Channel-adaptive technologies and cross-layer designs for by Vincent K N Lau; Yu-Kwong Ricky Kwok

By Vincent K N Lau; Yu-Kwong Ricky Kwok

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Additional info for Channel-adaptive technologies and cross-layer designs for wireless systems with multiple antennas : theory and applications

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Summary of fading channels. 2, we have introduced the general linear deterministic channel where the relationship of output given an input signal is modeled as a general time-varying system. However, in practice, the wireless fading channels we experience are random instead of deterministic; that is, h(t; t, r) is a random process instead of a deterministic quantity. Hence, in this section, we shall extend the model of linear deterministic channels to cover the random channels. For simplicity, let’s consider a channel response on the time dimension only.

We also describe a reactive ad hoc routing algorithm, called RICA (receiver-initiated channel-adaptive) protocol, to intelligently utilize the multirate services (based on different modulation schemes). NS-2 simulation results show that the RICA protocol is highly effective. In conclusion, channel adaptation technologies can benefit all the three layers described above. However, one fundamental requirement for channel adaptation is the knowledge of channel state information (CSI) at the transmitter.

The vector representation of s(t) becomes • s j =  xn Ú h(t )g(t - nTs )Yj* (t )dt n -• • =  xn hn Ú g(t - nTs )Yj* (t )dt -• n =  xn hn gn , j " j Œ[1, Ds ] n ∞ where gn,j = Ú -∞ g(t - nTs)Y*j (t)dt, Ds = WNTs and N is the number of transmitted symbols. Therefore, we have s = Snxnhngn, where gn is the vector representation of the time-delayed transmit pulse g(t - nTs). 36) n where the vectors are defined with respect to the NWTs-dimensional signal space x that contains x(t). d. noise vector components in z, each with variance h0.

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