Yansha Deng
King's College London, Informatics, Post-Doc
- Please visit my personal website for more details:
http://www.yanshadeng.org/edit
—We investigate beamforming and artificial noise generation at the secondary transmitters to establish secure transmission in large scale spectrum sharing networks, where multiple non-colluding eavesdroppers attempt to intercept the... more
—We investigate beamforming and artificial noise generation at the secondary transmitters to establish secure transmission in large scale spectrum sharing networks, where multiple non-colluding eavesdroppers attempt to intercept the secondary transmission. We develop a comprehensive analytical framework to accurately assess the secrecy performance under the primary users' quality of service constraint. Our aim is to characterize the impact of beamforming and artificial noise generation (BF&AN) on this complex large scale network. We first derive exact expressions for the average secrecy rate and the secrecy outage probability. We then derive an easy-to-evaluate asymptotic average secrecy rate and asymptotic secrecy outage probability when the number of antennas at the secondary transmitter goes to infinity. Our results show that the equal power allocation between the useful signal and artificial noise is not always the best strategy to achieve maximum average secrecy rate in large scale spectrum sharing networks. Another interesting observation is that the advantage of BF&AN over BF on the average secrecy rate is lost when the aggregate interference from the primary and secondary transmitters is strong, such that it overtakes the effect of the generated AN.
Research Interests:
We consider transmit antenna selection with receive generalized selection combining (TAS/GSC) for cognitive decodeand- forward (DF) relaying in Nakagami-m fading channels. In an effort to assess the performance, the probability density... more
We consider transmit antenna selection with receive
generalized selection combining (TAS/GSC) for cognitive decodeand-
forward (DF) relaying in Nakagami-m fading channels. In
an effort to assess the performance, the probability density
function and the cumulative distribution function of the endto-
end SNR are derived using the moment generating function,
from which new exact closed-form expressions for the outage
probability and the symbol error rate are derived. We then
derive a new closed-form expression for the ergodic capacity.
More importantly, by deriving the asymptotic expressions for
the outage probability and the symbol error rate, as well
as the high SNR approximations of the ergodic capacity, we
establish new design insights under the two distinct constraint
scenarios: 1) proportional interference power constraint, and 2)
fixed interference power constraint. Several pivotal conclusions
are reached. For the first scenario, the full diversity order of the
outage probability and the symbol error rate is achieved, and
the high SNR slope of the ergodic capacity is 1/2. For the second
scenario, the diversity order of the outage probability and the
symbol error rate is zero with error floors, and the high SNR
slope of the ergodic capacity is zero with capacity ceiling.
generalized selection combining (TAS/GSC) for cognitive decodeand-
forward (DF) relaying in Nakagami-m fading channels. In
an effort to assess the performance, the probability density
function and the cumulative distribution function of the endto-
end SNR are derived using the moment generating function,
from which new exact closed-form expressions for the outage
probability and the symbol error rate are derived. We then
derive a new closed-form expression for the ergodic capacity.
More importantly, by deriving the asymptotic expressions for
the outage probability and the symbol error rate, as well
as the high SNR approximations of the ergodic capacity, we
establish new design insights under the two distinct constraint
scenarios: 1) proportional interference power constraint, and 2)
fixed interference power constraint. Several pivotal conclusions
are reached. For the first scenario, the full diversity order of the
outage probability and the symbol error rate is achieved, and
the high SNR slope of the ergodic capacity is 1/2. For the second
scenario, the diversity order of the outage probability and the
symbol error rate is zero with error floors, and the high SNR
slope of the ergodic capacity is zero with capacity ceiling.
Research Interests:
We propose cognitive spectrum sharing with generalized selection combining (GSC) at the secondary user (SU) in the presence of multiple primary transceivers with outdated channel information. Our main motivation is to determine the impact... more
We propose cognitive spectrum sharing with generalized
selection combining (GSC) at the secondary user (SU)
in the presence of multiple primary transceivers with outdated
channel information. Our main motivation is to determine the
impact of GSC and outdated channel information on the outage
probabiliy of cognitive spectrum sharing subject to two practical
power constraints: 1) maximum transmit power at the SU
transmitter, and 2) peak interference temperature at the PU
receiver. We derive new closed-form expressions for the exact
and asymptotic outage probability in Rayleigh fading. Our
expressions provide concise representations of the diversity order
and the array gain. We confirm that the diversity order of
GSC is entirely dependent on the secondary network and is
equal to the available number of receive antennas at the SU.
This result is consistent with those of maximal-ratio combining
(MRC) and selection combining (SC) in cognitive spectrum
sharing. More importantly, our results show that the outage
probability decreases with increasing the correlation coefficient
of the outdated channel.
selection combining (GSC) at the secondary user (SU)
in the presence of multiple primary transceivers with outdated
channel information. Our main motivation is to determine the
impact of GSC and outdated channel information on the outage
probabiliy of cognitive spectrum sharing subject to two practical
power constraints: 1) maximum transmit power at the SU
transmitter, and 2) peak interference temperature at the PU
receiver. We derive new closed-form expressions for the exact
and asymptotic outage probability in Rayleigh fading. Our
expressions provide concise representations of the diversity order
and the array gain. We confirm that the diversity order of
GSC is entirely dependent on the secondary network and is
equal to the available number of receive antennas at the SU.
This result is consistent with those of maximal-ratio combining
(MRC) and selection combining (SC) in cognitive spectrum
sharing. More importantly, our results show that the outage
probability decreases with increasing the correlation coefficient
of the outdated channel.