Performance analysis for data service in third generation mobile telecommunication networks

Silva, Aloizio Pereira; Mateus, Geraldo Robson

doi:10.1590/s0104-65002003000100003

Cited by 6 publications

(6 citation statements)

References 16 publications

(24 reference statements)

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“…The Weibull distribution is one of the most widely used lifetime distributions in reliability engineering [20]. Within the telecommunications framework, it has been used to model the traffic characteristics of packet audio streams in [21] and to simulate data traffic in [22].…”

Section: Numerical Results and Discussionmentioning

confidence: 99%

Interference-Based Dynamic Pricing for WCDMA Networks Using Neurodynamic Programming

Hew¹,

White

2007

IEEE Trans. Automat. Contr.

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Abstract-We study the problem of optimal integrated dynamic pricing and radio resource management, in terms of resource allocation and call admission control, in a WCDMA network. In such interference-limited network, one's resource usage also degrades the utility of others. A new parameter noise rise factor, which indicates the amount of interference generated by a call, is suggested as a basis for setting price to make users accountable for the congestion externality of their usage. The methods of dynamic programming (DP) are unsuitable for problems with large state spaces due to the associated "curse of dimensionality." To overcome this, we solve the problem using a simulation-based neurodynamic programming (NDP) method with an action-dependent approximation architecture. Our results show that the proposed optimal policy provides significant average reward and congestion improvement over conventional policies that charge users based on their load factor.Index Terms-Dynamic pricing, neurodynamic programming (NDP), radio resource management (RRM), WCDMA.

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Section: Numerical Results and Discussionmentioning

confidence: 99%

Interference-Based Dynamic Pricing for WCDMA Networks Using Neurodynamic Programming

Hew¹,

White

2007

IEEE Trans. Automat. Contr.

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“…Therefore, the traffic of a single user has the self‐similar and long‐range dependent property in wireless networks. What is more, several mathematical distributions with the infinite variance have been proposed to fit the self‐similar traffic, in which Pareto distributions with infinite variance [33] have been widely used due to the analytical expression and intuitionistic engineering implication. In this case, the traffic at an UE is assumed to be governed by Pareto distribution in this paper.…”

Section: Coverage Efficiencymentioning

confidence: 99%

Base‐station switch‐off with mutual repulsion in fifth‐generation massive multi‐input–multi‐output networks

Chen

Song

et al. 2018

IET Communications

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When small cells are densely deployed in the fifth generation (5G) cellular networks, switching off a part of base stations (BSs) is a practical approach for saving energy consumption considering the variation of traffic load. The small cell network with the massive multi-input multi-output (massive MIMO) system is analyzed in this paper due to the dense deployment and low power consumption. Based on the BS switch-off strategy with distance constraints, the energy and coverage efficiency are investigated to illustrate the performance of the BS switch-off strategy. Simulation results indicate that the energy efficiency and coverage efficiency of the proposed strategy are better than the random strategy. The energy efficiency increases with the BS intensity and the minimal distance, and a maximum coverage efficiency can be achieved with the increase of the BS intensity and the minimum distance. In this case, the optimal BS switch-off strategy can be designed under this work in the actual scene.

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“…These include the limited number of available frequencies in the radio spectrum as well as the traffic constraints corresponding to the minimum number of frequencies indispensable for covering communication between mobile devices moving in a particular cell. In addition, the electromagnetic compatibility constraints (EMC) may happen between channels in the same cell (co-site channel constraint), interference between neighboring cells (adjacent channel constraint) and interference between other cells utilizing the same channel (co-channel constraint) [14]. This paper proposes a new scheme (or algorithm) in order to optimize the frequency assignment and to enable the reuse of same frequency by sufficiently distant cell.…”

Section: The Proposed Schemementioning

confidence: 99%

Evaluation of a channel assignment scheme in mobile network systems

Nurelmadina

Nafea

Younas

2016

Hum. Cent. Comput. Inf. Sci.

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The channel assignment problem is a complex problem which requires that under certain constraints a minimum number of channels have to be assigned to mobile calls in the wireless mobile system. In this paper, we propose a new scheme, which is based on double band frequency and channel borrowing strategy. The proposed scheme takes into account factors such as limited bandwidth of wireless networks and the capacity of underlying servers involved in processing mobile calls. It aims to ensure end-to-end performance by considering the characteristics of mobile devices. This is achieved by determining the position of users (or mobile stations) in wireless mobile systems. The proposed scheme is simulated in order to investigate its efficiency within a specific area of a large city in Saudi Arabia. Experimental results demonstrate that the proposed scheme significantly improves the performance of mobile calls as well as reduces the blocking when the number of mobile call increases.

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Performance analysis for data service in third generation mobile telecommunication networks

Abstract: The data traffic in wireless networks for the third generation (3G) mobile telecommunication systems should take into account a variety of services (voice, data, video)

Cited by 6 publications

References 16 publications

Interference-Based Dynamic Pricing for WCDMA Networks Using Neurodynamic Programming

Interference-Based Dynamic Pricing for WCDMA Networks Using Neurodynamic Programming

Base‐station switch‐off with mutual repulsion in fifth‐generation massive multi‐input–multi‐output networks

Evaluation of a channel assignment scheme in mobile network systems

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