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the user s channel statistics are the same. This idea underlying the proposed fair scheduling algorithm is exploiting the multiuser diversity gain. With a slight modi cation, the fair scheduling algorithm for point-to-point communication was extended to an algorithm for point-to-multipoint communication [53]. Suppose the user time varying data rate requirement Rk (t) is sent by the user to the base station as feedback of the channel condition. We treat symbol time as the time slot, so t is discrete, representing the number of symbols. We keep track of average throughput tk,n of each user for a subcarrier in a past window of length tc . The scheduling algorithm will schedule a subcarrier n to a user k according to the criterion {k, n} = arg max(rk,n /tk,n )

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Equations (l0.4.25a)-(1O.4.25b) can be conveniently put in matrix form. Let A and B represent respectively Amn/-Lv and B mnJLv , and the matrices are of dimension L max x L max , using the notation from Table 2.7.1 in 2 of Volume 1. Also let T(M)(j) represent TSM)(j). Note that T(M) is of dimension L max x L max . Also let column vectors w(M)(Z) and a,CM) represent w~~)(l) and aC;;;~) , etc. These column vectors are of dimension L max x 1. Then we have

W(M)(Z) = RgA(krz)a(M)

+ RgB(krz)a(N) + B(krzrj)T(N)(j)w(N)(j)]

(1O.4.26a)

[A(krzrj)T(M)(j)w(M)(j)

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where tk,n can be updated using an exponentially weighted low-pass lter described in Viswanath et al. [60]. Here, we are confronted with determining the rk,n values. We can set rk,n to Rk /N , where N is the number of carriers. With this setting, the peaks of the channel for a given subcarrier can be tracked. The algorithm schedules a user to a subcarrier when the channel quality in that subcarrier is high relative to its average condition in that subcarrier over the time scale tc . When we consider all subcarriers the fairness criterion matches with the point-to-point case as k = max Rk /Tk , where Tk =

W(N)(l) = RgB(krl)"a(M)

Our Hello World application is a great candidate to be accessed over SSL After all, we don t want just anyone seeing our super-secret message Let s revisit our server to see what changes we have to make to allow it to accept SSL connections:

+ RgA(krl)"a(N)

+ A(kqrj)T(N)(j)w(N)(j)]

(1O.4.26b)

[B(krlrj)T(M)(j)w(M)(j)

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The theoretical analysis of fairness property of the above relation for point-to-point communication is derived in Viswanath et al. [60]. Those derivations can be apply for point-tomultipoint communication. 21.4.2.1 Performance example The required transmission power for c bits/subcarrier at a given BER with unity channel gain is [57]: f (c, BER) = N0 Q 1 3 BER 4

= [ ~(N)

-(M) ]

(10.4.27)

be of dimension 2L max xl,

O'(kr)

1 2 x 2

require 'drb' require 'drb/ssl' # Make sure no one can call eval() and related methods remotely! $SAFE = 1 class HelloWorldServer def say_hello "Hello, world!" end end config = { :SSLPrivateKey => OpenSSL::PKey::RSAnew( Fileread("hello-server/hello-server_keypairpem") ), :SSLCertificate => OpenSSL::X509::Certificatenew( Fileread("hello-server/cert_hello-serverpem") ), } DRbstart_service("drbssl://127001:61676", HelloWorldServernew, config) DRbthreadjoin

[A(kr) B(kr)

B(kr)] A(kr)

(10.4.28)

_0 ]

where Q 1 (x) is the inverse function ofQ(x) =

T(N)

(10.4.29)

be of dimension 2L max x 2L max . Then, the multiple scattering equations of (1O.4.26a) and (10.4.26b) can be expressed in compact matrix form.

w(/)

(10.4.30)

The first noticeable change is that we need to require drb/ssl That will give us access to the necessary libraries for DRb over SSL to work Jumping down a bit, we are creating a Hash called config, which we will use to define our SSL parameters for the server We need to define two parameters, :SSLPrivateKey and :SSLCertificate As its name suggests, :SSLPrivateKey is the private key that the server needs to decode all the messages it receives Using the OpenSSL libraries that come with the standard Ruby library, we create a new OpenSSL::PKey::RSA object and read in from disk our private key The :SSLCertificate parameter is how we tell the server

Figure 21.9 shows the average data rates per subcarrier vs total power constraint when there are four users. Each user has a rate requirement of 192 b/symbo1 (maximum rate) and BER requirement of 10 4 . The performance of the iterative approach is close to that of the optimal and difference between suboptimal and iterative approaches decreases as the total transmit power increases.

for I = 1,2, ... , N. After the coefficients w(j) 's are solved, then the scattered wave is given by

mn (krrj)

+ a~,\;V) (j) N mn (krr j) }

(10.4.31 )

-S(j) _ [as(M)(j)] a as(N)(j) (10.4.32)

21.5 PREDICTIVE FLOW CONTROL AND QoS Even if the dimensioning of network resources has been done correctly and the admission control mechanism is good, the network may go into periods of congestion due to the transient oscillations in the network traf c. For this reason it is necessary to develop a mechanism to quickly reduce the congestion or pre-empt it, so as to cause the least possible

and as(M)(j) and as(N)(j) are L max x 1 matrices representing a~V;1)(j) and a~V:l)(j). From (10.4.5), the scattered field coefficients as(j) satisfy the relation

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