We consider some computationally efficient and provably correct algorithms with near-optimal sample complexity for the problem of noisy nonadaptive group testing. Group testing involves grouping arbitrary subsets items into pools. Each pool is then tested to identify defective items, which are usually assumed be sparse. randomly pooling measurements, where pools selected independently test outcomes. also a model measurements allow both false negative positive outcomes (and asymmetric noise,...

Underlay in-band device-to-device (D2D) multicast communication, where the same content is disseminated via direct links in a group, has potential to improve spectral and energy efficiencies of cellular networks. However, most existing approaches for this problem only address either efficiency (SE) or (EE). We study tradeoff between SE EE single cell D2D integrated network, multiple groups (MGs) may share uplink channel with users. explore SE-EE by formulating maximization constraint on...

This paper proposes a mathematical fractional order modelling of Voltage Source Converters (VSC). Fractional behaviour helps to model and describe real object more accurately than the integer model. State-space equations VSC is obtained using calculus in d-q domain. The Caputo derivative method employed eliminate complex definitions get approximate solution with optimal design parameters. A detailed analysis performed on developed including small-signal DC analysis. stability time-domain...

This paper investigates the inherent trade-off between energy efficiency (EE) and spectral (SE) in distributed massive-MIMO (D-mMIMO) systems. Optimizing EE SE together is crucial as increasing often leads to higher consumption. Joint power allocation AP-UE association are pivotal this analysis because they directly influence both SE. We address gap existing literature where EE-SE has been analyzed but not optimized context of D-mMIMO The focus study maximize with constraints on uplink sum...

We present computationally efficient and provably correct algorithms with near-optimal sample-complexity for noisy non-adaptive group testing. Group testing involves grouping arbitrary subsets of items into pools. Each pool is then tested to identify the defective items, which are usually assumed be sparsely distributed. consider random pooling where pools selected randomly independently test outcomes. Our scenario accounts both false negatives positives Inspired by compressive sensing we...

A general class of wireless relay networks with a single source-destination pair is considered. Intermediate nodes in the network employ an amplify-and-forward scheme to their input signals. In this case overall input-output channel from source via relays destination effectively behaves as intersymbol interference colored noise. Unlike previous work we formulate problem maximum achievable rate setting optimization no assumption on size, topology, and signal-to-noise ratio. Previous...

The potential of device-to-device (D2D) technology to support multicast services in LTE-Advanced networks has been recently realized. D2D communication brings great benefits cellular terms enhanced spectral efficiency and larger coverage by enabling the devices communicate directly with each other. may lead improved network capacity sharing resources users (CUs). However, resulting mutual interference decrease or even outweigh gain communication. In this paper, we propose a scheme minimize...

Modern electric grid usages extensive non-linear loads leading to the increased harmonic current injection in system. This paper proposes a data-driven algorithm based on sparse decomposition approach with Overcomplete Hybrid Dictionary (OHD) and provides in-depth mathematical analysis detect mitigate harmonics emerging power systems. The method is widely used image processing applications significant advantages big-data applications. However, its application not properly addressed grids’...

The problem of maximum rate achievable with analog network coding for a unicast communication over layered wireless relay directed links is considered. A node performing scales and forwards the signals received at its input. Recently this has been considered under two assumptions: (A) each signal to upper bound transmit power constraint, (B) nodes in specific subsets operate high-SNR regime. We establish that assumption (A), general, leads suboptimal end-to-end rate. also characterize...

The problem of maximum rate achievable with analog network coding for a unicast communication over layered relay directed links is considered. A node performing scales and forwards the signals received at its input. Recently this has been considered under certain assumptions on per scaling factor SNR. Previously, we established result that allows us to characterize optimal performance in scenarios beyond those can be analyzed using approaches based such assumptions. key contribution work...

In this paper a regression model based for tuning proportional integral derivative (PID) controller with fractional order time delay system is proposed. The novelty of that parameters the are optimally predicted using model. proposed method, output used to derive function. Here, depends on weights exponential By iterative algorithm, best weight evaluated. Using technique, systems tuned and stability maintained. effectiveness feasibility technique demonstrated through MATLAB/Simulink...

Device-to-Device (D2D) multicast communication is emerging as a practical solution to alleviate severe capacity crunch in data-centric wireless networks and encourage backhaul-free directly among devices with similar content requirement. Resource allocation critical issue that impacts both, the network throughput spectrum efficiency. We devise an uplink resource reuse strategy for multiple D2D groups cellular users (CUs), objective of maximizing sum throughput, while guaranteeing certain...

Abstract This paper proposes the implementation of Affine Projection Sign Algorithm (APSA) based control for DSTATCOM to mitigate distribution side power quality issues like harmonic elimination, reactive compensation, load balancing, factor voltage regulation, etc. projection algorithms have already finds application in mitigation, but they suffer from high complexity and degraded performance due impulsive interference. Whereas, sign are known be robust against noise converges faster....

We consider the energy consumed in radio transmission by a set of sensors forming data gathering wireless network. Our objective is to enhance lifetime such networks exploiting three system-level opportunities. First, number bits be transmitted can reduced taking advantage redundancy induced spatio-temporal correlation sensor data. Second, channel coding allows us reduce at cost increased time. Third, nodes expected operate collaboratively, allowing optimal management distributed resources....

A communication scenario where a source communicates with destination over directed layered relay network is considered. Each performs analog coding it scales and forwards the signals received at its input. In this scenario, we address question: What portion of maximum end-to-end achievable rate can be maintained if only fraction nodes available each layer are used? We consider, in particular, Gaussian diamond class symmetric networks. For these networks provide upper bounds on additive...

Device-to-device (D2D) multicast communication is considered as a potential solution to improve the spectral efficiency of cellular networks. This paper focuses on resource allocation in underlay D2D networks where multiple groups (MGs) share uplink frequency channels with users (CUs). An optimization problem that maximizes system throughput while fulfilling maximum power constraint every mobile user and ensuring certain level quality service (QoS) CU group formulated. formulation leads...

We are concerned with maximizing the lifetime of a data-gathering wireless sensor network consisting set nodes directly communicating base-station. model this scenario as m-message interactive communication between multiple correlated informants (sensor nodes) and recipient (base-station). With framework, we show that can indeed enhance lifetime. Both worst-case average-case performances considered.

A general class of wireless relay networks with a single source-destination pair is considered. Intermediate nodes in the network employ an amplify-and-forward scheme to their input signals. In this case overall input-output channel from source via relays destination effectively behaves as intersymbol interference colored noise. Unlike previous work we formulate problem maximum achievable rate setting optimization no assumption on size, topology, and received signal-to-noise ratio. Previous...

This paper proposed a cuckoo search (CS) algorithm and self reunion multiple regression (SRMR) method based optimal tuning of proportional integral derivative (PID) controller with high order time delay system. The main part this projected technique is in hybridizing SRMR CS s o enhanced searching ability, random reduction mitigated difficulty can be achieved. goal to acquire the control parameter PID depend on outcome deviation higher In used derive function from system output parameters....

The problem of maximum rate achievable with analog network coding for a unicast communication over layered wireless relay directed links is considered. A node performing scales and forwards the signals received at its input. Recently this has been considered under two assumptions: (A) each signal to upper bound transmit power constraint, (B) nodes in specific subsets operate high-SNR regime. We establish that assumption (A), general, leads suboptimal end-to-end rate. also characterize...

Packet arrival-delay variations and losses seriously affect the quality of voice delivered in VoIP. In this paper, using a time-scale modification algorithm, an integrated scheme is proposed to handle these impairments without introducing additional delays. This provides flexible arrivaldelay cut-offs late arriving packets, reducing packet loss-rate at receiver. Further, lost packets are concealed effectively. Extensive simulations have shown that delivers high-quality speech across widely...

We are concerned with the problem of maximizing worst-case lifetime a data-gathering wireless sensor network consisting set nodes directly communicating base-station.We propose to solve this by modeling node and base-station communication as interactive between multiple correlated informants (sensor nodes) recipient (base-station). provide practical scalable protocols for data gathering in networks demonstrate their efficiency compared traditional approaches. In paper, we first develop...