1,183 research outputs found
DMT Optimal Cooperative Protocols with Destination-Based Selection of the Best Relay
We design a cooperative protocol in the context of wireless mesh networks in order to increase the reliability of wireless links. Destination terminals ask for cooperation when they fail in decoding data frames transmitted by source terminals. In that case, each destination terminal D calls a specific relay terminal B with a signaling frame to help its transmission with source terminal S. To select appropriate relays, destination terminals maintain tables of relay terminals, one for each possible source address. These tables are constituted by passively overhearing ongoing transmissions. Hence, when cooperation is needed between S and D, and when a relay B is found by terminal D in the relay table associated with terminal S, the destination terminal sends a negative acknowledgment frame that contains the address of B. When the best relay B has successfully decoded the source message, it sends a copy of the data frame to D using a selective decode-andforward transmission scheme. The on-demand approach allows maximization of the spatial multiplexing gain and the cooperation of the best relay allows maximization of the spatial diversity order. Hence, the proposed protocol achieves optimal diversitymultiplexing trade-off performance. Moreover, this performance is achieved through a collision-free selection process
A Stochastic Geometry Approach to Energy Efficiency in Relay-Assisted Cellular Networks
Though cooperative relaying is believed to be a promising technology to
improve the energy efficiency of cellular networks, the relays' static power
consumption might worsen the energy efficiency therefore can not be neglected.
In this paper, we focus on whether and how the energy efficiency of cellular
networks can be improved via relays. Based on the spatial Poisson point
process, an analytical model is proposed to evaluate the energy efficiency of
relay-assisted cellular networks. With the aid of the technical tools of
stochastic geometry, we derive the distributions of
signal-to-interference-plus-noise ratios (SINRs) and mean achievable rates of
both non-cooperative users and cooperative users. The energy efficiency
measured by "bps/Hz/W" is expressed subsequently. These established expressions
are amenable to numerical evaluation and corroborated by simulation results.Comment: 6 pages, 5 figures, accepted by IEEE Globecom'12. arXiv admin note:
text overlap with arXiv:1108.1257 by other author
Opportunistic Relaying for Cognitive Radio Enhanced Cellular Networks: Infrastructure and Initial Results
International audienceIn this paper, we introduce the application of CR-based spectrum sharing concepts to enable opportunistic relaying operations in cellular networks. In particular, i) we build on recent FCC rules and CEPT plans (SE43) that regulate the opportunistic spectrum usage in TV white spaces at 470-790 MHz; and ii) we show that opportunistic relaying can lead to higher spectral efficiencies and/or reduced CAPEX (and consequently OPEX) due to a lighter infrastructure deployment. Finally, we outline some issues that are important to be addressed to quantify the gains achieved by the proposed opportunistic relay-based infrastructure deployment with respect to existing cellular networks. Some preliminary results are also shown
Generalized Area Spectral Efficiency: An Effective Performance Metric for Green Wireless Communications
Area spectral efficiency (ASE) was introduced as a metric to quantify the
spectral utilization efficiency of cellular systems. Unlike other performance
metrics, ASE takes into account the spatial property of cellular systems. In
this paper, we generalize the concept of ASE to study arbitrary wireless
transmissions. Specifically, we introduce the notion of affected area to
characterize the spatial property of arbitrary wireless transmissions. Based on
the definition of affected area, we define the performance metric, generalized
area spectral efficiency (GASE), to quantify the spatial spectral utilization
efficiency as well as the greenness of wireless transmissions. After
illustrating its evaluation for point-to-point transmission, we analyze the
GASE performance of several different transmission scenarios, including
dual-hop relay transmission, three-node cooperative relay transmission and
underlay cognitive radio transmission. We derive closed-form expressions for
the GASE metric of each transmission scenario under Rayleigh fading environment
whenever possible. Through mathematical analysis and numerical examples, we
show that the GASE metric provides a new perspective on the design and
optimization of wireless transmissions, especially on the transmitting power
selection. We also show that introducing relay nodes can greatly improve the
spatial utilization efficiency of wireless systems. We illustrate that the GASE
metric can help optimize the deployment of underlay cognitive radio systems.Comment: 11 pages, 8 figures, accepted by TCo
A Study Of Cooperative Spectrum Sharing Schemes For Internet Of Things Systems
The Internet of Things (IoT) has gained much attention in recent years with the massive increase in the number of connected devices. Cognitive Machine-to-Machine (CM2M) communications is a hot research topic in which a cognitive dimension allows M2M networks to overcome the challenges of spectrum scarcity, interference, and green requirements. In this paper, we propose a Generalized Cooperative Spectrum Sharing (GCSS) scheme for M2M communication. Cooperation extends the coverage of wireless networks as well as increasing their throughput while reducing the energy consumption of the connected low power devices. We study the outage performance of the proposed GCSS scheme for M2M system and derive exact expressions for the outage probability. We also analyze the effect of varying transmission powers on the performance of the system
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