66 research outputs found
Wireless transmission protocols using relays for broadcast and information exchange channels
Relays have been used to overcome existing network performance bottlenecks in meeting the growing
demand for large bandwidth and high quality of service (QoS) in wireless networks. This thesis
proposes several wireless transmission protocols using relays in practical multi-user broadcast and
information exchange channels. The main theme is to demonstrate that efficient use of relays provides
an additional dimension to improve reliability, throughput, power efficiency and secrecy. First,
a spectrally efficient cooperative transmission protocol is proposed for the multiple-input and singleoutput
(MISO) broadcast channel to improve the reliability of wireless transmission. The proposed
protocol mitigates co-channel interference and provides another dimension to improve the diversity
gain. Analytical and simulation results show that outage probability and the diversity and multiplexing
tradeoff of the proposed cooperative protocol outperforms the non-cooperative scheme. Second,
a two-way relaying protocol is proposed for the multi-pair, two-way relaying channel to improve the
throughput and reliability. The proposed protocol enables both the users and the relay to participate
in interference cancellation. Several beamforming schemes are proposed for the multi-antenna
relay. Analytical and simulation results reveal that the proposed protocol delivers significant improvements
in ergodic capacity, outage probability and the diversity and multiplexing tradeoff if compared
to existing schemes. Third, a joint beamforming and power management scheme is proposed for
multiple-input and multiple-output (MIMO) two-way relaying channel to improve the sum-rate. Network
power allocation and power control optimisation problems are formulated and solved using
convex optimisation techniques. Simulation results verify that the proposed scheme delivers better
sum-rate or consumes lower power when compared to existing schemes. Fourth, two-way secrecy
schemes which combine one-time pad and wiretap coding are proposed for the scalar broadcast channel
to improve secrecy rate. The proposed schemes utilise the channel reciprocity and employ relays
to forward secret messages. Analytical and simulation results reveal that the proposed schemes are
able to achieve positive secrecy rates even when the number of users is large. All of these new wireless
transmission protocols help to realise better throughput, reliability, power efficiency and secrecy
for wireless broadcast and information exchange channels through the efficient use of relays
Performance Improvement in Muli-user MIMO Networks via Interference Alignment
Almost all wireless networks are interference limited. Interference management has been always a primary concern for large section of current wireless networks with exponentially growing devices, lack of centralized medium access, power management. Because of broadcast nature of the wireless channel, all signals from simultaneous transmissions from devices apart in the same space, are added to the desired signal at the receiver end. Therefore optimal spectrum efficiency in such systems mandates distributed, low complexity interference management strategies with very less overhead which should be far more superior than existing successive interference cancellation, highly complex multiuser detection techniques. In this thesis, a novel interference management scheme- “Interference alignment” scheme for multi user scenario is investigated and analysed supporting the arguments with numerical results for most scenarios. Firstly, the concept of interference channel, Degrees of Freedom were well established which are prerequisite in understanding the predicament of multi user wireless channels. Later on, interference alignment concept has been put forward stating its origin back from linear algebra. IA for K-user MIMO is studied. In a fully connected K-user network with perfect channel state information, IA minimizes the interference space dimension at intended receivers thus maximizing the achievable capacity of the entire channel and increasing the Multiplexing gain. Later on the idea of IA is extended to multi-hop networks. A practical cellular multi-hop wireless network is considered and distributed interference alignment technique is implemented which shows superior performance even in high interference case. All IA schemes assume that the channels are full rank richly scattered environments which in practise is not always possible. The idea of using relays to act as external scatters which increase the rank of effective channel observed is considered. So two novel distributed relaying schemes have been proposed modifying the existing IA scheme to fit the case for rank deficient channels and still achieve multiplexing gain on par with full rank channels. The proposed algorithms doesn’t require global channel state information at all nodes except at relay nodes, doesn’t need large symbol extensions, and still are able to enhance the sum capacity of the networ
Exploiting Diversity in Broadband Wireless Relay Networks
Fading is one of the most fundamental impairments to wireless communications. The standard approach to combating fading is by adding redundancy - or diversity - to help increase coverage and transmission speed. Motivated by the results in multiple-input multiple-output technologies, which are usually used at base stations or access points, cooperation commutation has been proposed to improve the performance of wireless networks which consist of low-cost single antenna devices. While the majority of the research in cooperative communication focuses on flat fading for its simplicity and easy analysis, in practice the underlying channels in broadband wireless communication systems such as cellular systems (UMTS/LTE) are more likely to exhibit frequency selective fading. In this dissertation, we consider a frequency selective fading channel model and explore distributed diversity techniques in broadband wireless relay networks, with consideration to practical issues such as channel estimation and complexity-performance tradeoffs. We first study a system model with one source, one destination and multiple decode-and-forward (DF) relays which share a single channel orthogonal to the source. We derive the diversity-multiplexing tradeoff (DMT) for several relaying strategies: best relay selection, random relay selection, and the case when all decoding relays participate. The best relay selection method selects the relay in the decoding set with the largest sum-squared relay-to-destination channel coefficients. This scheme can achieve the optimal DMT of the system at the expense of higher complexity, compared to the other two relaying strategies which do not always exploit the spatial diversity offered by the relays. Different from flat fading, we find special cases when the three relaying strategies have the same DMT. We further present a transceiver design and prove it can achieve the optimal DMT asymptotically. Monte Carlo simulations are presented to corroborate the theoretical analysis. We provide a detailed performance comparison of the three relaying strategies in channels encountered in practice. The work has been extended to systems with multiple amplify-and-forward relays. We propose two relay selection schemes with maximum likelihood sequential estimator and linear zero- forcing equalization at the destination respectively and both schemes can asymptotically achieve the optimal DMT. We next extend the results in the two-hop network, as previously studied, to multi-hop networks. In particular, we consider the routing problem in clustered multi-hop DF relay networks since clustered multi-hop wireless networks have attracted significant attention for their robustness to fading, hierarchical structure, and ability to exploit the broadcast nature of the wireless channel. We propose an opportunistic routing (or relay selection) algorithm for such networks. In contrast to the majority of existing approaches to routing in clustered networks, our algorithm only requires channel state information in the final hop, which is shown to be essential for reaping the diversity offered by the channel. In addition to exploiting the available diversity, our simple cross-layer algorithm has the flexibility to satisfy an additional routing objective such as maximization of network lifetime. We demonstrate through analysis and simulation that our proposed routing algorithm attains full diversity under certain conditions on the cluster sizes, and its diversity is equal to the diversity of more complicated approaches that require full channel state information. The final part of this dissertation considers channel estimation in relay networks. Channel state information is vital for exploiting diversity in cooperative networks. The existing literature on cooperative channel estimation assumes that block lengths are long and that channel estimation takes place within a fading block. However, if the forwarding delay needs to be reduced, short block lengths are preferred, and adaptive estimation through multiple blocks is required. In particular, we consider estimating the relay-to-destination channel in DF relay systems for which the presence of forwarded information is probabilistic since it is unknown whether the relay participates in the forwarding phase. A detector is used so that the update of the least mean square channel estimate is made only when the detector decides the presence of training data. We use the generalized likelihood ratio test and focus on the detector threshold for deciding whether the training sequence is present. We also propose a heuristic objective function which leads to a proper threshold to improve the convergence speed and reduce the estimation error. Extensive numerical results show the superior performance of using this threshold as opposed to fixed thresholds
Spectral-energy efficiency trade-off of relay-aided cellular networks
Wireless communication networks are traditionally designed to operate at high spectral
e ciency with less emphasis on power consumption as it is assumed that endless
power supply is available through the power grid where the cells are connected to. As
new generations of mobile networks exhibit decreasing gains in spectral e ciency, the
mobile industry is forced to consider energy reform policies in order to sustain the
economic growth of itself and other industries relying on it. Consequently, the energy
e ciency of conventional direct transmission cellular networks is being examined
while alternative green network architectures are also explored. The relay-aided cellular
network is being considered as one of the potential network architecture for energy
e cient transmission. However, relaying transmission incurs multiplexing loss due to
its multi-hop protocol. This, in turn, reduces network spectral e ciency. Furthermore,
interference is also expected to increase with the deployment of Relay Stations
(RSs) in the network. This thesis examines the power consumption of the conventional
direct transmission cellular network and contributes to the development of the
relay-aided cellular network.
Firstly, the power consumption of the direct transmission cellular network is investigated.
While most work considered transmitter side strategies, the impact of the
receiver on the Base Station (BS) total power consumption is investigated here. Both
the zero-forcing and minimum mean square error weight optimisation approaches are
considered for both the conventional linear and successive interference cancellation
receivers. The power consumption model which includes both the radio frequency
transmit power and circuit power is described. The in
uence of the receiver interference
cancellation techniques, the number of transceiver antennas, circuit power
consumption and inter-cell interference on the BS total power consumption is investigated.
Secondly, the spectral-energy e ciency trade-o in the relay-aided cellular network is
investigated. The signal forwarding and interference forwarding relaying paradigms
are considered with the direct transmission cellular network taken as the baseline.
This investigation serves to understand the dynamics in the performance trade-o .
To select a suitable balance point in the trade-o , the economic e ciency metric is
proposed whereby the spectral-energy e ciency pair which maximises the economic
pro tability is found. Thus, the economic e ciency metric can be utilised as an alternative
means to optimise the relay-aided cellular network while taking into account
the inherent spectral-energy e ciency trade-o .
Finally, the method of mitigating interference in the relay-aided cellular network is
demonstrated by means of the proposed relay cooperation scheme. In the proposed
scheme, both joint RS decoding and independent RS decoding approaches are considered
during the broadcast phase while joint relay transmission is employed in the
relay phase. Two user selection schemes requiring global Channel State Information
(CSI) are considered. The partial semi-orthogonal user selection method with reduced
CSI requirement is then proposed. As the cooperative cost limits the practicality of
cooperative schemes, the cost incurred at the cooperative links between the RSs is
investigated for varying degrees of RS cooperation. The performance of the relay
cooperation scheme with di erent relay frequency reuse patterns is considered as well.
In a nutshell, the research presented in this thesis reveals the impact of the receiver on
the BS total power consumption in direct transmission cellular networks. The relayaided
cellular network is then presented as an alternative architecture for energy
e cient transmission. The economic e ciency metric is proposed to maximise the
economic pro tability of the relay network while taking into account the existing
spectral-energy e ciency trade-o . To mitigate the interference from the RSs, the
relay cooperation scheme for advanced relay-aided cellular networks is proposed
Cellular Multi-User Two-Way MIMO AF Relaying via Signal Space Alignment: Minimum Weighted SINR Maximization
In this paper, we consider linear MIMO transceiver design for a cellular
two-way amplify-and-forward relaying system consisting of a single
multi-antenna base station, a single multi-antenna relay station, and multiple
multi-antenna mobile stations (MSs). Due to the two-way transmission, the MSs
could suffer from tremendous multi-user interference. We apply an interference
management model exploiting signal space alignment and propose a transceiver
design algorithm, which allows for alleviating the loss in spectral efficiency
due to half-duplex operation and providing flexible performance optimization
accounting for each user's quality of service priorities. Numerical comparisons
to conventional two-way relaying schemes based on bidirectional channel
inversion and spatial division multiple access-only processing show that the
proposed scheme achieves superior error rate and average data rate performance
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