319 research outputs found
Separation Framework: An Enabler for Cooperative and D2D Communication for Future 5G Networks
Soaring capacity and coverage demands dictate that future cellular networks
need to soon migrate towards ultra-dense networks. However, network
densification comes with a host of challenges that include compromised energy
efficiency, complex interference management, cumbersome mobility management,
burdensome signaling overheads and higher backhaul costs. Interestingly, most
of the problems, that beleaguer network densification, stem from legacy
networks' one common feature i.e., tight coupling between the control and data
planes regardless of their degree of heterogeneity and cell density.
Consequently, in wake of 5G, control and data planes separation architecture
(SARC) has recently been conceived as a promising paradigm that has potential
to address most of aforementioned challenges. In this article, we review
various proposals that have been presented in literature so far to enable SARC.
More specifically, we analyze how and to what degree various SARC proposals
address the four main challenges in network densification namely: energy
efficiency, system level capacity maximization, interference management and
mobility management. We then focus on two salient features of future cellular
networks that have not yet been adapted in legacy networks at wide scale and
thus remain a hallmark of 5G, i.e., coordinated multipoint (CoMP), and
device-to-device (D2D) communications. After providing necessary background on
CoMP and D2D, we analyze how SARC can particularly act as a major enabler for
CoMP and D2D in context of 5G. This article thus serves as both a tutorial as
well as an up to date survey on SARC, CoMP and D2D. Most importantly, the
article provides an extensive outlook of challenges and opportunities that lie
at the crossroads of these three mutually entangled emerging technologies.Comment: 28 pages, 11 figures, IEEE Communications Surveys & Tutorials 201
A Tutorial on Nonorthogonal Multiple Access for 5G and Beyond
Today's wireless networks allocate radio resources to users based on the
orthogonal multiple access (OMA) principle. However, as the number of users
increases, OMA based approaches may not meet the stringent emerging
requirements including very high spectral efficiency, very low latency, and
massive device connectivity. Nonorthogonal multiple access (NOMA) principle
emerges as a solution to improve the spectral efficiency while allowing some
degree of multiple access interference at receivers. In this tutorial style
paper, we target providing a unified model for NOMA, including uplink and
downlink transmissions, along with the extensions tomultiple inputmultiple
output and cooperative communication scenarios. Through numerical examples, we
compare the performances of OMA and NOMA networks. Implementation aspects and
open issues are also detailed.Comment: 25 pages, 10 figure
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
Spectral Efficiency Analysis of Multi-Cell Massive MIMO Systems with Ricean Fading
This paper investigates the spectral efficiency of multi-cell massive
multiple-input multiple-output systems with Ricean fading that utilize the
linear maximal-ratio combining detector. We firstly present closed-form
expressions for the effective signal-to-interference-plus-noise ratio (SINR)
with the least squares and minimum mean squared error (MMSE) estimation
methods, respectively, which apply for any number of base-station antennas
and any Ricean -factor. Also, the obtained results can be particularized in
Rayleigh fading conditions when the Ricean -factor is equal to zero. In the
following, novel exact asymptotic expressions of the effective SINR are derived
in the high and high Ricean -factor regimes. The corresponding analysis
shows that pilot contamination is removed by the MMSE estimator when we
consider both infinite and infinite Ricean -factor, while the pilot
contamination phenomenon persists for the rest of cases. All the theoretical
results are verified via Monte-Carlo simulations.Comment: 15 pages, 2 figures, the tenth International Conference on Wireless
Communications and Signal Processing (WCSP 2018), to appea
Full-Duplex Wireless for 6G: Progress Brings New Opportunities and Challenges
The use of in-band full-duplex (FD) enables nodes to simultaneously transmit
and receive on the same frequency band, which challenges the traditional
assumption in wireless network design. The full-duplex capability enhances
spectral efficiency and decreases latency, which are two key drivers pushing
the performance expectations of next-generation mobile networks. In less than
ten years, in-band FD has advanced from being demonstrated in research labs to
being implemented in standards and products, presenting new opportunities to
utilize its foundational concepts. Some of the most significant opportunities
include using FD to enable wireless networks to sense the physical environment,
integrate sensing and communication applications, develop integrated access and
backhaul solutions, and work with smart signal propagation environments powered
by reconfigurable intelligent surfaces. However, these new opportunities also
come with new challenges for large-scale commercial deployment of FD
technology, such as managing self-interference, combating cross-link
interference in multi-cell networks, and coexistence of dynamic time division
duplex, subband FD and FD networks.Comment: 21 pages, 15 figures, accepted to an IEEE Journa
Joint relay selection and bandwidth allocation for cooperative relay network
Cooperative communication that exploits multiple relay links offers significant performance improvement in terms of coverage and capacity for mobile data subscribers in hierarchical cellular network. Since cooperative communication utilizes multiple relay links, complexity of the network is increased due to the needs for efficient resource allocation. Besides, usage of multiple relay links leads to Inter- Cell Interference (ICI). The main objective of this thesis is to develop efficient resource allocation scheme minimizes the effect of ICI in cooperative relay network. The work proposed a joint relay selection and bandwidth allocation in cooperative relay network that ensures high achievable data rate with high user satisfaction and low outage percentage. Two types of network models are considered: single cell network and multicell network. Joint Relay Selection and Bandwidth Allocation with Spatial Reuse (JReSBA_SR) and Optimized JReSBA_SR (O_JReSBA_SR) are developed for single cell network. JReSBA_SR considers link quality and user demand for resource allocation, and is equipped with spatial reuse to support higher network load. O_JReSBA_SR is an enhancement of JReSBA_SR with decision strategy based on Markov optimization. In multicell network, JReSBA with Interference Mitigation (JReSBA_IM) and Optimized JReSBA_IM (O_JReSBA_IM) are developed. JReSBA_IM deploys sectored-Fractional Frequency Reuse (sectored- FFR) partitioning concept in order to minimize the effect of ICI between adjacent cells. The performance is evaluated in terms of cell achievable rate, Outage Percentage (OP) and Satisfaction Index (SI). The result for single cell network shows that JReSBA_SR has notably improved the cell achievable rate by 35.0%, with reduced OP by 17.7% compared to non-joint scheme at the expense of slight increase in complexity at Relay Node (RN). O_JReSBA_SR has further improved the cell achievable rate by 13.9% while maintaining the outage performance with reduced complexity compared to JReSBA_SR due to the effect of optimization. The result for multicell network shows that JReSBA_IM enhances the cell achievable rate up to 65.1% and reduces OP by 35.0% as compared to benchmark scheme. Similarly, O_JReSBA_IM has significantly reduced the RN complexity of JReSBA_IM scheme, improved the cell achievable rate up to 9.3% and reduced OP by 1.3%. The proposed joint resource allocation has significantly enhanced the network performance through spatial frequency reuse, efficient, fair and optimized resource allocation. The proposed resource allocation is adaptable to variation of network load and can be used in any multihop cellular network such as Long Term Evolution-Advanced (LTE-A) network
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