248 research outputs found
Asymptotic Capacity of Large Relay Networks with Conferencing Links
In this correspondence, we consider a half-duplex large relay network, which
consists of one source-destination pair and relay nodes, each of which is
connected with a subset of the other relays via signal-to-noise ratio
(SNR)-limited out-of-band conferencing links. The asymptotic achievable rates
of two basic relaying schemes with the "-portion" conferencing strategy are
studied: For the decode-and-forward (DF) scheme, we prove that the DF rate
scales as ; for the amplify-and-forward (AF) scheme, we
prove that it asymptotically achieves the capacity upper bound in some
interesting scenarios as goes to infinity.Comment: submitted to IEEE Transactions on Communication
Cooperative Transmission Techniques in Wireless Communication Networks
Cooperative communication networks have received significant interests from both
academia and industry in the past decade due to its ability to provide spatial diversity
without the need of implementing multiple transmit and/or receive antennas at the
end-user terminals. These new communication networks have inspired novel ideas
and approaches to find out what and how performance improvement can be provided
with cooperative communications. The objective of this thesis is to design and analyze
various cooperative transmission techniques under the two common relaying signal
processing methods, namely decode-and-forward (DF) and amplify-and-forward
(AF).
For the DF method, the thesis focuses on providing performance improvement
by mitigating detection errors at the relay(s). In particular, the relaying action is
implemented adaptively to reduce the phenomenon of error propagation: whether or
not a relay’s decision to retransmit depends on its decision variable and a predefined
threshold. First, under the scenario that unequal error protection is employed to
transmit different information classes at the source, a relaying protocol in a singlerelay
network is proposed and its error performance is evaluated. It is shown that
by setting the optimal signal-to-noise ratio (SNR) thresholds at the relay for different
information classes, the overall error performance can be significantly improved.
Second, for multiple-relay networks, a relay selection protocol, also based on SNR
thresholds, is proposed and the optimal thresholds are also provided. Third, an
adaptive relaying protocol and a low-complexity receiver are proposed when binary
frequency-shift-keying (FSK) modulation is employed and neither the receiver nor the
transmitter knows the fading coefficients. It is demonstrated that large performance
improvements are possible when the optimal thresholds are implemented at the relays
and destination. Finally, under the scenario that there is information feedback
from the destination to the relays, a novel protocol is developed to achieve the maximum
transmission throughput over a multiple-relay network while the bit-error rate
satisfies a given constraint.
With the AF method, the thesis examines a fixed-gain multiple-relay network
in which the channels are temporally-correlated Rayleigh flat fading. Developed is
a general framework for maximum-ratio-combining detection when M-FSK modulation
is used and no channel state information is available at the destination. In
particular, an upper-bound expression on the system’s error performance is derived
and used to verify that the system achieves the maximal diversity order. Simulation
results demonstrate that the proposed scheme outperforms the existing schemes for
the multiple-relay network under consideration
Successive DF relaying: MS-DIS aided interference suppression and three-stage concatenated architecture design
Conventional single-relay aided two-phase cooperative networks employing coherent detection algorithms incur a significant 50% throughput loss. Furthermore, it is unrealistic to expect that in addition to the task of relaying, the relay-station would dedicate further precious resources to the estimation of the source-relay channel in support of coherent detection. In order to circumvent these problems, we propose decode and-forward (DF) based successive relaying employing noncoherent detection schemes. A crucial challenge in this context is that of suppressing the successive relaying induced interference, despite dispensing with any channel state information (CSI). We overcome this challenge by introducing a novel adaptive Newton algorithm based multiple-symbol differential interference suppression (MS-DIS) scheme. Correspondingly, a three-stage concatenated transceiver architecture is devised. We demonstrate that our proposed system is capable of near-error-free transmissions at low signal-to-noise ratios
Cooperative strategies design based on the diversity and multiplexing tradeoff
This thesis focuses on designing wireless cooperative communication strategies that are
either optimal or near-optimal in terms of the tradeoff between diversity and multiplexing
gains. Starting from classical cooperative broadcast, multiple-access and relay channels
with unit degree of freedom, to more general cooperative interference channels with
higher degrees of freedom, properties of different network topologies are studied and
their unique characteristics together with several advanced interference management
techniques are exploited to design cooperative transmission strategies in order to enhance
data rate, reliability or both at the same time. Moreover, various algorithms are
proposed to solve practical implementation issues and performance is analyzed through
both theoretical verifications and simulations
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