On Interference Alignment With Imperfect CSI: Characterizations of Outage Probability, Ergodic Rate and SER

Chen, Xiaoming; Yuen, Chau

doi:10.1109/tvt.2015.2397000

Cited by 33 publications

(16 citation statements)

References 37 publications

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“…Previous research works considered channel interference as detrimental and sought reasonable channel assignment methods, which is a common choice in resource management [18][19][20][21][22][23][24], and they mainly focused on two kinds of channel interference: one is interference between different communication systems [25], and the other is channel interference with respect to the 802.11 communication system [26].…”

Section: Channel Interferencementioning

confidence: 99%

Defeat Your Enemy Hiding behind Public WiFi: WiGuard Can Protect Your Sensitive Information from CSI-Based Attack

Zhang

Tang

et al. 2018

Applied Sciences

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The extended version makes the following additional contributions over the conference paper: (1) it provides a more detailed description of the attack; (2) it describes how the user uses WiGuard to protect sensitive information and gives the user a choice for the position and channel to optimize the system performance; (3) it provides new experimental results to evaluate the influence of the packet loss rate on the success rate and provides proof for the channel switch; (4) it adds a new experiment to evaluate the diversity of the attacker wireless transmitter; (5) it includes new results to compare the recognition results with and without channel interference. ‡ Jie Zhang and Meng Li are co-first authors.

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Section: Channel Interferencementioning

confidence: 99%

Defeat Your Enemy Hiding behind Public WiFi: WiGuard Can Protect Your Sensitive Information from CSI-Based Attack

Zhang

Tang

et al. 2018

Applied Sciences

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“…For IA based on limited CSI feedback, the throughput of an IA interference network is reduced by the residual interference (due to imperfect IA) compared with perfect CSI [26,27]. To minimize the performance loss, it is necessary to take some effective performance optimization measures.…”

Section: Introductionmentioning

confidence: 99%

A Novel Joint Power and Feedback Bit Allocation Interference Alignment Scheme for Wireless Sensor Networks

Wang

et al. 2017

Sensors

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It is necessary to improve the energy efficiency of batteries in wireless sensor networks (WSNs). The multiple-input multiple-output (MIMO) technique has become an important means to ameliorate WSNs, and interference management is the core of improving energy efficiency. A promising approach is interference alignment (IA), which effectively reduces the interference and improves the throughput of a system in the MIMO interference channels. However, the IA scheme requires perfect channel state information (CSI) at all transceivers in practice, which results in considerable feedback overhead. Thus, limited IA feedback has attracted much attention. In this paper, we analyze the throughput loss of the K-user MIMO interference channels when each transmitter delivers multiple streams in one slot, and derives the upper-bound of the system interference leakage and throughput loss. Then, to reduce the interference leakage and throughput loss for the MIMO interference alignment with limited feedback, a joint power and feedback bit allocation optimization scheme is proposed. The simulation results show that, compared with the conventional schemes, the presented optimal scheme achieves less residual interference and better performance in the system throughput.

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“…It is thus indispensable to directly investigate the achievable rate of various IA schemes. The achievable rate of IA under imperfect CSI are investigated [11][12][13][14][15][16]. In [11], the impact of channel error on the achievable rate of IA was first investigated and closed-form lower and upper bounds of the sum mutual information of IA are derived.…”

Section: Introductionmentioning

confidence: 99%

“…The work in [14] considered the scenario where the main channel CSI is perfect but the crosstalk CSI is in errors, and obtained a closed-form rate through analyzing the statistical distribution of the saturating SNR. Recently, a comprehensive performance analysis of outage probability, ergodic rate, and symbol error rate (SER) for IA under imperfect CSI was investigated in [15]. Different from the aforementioned work, where the channels are assumed to be uncorrelated, paper [16] studied the achievable rate of IA over correlated channel and derived an analytical upper bound of achievable rate by determining the distribution of per-stream signal-to-interference-plus-noise-ratio (SINR).…”

Section: Introductionmentioning

confidence: 99%

“…Inspired by the work of [11][12][13][14][15][16][17][18], and motivated by (1) Practical communication systems have to design IA precoders and interference suppressing filters based on imperfect CSI; (2) As an analytical metric, achievable rate suits the practical communication systems better than DoF, since masses of practical systems operate in the low and medium SNR regime. We expect to further investigate the impact of channel uncertainty on the achievable rate of IA network and provide general analytical closed-form expressions to offer a more convenient metric for practical IA systems design.…”

Section: Introductionmentioning

confidence: 99%

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On Analytical Achievable Rate for MIMO Linear Interference Alignment with Imperfect CSI

Dong

Zhang

Zhou

et al. 2016

Wireless Pers Commun

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This paper studies the impact of channel error on the achievable rate of symmetrical K-user multiple-input multiple-output linear interference alignment (IA) networks. The upper and lower bounds of the achievable sum rate are derived analytically with the assumption of orthonormal transmit precoders and receive filters designed from imperfect channel state information (CSI) over both the uncorrelated and correlated channels. For uncorrelated channels, quite tight lower and upper bounds are obtained. The impact of channel error on the degrees of freedom (DoF) and the DoF persistence conditions are also investigated. Results show that the DoF of IA networks persists only if the channel error decreases in an order higher than the signal-to-noise ratio. For correlated channel, the lower and upper bounds for one realization of IA are derived. The derived upper bound can be used to characterize the achievable rate approximately. Simulation results indicate that the achievable rate of IA network is influenced significantly by CSI uncertainty. The obtained analytical bounds provide an intuitive way to show the impact of channel error on the achievable rate and thus can help practical systems deign.

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On Interference Alignment With Imperfect CSI: Characterizations of Outage Probability, Ergodic Rate and SER

Cited by 33 publications

References 37 publications

Defeat Your Enemy Hiding behind Public WiFi: WiGuard Can Protect Your Sensitive Information from CSI-Based Attack

Defeat Your Enemy Hiding behind Public WiFi: WiGuard Can Protect Your Sensitive Information from CSI-Based Attack

A Novel Joint Power and Feedback Bit Allocation Interference Alignment Scheme for Wireless Sensor Networks

On Analytical Achievable Rate for MIMO Linear Interference Alignment with Imperfect CSI

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