Analysis of handoff algorithms using both bit error rate (BER) and relative signal strength

Kumar, Priyatam; Holtzman, J.M.

doi:10.1109/icupc.1994.383072

Cited by 26 publications

(6 citation statements)

References 5 publications

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“…In order to avoid abrupt variation of the RSS, an exponential window function w[k] is applied to s m [k] and s f [k], as studied in [8] [9]. This operation can be expressed as follows:…”

Section: System Modelmentioning

confidence: 99%

“…As stated in the previous studies [8] [9], the cell assignment probabilities at k, denoted by P m [k] and P f [k], and the probability of handoff at k, denoted by P ho [k], can be expressed as follows:…”

Section: Performance Analysis Of Proposed Algorithmmentioning

confidence: 99%

“…Moreover, Lee et al [6] proposed an adaptive hysteresis algorithm to adjust the hysteresis according to user mobility and Zahran et al [7] proposed a signal threshold adaptation algorithm where service requirements including RSS are reflected on determining the threshold. In addition to these handoff algorithms using RSS, various handoff criteria based on distance [8], bit error rate [9] and achievable bandwidth [10], were suggested. Even though their efficiency was verified by both numerical and simulation results, the environment where a large number of femto BSs using extremely low transmit power are deployed in the coverage area of macro BSs was not taken into account.…”

Section: Introductionmentioning

confidence: 99%

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Novel Handoff Decision Algorithm in Hierarchical Macro/Femto-Cell Networks

Moon

Cho

2010

2010 IEEE Wireless Communication and Networking Conference

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Hierarchical macro/femto-cell networks are considered as a promising technology for the improvement of indoor coverage and network capacity. In these emerging networks, handoff procedures for a mobile station moving from a macrocell to a femtocell should be provided to maximize the advantages of femtocells with respect to user satisfaction and system performance. Therefore, we propose an efficient handoff decision algorithm that can be utilized in the situation where a user enters the coverage area of the femtocell. The main idea of the proposed algorithm is to combine the values of received signal strength from a serving macro BS and a target femto BS in the consideration of large asymmetry in their transmit powers. Numerical results show that there is a significant gain in view of the probability that the user will be assigned to the femtocell while keeping the same level of the number of handoffs.

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“…In order to avoid abrupt variation of the RSS, an exponential window function w[k] is applied to s m [k] and s f [k], as studied in [8] [9]. This operation can be expressed as follows:…”

Section: System Modelmentioning

confidence: 99%

Section: Performance Analysis Of Proposed Algorithmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Novel Handoff Decision Algorithm in Hierarchical Macro/Femto-Cell Networks

Moon

Cho

2010

2010 IEEE Wireless Communication and Networking Conference

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“…The way to adapt handover to the wireless environment, e.g., macrocellular, micro-cellular, overlay systems, has been surveyed in [3]. In [5], the performance of a handover procedure using both bit error rate and relative signal strength measurements is analyzed. A call-quality criterion to balance against the number of handovers in designing an optimal handover strategy is presented in [6].…”

Section: Introductionmentioning

confidence: 99%

Dynamic Optimization of Generalized Least Squares Handover Algorithms

Fischione

Athanasiou

Santucci

2014

IEEE Trans. Wireless Commun.

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Efficient handover algorithms are essential for highly performing mobile wireless communications.These algorithms depend on numerous parameters, whose settings must be appropriately optimized to offer a seamless connectivity. Nevertheless, such an optimization is difficult in a time varying context, unless adaptive strategies are used. In this paper, a new approach for the handover optimization is proposed. First, a new modeling of the handover process by a hybrid system that takes as input the handover parameters is established. Then, this hybrid system is used to pose some dynamical optimization approaches where the probability of outage and the probability of handover are considered.Since it is shown that these probabilities are difficult to compute, simple approximations of adequate accuracy are developed. Based on these approximations, a new approach to the solution of the handover optimizations is proposed by the use of a trellis diagram. A distributed optimization algorithm is then developed to maximize handover performance. From an extensive set of results obtained by numerical computations and simulations, it is shown that the proposed algorithm allows to improve performance of the handover considerably when compared to more traditional approaches.C. Fischione and G. Athanasiou are with the Automatic Control Lab,

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“…There are several traditional strategies for making a handover decision based on different mobility characters, like cost function based proposal [4], which established the cost function models to network selection algorithm; and Bit Error Rate based proposal [11], which analyzes the performance on bit error rate and relative signal strength to make a handoff decision; Received Signal Strength (RSS) based proposal [2], which making a handover decision mainly based on RSS and focus on the hard handover for UTRAN LTE network For the traditional handover decision maker algorithms, typically threshold based decision algorithms are used. These algorithms can cause the "ping-pong" effect.…”

Section: State Of the Artmentioning

confidence: 99%

Automatic Handover Decision in Content Centric Networking

Luo

Eymann

et al. 2012

Information and Communication Technologies

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Abstract. The current Internet architecture was designed more than 30 years ago for a very different set of services than those used today. Several new architectures have been proposed for a Future Internet to better meet todays and future requirements. Content Centric Networking (CCN) is one of those new architectures gaining worldwide attention by researchers and the focus of this article. CCN is based on naming content instead of hosts allowing routers to cache popular content. It has been shown that CCN can also support point-to-point real-time conversations, for example voice or video calls. However, it has not been defined how node mobility can be achieved in such a real-time scenario with strong time constraints. In this paper a close study to the handover algorithms has been carried out. A handover decision maker, which is based on neuro-fuzzy system (NFS) is proposed and evaluated. The results show that the proposed decision maker meets the design targets.

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Analysis of handoff algorithms using both bit error rate (BER) and relative signal strength

Cited by 26 publications

References 5 publications

Novel Handoff Decision Algorithm in Hierarchical Macro/Femto-Cell Networks

Novel Handoff Decision Algorithm in Hierarchical Macro/Femto-Cell Networks

Dynamic Optimization of Generalized Least Squares Handover Algorithms

Automatic Handover Decision in Content Centric Networking

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