Resource Allocation in OFDM Based Wireless Relay Networks ...
Resource Allocation in OFDM Based Wireless Relay Networks ...
Resource Allocation in OFDM Based Wireless Relay Networks ...
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2.3 <strong>Resource</strong> <strong>Allocation</strong> Schemes<br />
Let D(ν, λ) be the dual function for some λ, i.e<br />
D ( ν, λ ) K∑ K∑<br />
(<br />
(√<br />
pm,k |h k |<br />
= max π (k,j) log 2<br />
(1 √ q j |g j | ) 2 ) )<br />
+<br />
p,q<br />
(√<br />
pm,k |h k | ) 2<br />
+ σ<br />
2<br />
(√<br />
k<br />
qj |g j | ) 2<br />
− ν m p m,k<br />
k=1 j=1<br />
(<br />
+ λ Q −<br />
K∑<br />
)<br />
q j +<br />
j=1<br />
σ 2 j<br />
M∑<br />
ν m P m . (2.38)<br />
m=1<br />
Let p ∗ m,k , q∗ j be the solution to problem (2.37) and p m,k , q j be the solution to problem<br />
(2.38), then<br />
D ( ν, λ ) =<br />
≥<br />
=<br />
K∑<br />
K∑<br />
k=1 j=1<br />
K∑<br />
k=1 j=1<br />
K∑<br />
π (k,j)<br />
(<br />
log 2<br />
(1 +<br />
(<br />
+ λ Q −<br />
K∑<br />
K∑<br />
)<br />
q j +<br />
j=1<br />
π (k,j)<br />
(<br />
log 2<br />
(1 +<br />
(<br />
+ λ Q −<br />
K∑<br />
k=1 j=1<br />
K∑<br />
j=1<br />
q ∗ j<br />
)<br />
+<br />
π (k,j)<br />
(<br />
log 2<br />
(1 +<br />
(<br />
+ λ Q −<br />
K∑<br />
j=1<br />
q ∗ j<br />
(<br />
=D (ν, λ) + (λ − λ) Q −<br />
σ 2 j<br />
( √pm,k<br />
|h k | √ 2<br />
q j |g j |)<br />
) )<br />
( √pm,k<br />
) 2 ( √qj ) 2<br />
− ν m p m,k<br />
|h k | + σ<br />
2<br />
k<br />
|g j |<br />
M∑<br />
ν m P m<br />
m=1<br />
σ 2 j<br />
( √p<br />
∗<br />
m,k<br />
|h k | √ q ∗ j |g j|) 2<br />
)<br />
( √p ) 2 (<br />
∗<br />
m,k<br />
|h k | + σ<br />
2 √q ) 2<br />
− ν m p ∗ m,k<br />
∗<br />
k j |g j |<br />
M∑<br />
ν m P m<br />
m=1<br />
σ 2 j<br />
( √p<br />
∗<br />
m,k<br />
|h k | √ q ∗ j |g j|) 2<br />
)<br />
( √p ) 2 (<br />
∗<br />
m,k<br />
|h k | + σ<br />
2 √q ) 2<br />
− ν m p ∗ m,k<br />
∗<br />
k j |g j |<br />
) (<br />
+ (λ − λ) Q −<br />
K∑<br />
j=1<br />
q ∗ j<br />
)<br />
.<br />
K∑<br />
j=1<br />
q ∗ j<br />
)<br />
+<br />
M∑<br />
ν m P m<br />
S<strong>in</strong>ce the subgradient of a function<br />
(<br />
f at x is c that satisfies the <strong>in</strong>equality f(y) ≥<br />
f(x) + c(y − x) for any y [40], Q − ∑ )<br />
K<br />
j=1 q∗ j is exactly the subgradient ∆(λ). The<br />
subgradient ∆(ν m ) can be proved <strong>in</strong> a similar way.<br />
The optimal power allocation has complexity of O(MK 2 ) and each<br />
maximization operation <strong>in</strong> (2.29) requires a complexity of O(M). If the sub-gradient<br />
method requires I iterations to converge, the total complexity of the proposed<br />
scheme becomes O(IK 2 (2M + K)).<br />
m=1<br />
)<br />
)<br />
29