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mobile station are at about the same height as or are higher than the mobile. This implies that the received signal at the mobile antennaarrives from all directions after bouncing from the surrounding scatterers, as illustrated in Figure 4.1 1. Under these conditions it is assumed that the downlink Direction-Of-Arrival (DOA) at the mobile is uniformly distributed over [0,27r] [21,296]. However, the uplink DOA of the received signal at the base station is quite different. In a macrocellular environment, base station is typically positioned higherthan the the surrounding scatterers. Hence, the received signals at the base station result predominantly from the scattering process in the vicinity of the mobile station, as it may be seen in Figure 4.1 1. The uplink multipath componentsare restricted to a smaller angularregion, Q B ~and hence the distribution of the uplink DOA is no longer uniform over [0,27r]. Many , different models have been developed use in different applications. Below a brief descripfor tion of some of the models follows, but for a more detailed exposition the reader is referred for example, to Ertel et al. [296]. The macrocellular models are all based around the same principle of placing a number scatterers near the mobile station in a given pattern, obeying of a geographic probability distribution. In Lee s model, the scatterers are evenly spaced on a circular ring about the mobile, as shown in Figure 4.12. Assuming that the N scatterers are uniformly spaced on circle having aradius R and orientated such that a scatterer is located the

where KLOS is the ratio of powers in the LOS to those in residual components, HLOS is a res has (uncorrelated or correlated) zero-mean Gaussian entries16 purely deterministic matrix, and H If the distance between the TX and RX is large ie, larger than the Rayleigh distance (see 4) the LOS gives rise to a matrix HLOS that has rank 1 (a single wave can only be associated with one singular value of the channel matrix!) This in turn implies that the singular value spread of matrix Eq (2046) is much larger than for a Non Line Of Sight (NLOS) matrix Consequently, the capacity of a LOS channel is lower than for an NLOS channel when assuming equal SNR One should however note that the SNR is often better in the LOS case compared with the NLOS case.

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For a power-limited scenario with realistic channels, the LOS case often gives the highest capacity, despite the imbalance between singular values It is also noteworthy that a strong LOS component leads to a larger spread of eigenvalues if the LOS component is a plane wave A spherical wave leads to a transfer function matrix that can have full rank if antenna elements are spaced appropriately The curvature of waves is noticeable up to one Rayleigh distance ie, typically a few meters Example 204 Capacity in a channel with LOS The transmit and receive arrays are uniform linear arrays with element spacing between the elements and Nr = Nt = 8 The arrays are perpendicular to the LOS connection The DOA of the NLOS components is uniformly distributed between 0 and 2 .

As you can see, the category statement simply connects category names with the type of logging device that will be used. This can be either a file or a call to syslog. If more than one logging device is required, separate them with semicolons.

Estimate the mean capacity if the TX does not have CSI for an SNR of 20 dB, and KLOS = 0 and 20 dB As a rst step, we have to determine the channel matrix Since the transmit and receive arrays are linear arrays that are oriented perpendicular to the LOS, we nd that HLOS is the all-l s matrix if transmit and receive arrays are suf ciently far apart from each other Furthermore, Hres has unit energy, iid complex Gaussian entries because the angular spectrum is uniformly distributed and the antenna elements are more than /2 apart from each other From Eq (2038), capacity is then: C = log2 det INr + = log2 det INr + + HH Nt Nt KLOS HLOS H LOS KLOS + 1 (2048) (2047).

The different types of resource allocation provide exibility to adjust the allocation method to the amount of channel state information and the admissible overhead If the BS has full channel state information, then a fully exible approach employing type-0 allocation encoding and localized RBs allow full exploitation of the available multiuser diversity Using localized RBs with contiguous assignment (type 2) has a smaller overhead, since the assigned RBs can be described in a very.

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