Manasjyoti Bhuyan

Gauhati University | G.U. · Department of Electronics and Communication Engineering

The forthcoming paradigms of 6G, Future Networks (FN) and Super-Internet of Things (IoT), will bring disruption at various levels of the physical infrastructure. This work focuses on the network edge, stressing how the forecasted proliferation and technology innovation of the physical systems at the boundary of the network (edge), will pose crucial...

This paper presents a novel approach to designing beam codebooks for downlink multiuser hybrid multiple-input–multiple-output (MIMO) wireless communication systems, leveraging multi-agent reinforcement learning (MARL). The primary objective is to develop an environment-specific beam codebook composed of non-interfering beams, learned by cooperative...

This paper presents a novel approach to designing beam codebooks for downlink multiuser hybrid multiple input multiple output (MIMO) wireless communication systems, leveraging multi-agent reinforcement learning (MARL). The primary objective is to develop an environment-specific beam codebook composed of non-interfering beams, learned by cooperative...

Modulation detection is one of the major tasks of an intelligent receiver in a software defined radio (SDR). It is an intermediate step between signal detection and demodulation. In this paper we present the modulation detection based on Dynamic Time Warping (DTW) algorithm. Here the types of modulation that we use are QPSK, 8-PSK, 16-QAM and 64-QA...

The need for accurate indoor localization for related services and radio resource management have imparted increased research attention on fingerprinting based positioning. In this work, we present a novel spatio-temporal deep learning (STDL) based fingerprinting method for indoor localization utilizing Channel State Information (CSI). The system w...

Inter symbol interference (ISI) and related distortions observed in high data rate wireless systems are mitigated using equalizers and channel estimation methods which are traditionally based on data driven tapped delay line (TDL) models. With increased fading due to mobility of transmit receive terminals, data driven schemes prove to be inefficien...

In a typical mobile environment, the varying speeds of transmit-receive pairs make traditional channel estimation methods inefficient due to continuously altering requirement of high density reference symbols. It has been largely instrumental in driving efforts to formulate innovative solutions which are appropriate for such situations. Previously,...

A new learning-based structure is defined for the identification of nonlinear attributes of a baseband power amplifier (PA) and design of an adaptive digital pre-distorter for application in wireless channels. Analytically and experimentally, generalized memory polynomial (GMP) model is derived from the transmit-receive conditions and the learning...

In a typical mobile environment because of the high speed of the terminals the channel coherence time becomes smaller and the assumption that the channel is constant within a frame no longer holds. To aid the channel estimation for coherent detection in such a situation, data aided estimation becomes inefficient because of the requirement of high d...

Since stochastic wireless channels are highly random, fuzzy-based system are suitable options to deal with such uncertainty. This is because of the fact that the fuzzy system provides expert-level decision while tracking microscopic changes. Fuzzy system, however, requires support from artificial neural network (ANN)s for 5 implementing inference r...

With the explosive expansion of wireless communication and its continuously evolving systems, design of emerging solutions require appropriate mechanisms of testing, validation and verification. In this respect, a frequently adopted option is design of test beds to validate algorithms and implementation aspects. Some of the currently available test...

Vertical Handover(VHO) among different communication technologies ensuring uninterruption and service continuity is one of the most important performance parameter in Heterogenous networks environment. In an integrated Universal Mobile Telecommunicatin System(UMTS) and Wireless Local Area Network(WLAN), WLAN is given an inherent priority over UMTS...

Equalization in multipath fading environment offers the highest computational cost in a mobile receiver design. Since its inception, Artificial Neural Network (ANN) has been accepted for widespread applications in various fields of signal processing. ANN, with its ability to discriminate nonlinear decision boundaries, establish nonlinear functional...

In today's age of internet we have worldwide diversified overlap network where Vertical Handoff (VHO) is a necessity. Mobile user is looking for Always Best Connected (ABC) strategy in the presence of multiple access technology. In this work the worst case scenario of handoff process in heterogeneous network is investigated through simulation. The...

In this paper, we present a method for real-time identification and prediction of time varying mobile radio channel. The predictor comprises of two main units. First, a Feed Forward Artificial Neural Network (FANN) is used to identify the auto regressive (AR) system underlying the fading mechanism. Estimated AR model is then used to predict the fut...

Signature represents an individual characteristic of a person which can be used for his / her validation. For such application proper modeling is essential. Here we propose an offline signature recognition and verification scheme which is based on extraction of several features including one hybrid set from the input signature and compare them with...

All the available algorithms for blind estimation namely constant modulus algorithm (CMA), Decision-Directed Algorithm (DDA/DFE) suffer from the problem of convergence to local minima. Also, if the channel drifts considerably, any DDA looses track of the channel. So, their usage is limited in varying channel conditions. The primary limitation in su...