195,487 research outputs found
CSi in South Africa: Examining CSI Strategy, Practice, and Attitudes with a Focus on Social Enterprise and Blended Value
The project aimed to: Identify attitudes and practices among leading CSI officers in South Africa surrounding CSI objectives, CSI strategy, and major philanthropy models, particularly social enterprise and blended valueAssess the market for Heart's Blended Value Proposition Funds among CSI officer
Dynamic Power Splitting Policies for AF Relay Networks with Wireless Energy Harvesting
Wireless energy harvesting (WEH) provides an exciting way to supply energy
for relay nodes to forward information for the source-destination pairs. In
this paper, we investigate the problem on how the relay node dynamically
adjusts the power splitting ratio of information transmission (IT) and energy
harvesting (EH) in order to achieve the optimal outage performance. According
to the knowledge of channel state information (CSI) at the relay, optimal
dynamic power splitting policy with full CSI and partial CSI are both provided.
Finally, through simulations, the proposed power splitting policies can improve
the outage performances and the policy with full CSI achieves the best
performance. It is also shown that the policy with partial CSI can approach the
policy with full CSI closely and incurs far less system overhead.Comment: accepted by IEEE ICC 2015 - Workshop on Green Communications and
Networks with Energy Harvesting, Smart Grids, and Renewable Energie
Regularized ZF in Cooperative Broadcast Channels under Distributed CSIT: A Large System Analysis
Obtaining accurate Channel State Information (CSI) at the transmitters (TX)
is critical to many cooperation schemes such as Network MIMO, Interference
Alignment etc. Practical CSI feedback and limited backhaul-based sharing
inevitably creates degradations of CSI which are specific to each TX, giving
rise to a distributed form of CSI. In the Distributed CSI (D-CSI) broadcast
channel setting, the various TXs design elements of the precoder based on their
individual estimates of the global multiuser channel matrix, which intuitively
degrades performance when compared with the commonly used centralized CSI
assumption. This paper tackles this challenging scenario and presents a first
analysis of the rate performance for the distributed CSI multi-TX broadcast
channel setting, in the large number of antenna regime. Using Random Matrix
Theory (RMT) tools, we derive deterministic equivalents of the Signal to
Interference plus Noise Ratio (SINR) for the popular regularized Zero-Forcing
(ZF) precoder, allowing to unveil the price of distributedness for such
cooperation methods.Comment: Extended version of an ISIT 2015 submission. Addition of the proofs
omitted due to space constrain
Overhead-Aware Distributed CSI Selection in the MIMO Interference Channel
We consider a MIMO interference channel in which the transmitters and
receivers operate in frequency-division duplex mode. In this setting,
interference management through coordinated transceiver design necessitates
channel state information at the transmitters (CSI-T). The acquisition of CSI-T
is done through feedback from the receivers, which entitles a loss in degrees
of freedom, due to training and feedback. This loss increases with the amount
of CSI-T. In this work, after formulating an overhead model for CSI acquisition
at the transmitters, we propose a distributed mechanism to find for each
transmitter a subset of the complete CSI, which is used to perform interference
management. The mechanism is based on many-to-many stable matching. We prove
the existence of a stable matching and exploit an algorithm to reach it.
Simulation results show performance improvement compared to full and minimal
CSI-T.Comment: 5 pages, 2 figures. to appear at EUSIPCO 2015, Special Session on
Algorithms for Distributed Coordination and Learnin
The CSI Effect: Fact or Fiction?
The CSI effect has been a subject undergoing intense scrutiny in recent years. With the ever-increasing number of television shows, such as CSI and all of its spinoffs, that poorly represent the field of forensic science, there has also been a growing concern over the effects that media has on the legal system. Prosecutors argue that the CSI effect raises their burden of proof and makes jurors more likely to acquit in cases involving little or no forensic evidence, while defense lawyers claim that jurors are more inclined to wrongfully convict based on their unrealistic perceptions of forensic evidence. This paper aims to determine if the CSI effect exists by exploring the effects that crime-show-related media has on the community, analyzing jurors’ perceptions of forensic evidence, and comparing the currently published statistics on pre- and post-CSI acquittal rates
CSI Feedback Reduction for MIMO Interference Alignment
Interference alignment (IA) is a linear precoding strategy that can achieve
optimal capacity scaling at high SNR in interference networks. Most of the
existing IA designs require full channel state information (CSI) at the
transmitters, which induces a huge CSI signaling cost. Hence it is desirable to
improve the feedback efficiency for IA and in this paper, we propose a novel IA
scheme with a significantly reduced CSI feedback. To quantify the CSI feedback
cost, we introduce a novel metric, namely the feedback dimension. This metric
serves as a first-order measurement of CSI feedback overhead. Due to the
partial CSI feedback constraint, conventional IA schemes can not be applied and
hence, we develop a novel IA precoder / decorrelator design and establish new
IA feasibility conditions. Via dynamic feedback profile design, the proposed IA
scheme can also achieve a flexible tradeoff between the degree of freedom (DoF)
requirements for data streams, the antenna resources and the CSI feedback cost.
We show by analysis and simulations that the proposed scheme achieves
substantial reductions of CSI feedback overhead under the same DoF requirement
in MIMO interference networks.Comment: 30 pages, 7 figures, accepted for publication by IEEE transactions on
signal processing in June, 201
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