Multiuser OFDM with Adaptive Subcarrier, Bit and Power Allocation

Multiuser OFDM with Adaptive
Subcarrier, Bit and
Power Allocation
(IEEE JOURNAL ON SELECTED AREAS IN
COMMUNICATIONS, VOL. 17, NO. 10, OCTOBER 1999)
Outline






Motivation for Multiuser OFDM
Bit Allocation Algorithm for Single User
Multiuser Subcarrier and Bit Allocation
Algorithm
Simulation Results
Conclusions
References
Motivation


Orthogonal Frequency Division Multiplexing
(OFDM) provides a transmission scheme to avoid
frequency selective fading in a wide band wireless
communications.
How to allocate different user to use different
subcarriers with adaptive optimal bit (modulation)
and power becomes an interesting problem in a
wireless multiuser environment.
Motivation
Multiple Access Schemes
System Model
Problem Formulation




 k ,n-magnitude of the channel gain
Assume N=1
o for all users
f k (c )required received power
Then the transmitted power:
Pk ,n 
f k (c
k ,n
 k2,n
)
Problem Formulation
P
*
T
 min
Ck ,n D
N
K
 
n 1
k 1
f k ( ck ,n )

2
k ,n
Bit Allocation Algorithm for Single User

Greedy Algorithm
N
P  min 
*
T
Cn
D
N
n 1
R   cn
f(c )
n
 n2
Initializa tion :
for all n, let cn  0 and Pn  [ f (1)  f (0)] /  n2
Bit Assignment Iterations :
Repeat the following R times :

n  arg min
n 1
n
Pn ;
c   c   1;
n
n
P  [ f (c   1)  f (c  )] /  2 ;
c
n
n
n
End;
{cn }nN1 is the final bit allocation solution.
back
Multiuser Subcarrier and Bit Allocation
Algorithm


As users can not share the same subcarrier,
this dependency makes the greedy
algorithm a non-optimal solution.
Some relaxations on previous problem
have to be made.
to
Relaxzation of the Constraints

] a real number and introduce
Let c k ,n  [ o , Mbe
another variable k ,n[ 0,1]
PT 
N
min
K
 
C k , n [ o , M ] n 1
 k , n[ 0,1]
k 1
 k ,n f k ( c
k ,n
)
 k2,n
rk ,n  ck ,n  k ,n
Lagrangian Optimization

Using the Lagrangian Multipliers to solve
the problem
Lagrangian Optimization
 k ,n  0
Lagrangian Optimization
 k ,n  0
Optimal Solution
Optimal Solution (Cont)

The nth subcarrier are selected by the kth user if

To satisfy the bit rate requirement, increase
 =>H decrease =>  will increase the pr to
become 1 to transmit data
However, optimal ck ,nmay be not an interger


Multiuser Adaptive OFDM (MAO)

Satisfy the constraint:
PT  min
N
 
[ o , M ]
n 1
 k , n[ 0,1]
Ck , n



K
k 1
 k ,n f k ( c
k ,n
)
 k2,n
Using the optimal method to decide the
proper carrier for a specific user.
Then use the single user bits allocation
algorithm to satisfy its data rate requiremet.
Note that
to
Simulation Results

The required power for supporting c
bits/symbol at a given BER Pe:
Simulation Results
Simulation Results
Simulation Results
Simulation Results
Simulation Results
Conclusions


The proposed MAO outperforms than the
conventional MA techniques in an OFDM system.
Quantify the performance improvement in terms
of SNR, BER and Outage Pr.
References

Multiuser OFDM with Adaptive Subcarrier, Bit,
and Power Allocation (IEEE JOURNAL ON
SELECTED AREAS IN COMMUNICATIONS,
VOL. 17, NO. 10, OCTOBER 1999)

Digital Communication, Prokis, 4th edition

Wireless Communications, Rappaport,2nd edition