16.03.2015 Views

Final report on link level and system level channel models - Winner

Final report on link level and system level channel models - Winner

Final report on link level and system level channel models - Winner

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

WINNER D5.4 v. 1.4<br />

Table 6.6: The three output arguments.<br />

Parameter name Definiti<strong>on</strong> Unit<br />

CHAN<br />

DELAYS<br />

FULLOUTPUT<br />

delays<br />

A 5D-array with dimensi<strong>on</strong>s U x S x N x T x K<br />

A K x N vector of path delay values. Note that delays<br />

are, for compatibility with the INITVALUES, also<br />

included in FULLOUTPUT.<br />

A MATLAB struct with the following elements:<br />

A K x N matrix of path delays. This is identical to the<br />

sec<strong>on</strong>d output argument.<br />

subPathPowers A K x N x M array of subpath powers. -<br />

Aods A K x N x M array of subpath angles of departure degrees<br />

Aoas A K x N x M array of subpath angles of arrival degrees<br />

subpath_phases<br />

A complex-valued K x N x M array giving the final<br />

phases of all subpaths. When polarizati<strong>on</strong> opti<strong>on</strong> is<br />

used, a K x P x N x M array, where P=4. In this case<br />

the sec<strong>on</strong>d dimensi<strong>on</strong> includes the phases for [VV VH<br />

HV HH] polarized comp<strong>on</strong>ents.<br />

sec<br />

sec<br />

degrees<br />

Path_losses A K x 1 vector linear scale<br />

shadow_fading A K x 1 vector linear scale<br />

Delta_t<br />

Xpr<br />

A K x 1 vector defining time sampling interval for all<br />

<strong>link</strong>s.<br />

A K x 2 x N array of cross-polarizati<strong>on</strong> coupling<br />

power ratios. The sec<strong>on</strong>d dimensi<strong>on</strong> is the [V-to-H H-<br />

to-V] coupling ratios.<br />

sec<br />

linear scale<br />

6.3 Guidelines <strong>and</strong> examples <strong>on</strong> performing <strong>system</strong>-<strong>level</strong> simulati<strong>on</strong>s<br />

Chapter 6.1 has provided an overview <strong>on</strong> the c<strong>on</strong>cept of our implementati<strong>on</strong>. In the following, we want to<br />

show how this generic interface can be used to simulate some special types of <strong>system</strong>-<strong>level</strong> situati<strong>on</strong>s.<br />

This can serve as a quick guide <strong>on</strong> how to implement these special cases <strong>and</strong> as proof of the versatility of<br />

our implementati<strong>on</strong>.<br />

6.3.1 H<strong>and</strong>over<br />

A h<strong>and</strong>over situati<strong>on</strong> is characterized by a MS moving from the coverage are of <strong>on</strong>e BS to the coverage<br />

area of another BS. Figure 6.3 illustrates this setup.<br />

Figure 6.3: H<strong>and</strong>over scenario.<br />

There are two base-stati<strong>on</strong>s or cells denoted c1 <strong>and</strong> c2, <strong>and</strong> <strong>on</strong>e mobile stati<strong>on</strong>. Note that WIM is a quasistati<strong>on</strong>ary<br />

<strong>channel</strong> model; it does not provide the means to generate smooth evoluti<strong>on</strong> of <strong>channel</strong>s for a<br />

l<strong>on</strong>g, c<strong>on</strong>tinuous period. What we generate instead is the <strong>channel</strong>s for a sequence of short, separated<br />

Page 142 (167)

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!