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This paper proposes regularized version of Variable Step Size Normalized Least Mean Square algorithm (RVSSNLMS) for iterative channel estimation scheme in MC-IDMA system. The proposed scheme is based on the exploitation of the inherent sparsity in the OFDM channels. The performance of the proposed scheme is validated in comparison with the earlier proposed channel estimation schemes based on the Least...
Performing inference on the Lie group of diffeomorphisms of Euclidean space has many applications, including computer vision, computational anatomy, and density estimation. Computational tools to find such diffeomorphisms typically involve dynamical systems, and computational fluid mechanics. We here consider the problem where we are given IID samples from a distribution P and want to learn a diffeomorphism...
The N-antenna MISO Gaussian wiretap channel with imperfect channel-state information at the transmitter (CSIT) is studied in terms of secrecy rate scaling versus the signal-to-noise ratio (SNR) and N. Two schemes are considered, beamforming (BF) and artificial noise injection (AN). It is shown that if the CSIT error is independent of SNR, then both schemes do not achieve scaling versus SNR. However,...
In this paper, we consider a distributed load control problem for achieving supply-demand balance and frequency regulation in a power system. While most of the distributed load control schemes require the loads to exchange information through two-way communications, recent results have shown that it is possible to achieve fully distributed control by frequency-based imbalance estimation. However,...
In this paper, a duality between wiretap and state-dependent channels with non-causal channel state information at the transmitter is established. First, a common achievable scheme is described for a certain class of state-dependent and wiretap channels. Further, state-dependent and wiretap channels for which this scheme is capacity (resp. secrecy capacity) achieving are identified. These channels...
Private information retrieval (PIR) is the problem of retrieving as efficiently as possible, one out of K messages from N non-communicating replicated databases (each holds all K messages) while keeping the identity of the desired message index a secret from each individual database. T-private PIR is a generalization of PIR to include the requirement that even if any T of the N databases collude,...
Spectral efficiency and energy efficiency are important design criteria for green communications. In this paper, spectral efficiency and energy efficiency are addressed for transmission over channels that are orthogonal in frequency. The maximum sum rate is used in measuring the spectral- and energy-efficiency. The combined spectral- and energy-efficiency of particular total bandwidth and total transmit...
This paper studies the bidirectional user scheduling and mode selection in single-cell full-duplex (FD) system, where a FD base station (BS) serves multiple uplink and downlink half-duplex (HD) users. Due to the existence of the inter-user interference from an uplink transmitting user to a downlink receiving user, the system operating in FD mode does not necessarily outperform HD mode, depending on...
Femtocaching is an effective and low-cost way to address the explosively increased wireless traffic demand driven by video-on-demand (VoD) streaming. Most existing caching policies are optimized for file downloading service, which are not necessarily optimal for the quality of experience of users requesting VoD service. In this paper, the caching policy for VoD service is investigated, where the adaptation...
In frequency division duplex (FDD) transceivers, transmitter (TX) passband leakage induced self-interference can cause own receiver (RX) desensitization, due to limited isolation of the duplexer RX filter and nonlinear components in the RX front-end. In this paper, an active RF cancellation technique for TX passband leakage is proposed, to efficiently suppress the nonlinear leakage signal at the RX...
A low-density spatial downlink reference signal (LDS-RS) design is proposed for frequency-division duplex (FDD) massive full-dimensional multiple-input multiple-output (FD-MIMO) systems. By exploiting the spatial correlation between the channels of different antennas, this scheme can efficiently reduce the downlink RS overhead and therefore enhances the achievable spectral efficiency significantly...
Nowadays, the demand of high data wireless transfer rates is growing with the big and fast grow of smart phones. As a consequence, the spectrum is getting overloaded with communications, increasing the interference. Therefore a different path of ideas has been followed and the communication process has been taken to the next level by the usage of big arrays of antennas and multi-stream communication...
The curse of big data, propelled by the explosive growth of mobile devices, places overwhelming pressures on wireless communications. Network densification is a promising approach to improve the area spectral efficiency, but to acquire massive channel state information (CSI) for effective interference management becomes a formidable task. In this paper, we propose a novel interference management method...
In frequency division duplexing (FDD) transceivers, the intermodulation distortion (IMD) created by a nonlinear transmit power amplifier can easily interfere with the receiver (RX) band. This is a particular concern in various carrier aggregation scenarios, and can cause severe own RX desensitization. In this paper, a spur-injection based sub-band digital predistortion (DPD) solution is proposed to...
Product codes are a concatenated error-correction scheme that has been often considered for applications requiring very low bit-error rates, which demand that the error floor be decreased as much as possible. In this work, we consider product codes constructed from polynomial algebraic codes, and propose a novel low-complexity post-processing technique that is able to improve the error-correction...
This paper proposes digital cancellation of nonlinear distortion originating from out-of-band blocking carriers and induced by the analog front-end nonlinearities in direct-conversion receivers (RXs). The cancellation is enabled by employing an additional reference RX for capturing these blockers. In addition, cancellation of mirror-frequency interference is targeted. The feed-forward cancellation...
We study causal influence structures between the patterns of a multilayer network. Multi-layer networks are networks in which different types of activities between users represent different types of edges, i.e., layers. We measure the causal influence between network patterns via directed information, and investigate how to learn the influence patterns when users can engage in interactions in multiple...
We address the problem of decentralized joint sparsity pattern recovery based on 1-bit compressive measurements in a distributed network. We assume that the distributed nodes observe sparse signals which share the same but unknown sparsity pattern. Each node obtains measurements via random projections and further quantizes its measurement vector element-wise to 1-bit. We develop two decentralized...
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