Masud Rana - Academia.edu (original) (raw)
Papers by Masud Rana
2018 5th International Conference on Networking, Systems and Security (NSysS)
Multicast is an efficient method for sending data to multiple destinations in a single transmissi... more Multicast is an efficient method for sending data to multiple destinations in a single transmission. Conventional multicast routing often suffers from scalability issues. Here, the number of forwarding states maintained in the Network layer generally increases with the number of concurrently active multicast groups. Consequently, large-size routing tables get generated, which in turn causes degradation in router performance. There exist only a limited number of studies on aggregated multicast to address this issue. The existing studies such as AM (Aggregated Multicast), STA (Scalable Tree Aggregation for Multicast), and STS (Shared-Tree Selection for Aggregated Multicast) attempt to perform tree aggregation, however, still retain high number of forwarding states in the routers. Besides, they mostly ignore the effect of tree aggregation ratio in terms of network performance metrics (for example delay and throughput). Hence, the research on aggregated multicast is still at an elementary stage. To this extent, in this study, we propose a novel aggregated multicast approach to reduce Network layer forwarding states. Our approach proposes new methods for selecting aggregated multicast trees, refining search range, and replacing stale trees in process of the aggregation. We show the effect of our proposed tree aggregation in terms of network performance metrics (delay and throughput). We also show that performance of our approach is better than previous approaches by comparing different performance metrics such as the number of trees, the number of forwarding states, delay, and throughput. Ns-3 simulation results confirm that our approach can reduce up to 92% forwarding states and 34% delay compared to conventional multicast, and reduce up to 88% forwarding states and 29% delay compared to the STS method. v
IEEE Access
As the electricity demand continues to grow and renewable energy resources are incorporated into ... more As the electricity demand continues to grow and renewable energy resources are incorporated into the grid, an effective dynamic state estimation is required for monitoring and grid synchronization. This paper proposes a microgrid state estimation approach considering the unreliable communication channels. Particularly, the renewable microgrid incorporating distributed energy resources, such as solar panels, are represented as a state-space linear model. Then, the wireless sensor network is adopted to sense the microgrid states. For long-distance transmission, we propose an innovative smart grid infrastructure, which is easy to design and offers a reliable two-way communication. In this infrastructure, the modulated signal is transmitted over an unreliable channel, which causes signal distortions. After demodulation and dequantization, the received signal at the energy management system is used the fading Kalman filter algorithm. Using the tunable forgetting factor in the predicted error covariance step, this algorithm aims to minimize the estimation errors so the estimated states reflect the true system states. Simulations results indicate that the developed approach estimates the system states within 0.25 seconds. INDEX TERMS Binary phase shift keying, distributed energy resources, fading channel, microgrid, Kalman filter.
2017 19th International Conference on Advanced Communication Technology (ICACT), 2017
Given the huge concerns all over the world regarding carbon emissions from fossil fuels, energy c... more Given the huge concerns all over the world regarding carbon emissions from fossil fuels, energy crisis and global warming, the renewable distributed energy resources (DERs) are going to be integrated in electricity grids, which will make the energy supply more reliable and decrease transmission losses. Regrettably, one of the main practical defies in smart grid planning, control and operation with DERs is the voltage regulation at the distribution field level. This problem motivates the deployment of sensors and actuators in electricity grids so that the voltage regulation can be controlled at the desired level. To do that the measurements from the renewable microgrid state information is transmitted to an energy management center via the internet of things (IoT) based communication network. In other words, the proposed IoT communication infrastructure provides an opportunity to address the voltage regulation challenge by offering the two-way communication links for microgrid state information collection and estimation. Based on this smart grid communication infrastructure, we propose a Kalman filter based state estimation method for voltage regulation of the microgrid. Finally, the effectiveness of the Kalman filter based state estimation method is illustrated using the linear state space model of a microgrid incorporating DERs.
International Journal of Computer Science and Information Security, 2010
Long term evolution (LTE) is designed for high speed data rate, higher spectral efficiency, and l... more Long term evolution (LTE) is designed for high speed data rate, higher spectral efficiency, and lower latency as well as high-capacity voice support. LTE uses single carrierfrequency division multiple access (SC-FDMA) scheme for the uplink transmission and orthogonal frequency division multiple access (OFDMA) in downlink. The one of the most important challenges for a terminal implementation are channel estimation (CE) and equalization. In this paper, a minimum mean square error (MMSE) based channel estimator is proposed for an OFDMA systems that can avoid the ill-conditioned least square (LS) problem with lower computational complexity. This channel estimation technique uses knowledge of channel properties to estimate the unknown channel transfer function at non-pilot subcarriers.
Bangladesh Journal of Orthodontics and Dentofacial Orthopedics, 2015
Aim: To evaluate the transverse discrepancy in Class II div 2 malocclusion and normal occlusion. ... more Aim: To evaluate the transverse discrepancy in Class II div 2 malocclusion and normal occlusion. Also to test the hypothesis that models with class II div 2 malocclusions may have mean maxillary arch widths significantly smaller than those with normal occlusion. Thus the proposed study will generate interest among the orthodontists for further study over the transverse discrepancy of our patients and guide them to establish effective treatment strategy and their management.
Digest of the 9th International Conference on Optical Internet (COIN 2010), 2010
Abstract-The paper describes different types of sub-carrier mapping schemes for LTE-SCFDMA system... more Abstract-The paper describes different types of sub-carrier mapping schemes for LTE-SCFDMA systems such that the equip ment designers and system operators can use their judgment to find the best scheme to meet their specific needs. Index Terms-CCDF, IFDMA, LFDMA, ...
Digest of the 9th International Conference on Optical Internet (COIN 2010), 2010
Department of Electronics and Radio Engineering, Kyung Hee University 1 Seocheon, Kihung, Yongin,... more Department of Electronics and Radio Engineering, Kyung Hee University 1 Seocheon, Kihung, Yongin, Gyeonggi, 449-701, Republic of Korea Email: masud@vlsi.khu.ac.kr ... Abstract-In this paper, a variable step size (VSS)-Ieast mean squares (LMS) channel ...
2010 13th International Conference on Computer and Information Technology (ICCIT), 2010
Single carrier-frequency division multiple access (SC-FDMA) utilizes single carrier modulation at... more Single carrier-frequency division multiple access (SC-FDMA) utilizes single carrier modulation at the transmitter and frequency domain equalization at the receiver. It has almost similar performance and essentially the same overall structure of an orthogonal frequency division multiple access (OFDMA) system with low peak to average power ratio (PAPR). Recently, the SC-FDMA has drawn great attention as an attractive alternative to OFDMA, in the uplink communications where lower PAPR greatly benefits the mobile terminal in terms of manufacturing cost as well as transmit power efficiency. Such power efficiency can provide considerable performance improvements in future wireless communication networks. This article outlines the basic principles of SC-FDMA systems with different types of sub-carrier mapping schemes. Simulation results demonstrate the performance of different sub-carrier mapping schemes under ideal and pedestrian channel condition.
2010 13th International Conference on Computer and Information Technology (ICCIT), 2010
In this paper least square (LS) and linear minimum mean square error (LMMSE) channel estimation (... more In this paper least square (LS) and linear minimum mean square error (LMMSE) channel estimation (CE) techniques are presented for long term evolution (LTE) single carrier-frequency division multiplexing (SC-FDMA) systems. The main purpose of LTE is to increases data rate but energy utilization both on the mobile terminal as well as network side is important. For doing this, major challenges for LTE terminal are CE and equalization. This paper discusses the CE techniques and challenges imposed by developments in the LTE terminal implementation. Simulation results shows that the LMMSE CE algorithms outperforms the LS in term of mean square error (MSE) by more than around 3dB. Hence, based on a given LTE systems resources and specifications, a appropriate method among the presented methods can be applied.
14th International Conference on Computer and Information Technology (ICCIT 2011), 2011
Cognitive radio (CR) is the enabling technology for dynamic spectrum access, which may potentiall... more Cognitive radio (CR) is the enabling technology for dynamic spectrum access, which may potentially mitigate the radio spectrum scarcity problem encountered in many countries. This paper is concerned with power allocation spectrum sharing CR networks, where a secondary user (SU) communicates simultaneously over the same frequency band with an existing primary users (PUs) link. In addition, this method uses PU feedback information. It is assumed that the SU transmitter has the perfect channel state information (CSI) on the fading channels from SU transmitter to both PU and SU receivers, as well as the fading channel from PU transmitter to PU receiver. Furthermore, the proposed method takes into account the statistical variation of the signal to interference plus noise ratio (SINR) of each transmitter/receiver pair and optimally allocates power to minimize probability of fading-induced outage probability. Such approaches can guarantee convergence towards the optimal solution with an acceptable convergence speed. Therefore, equipment designers and system operators can use their judgment to find the best SU pairs to meet their specific needs. Simulation results are provided for the optimal power control performance.
14th International Conference on Computer and Information Technology (ICCIT 2011), 2011
Multiple input multiple output (MIMO) technology allows mobile networks to obtain higher signal t... more Multiple input multiple output (MIMO) technology allows mobile networks to obtain higher signal to noise ratio to achieves considerable performance gain. It provides the significant performance improvement for the fourth generation (4G) communication systems. This paper, we compare the performance of least mean square (LMS) and recursive least square (RLS) channel estimation (CE) algorithm for MIMO orthogonal frequency division multiplexing (OFDM) systems. The simulation results show that the RLS has better mean square error (MSE) performance compared with LMS algorithm. The RLS CE algorithm has better anti-noise as well as tracking ability. But the RLS CE algorithm suffers from higher complexity than LMS CE algorithm. In addition, when the number of receiving antenna is greater than transmitting antenna then the performance is increase significantly in both algorithms and vice versa. Furthermore, as the SNR is increases from 5 to 15dB then MSE is deceases with each iteration. Therefore, the advantage in the MSE and convergence towards true channel coefficient may be significantly useful for future mobile communications which allow broadband multimedia Internet access and wireless connection anywhere, and any time.
14th International Conference on Computer and Information Technology (ICCIT 2011), 2011
The explosive growth of wireless services in recent years leads to a spectrum scarcity. Cognitive... more The explosive growth of wireless services in recent years leads to a spectrum scarcity. Cognitive radio (CR) is a promising technology to resolve the inconsistency between spectrum scarcity and spectrum underutilization. Orthogonal frequency division multiplexing (OFDM) provides an efficient and flexible transmission scheme in physical layer for CR. It is convenient for cognitive devices to close tones corresponding to spectrum map and prevent the license users (LUs) from interference. In this paper, we proposed an adaptive channel estimation technique for OFDM in the context of CR systems. We develop a control fee variable step size (VSS)-least mean square (LMS) CE algorithm that can adapts the optimum weighting coefficient to the channel condition. This time-varying step size method is updated at each iteration to minimize the sum of the squares of the prior estimation errors up to the current time point. This method use negative exponential error function to decrease the estimation error in CE procedure. Such approaches can guarantee the convergence towards the true channel coefficient.
Electronics Letters, 2011
Introduction: The simplest and most popular blind channel estimation (CE) methods are the standar... more Introduction: The simplest and most popular blind channel estimation (CE) methods are the standard least mean squared (LMS) and normal-ised LMS (NLMS) CE algorithms which lead to low complexity [1]. An important limitation associated with the performance of these methods is the ...
E-governance is a process of reform in the way governments work share information, engage citizen... more E-governance is a process of reform in the way governments work share information, engage citizens and deliver services to external and internal clients for the benefit of both government and the clients that they serve. At that point, a new nomenclature will arise reflecting the change articulated in future generations. But this new nomenclature will only be an extension of the discipline that began to evolve in the late twentieth century. Here we successfully implement e-governance in Bangladesh using modified OECD model and modified Gartner Model based upon the infrastructure of telecom industries lying here following the strategy proposed by Riley and Sheridan.
2018 5th International Conference on Networking, Systems and Security (NSysS)
Multicast is an efficient method for sending data to multiple destinations in a single transmissi... more Multicast is an efficient method for sending data to multiple destinations in a single transmission. Conventional multicast routing often suffers from scalability issues. Here, the number of forwarding states maintained in the Network layer generally increases with the number of concurrently active multicast groups. Consequently, large-size routing tables get generated, which in turn causes degradation in router performance. There exist only a limited number of studies on aggregated multicast to address this issue. The existing studies such as AM (Aggregated Multicast), STA (Scalable Tree Aggregation for Multicast), and STS (Shared-Tree Selection for Aggregated Multicast) attempt to perform tree aggregation, however, still retain high number of forwarding states in the routers. Besides, they mostly ignore the effect of tree aggregation ratio in terms of network performance metrics (for example delay and throughput). Hence, the research on aggregated multicast is still at an elementary stage. To this extent, in this study, we propose a novel aggregated multicast approach to reduce Network layer forwarding states. Our approach proposes new methods for selecting aggregated multicast trees, refining search range, and replacing stale trees in process of the aggregation. We show the effect of our proposed tree aggregation in terms of network performance metrics (delay and throughput). We also show that performance of our approach is better than previous approaches by comparing different performance metrics such as the number of trees, the number of forwarding states, delay, and throughput. Ns-3 simulation results confirm that our approach can reduce up to 92% forwarding states and 34% delay compared to conventional multicast, and reduce up to 88% forwarding states and 29% delay compared to the STS method. v
IEEE Access
As the electricity demand continues to grow and renewable energy resources are incorporated into ... more As the electricity demand continues to grow and renewable energy resources are incorporated into the grid, an effective dynamic state estimation is required for monitoring and grid synchronization. This paper proposes a microgrid state estimation approach considering the unreliable communication channels. Particularly, the renewable microgrid incorporating distributed energy resources, such as solar panels, are represented as a state-space linear model. Then, the wireless sensor network is adopted to sense the microgrid states. For long-distance transmission, we propose an innovative smart grid infrastructure, which is easy to design and offers a reliable two-way communication. In this infrastructure, the modulated signal is transmitted over an unreliable channel, which causes signal distortions. After demodulation and dequantization, the received signal at the energy management system is used the fading Kalman filter algorithm. Using the tunable forgetting factor in the predicted error covariance step, this algorithm aims to minimize the estimation errors so the estimated states reflect the true system states. Simulations results indicate that the developed approach estimates the system states within 0.25 seconds. INDEX TERMS Binary phase shift keying, distributed energy resources, fading channel, microgrid, Kalman filter.
2017 19th International Conference on Advanced Communication Technology (ICACT), 2017
Given the huge concerns all over the world regarding carbon emissions from fossil fuels, energy c... more Given the huge concerns all over the world regarding carbon emissions from fossil fuels, energy crisis and global warming, the renewable distributed energy resources (DERs) are going to be integrated in electricity grids, which will make the energy supply more reliable and decrease transmission losses. Regrettably, one of the main practical defies in smart grid planning, control and operation with DERs is the voltage regulation at the distribution field level. This problem motivates the deployment of sensors and actuators in electricity grids so that the voltage regulation can be controlled at the desired level. To do that the measurements from the renewable microgrid state information is transmitted to an energy management center via the internet of things (IoT) based communication network. In other words, the proposed IoT communication infrastructure provides an opportunity to address the voltage regulation challenge by offering the two-way communication links for microgrid state information collection and estimation. Based on this smart grid communication infrastructure, we propose a Kalman filter based state estimation method for voltage regulation of the microgrid. Finally, the effectiveness of the Kalman filter based state estimation method is illustrated using the linear state space model of a microgrid incorporating DERs.
International Journal of Computer Science and Information Security, 2010
Long term evolution (LTE) is designed for high speed data rate, higher spectral efficiency, and l... more Long term evolution (LTE) is designed for high speed data rate, higher spectral efficiency, and lower latency as well as high-capacity voice support. LTE uses single carrierfrequency division multiple access (SC-FDMA) scheme for the uplink transmission and orthogonal frequency division multiple access (OFDMA) in downlink. The one of the most important challenges for a terminal implementation are channel estimation (CE) and equalization. In this paper, a minimum mean square error (MMSE) based channel estimator is proposed for an OFDMA systems that can avoid the ill-conditioned least square (LS) problem with lower computational complexity. This channel estimation technique uses knowledge of channel properties to estimate the unknown channel transfer function at non-pilot subcarriers.
Bangladesh Journal of Orthodontics and Dentofacial Orthopedics, 2015
Aim: To evaluate the transverse discrepancy in Class II div 2 malocclusion and normal occlusion. ... more Aim: To evaluate the transverse discrepancy in Class II div 2 malocclusion and normal occlusion. Also to test the hypothesis that models with class II div 2 malocclusions may have mean maxillary arch widths significantly smaller than those with normal occlusion. Thus the proposed study will generate interest among the orthodontists for further study over the transverse discrepancy of our patients and guide them to establish effective treatment strategy and their management.
Digest of the 9th International Conference on Optical Internet (COIN 2010), 2010
Abstract-The paper describes different types of sub-carrier mapping schemes for LTE-SCFDMA system... more Abstract-The paper describes different types of sub-carrier mapping schemes for LTE-SCFDMA systems such that the equip ment designers and system operators can use their judgment to find the best scheme to meet their specific needs. Index Terms-CCDF, IFDMA, LFDMA, ...
Digest of the 9th International Conference on Optical Internet (COIN 2010), 2010
Department of Electronics and Radio Engineering, Kyung Hee University 1 Seocheon, Kihung, Yongin,... more Department of Electronics and Radio Engineering, Kyung Hee University 1 Seocheon, Kihung, Yongin, Gyeonggi, 449-701, Republic of Korea Email: masud@vlsi.khu.ac.kr ... Abstract-In this paper, a variable step size (VSS)-Ieast mean squares (LMS) channel ...
2010 13th International Conference on Computer and Information Technology (ICCIT), 2010
Single carrier-frequency division multiple access (SC-FDMA) utilizes single carrier modulation at... more Single carrier-frequency division multiple access (SC-FDMA) utilizes single carrier modulation at the transmitter and frequency domain equalization at the receiver. It has almost similar performance and essentially the same overall structure of an orthogonal frequency division multiple access (OFDMA) system with low peak to average power ratio (PAPR). Recently, the SC-FDMA has drawn great attention as an attractive alternative to OFDMA, in the uplink communications where lower PAPR greatly benefits the mobile terminal in terms of manufacturing cost as well as transmit power efficiency. Such power efficiency can provide considerable performance improvements in future wireless communication networks. This article outlines the basic principles of SC-FDMA systems with different types of sub-carrier mapping schemes. Simulation results demonstrate the performance of different sub-carrier mapping schemes under ideal and pedestrian channel condition.
2010 13th International Conference on Computer and Information Technology (ICCIT), 2010
In this paper least square (LS) and linear minimum mean square error (LMMSE) channel estimation (... more In this paper least square (LS) and linear minimum mean square error (LMMSE) channel estimation (CE) techniques are presented for long term evolution (LTE) single carrier-frequency division multiplexing (SC-FDMA) systems. The main purpose of LTE is to increases data rate but energy utilization both on the mobile terminal as well as network side is important. For doing this, major challenges for LTE terminal are CE and equalization. This paper discusses the CE techniques and challenges imposed by developments in the LTE terminal implementation. Simulation results shows that the LMMSE CE algorithms outperforms the LS in term of mean square error (MSE) by more than around 3dB. Hence, based on a given LTE systems resources and specifications, a appropriate method among the presented methods can be applied.
14th International Conference on Computer and Information Technology (ICCIT 2011), 2011
Cognitive radio (CR) is the enabling technology for dynamic spectrum access, which may potentiall... more Cognitive radio (CR) is the enabling technology for dynamic spectrum access, which may potentially mitigate the radio spectrum scarcity problem encountered in many countries. This paper is concerned with power allocation spectrum sharing CR networks, where a secondary user (SU) communicates simultaneously over the same frequency band with an existing primary users (PUs) link. In addition, this method uses PU feedback information. It is assumed that the SU transmitter has the perfect channel state information (CSI) on the fading channels from SU transmitter to both PU and SU receivers, as well as the fading channel from PU transmitter to PU receiver. Furthermore, the proposed method takes into account the statistical variation of the signal to interference plus noise ratio (SINR) of each transmitter/receiver pair and optimally allocates power to minimize probability of fading-induced outage probability. Such approaches can guarantee convergence towards the optimal solution with an acceptable convergence speed. Therefore, equipment designers and system operators can use their judgment to find the best SU pairs to meet their specific needs. Simulation results are provided for the optimal power control performance.
14th International Conference on Computer and Information Technology (ICCIT 2011), 2011
Multiple input multiple output (MIMO) technology allows mobile networks to obtain higher signal t... more Multiple input multiple output (MIMO) technology allows mobile networks to obtain higher signal to noise ratio to achieves considerable performance gain. It provides the significant performance improvement for the fourth generation (4G) communication systems. This paper, we compare the performance of least mean square (LMS) and recursive least square (RLS) channel estimation (CE) algorithm for MIMO orthogonal frequency division multiplexing (OFDM) systems. The simulation results show that the RLS has better mean square error (MSE) performance compared with LMS algorithm. The RLS CE algorithm has better anti-noise as well as tracking ability. But the RLS CE algorithm suffers from higher complexity than LMS CE algorithm. In addition, when the number of receiving antenna is greater than transmitting antenna then the performance is increase significantly in both algorithms and vice versa. Furthermore, as the SNR is increases from 5 to 15dB then MSE is deceases with each iteration. Therefore, the advantage in the MSE and convergence towards true channel coefficient may be significantly useful for future mobile communications which allow broadband multimedia Internet access and wireless connection anywhere, and any time.
14th International Conference on Computer and Information Technology (ICCIT 2011), 2011
The explosive growth of wireless services in recent years leads to a spectrum scarcity. Cognitive... more The explosive growth of wireless services in recent years leads to a spectrum scarcity. Cognitive radio (CR) is a promising technology to resolve the inconsistency between spectrum scarcity and spectrum underutilization. Orthogonal frequency division multiplexing (OFDM) provides an efficient and flexible transmission scheme in physical layer for CR. It is convenient for cognitive devices to close tones corresponding to spectrum map and prevent the license users (LUs) from interference. In this paper, we proposed an adaptive channel estimation technique for OFDM in the context of CR systems. We develop a control fee variable step size (VSS)-least mean square (LMS) CE algorithm that can adapts the optimum weighting coefficient to the channel condition. This time-varying step size method is updated at each iteration to minimize the sum of the squares of the prior estimation errors up to the current time point. This method use negative exponential error function to decrease the estimation error in CE procedure. Such approaches can guarantee the convergence towards the true channel coefficient.
Electronics Letters, 2011
Introduction: The simplest and most popular blind channel estimation (CE) methods are the standar... more Introduction: The simplest and most popular blind channel estimation (CE) methods are the standard least mean squared (LMS) and normal-ised LMS (NLMS) CE algorithms which lead to low complexity [1]. An important limitation associated with the performance of these methods is the ...
E-governance is a process of reform in the way governments work share information, engage citizen... more E-governance is a process of reform in the way governments work share information, engage citizens and deliver services to external and internal clients for the benefit of both government and the clients that they serve. At that point, a new nomenclature will arise reflecting the change articulated in future generations. But this new nomenclature will only be an extension of the discipline that began to evolve in the late twentieth century. Here we successfully implement e-governance in Bangladesh using modified OECD model and modified Gartner Model based upon the infrastructure of telecom industries lying here following the strategy proposed by Riley and Sheridan.