13.07.2015 Views

Praise for Fundamentals of WiMAX

Praise for Fundamentals of WiMAX

Praise for Fundamentals of WiMAX

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.

11.1 Methodology <strong>for</strong> Link-Level Simulation 369models the effect <strong>of</strong> multipath fading and adds other-cell/sector interference. The other-cellinterference in link-level simulations is modeled as filtered 5 AWGN.The multipath fading between each pair <strong>of</strong> transmit and receive antennae is modeled as a tapdelayline (see Section 3.2). The received signal at the ith receive antenna can thus be written asN t L k∑ ∑r i () t = h i, k ()x t k( t – τ l,k ) + z i ( t), (11.1)k = 1l = 1where k is the transmit antenna index, Nt is the total number <strong>of</strong> transmit antennas, x k (t) is the signaltransmitted from the kth antenna at time t, and z i (t) is the other-cell interference. Additionally,l is the multipath index, τ l,k is the delay <strong>of</strong> the lth path—relative to the first arriving path—fromthe kth antenna, and L k is the total number <strong>of</strong> multipath components as seen from kth antenna.For the simulation results presented in this chapter, we modeled the channel between eachpair <strong>of</strong> transmit and receive antennas as a SISO multipath channel. The ITU pedestrian andvehicular multipath channel pr<strong>of</strong>iles, as described in Section 12.1, are used because they areconsidered good representations <strong>of</strong> the urban and suburban macro-cellular environments. Thespatial channel model (SCM) [1] developed by 3GPP is also a good representative <strong>of</strong> the MIMOmultipath channel in macrocellular environments. In this chapter, however, link-level results <strong>for</strong>the SCM are not presented, since most <strong>of</strong> the literature <strong>for</strong> link- and system-level per<strong>for</strong>mance <strong>of</strong>competitive wireless technologies, such as 1xEV-DO and HSDPA, is available <strong>for</strong> ITU channelmodels. Thus, the ITU channel models provide a better data point <strong>for</strong> comparative analysis withsuch wireless technologies.The ITU channel models, unlike the SCM, do not model any correlation between the fadingwave<strong>for</strong>ms across the transmit and receive antennas; those models were developed primarily tomodel SISO channels. Because the spacing between the various antenna elements at the transmitterand the receiver are <strong>of</strong> an order <strong>of</strong> a few wavelengths, in a wireless channel with a finitenumber <strong>of</strong> scatterers the fading wave<strong>for</strong>ms across the antenna elements are expected to be correlated.In order to incorporate the effect <strong>of</strong> such correlation, we first generate the MIMO multipathchannel between the various pairs <strong>of</strong> transmit and receive antennas independently, withoutcorrelation. Then correlation is added, using coloring matrices Q t and Q r <strong>for</strong> transmit andreceive ends, respectively:H l t = Q r H' l tQH tQ r QH r = R rQ t QH t =R t(11.2)where H l (t) and H'(t) are the correlated and uncorrelated MIMO channel matrix <strong>for</strong> the lth path,respectively, at time t. The spatial-correlation matrices R t and R r capture the correlation between5. The transmitter pulse-shaping filter is used to generate the filtered AWGN <strong>for</strong> modeling other-cellinterference. In system-level simulations, as discussed in Chapter 12, other-cell interference ismodeled as an OFDM signal.

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

Saved successfully!

Ooh no, something went wrong!