Optimized Hybrid Resource Allocation in Wireless Cellular Networks with and without Channel Reassignment

Wu, Xin; Jaekel, Arunita; Bari, Ataul; Ngom, Alioune

doi:10.1109/itng.2009.91

Cited by 1 publication

(1 citation statement)

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“…There are various schemes discussed in the literature to find better ways to assign channels to calls. Channel assignment schemes in general can be classified into three categories (Helonde, Wadhai, Deshpande, & Ohal, 2011;Vidyarthi, Ngom, & Stojmenovic, 2005;Wu, Jaekel, Bari, & Ngom, 2009) as: Fixed Channel Allocation (FCA), Dynamic Channel Allocation (DCA) and Hybrid Channel Allocation (HCA).…”

Section: Literature Reviewmentioning

confidence: 99%

A Cooperative Cell Model in Computational Mobile Grid

Kaushik

Vidyarthi

2012

International Journal of Business Data Communications and Networking

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Computation in the mobile grid nodes under the cellular network environment requires an efficient management of wireless channels along with the user mobility. Due to random movement of the mobile devices, the load over the cells in terms of initiation of new computation or carryover computation (handoff) may vary dynamically. This may result in non-availability of free channels for Inter-task communication leading in the drop of carryover computation or to initiate the new computation in the current cell. The proposed work designs a model by instigating substantive cooperation among underutilized and the overloaded cells, considering importance to the frequency reuse and assigning priority to the on-going computation in the computational mobile grid. The model seeks cooperation by grouping the cells in different sizes to reduce the blocking and dropping of the computation. Blocking of the communication is very serious in computational mobile grid environment as the drop may result in the termination of the computation. The model aims at minimizing the Call Block Probability (CBP) and Call Drop Probability (CDP) in the mobile grid by making the clusters of different sizes. A simulation experiment to evaluate the performance of the proposed model reveals the effectiveness of this model.

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Section: Literature Reviewmentioning

confidence: 99%