A compact pattern with maximized channel borrowing strategy for mobile cellular networks

Ortigozo-Guerrero, L.; Lara-Rodriguez, D.

doi:10.1109/pimrc.1996.567410

Cited by 9 publications

(15 citation statements)

References 8 publications

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“…Among channel assignment strategies, channel borrowing and dynamic channel allocation (DCA) have shown good performance in decreasing the blocking probability of new calls when the offered load to the system is low both under uniform and nonuniform traffic patterns. A combination of the two, a DCA strategy using maximized channel borrowing, was presented in [16]. This strategy takes advantage of the compact pattern concept [22] to decrease the blocking probability of new calls by always assigning a channel to a pattern that improves the system performance.…”

Section: Introductionmentioning

confidence: 99%

“…Channel borrowing and channel reallocation strategies are also used to minimize the blocking probability of each cell of the system. Compact pattern with maximized channel borrowing (CPMCB) has proved to outperform FCA, borrowing with channel ordering (BCO), borrowing with directional channel locking (BDCL) in two different evaluation environments [16], [20]. Its feasibility when applied to time-division multiple-access (TDMA) systems has also been studied [21].…”

Section: Introductionmentioning

confidence: 99%

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A prioritized handoff dynamic channel allocation strategy for PCS

Ortigoza-Guerrero

Aghvami

1999

IEEE Trans. Veh. Technol.

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An analytical method is developed to calculate the blocking probability (p b p b p b), the probability of handoff failure (p h p h p h), the forced termination probability (p ft p ft p ft), and the probability that a call is not completed (p nc p nc p nc) for the no priority (NPS) and reserved channel (RCS) schemes for handoff, using fixed channel allocation (FCA) in a microcellular system. Based only on the knowledge of the new call arrival rate, a method of assessing the handoff arrival rate for any kind of traffic is derived. The analytical method is valid for uniform and nonuniform traffic distributions and is verified by computer simulations. An extension (generalization) to the nonuniform compact pattern allocation algorithm is presented as an application of this analysis. Based on this extended concept, a modified version of a dynamic channel allocation strategy (DCA) called compact pattern with maximized channel borrowing (CPMCB) is presented. With modifications, it is shown that CPMCB is a self-adaptive prioritized handoff DCA strategy with enhanced performance that can be exploited in a personal communications service (PCS) environment leading either to a reduction in infrastructure or to an increase in capacity and grade of service. The effect of user mobility on the grade of service is also considered using CPMCB.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A prioritized handoff dynamic channel allocation strategy for PCS

Ortigoza-Guerrero

Aghvami

1999

IEEE Trans. Veh. Technol.

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“…Most of the existing DCS strategies [4], [5], [9], [12]- [14], [18], [22] need up-to-date information to calculate channel priority. This can be easily implemented in centralized algorithms, since the MSC monitors every release and acquisition of channels, and hence it has the up-to-date information.…”

Section: B the Complete Channel Allocation Algorithmmentioning

confidence: 99%

“…Channel selection algorithms [4], [9], [11]- [14], [18], [22] have been an active research topic for the last 30 years. However, most of these algorithms, which are referred to as centralized channel acquisition algorithms, rely on a mobile switching center (MSC) to accomplish channel acquisition.…”

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confidence: 99%

Distributed fault-tolerant channel allocation for mobile cellular networks

Singhal

1999

IEEE INFOCOM '99. Conference on Computer Communications. Proceedings. Eighteenth Annual Joint Conference of the IEEE Computer A

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Abstract-A channel allocation algorithm includes a channel acquisition algorithm and a channel selection algorithm. Most of the previous work concentrates on the channel selection algorithm since early channel acquisition algorithms are centralized and rely on a mobile switching center (MSC) to accomplish channel acquisition. Recently, distributed channel acquisition algorithms have received considerable attention due to their high reliability and scalability. However, in these algorithms, a borrower needs to consult with its interference neighbors in order to borrow a channel. Thus, the borrower fails to borrow channels when it cannot communicate with any interference neighbor. In real-life networks, under heavy traffic load, a cell has a large probability to experience an intermittent network congestion or even a communication link failure. In existing distributed algorithms, since a cell has to consult with a large number of interference neighbors to borrow a channel, the failure rate will be much higher under heavy traffic load. Therefore, previous distributed channel allocation algorithms are not suitable for real-life networks. In this paper, we first propose a fault-tolerant channel acquisition algorithm which tolerates communication link failures and node (MH or MSS) failures. Then, we present a channel selection algorithm and integrate it into the distributed acquisition algorithm. Detailed simulation experiments are carried out in order to evaluate our proposed methodology. Simulation results show that our algorithm significantly reduces the failure rate under network congestion, communication link failures, and node failures compared to nonfault-tolerant channel allocation algorithms. Moreover, our algorithm has low message overhead compared to known distributed channel allocation algorithms, and outperforms them in terms of failure rate under uniform as well as nonuniform traffic distribution.

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“…In this paper a new CBA scheme based on Compact Pattern (CP) concept for initial non-uniform allocation of NCs to cells [4], has been proposed. To select the optimum channel for borrowing in a highly mobile micro-cellular environment, this scheme uses a cost function that not only considers the traffic load due to new call demand arrivals in the cells, hut also takes into account the hand-off originated call demand traffic.…”

Section: Introductionmentioning

confidence: 99%

A new channel borrowing assignment scheme: teletraffic performance evaluation through discrete event modeling in a mobile cellular environment

Vakili

Aziminejad²

2003

Proceedings of the 7th International Conference on Telecommunications, 2003. ConTEL 2003.

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Abslracl-Frequency planning in cellular systems becomes more and more critical as cell dimensions dcercase. To address this issue a new channel borrowing assignment scheme based on compact patterns is prescntcd in this research, which allows the borrowing of resources in an adaptive way depending on the traffic conditions. By using efficient techniques in inter-cell and intcra-cell reallocalion phase of the presented scheme. its teletraffie performance has been further improved. This scheme does not require system-wide information and all it needs is information about thc local cell and its intcrfcring CCIIE. As fundamentally a main objective ofthis research >Vas study of user's mubility efferl on performancc of channel assignment strategies in a microccllular scenario, an innovative simulation environment using discrctc time step model traffic simulator notion has becn developcd and exploited for ertrdcting as rCalistie as possible results regarding tcletvaflic pcrformancc of the proposed scheme.

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A compact pattern with maximized channel borrowing strategy for mobile cellular networks

Cited by 9 publications

References 8 publications

A prioritized handoff dynamic channel allocation strategy for PCS

A prioritized handoff dynamic channel allocation strategy for PCS

Distributed fault-tolerant channel allocation for mobile cellular networks

A new channel borrowing assignment scheme: teletraffic performance evaluation through discrete event modeling in a mobile cellular environment

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