November 2015
doc.: IEEE 802.19-15/0094r1
Coexistence Management Considering
Interference Alignment
Date: 2015-11-06
Authors:
Name
Affiliations
Xin GUO
Sony China
[email protected]
Chen SUN
Sony China
[email protected]
Address
Phone
email
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
November 2015
doc.: IEEE 802.19-15/0094r1
Abstract
• This document proposes a general method that optimize the
utilization of spectrum among secondary users (SUs) while
maintaining the protection to primary users (PUs) based on
interference alignment (IA).
Submission
Slide 2
Chen SUN, Sony
November 2015
doc.: IEEE 802.19-15/0094r1
Objective of simulation
• In this document, we show the simulation results
for evaluating such new scenarios where
interference alignment is used at secondary users.
• By using the interference alignment more
secondary users can be accommodated while
maintaining protection to primary users (e.g.,
incumbent or PALs in 3.5GHz scenarios).
• Channel information can be shared among SUs to
provide better performance.
Submission
Slide 3
Chen SUN, Sony
November 2015
doc.: IEEE 802.19-15/0094r1
Simulation Scenario
• Multiple SSs coexist.
• The radius of the whole system
is set as 200 m, and the radius
of each Secondary Radio System
(SRS) is set as 20 m.
• The number of the transmitting
antennas is set as 4-8.
• Rayleigh channel model and the
free space path loss are
assumed.
• The complete CSI is known at
SU’s transmitter .
Submission
Slide 4
Chen SUN, Sony
November 2015
doc.: IEEE 802.19-15/0094r1
Simulation Parameters
Symbol
Definition
Value
f
NF
Frequency
Noise Floor
Number of transmitting antennas
5 GHz
-120 dBm
4
Number of receiving antennas
2
Radius of Secondary radio system
(SRS)
Distance between transmitting
antennas
200 m
Distance between SBS
1 m~400 m
R
length
d
Submission
Slide 5
0.5λ
Chen SUN, Sony
November 2015
doc.: IEEE 802.19-15/0094r1
Simulation Result 1: Allowed number of users
•
900
4×2
siso
800
Number of users admitted
700
600
•
500
400
300
200
•
100
0
-10
-5
0
5
10
15
20
When the number of
transmitted antennas
increases, the allowed access
number of users is
significantly improved.
The total allowed number of
users achieves a significant
improvement using IA-based
channel admission control
algorithm.
Note that co-channel
interference among users is
not considered in this figure
Tolerable INR withINR
coexisting
users (dB)
(dB)
Submission
Slide 6
Chen SUN, Sony
November 2015
doc.: IEEE 802.19-15/0094r1
Reference
[1] IEEE 802.19-15/0032r0, “The new coexistence use cases for
IEEE 802.19.1”
[2] Nosrat-Makouei, Behrang, Jeffrey G. Andrews, and Robert W.
Heath Jr. "A simple SINR characterization for linear interference
alignment over uncertain MIMO channels." Information Theory
Proceedings (ISIT), 2010 IEEE International Symposium on. IEEE,
2010, pp: 2288-2292
[3] Vin, H., Pawan Goyal, and Alok Goyal. "A statistical admission
control algorithm for multimedia servers." Proceedings of the
second ACM international conference on Multimedia. ACM, 1994
Submission
Slide 7
Chen SUN, Sony
November 2015
doc.: IEEE 802.19-15/0094r1
Annex: Flowchart and information exchange
SBSs
...
SBS1
Update position and
antenna direction angle
CM
Update position and
antenna direction
angle
PBS
Update position and
antenna direction angle
Calculate channel matrix
Spectrum access
request
• The threshold of the SUs’
number under the channel
state can be calculated to
deal with frequent changes
in the network, such as the
SUs’ accessing or leaving
the network.
Spectrum access request
Set the threshold of SU
number
SU selection algorithm
Feedback position and
antenna direction
angle of available SUs
Feedback position
and antenna
direction angle of
available SUs
Calculate channel
matrix and
interference matrix
Calculate channel
matrix and
interference matrix
Interference
Alignment
Interference
Alignment
Submission
Start/stop working
8
Chen SUN, Sony
November 2015
doc.: IEEE 802.19-15/0094r1
Simulation Result 2: BER performance
0
10
• IA can significantly
improve the BER
performance of PU.
• When the PU is working,
the SU’s performance
significantly decreases
but QoS can also be
ensured by IA.
-1
10
-2
BER
10
-3
10
PU（ w/o IA）
PU (w/ IA)
SU-j（ w/o IA）
SU-j（ w/ IA）
-4
10
-5
10
0
2
4
Submission
6
8
10
SNR/dB
12
14
16
18
Slide 9
20
Chen SUN, Sony