Cost Assessment and Optimization Methods for Multi-Node Radio Access Networks

Werner, Marc; Naden, Mark; Jesus, Paulo; Silva, C.; Moberg, Peter; Skillermark, Per; Warzanskyj, W.

doi:10.1109/vetecs.2008.571

Cited by 18 publications

(11 citation statements)

References 6 publications

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“…The second concept is the variable cost represented by the transmitting power of each RN, which we indicate by a power factor x that is the ratio between the power of the relay node to the power of the eNB. Lastly, the third concept involves the impact of the channel resources into the cost analysis, so we called channel cost-efficiency , modified from the equation 2in [28], and can be calculated as follows:…”

Section: Cost Analysismentioning

confidence: 99%

“…[24] Depended on CAPEX and OPEX, which represent the deployment cost and the operational cost respectively; but [25] connected the CAPEX and OPEX with the energy consumption. Whereas other researchers interested in linking the calculation of the cost with the data rate of the network as in [26], [27], [28], and [29]. In which the authors in [26] connected between the number of infrastructures deployed and the downlink throughput in the network.…”

Section: Introductionmentioning

confidence: 99%

“…[27] Calculated the cost based on the data delivery and the successful transmission between two sensors. The authors in both [28], [29] associated between the deployment cost of the nodes and the cell throughput. The authors in [30] were concerned with increasing requirement for high data rates in order to make the network able to continue its normal operation when the breakdowns occur in a HetNet.…”

Section: Introductionmentioning

confidence: 99%

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Optimization of the Deployment of Relay Nodes in Cellular Networks

2020

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Significant and continuous contributions related to 4G/5G cellular networks are still accelerating the investigation of the approaches that can boost the cell characteristics following the new aspirations of the users. The challenge of achieving sufficient coverage at the cell edge; represents a constant concern for both users and operators; in addition to ensuring a reasonable cost, are the most important search fields and in our scope of interest. As relay nodes can provide a solution, a scenario for a plan of relay nodes deployment at the cell edge is proposed, taking into account the interference due to the relay nodes. Since optimization algorithms are effective in terms of planning, an advanced hybrid particle swarm optimization and gravitational search algorithm (PSOGSA) is applied to the proposed scenario to detect the optimum solution. The optimum solution represents the optimum plan that attains the best coverage with the minimum cost. We submit cost analysis depends on three trails of construction cost, power and channel cost efficiency. To highlight that the optimal plan has been revealed, another recently developed optimization algorithm, a simplified adaptive bat algorithm based on frequency (FSABA) and a classic particle swarm optimization (PSO) algorithm are also applied to the suggested scenario. The obtained results are compared with the related findings of the PSOGSA. From the simulations, it is found that the PSOGSA achieves better performance than the other two algorithms with fruitful and promising results, and the optimal plan featuring great coverage at the cell edge and cost-saving is attained. INDEX TERMS A simplified adaptive bat algorithm based on frequency (FSABA), cell edge, particle swarm optimization and gravitational search algorithm (PSOGSA), relay nodes. RANA M. MOKHTAR received the B.Sc. degree in communication and electronics engineering from Suez Canal University, Port Said, Egypt, in 2009. She is currently pursuing the M.Sc. degree in communication engineering with the Faculty of Engineering. Her current research interests include cellular network planning, relaying network, and optimization techniques. DR. HEBA M. Abdel-Atty received the Ph.D. degree in Electronics and Communications Engineering from the Faculty of Engineering-Port Said University, Egypt 2012. She is working as an associate professor at the Electronics and Communications Engineering Department from 2018 until now. She is founder and counselor of IEEE in Port-Said University student branch. She is a member of IoT Egypt Forum She published a lot of papers in international journals and conferences and she is a reviewer at a lot of international journals. Her current

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Section: Cost Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Optimization of the Deployment of Relay Nodes in Cellular Networks

2020

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“…There is a significant body of work on optimizing the deployment and operational costs of cellular networks [14], [15], [16], [17]. The fundamental difference with respect to this paper is that, once deployed, the infrastructure of a cellular network is static while the topology of a WSN varies in time.…”

Section: Related Workmentioning

confidence: 99%

Minimizing the Net Present Cost of Deploying and Operating Wireless Sensor Networks

Dorling

Messier

Valentin

et al. 2015

IEEE Trans. Netw. Serv. Manage.

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Minimizing the cost of deploying and operating a Wireless Sensor Network (WSN) involves deciding how to partition a budget between competing expenses such as node hardware, energy, and labor. Most commercial network operators account for interest rates in their budgeting exercises, providing a financial incentive to defer some costs until a later time. In this paper, we propose a net present cost (NPC) model for WSN capital and operating expenses that accounts for interest rates. Our model optimizes the number, size, and spacing between expenditures in order to minimize the NPC required for the network to achieve a desired operational lifetime. In general this optimization problem is non-convex, but if the spacing between expenditures is linearly proportional to the size of the expenditures, and the number of maintenance cycles is known in advance, the problem becomes convex and can be solved to global optimality. If non-deferrable recurring costs are low, then evenly spacing the expenditures can provide near-optimal results. With the provided models and methods, network operators can now derive a payment schedule to minimize NPC while accounting for various operational parameters. The numerical examples show substantial cost benefits under practical assumptions. Index Terms-Wireless sensor network (WSN), net present cost (NPC), net present value (NPV), cost, budget, lifetime, deployment.

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“…The relay deployment problem can also consider the economical cost of the installation, as described in . Therein, the cost factor depends on the deployment density of RSs and BS stations, considering system capacity normalised by cell area and deployment of type‐I and type‐II relays.…”

Section: Ee In Cooperative Ofdmamentioning

confidence: 99%

Energy‐efficiency maximisation for cooperative and non‐cooperative OFDMA cellular networks—a survey

Souza

Amazonas

Abrão

2014

Trans Emerging Tel Tech

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In this survey, techniques to enhance energy efficiency (EE) in orthogonal frequency division multiple access (OFDMA) and orthogonal frequency division multiplexing (OFDM) systems, with or without the utilisation of the cooperative network paradigm, considering also the features provided in the standards of modern cellular wireless networks, such as LTE-Advanced and WiMAX, are discussed. For the non-cooperative EE maximisation case, we summarise resource allocation problems and also describe some techniques that can be combined with the basic power/subcarrier allocation problems. When considering the cooperative OFDM(A) case, we first discuss four basic variables that arise with the relay station implantation, and after that, other features are also listed, which can be combined with the previously discussed issues. Finally, we review some of the standardisation documents available for fourth-generation systems in order to obtain system parameters and simulation scenarios, discuss some methods to analyse and solve the optimisation problems that can be proposed with the aforementioned techniques and then point out important open trends and research challenges in the EE maximisation problem considering OFDM(A) scenario.

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Cost Assessment and Optimization Methods for Multi-Node Radio Access Networks

Cited by 18 publications

References 6 publications

Optimization of the Deployment of Relay Nodes in Cellular Networks

Optimization of the Deployment of Relay Nodes in Cellular Networks

Minimizing the Net Present Cost of Deploying and Operating Wireless Sensor Networks

Energy‐efficiency maximisation for cooperative and non‐cooperative OFDMA cellular networks—a survey

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