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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, …

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