Handover mechanisms in next generation heterogeneous wireless ...
Handover mechanisms in next generation heterogeneous wireless ...
Handover mechanisms in next generation heterogeneous wireless ...
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DYNAMIC NEIGHBOUR TRUST INFORMATION RETRIEVAL FOR GLOBAL ROAMING<br />
R<strong>in</strong>g 6<br />
R<strong>in</strong>g 5<br />
R<strong>in</strong>g 4<br />
R<strong>in</strong>g 3<br />
R<strong>in</strong>g 2<br />
R<strong>in</strong>g 1<br />
R<strong>in</strong>g 2 R<strong>in</strong>g 3 R<strong>in</strong>g 4 R<strong>in</strong>g 5 R<strong>in</strong>g 6<br />
- 70 -<br />
absorb<strong>in</strong>g state<br />
Figure 4.7 The hexagonal random walk model<br />
Us<strong>in</strong>g the method proposed <strong>in</strong> [79], the expectation of the transition probabilities for the<br />
mobile user mov<strong>in</strong>g with<strong>in</strong> R<strong>in</strong>g n can be derived. The state transition follows a Markov<br />
cha<strong>in</strong> as shown <strong>in</strong> Figure 4.8.<br />
2<br />
�n � 3�<br />
�<br />
6�n�3�<br />
2<br />
1<br />
�n � 2�<br />
�<br />
6�n�2�<br />
Figure 4.8 Transition probabilities for the random walk model<br />
1<br />
1/6<br />
1/6<br />
2<br />
1/6<br />
1/6<br />
�n � 2�<br />
�<br />
6�n�2�<br />
Its transition probability matrix is denoted as P. Let S i,<br />
n represent the number of cell<br />
cross<strong>in</strong>gs the movement takes for its first entrance <strong>in</strong>to boundary r<strong>in</strong>g given that X 0 � i .<br />
Random variable S i,<br />
n is known as the first passage time from i to n [80].<br />
represent the probability mass function for S i,<br />
n . Thus, we get:<br />
�S � m��<br />
P�X�nX�n,<br />
, X � n | X � i�<br />
( m)<br />
i,<br />
n<br />
1<br />
1/6<br />
1/6<br />
q is used to<br />
( m)<br />
qi, n � P i,<br />
n<br />
m , m�1<br />
� 1<br />
0<br />
n=1, 2, …