Dynamic Channel Assignment in High-Capacity Mobile Communications Systems

Cox, D.C.; Reudink, D. O.

doi:10.1002/j.1538-7305.1971.tb02584.x

Cited by 95 publications

(40 citation statements)

References 3 publications

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“…While this is similar to the call holding time in the fixed telephone network, it is often a fraction of the total call duration in a cellular mobile network and need not have the same statistical properties. Negative exponential distributions have been assumed to describe the channel holding time in modeling large and single-cell systems [29]- [31]. Guérin [3] has extended this by attempting to describe the channel holding time by the negative exponential distribution.…”

Section: Introduction T He Mobility Model Plays An Important Role mentioning

confidence: 99%

User mobility modeling and characterization of mobility patterns

Zonoozi

Dassanayake

1997

IEEE J. Select. Areas Commun.

537

262

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Abstract-A mathematical formulation is developed for systematic tracking of the random movement of a mobile station in a cellular environment. It incorporates mobility parameters under the most generalized conditions, so that the model can be tailored to be applicable in most cellular environments. This mobility model is used to characterize different mobility-related traffic parameters in cellular systems. These include the distribution of the cell residence time of both new and handover calls, channel holding time, and the average number of handovers. It is shown that the cell resistance time can be described by the generalized gamma distribution. It is also shown that the negative exponential distribution is a good approximation for describing the channel holding time.

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Section: Introduction T He Mobility Model Plays An Important Role mentioning

confidence: 99%

User mobility modeling and characterization of mobility patterns

Zonoozi

Dassanayake

1997

IEEE J. Select. Areas Commun.

537

262

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“…The constant bias accounts for the antenna gains and the distance loss in the filter. The parameter is obtained as (14) where is the user velocity and is the update period. Note that is the distance that the user moves during one update period.…”

Section: A Models For Variations In Channel Gains and Interference Lmentioning

confidence: 99%

“…We pick the model parameter according to (14) and by considering the maximum user velocities that we expect in our mobile environment. This makes the filter assume the least correlation among the local mean values in two consecutive power update periods and, therefore, rely more on the measurements.…”

Section: B Kalman Filter Designmentioning

confidence: 99%

Integrated predictive power control and dynamic channel assignment in mobile radio systems

Shoarinejad¹,

Speyer

Pottie

2003

IEEE Trans. Wireless Commun.

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Abstract-It is known that dynamic allocation of channels and power in a frequency/time-division multiple access system can improve performance and achieve higher capacity. Various algorithms have been separately proposed for dynamic channel assignment (DCA) and power control. Moreover, integrated dynamic channel and power allocation (DCPA) algorithms have already been proposed based on simple power control algorithms. In this paper, we propose a DCPA scheme based on a novel predictive power control algorithm. The minimum interference DCA algorithm is employed, while simple Kalman filters are designed to provide the predicted measurements of both the channel gains and the interference levels, which are then used to update the power levels. Local and global stability of the network are analyzed and extensive computer simulations are carried out to show the improvement in performance, under the dynamics of user arrivals and departures and user mobility. It is shown that call droppings and call blockings are decreased while, on average, fewer channel reassignments per call are required.

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“…DCA has been discussed in the literature as a way to achieve improved resource management and "self-planning" within a given operator's network [3,4]. Under DCA, channels are not permanently assigned for use by a particular base station, but are allocated dynamically as calls appear and are terminated.…”

Section: Introductionmentioning

confidence: 99%

Spectrum sharing through dynamic channel assignment for open access to personal communications services

Salgado

Sirbu

Peha

Proceedings IEEE International Conference on Communications ICC '95

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. This paper focuses on a narrow band technical solution that uses decentralized spectrum sharing to facilitate open access among competing Personal Communications Services (PCS) operators. Existing policies that apportion spectrum by Fixed Channel Assignment (FCA) involve inefficiencies resulting from fragmentation of the available resource into mutually exclusive frequency blocks. Dynamic Channel Assignment (DCA) has been previously demonstrated to be flexible in handling traffic variability and to simplify frequency planning for a single network operator. In this paper we use a discrete event simulation to demonstrate that DCA with Autonomous Reuse Partitioning (ARP) provides more capacity than standard DCA; this property still holds when channels are shared among multiple operators, with partially overlapping networks and unequal traffic shares. We explore the impact of limiting the maximum number of channels that can be assigned to one cell site as an incentive for operators to build more cells, rather than simply appropriating channels from competitors.

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Dynamic Channel Assignment in High-Capacity Mobile Communications Systems

Cited by 95 publications

References 3 publications

User mobility modeling and characterization of mobility patterns

User mobility modeling and characterization of mobility patterns

Integrated predictive power control and dynamic channel assignment in mobile radio systems

Spectrum sharing through dynamic channel assignment for open access to personal communications services

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