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Wireless Network Design: Optimization Models and Solution ...

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2 Introduction to <strong>Wireless</strong> Communications 21<br />

Similar to the discrete time channel, for a continuous time additive white Gaussian<br />

noise channel with b<strong>and</strong>width W the capacity can be calculated as<br />

CAWGN = W log(1 + P/N0W)bits/sec (2.12)<br />

Further, the capacity of wireless fading channels has been well investigated under<br />

several conditions [10]. The concept of channel capacity has also been extended to<br />

multiuser channels. We illustrate the idea in 2 different settings.<br />

1. Uplink Channel: Consider a simple uplink channel in which multiple users are<br />

communicating with a single base station. Again, consider the simple Gaussian<br />

noise channel in which the received signal ybs(n) at the base station is given by<br />

ybs(n) =<br />

K<br />

∑<br />

i=1<br />

xi(n) + zbs(n) (2.13)<br />

where xi(n) is the signal transmitted by user i <strong>and</strong> zbs is the effective noise at the<br />

base station receiver, which is modeled as having a Gaussian pdf. Similar to the<br />

capacity of a single user channel, in this case, the capacity region is defined as<br />

the set of all K−tuples of achievable rates for the various users.<br />

Fig. 2.7 Capacity of AWGN channel <strong>and</strong> maximum possible transmission rates with various modulation<br />

schemes.

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