September 2016
doc.: IEEE 802.19-16/0149r0
CID 161 resolution
Spectrum management of GCOs with different
priority levels
Date: 2016-09-11
Authors:
Name
Affiliations
Address
Phone
email
Chen SUN
Sony China
[email protected]
Xin GUO
Naotaka SATO
Sony China
Sony
[email protected]
Sho FURUICHI
Sony
[email protected]
[email protected]
Notice: This document has been prepared to assist IEEE 802.19. It is offered as a basis for discussion and is not binding on the
contributing individual(s) or organization(s). The material in this document is subject to change in form and content after
further study. The contributor(s) reserve(s) the right to add, amend or withdraw material contained herein.
Submission
Slide 1
Chen SUN, Sony
September 2016
doc.: IEEE 802.19-16/0149r0
Abstract
• This document proposes frequency allocation of
systems with different priority levels
Submission
Slide 2
Chen SUN, Sony
September 2016
doc.: IEEE 802.19-16/0149r0
Motivation/Introduction
 In the multi-priority network architecture, the spectrum
allocation of high-priority GCO directly affect the available
spectrum left to the low-priority GCO.
 In literature, the existing spectrum allocation algorithms for
high-priority GCO did not consider the low-priority GCOs.
 Spectrum allocation by individual CM results in:
 Co-channel interference between GCOs managed by different CMs
 Low spectrum efficiency
Submission
Slide 3
Chen SUN, Sony3
September 2016
doc.: IEEE 802.19-16/0149r0
System Model
CM1
CM2
GCO1
GCO2
Interference set
managed by CM1
Interference set
corresponding to CM2
: High-priority GCO managed by CM1
: Low-priority GCO managed by CM1
: High-priority GCO managed by CM2
: Low-priority GCO managed by CM2
: Harmful interference
Interference set includes the high-priority GCO (secondary system) which generates
harmful interference to the low-priority GCO or gets interfered by the low-priority GCO.
Submission
Slide 4
Chen SUN, Sony4
September 2016
doc.: IEEE 802.19-16/0149r0
Formulated Problem
 How to optimize the spectrum allocation for high-priority
GCOs to increase the available spectrum of low-priority
GCOs?
The available spectrum of the mth low-priority GCO (Am) is defined by:
Am  N  N Im
Note:  m is the interference set corresponding to
the mth low-priority GCO;
N is the number of total available channels
for high-priority and low-priority GCOs;
N m is the number of channels occupied by
high-priority GCOs in the interference
set.
Interference set
: High-priority GCO
: Low-priority GCO
: Harmful interference
To avoid harmful interference to the primary system, secondary system (GCO) and
primary system (PS) use different spectrum.
Submission
Slide 5
Chen SUN, Sony5
September 2016
doc.: IEEE 802.19-16/0149r0
Proposed Initial Solution/Algorithm
 Interference set-based clustering and spectrum allocation
 Increasing the available spectrum of low-priority GCOs can be converted
to reduce the number of channels occupied by high-priority GCOs in the
interference set
 The number of clusters is equal to the number of channels
ML

min   m
m 1

H
 s.t. Pi H  Pmax
, i  1,..., M H 

L
L
P

P
, m  1,..., M L 
m
max


H
HH 
Pi  di ,i 
H


SINR
th
,i
M
H

H
HH 
i , j Pj  di , j   N 0



j 1, j  i
Note:  m is the interference set corresponding to the mth low-priority GCO
 m is the number of clusters corresponding to the mth interference set
1, co-channel
th and jth high-priority GCOs are co-channel  
represent
whether
the
i
i , j
0, not co-channel

Submission
Slide 6
Chen SUN, Sony6
September 2016
doc.: IEEE 802.19-16/0149r0
List of Parameters
m
Parameters
m
Notation
Interference set corresponding to the mth low-priority GCO
m
Cluster corresponding to the mth interference set
Pi H
Number of clusters corresponding to the mth interference set
PmL
Transmit power of the ith high-priority GCO
H
Pmax
Transmit power of the mth low-priority GCO
L
Pmax
Maximum transmit power of the high-priority GCO
diHH
,j
Maximum transmit power of the low-priority GCO
diHH
,i

Euclidean distance between the jth GCOtransmitter and the ith GCOreceiver
Euclidean distance between the ith GCOtransmitter and its desired receiver
Path loss exponent
MH
Number of high-priority GCOs
ML
Number of low-priority GCOs
SINRthH,i
SINR threshold of the ith high-priority GCO receiver
i , j
i , j  1: the ith and jth GCOs are co-channel i , j  0
Submission
Slide 7
: the ith and jth GCOs are not co-channel
Chen SUN, Sony7
September 2016
doc.: IEEE 802.19-16/0149r0
Block Diagram of Proposed Solution/Algorithm
Start
(P#1)
Coexistence discovery
CDIS operation
CM operation
(BC#1)
Coexistence needed?
Yes
(P#2) Determine the interference set
of high priority GCOs
No
(P#3) Allocate spectrum of high
priority GCOs that are in the
interference set
(P#4) Allocate spectrum of high
priority GCOs that are not in the
interference set
Yes
In p#5, GCOs that can use the same
channels are packed into the same
cluster as long as the SINR
requirement is guaranteed.
Submission
(P#7) No
reconfiguration
(P#5) Allocate spectrum of low priority
GCOs
(P#6) Send reconfiguration
information to the WSO
Slide 8
Chen SUN, Sony8
September 2016
doc.: IEEE 802.19-16/0149r0
Simulation Scenario
• Multiple GCOs with different priority coexist, and at a given
time in each system there is only one pair of users.
• The radius of each GCO is 20 m.
• The transmitter is located at the center while the receiver is at
the cell edge.
• Low-priority GCOs are fixed, and high-priority GCOs are
uniformly random distribution.
Submission
Slide 10
10
Chen SUN, Sony
September 2016
doc.: IEEE 802.19-16/0149r0
Simulation Settings
Parameters
Value
Number of high-priority GCOs
8
Number of low-priority GCOs
1
SINR threshold (SINRth)
15 dB
Transmit power
0 dBm
Path loss exponent
3
Number of the available channels
5
Submission
Slide 11
11
Chen SUN, Sony
September 2016
doc.: IEEE 802.19-16/0149r0
Objective of Simulation
 To show our method can increase the available spectrum of
the low-priority GCO
 To show our method can ensure QoS requirements (e.g. SINR)
of high-priority GCOs
Submission
Slide 12
Chen SUN, Sony12
September 2016
doc.: IEEE 802.19-16/0149r0
Simulation of Interference Set
150
Interference set and noninterference set
Transmitter
Receiver
100
Blue: low-priority GCO
Red: high-priority GCOs
(i.e., interference set
GCOs)
Black: high-priority GCOs
(i.e., non-interference
GCOs)
y (m)
50
0
-50
-100
-150
-150
-100
-50
0
x (m)
50
100
150
Interference set GCOs mean high-priority GCOs which generate harmful interference to the
low-priority GCO or get interfered by the low-priority GCO.
Submission
Slide 13
Chen SUN, Sony13
September 2016
doc.: IEEE 802.19-16/0149r0
Simulation of Clustering (1/2)
150
Transmitter
Receiver
The clustering results of proposed
clustering procedure without
considering interference set
100
 C = 3
Blue:
Low-priority GCO
Yellow: Cluster 1
Magenta: Cluster 2
Green:
Cluster 3
y (m)
50
Interference set
GCOs
0
-50
-100
-150
-150
-100
-50
0
x (m)
50
100
150
Note:  is the interference set
C is the number of clusters corresponding to the interference GCOs within the
proposed approach without considering interference set
Submission
Slide 14
Chen SUN, Sony 14
September 2016
doc.: IEEE 802.19-16/0149r0
Simulation of Clustering (2/2)
150
The clustering results of
proposed clustering procedure
considering interference set
Transmitter
Receiver
100
50
IS

y (m)
C =2
Blue:
Low-priority GCO
Yellow: Cluster 1
Magenta: Cluster 2
Green: Cluster 3
Interference set
GCOs
0
-50
-100
-150
-150
-100
-50
0
x (m)
50
100
150
Note: CIS is the number of clusters corresponding to the interference GCOs within
the proposed approach without considering interference set
Conclusion: the proposed clustering procedure considering the interference set
results in more available channels for the low-priority GCO
Submission
Slide 15
Chen SUN, Sony15
September 2016
doc.: IEEE 802.19-16/0149r0
Simulation results (2/2)
 Change the locations of the 8 high-priority GCOs (500 simulation runs), and
get the probability of several events
Events
Using Proposed
Using Proposed
Clustering Procedure
Clustering Procedure
without interference set with interference set
The percentage of trial that two
methods win over the sequential
coloring approach [11]
83.7%
99%
Conclusion: The number of clusters can be reduced with the proposed clustering
procedure considering interference set (as compared to that without
considering interference set )
[11] Q. Zhang, X. Zhu, L. Wu, and K. Sandrasegaran, “A Coloring-based Resource Allocation for OFDMA Femtocell
Networks,” IEEE Wireless Communications and Networking Conference (WCNC), 2013, pp. 673-678.
Submission
Slide 16
Chen SUN, Sony16
September 2016
doc.: IEEE 802.19-16/0149r0
Simulation of Clustering (CDF)
 change the locations of the
8 GCOs (1000 simulation
runs), and get the CDF of
number of clusters
corresponding to the
interference GCOs.
1
0.9
0.8
0.7
CDF
0.6
0.5
0.4
0.3
Clustering procedure
considering interference set
Sequential coloring
Clustering procedure without
considering interference set
0.2
0.1
0
0
1
2
3
4
5
6
7
8
9
Number of clusters corresponding to the interference SSs
10
Conclusion: the proposed clustering procedure considering interference set shows
better performance in reducing the number of clusters corresponding to the
interference GCOs.
Submission
Slide 17
Chen SUN, Sony17
September 2016
doc.: IEEE 802.19-16/0149r0
Conclusion
1.
2.
3.
4.
Propose an resource allocation method for GCOs with different priority
levels in order to make the spectrum allocation for high-priority GCOs
so that the available frequency of low-priority GCOs is increased.
Form the cluster for the high-priority GCOs belong to the interference
set firstly, then form the cluster for the high-priority GCOs not belong
to the interference set.
Propose the clustering procedure about the principle of selecting the
first cluster member and other cluster members. Each cluster uses the
same frequency
Allocate the spectrum to high-priority GCOs based on the results of
clustering. Determine the available spectrum for low-priority GCOs
based on the interference set and results of clustering.
Submission
Slide 18
18
Chen SUN, Sony