A decomposition approach for fixed channel assignment problems in large-scale cellular networks

2003 ◽  
Vol 5 (1) ◽  
pp. 43-54
Author(s):  
Ming-Hui Jin ◽  
Eric Hsiao-Kuang Wu ◽  
Jorng-Tzong Horng
2002 ◽  
Vol 16 (1) ◽  
pp. 85-100
Author(s):  
Nicole Bäuerle ◽  
Anja Houdek

We investigate the performance of channel assignment policies for cellular networks. The networks are given by an interference graph which describes the reuse constraints for the channels. In the first part, we derive lower bounds on the expected (weighted) number of blocked calls under any channel assignment policy over finite time intervals as well as in the average case. The lower bounds are solutions of deterministic control problems. As far as the average case is concerned, the control problem can be replaced by a linear program. In the second part, we consider the cellular network in the limit, when the number of available channels as well as the arrival intensities are linearly increased. We show that the network obeys a functional law of large numbers and that a fixed channel assignment policy which can be computed from a linear program is asymptotically optimal. Special networks like fully connected and star networks are considered.


Author(s):  
Md.Taz Uddin, Ahmed al Marzean, Md Rafiqul Islam, Shahjahan Ahmed

There are different communication standards in present mobile communication industry. Each of this standards has its own feature, architecture, and channel assignment strategies. Each mobile operator uses one of any standard and their aim is to support as much user as possible to communicate with tolerable interference. For that reason they use different cluster size and frequency planning to cover entire geographical area. To reuse the given bandwidth within the entire geographical area some cells uses same sets of frequency and interference arise when the distance between these cells is small. Also when distance is large then capacity is going low. In this thesis our work is to investigation the co channel interference among different cluster size assuming a limited sub urban geographical area in a cellular GSM network. Also we calculate the number of users using each of this cluster size and finally design a cellular system in this geographical area using best results (minimum interference and maximum capacity).


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