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Resource Allocation in OFDM Based Wireless Relay Networks ...

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2.6 Summary<br />

2.4<br />

2.2<br />

2<br />

1.8<br />

Rate (bits/s/Hz)<br />

1.6<br />

1.4<br />

1.2<br />

Dual Solution (D(ν,λ)/K)<br />

1<br />

JntSol<br />

SubOpt<br />

0.8<br />

JSP−(with match<strong>in</strong>g)<br />

0.6<br />

EP−ECarr<br />

EP−RndCarr<br />

0.4<br />

2 3 4 5 6 7 8 9 10<br />

N<br />

Figure 2.7: Throughput versus the number of relays for M = 6.<br />

conditions.<br />

• For a sub-carrier pair, the optimal throughput is obta<strong>in</strong>ed from the optimal<br />

power allocation. A sub-carrier pair is assigned to a user which has the<br />

maximum optimal throughput among all other candidates.<br />

• A profit matrix is obta<strong>in</strong>ed for the assigned sub-carrier pairs. The optimal<br />

pair<strong>in</strong>g is then obta<strong>in</strong>ed from the Hungarian method.<br />

The dual problem is solved from the sub-gradient algorithm and a near optimal<br />

solution is obta<strong>in</strong>ed. In order to reduce the computational complexity, we also<br />

presented a suboptimal algorithm which separates the jo<strong>in</strong>t optimization <strong>in</strong>to three<br />

steps such that: 1) The sub-carrier assignment is obta<strong>in</strong>ed under equal power<br />

distribution at each node. 2) The allocated sub-carriers are then paired <strong>in</strong> such a way<br />

that the sub-carrier with highest channel ga<strong>in</strong> over the first hop is paired with the<br />

sub-carrier of best ga<strong>in</strong> at the second hop. 3) For the obta<strong>in</strong>ed sub-carrier allocation<br />

and the pair<strong>in</strong>g, the optimal power is obta<strong>in</strong>ed from the waterfill<strong>in</strong>g. The suboptimal<br />

41

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