can be served as best effort manner. For DS‐traffic systems in other works,() the problem is to optimize the spectral efficiency or energy efficiency while satisfying the minimum throughput of each DS user. Ngo et al investigated a spectral‐efficient scheme that maximizes the total throughput of all femtocells under the guarantee of the minimum required macrocell's sum rate in OFDMA femtocell Hetnets.…”

Section: Introductionmentioning

confidence: 99%

“…A paradigm for energy‐spectral efficiency in conventional OFDMA networks was developed while satisfying guaranteed QoS of minimum data rate. () Some works studied the resource allocation problem without consideration of either DS or DT service . Meanwhile, the resource allocation problem for DT traffic systems considers fairness between users.…”

Section: Introductionmentioning

confidence: 99%

Spectral‐efficient resource allocation for mixed services in OFDMA‐based 5G heterogeneous networks

Jayalath

Coetzee

2017

Trans Emerging Tel Tech

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One of the principal thrusts of proposed fifth-generation networks is the provisioning of mixed services or heterogeneous quality of service, which includes delay-sensitive and delay-tolerant services. Guaranteeing the fairness in data rate among end users in such a complex network brings many challenges. In this paper, we consider heterogeneous quality of service and fairness in the problem of spectrally efficient resource allocation in orthogonal frequency-division multiple access (OFDMA)-based fifth-generation heterogeneous networks with femtocells. We aim to maximize the total capacity of all femtocells while satisfying the following: fairness constraint for delay-tolerant users, minimum throughput for delay-sensitive users, cross-tier interference threshold of femtocell heterogeneous networks, and exclusive property of OFDMA subchannels. The formulated problem is combinatorial and nonconvex due to the integer constraint of OFDMA subchannels and the nonaffine equality constraint of the fairness. To make the problem more tractable, we propose to maximize the overall throughput over instantaneous data rate instead of power and subchannel.By doing this, the fairness equality becomes affine on instantaneous data rate.The feasible domain of the problem is redefined with the constraints of subchannels readily included. The transformed problem takes the standard convex form, which is much simpler and is easily solved using the Lagrangian dual method.The proposed algorithm has a low complexity and provides a higher spectral efficiency compared with existing algorithms.

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Energy-spectral efficiency tradeoff for heterogeneous networks with QoS constraints

Cited by 15 publications

References 19 publications

On optimizing resource allocation: A comparative performance evaluation of resource allocation strategies in 5G

On optimizing resource allocation: A comparative performance evaluation of resource allocation strategies in 5G

Energy and Spectral Efficiency Balancing Algorithm for Energy Saving in LTE Downlinks

Spectral‐efficient resource allocation for mixed services in OFDMA‐based 5G heterogeneous networks

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