Presentation of my paper on radio resource management in HetNet at IEEE WCNC 2018. The full paper can be downloaded here: https://vbn.aau.dk/en/publications/joint-resource-allocation-for-dual-band-heterogeneous-wireless-ne

1. Joint Resource Allocation for Dual - Band
Heterogeneous Wireless Network
April 18, 2018
Ramoni Adeogun,PhD
Email: ra@es.aau.dk
Department of Electronic Systems
Aalborg University
Denmark

2. Ramoni Adeogun,PhD Email: ra@es.aau.dk | Joint Resource Allocation for Dual - Band Heterogeneous Wireless Network
1Contributions
Investigate downlink resource allocation in dual band two–tier
heterogeneous networks
• Macrocell operate on microwave frequency.
• Small cells utilizes both mmWave and microwave frequencies.
Propose a non-cooperative game for adaptive frequency
selection/switching
• Each SC has knowledge of user locations and CSI
• Minimizes interference to macrocell users
Formulate the resource allocation problem
• Maximization of system sum-rate
• Minimization of total power consumption and interference to
macrocell users

3. Ramoni Adeogun,PhD Email: ra@es.aau.dk | Joint Resource Allocation for Dual - Band Heterogeneous Wireless Network
2System Model
We consider the downlink of a
two-tier dual band HetNet
• Number of UEs N = Nm + P
p=1 Np
• SCs has capability for simultaneous
dual band transmission
Decisions to be made by SCs
• The transmission frequency to
serve each UE.
• The RB to be used for transmission
to SUEs.
• The transmit power to each user.

4. Ramoni Adeogun,PhD Email: ra@es.aau.dk | Joint Resource Allocation for Dual - Band Heterogeneous Wireless Network
3System Model (2)
Received signal at each UE
y[n,p,m] = h[n,p,m]s[n,p,m]
desired signal
+
Np
q=1
q=p
h[n,p,m]s[n,q,m]
intracell interference
+
P
r=0
r=n
h[r,p,m]
Nr
u=1
s[r,u,m]
intercell interference
+ ρ[n]
noise
SINR for the [n, p, m]th SUE
γ[n,p,m] =
|h[n,p,m]|2
Np
q=1
q=p
|h[n,p,m]|2 + P
r=1
r=n
|h[r,p,m]|2 + σ2
[p]
Per user rate
R[n,p,m] = BRB log2 1 + γ[n,p,m]

5. Ramoni Adeogun,PhD Email: ra@es.aau.dk | Joint Resource Allocation for Dual - Band Heterogeneous Wireless Network
4Problem Formulation
System sum rate
R[n] =
P
p=1
M
m=1
U
u=1
ν[u,m]ϑ[p,k,m]RRB log2 1 + γ[n,p,m]
The RA problem can be formulated as
max
ϑ,ν,ϕ
N
n=1
P
p=1
M
m=1
U
u=1
ν[u,m]ϑ[p,k,m]BRB log2 1 + γ[n,p,m]
subject to
ν[u,m] ∈ {0, 1}, ∀m = 1, 2, · · · , M
ϑ[p,k,m] ∈ {0, 1}, ∀k ∈ Kp; ∀p ∈ P
P
p=1



Np
k=1
ϑ[p,k,m]


 g[p,m]|h[n,0,m]|2 ≤ I
maxm ; ∀m
P
p=1



Np
k=1
ϑ[p,k,m]


 g[p,m] ≤ Gmax; ∀p
ϕ[p,k] =
[0 1]; 0 ≤ d[p,k] ≤ d1
[1 0]; d1 < d[p,k] ≤ d2

6. Ramoni Adeogun,PhD Email: ra@es.aau.dk | Joint Resource Allocation for Dual - Band Heterogeneous Wireless Network
5Adaptive Radius Resource Allocation
Two stage optimization:
• Location-aware frequency selection
• Resource (RB and power level)
allocation.
Adaptive Frequency Switching
• Minimization of the total interference
min
f
P
p=1



Np
k=1
ϑ[p,k,m]


 g[p,m]|h[n,0,m]|2
subject to
ϑ[p,k,m] ≥ 0, ∀k ∈ Kp; ∀p ∈ P
f ∈ [fmc fmm]
• P-player non-cooperative game
G = (P, {S[p]}p∈P , {u[p]}p∈P )
• Utility function and strategy set:
ˆu[p](s) =
Np
k=1
ϑ[p,k,m]g[p,m]|h[n,0,m]|
2
− βS[p]

7. Ramoni Adeogun,PhD Email: ra@es.aau.dk | Joint Resource Allocation for Dual - Band Heterogeneous Wireless Network
6Adaptive Radius Resource Allocation
Resource Allocation
Maximization of
system sum rate
• minimum power
constraint
• minimum interference
constraints
System
Definition
CSI and
Location
information
exchange
Frequency
Switching
All
users
on
mm-
Wave?
All
users
on
mc-
Wave?
Co-tier
Interference
Analysis
Cross-tier
Interference
Analysis
Interference
Analysis
Resource
Allocation
Yes
No
Yes
No

8. Ramoni Adeogun,PhD Email: ra@es.aau.dk | Joint Resource Allocation for Dual - Band Heterogeneous Wireless Network
7Simulation Results
Simulation Settings:
Parameters fMC NSC fSC RMC RSC PL SD
Value 2.1, GHz 10–20 2.1/38, GHz 900 m 80 m 4/3.8 8 dB
Results:
−800 −600 −400 −200 0 200 400 600 800
−800
−600
−400
−200
0
200
400
600
800
MBS
MUE
SBS
SUE
High density of neighbouring MUEs result in large mmWave radius.
Those with low density of MUEs have small mmWave radius.

9. Ramoni Adeogun,PhD Email: ra@es.aau.dk | Joint Resource Allocation for Dual - Band Heterogeneous Wireless Network
8Simulation Results (2)
10-3
10-2
10-1
100
Maximum SBS Transmit Power [Gmax
]
0
50
100
150
200
250
SBSSumRate[Mbps]
DB- 20 MUEs
DB - 10 MUEs
SS - 20 MUEs
SS - 10 MUEs
20 25 30 35 40
Maximum MBS Transmit Power [W]
0
50
100
150
200
250
SBSSumRate[Mbps]
DB - 10 MUEs
DB - 20 MUEs
SS - 10 MUEs
SS - 20 MUEs

10. Ramoni Adeogun,PhD Email: ra@es.aau.dk | Joint Resource Allocation for Dual - Band Heterogeneous Wireless Network
9Conclusion
Presented a framework for resource allocation optimization in
dual band heterogeneous networks
Network comprizes of dual band (microwave and millimter wave)
small cells
• Two stage optimization for resource allocation proposed:
• A simple game with SCs as players for adaptive frequency
switching.
• Maximization of sum-rate and minimization of total power for RB
and power allocations.

11. Thanks for your attention!