25 research outputs found
Artificial Intelligence-aided OFDM Receiver: Design and Experimental Results
Orthogonal frequency division multiplexing (OFDM) is one of the key
technologies that are widely applied in current communication systems.
Recently, artificial intelligence (AI)-aided OFDM receivers have been brought
to the forefront to break the bottleneck of the traditional OFDM systems. In
this paper, we investigate two AI-aided OFDM receivers, data-driven fully
connected-deep neural network (FC-DNN) receiver and model-driven ComNet
receiver, respectively. We first study their performance under different
channel models through simulation and then establish a real-time video
transmission system using a 5G rapid prototyping (RaPro) system for
over-the-air (OTA) test. To address the performance gap between the simulation
and the OTA test caused by the discrepancy between the channel model for
offline training and real environments, we develop a novel online training
strategy, called SwitchNet receiver. The SwitchNet receiver is with a flexible
and extendable architecture and can adapts to real channel by training one
parameter online. The OTA test verifies its feasibility and robustness to real
environments and indicates its potential for future communications systems. At
the end of this paper, we discuss some challenges to inspire future research.Comment: 29 pages, 13 figures, submitted to IEEE Journal on Selected Areas in
Communication
Distributed MIMO for wireless sensor networks
Over the past decade, wireless sensor networks have gained more research attention
for their potential applications in healthcare, defense, environmental monitoring, etc.
Due to the strict energy limitation in the sensor node, techniques used for energy
saving are necessary for this kind of network. MIMO technology is proven to be an
effective method of increasing the channel capacity and supporting higher data rate
under a fixed power budget and bit-error-rate requirement. So, wireless sensor
networks and MIMO technology are combined and investigated in this thesis.
The key contributions of this thesis are detailed below. Firstly, the extended total
energy consumption equations for different transmission modes in cluster-based
wireless sensor networks are derived. The transmitting energy consumption and the
circuit energy consumption are taken into account in both intra-cluster and
inter-cluster phases respectively.
Secondly, a resource allocation framework is proposed for cluster-based cooperative
MIMO on consideration of circuit energy. By introducing two adjusting parameters
for the transmitting energy and the time slot allocation between intra-cluster and
inter-cluster phases, this framework is designed to achieve the maximum data
throughput of the whole system whilst maintaining the capacity and outage
probability requirement in these two phases respectively.
Thirdly, on comparison of various transmission modes in wireless sensor networks, a
relatively energy-efficient mode switching framework is proposed for both single-hop
and multi-hop transmissions. Based on the destination and the neighboring nodes’
path-loss, the source node can decide which transmission mode, SISO or cooperative
MISO, single-hop or multi-hop, should be chosen. Conditions for each mode
switching are investigated. The possible existing area of the cooperative nodes and the
relaying nodes can be obtained from this framework
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Network coding in relay networks
Transmission over wireless networks presents multiple technical challenges due to
noise, interference, fading, power constraints and bandwidth limitation. Different
solutions have been propposed to overcome these issues and some of them are
treated here. Cooperative diversity has been proposed as an implementation for
networks where terminals are restricted to using physical arrays; this technique
implements space diversity by creating virtual antennas arrays with cooperating
nodes in order to combat multipath fading. Network Coding recently has been
presented as a technique to increase the throughput in multicast networks. Most
of the work done on the topic considers an error free transmission and few works
have taken into account the errors due to the nature of the wireless channel.
This thesis proposes the use of network coding over some scenarios in relay
networks, in order to obtain diversity. It also addresses some cooperative
protocols and their performance in terms of bit error rate. Reliability criteria
based on channel information are established for a practical network
implementation. In short, we propose a scheme for a wireless network using ideas
based on network coding