Pub Date : 2020-07-01DOI: 10.1109/SPCOM50965.2020.9179524
P. Maheswaran, A. Ananth, M. D. Selvaraj
Space shift keying (SSK) is a modulation technique that uses the index of transmit antennas for information transmission. Realization of SSK transmitter requires only one radio frequency (RF) chain. But the number of transmitter antennas in SSK increases exponentially with spectral efficiency. The transmitter complexity of SSK can be reduced by employing media based modulation (MBM) since it uses the index of different mirror activation patterns (MAPs) of a single reconfigurable antenna (RA) for information transmission. At the receiver, maximum ratio combining (MRC) for SSK achieves diversity gain at the cost of number of RF chains as many as the receiver antennas. In order to reduce this complexity without compromise on the diversity gain, selection combining (SC) receiver based on RA for SSK (SSK-SC) is proposed in this work to reduce the number of RF chains and antennas to just one. For SSK-SC, the bit error rate (BER) expressions (union bound and asymptotic) are derived in simple closed forms. Based on the instantaneous BER, the outage probability of SSK-SC is derived. All theoretical analyses are validated with simulation results.
{"title":"Simplified Performance Analysis of Space Shift Keying Selection Combining with Reconfigurable Antennas","authors":"P. Maheswaran, A. Ananth, M. D. Selvaraj","doi":"10.1109/SPCOM50965.2020.9179524","DOIUrl":"https://doi.org/10.1109/SPCOM50965.2020.9179524","url":null,"abstract":"Space shift keying (SSK) is a modulation technique that uses the index of transmit antennas for information transmission. Realization of SSK transmitter requires only one radio frequency (RF) chain. But the number of transmitter antennas in SSK increases exponentially with spectral efficiency. The transmitter complexity of SSK can be reduced by employing media based modulation (MBM) since it uses the index of different mirror activation patterns (MAPs) of a single reconfigurable antenna (RA) for information transmission. At the receiver, maximum ratio combining (MRC) for SSK achieves diversity gain at the cost of number of RF chains as many as the receiver antennas. In order to reduce this complexity without compromise on the diversity gain, selection combining (SC) receiver based on RA for SSK (SSK-SC) is proposed in this work to reduce the number of RF chains and antennas to just one. For SSK-SC, the bit error rate (BER) expressions (union bound and asymptotic) are derived in simple closed forms. Based on the instantaneous BER, the outage probability of SSK-SC is derived. All theoretical analyses are validated with simulation results.","PeriodicalId":208527,"journal":{"name":"2020 International Conference on Signal Processing and Communications (SPCOM)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134407522","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-07-01DOI: 10.1109/SPCOM50965.2020.9179584
D. Rathore, Salil Kashyap, A. Rajesh
We investigate the efficacy of antenna selection (AS) at ajammer with a massive number of antennas in deteriorating the sum downlink (DL) spectral efficiency (SE) of a legitimate massive MIMO system. To this end, we analyze the DL sum SE of a massive MIMO system when the legitimate base station (BS) uses zero-forcing (ZF) precoding while the jammer employs either maximum ratio (MR) or ZF precoding and uses all its antennas to transmit jamming signal on the DL. We also evaluate the extent of degradation in the sum SE when the jammer selects a fraction of the antennas based on the strength of the estimated channels and uses them to precode. We prove that a massive antenna jammer that employs MR precoding instead of ZF precoding and uses only half of its strongest antennas to precode can achieve nearly 90% of the degradation achieved by a full-antenna jammer.
{"title":"On the Efficacy of Antenna Selection at the Massive Antenna Jammer","authors":"D. Rathore, Salil Kashyap, A. Rajesh","doi":"10.1109/SPCOM50965.2020.9179584","DOIUrl":"https://doi.org/10.1109/SPCOM50965.2020.9179584","url":null,"abstract":"We investigate the efficacy of antenna selection (AS) at ajammer with a massive number of antennas in deteriorating the sum downlink (DL) spectral efficiency (SE) of a legitimate massive MIMO system. To this end, we analyze the DL sum SE of a massive MIMO system when the legitimate base station (BS) uses zero-forcing (ZF) precoding while the jammer employs either maximum ratio (MR) or ZF precoding and uses all its antennas to transmit jamming signal on the DL. We also evaluate the extent of degradation in the sum SE when the jammer selects a fraction of the antennas based on the strength of the estimated channels and uses them to precode. We prove that a massive antenna jammer that employs MR precoding instead of ZF precoding and uses only half of its strongest antennas to precode can achieve nearly 90% of the degradation achieved by a full-antenna jammer.","PeriodicalId":208527,"journal":{"name":"2020 International Conference on Signal Processing and Communications (SPCOM)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134421821","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-07-01DOI: 10.1109/SPCOM50965.2020.9179614
Shyamal Dhua, Arjun Rajan, K. Appaiah, V. Gadre
Filter Bank Multicarrier (FBMC) and Filtered OFDM (f-OFDM) are among the preferred waveform candidates for 5G. However, f-OFDM is considered as more favourable compared to FBMC, since maximal spectrally efficient FBMC systems face inherent interference from sub-carriers. Cancelling out this interference requires filters with long impulse responses. Also to deal with the highly frequency selective channels, without complex receivers, we need more number of sub-carriers. These in turn increase system latency and complexity. However, using some filter design techniques we can reduce the inherent interference, and with proper channel equalization we can even work with lower number of sub-carriers in FBMC. In this paper we present an analysis of FBMC based wireless systems that possess a lower number of sub-carriers, which perform inherently better than f-OFDM system in terms of latency and BER and also has lower computational complexity. Simulations reveal that FBMC system shows almost an 10 dB improvement in BER performance compared to f-OFDM system.
{"title":"Low complexity FBMC with Filtered OFDM for 5G wireless systems","authors":"Shyamal Dhua, Arjun Rajan, K. Appaiah, V. Gadre","doi":"10.1109/SPCOM50965.2020.9179614","DOIUrl":"https://doi.org/10.1109/SPCOM50965.2020.9179614","url":null,"abstract":"Filter Bank Multicarrier (FBMC) and Filtered OFDM (f-OFDM) are among the preferred waveform candidates for 5G. However, f-OFDM is considered as more favourable compared to FBMC, since maximal spectrally efficient FBMC systems face inherent interference from sub-carriers. Cancelling out this interference requires filters with long impulse responses. Also to deal with the highly frequency selective channels, without complex receivers, we need more number of sub-carriers. These in turn increase system latency and complexity. However, using some filter design techniques we can reduce the inherent interference, and with proper channel equalization we can even work with lower number of sub-carriers in FBMC. In this paper we present an analysis of FBMC based wireless systems that possess a lower number of sub-carriers, which perform inherently better than f-OFDM system in terms of latency and BER and also has lower computational complexity. Simulations reveal that FBMC system shows almost an 10 dB improvement in BER performance compared to f-OFDM system.","PeriodicalId":208527,"journal":{"name":"2020 International Conference on Signal Processing and Communications (SPCOM)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125561571","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-07-01DOI: 10.1109/SPCOM50965.2020.9179535
Avinash Kumar, S. Shahnawazuddin
A novel approach for detecting vowels, vowel onset-points and vowel end-points is presented in this paper. This study is motivated by the fact that some vowels have significant amount of spectral information even in the high frequency region. Furthermore, high-pitched speakers such as adult females and children have relatively more high frequency components than adult males. In order to effectively capture that information, we have exploited linear frequency cepstral coefficients (LFCC) along with Mel-frequency cepstral coefficients (MFCC). The MFCC features are known to down-sample the high frequency components. The LFCC features, on the other hand, provide equal resolution to all frequencies. Therefore, the use of LFCC features helps in effectively resolving high frequency components as well. In order to detect the vowels, two separate vowel non-vowel classification systems, employing deep learning architectures, are developed using MFCC and LFCC features, respectively. Next, for any given test utterance, lattices are generated using the trained acoustic models. The beginning time, duration and confidence scores are then extracted for each occurrence of vowel/non-vowel from the lattices. The weak evidences are discarded by applying a threshold on the confidence scores in order to reduce spurious detection. Finally, the evidences obtained using MFCC and LFCC features are weighted with their respective confidence scores and combined. The proposed approach is observed to outperform the existing ones. Using the detected vowel regions, we have also developed a simple scheme to determine whether the given speech utterance is from an adult or a child speaker. The developed scheme is highly effective in discriminating between adult and child speakers.
{"title":"Robust Detection of Vowel Onset and End Points","authors":"Avinash Kumar, S. Shahnawazuddin","doi":"10.1109/SPCOM50965.2020.9179535","DOIUrl":"https://doi.org/10.1109/SPCOM50965.2020.9179535","url":null,"abstract":"A novel approach for detecting vowels, vowel onset-points and vowel end-points is presented in this paper. This study is motivated by the fact that some vowels have significant amount of spectral information even in the high frequency region. Furthermore, high-pitched speakers such as adult females and children have relatively more high frequency components than adult males. In order to effectively capture that information, we have exploited linear frequency cepstral coefficients (LFCC) along with Mel-frequency cepstral coefficients (MFCC). The MFCC features are known to down-sample the high frequency components. The LFCC features, on the other hand, provide equal resolution to all frequencies. Therefore, the use of LFCC features helps in effectively resolving high frequency components as well. In order to detect the vowels, two separate vowel non-vowel classification systems, employing deep learning architectures, are developed using MFCC and LFCC features, respectively. Next, for any given test utterance, lattices are generated using the trained acoustic models. The beginning time, duration and confidence scores are then extracted for each occurrence of vowel/non-vowel from the lattices. The weak evidences are discarded by applying a threshold on the confidence scores in order to reduce spurious detection. Finally, the evidences obtained using MFCC and LFCC features are weighted with their respective confidence scores and combined. The proposed approach is observed to outperform the existing ones. Using the detected vowel regions, we have also developed a simple scheme to determine whether the given speech utterance is from an adult or a child speaker. The developed scheme is highly effective in discriminating between adult and child speakers.","PeriodicalId":208527,"journal":{"name":"2020 International Conference on Signal Processing and Communications (SPCOM)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126676136","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-07-01DOI: 10.1109/SPCOM50965.2020.9179598
Tilak Purohit, V. Ramasubramanian
Atal in 1983 proposed a speech coding algorithm called temporal decomposition (TD), which decomposes a time sequence of LPC derived log-area parameters, into a sequence of overlapping event/interpolation functions corresponding to their associated event vectors. The method provides a “global” event function corresponding to all the area parameters. In this work, we extend Atal’s methodology to obtain the component level event functions corresponding to each area parameter and empirically show that the signal reconstruction error reduces using the component level target function rather than a global target function. This work can further be used to study the coarticulation behavior corresponding to individual articulators by inferring the component level event functions when the proposed method is used for decomposing the articulatory representations.
{"title":"Component-specific temporal decomposition: application to enhanced speech coding and co-articulation analysis","authors":"Tilak Purohit, V. Ramasubramanian","doi":"10.1109/SPCOM50965.2020.9179598","DOIUrl":"https://doi.org/10.1109/SPCOM50965.2020.9179598","url":null,"abstract":"Atal in 1983 proposed a speech coding algorithm called temporal decomposition (TD), which decomposes a time sequence of LPC derived log-area parameters, into a sequence of overlapping event/interpolation functions corresponding to their associated event vectors. The method provides a “global” event function corresponding to all the area parameters. In this work, we extend Atal’s methodology to obtain the component level event functions corresponding to each area parameter and empirically show that the signal reconstruction error reduces using the component level target function rather than a global target function. This work can further be used to study the coarticulation behavior corresponding to individual articulators by inferring the component level event functions when the proposed method is used for decomposing the articulatory representations.","PeriodicalId":208527,"journal":{"name":"2020 International Conference on Signal Processing and Communications (SPCOM)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114886709","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-06-28DOI: 10.1109/SPCOM50965.2020.9179528
Vetrivel Chelian Thirumavalavan, V. P. G. Sivabalan, S. Thiruvengadam
In this paper, Reconfigurable Intelligent Surface (RIS) assisted dual-hop multicast wireless communication network is proposed with two source nodes and two destination nodes. RIS boosts received signal strength through an intelligent software-controlled array of discrete phase-shifting metamaterials. The multicast communication from the source nodes is enabled using a Decode and Forward (DF) relay node. In the relay node, the Physical Layer Network Coding (PLNC) concept is applied and the PLNC symbol is transmitted to the destination nodes. The joint RIS-Multicast channels between source nodes and the relay node are modeled as the sum of two scaled non-central Chi-Square distributions. Analytical expressions are derived for Bit Error Rate (BER) at relay node and destination nodes using Moment Generating Function (MGF) approach and the results are validated using Monte-Carlo simulations. It is observed that the BER performance of the proposed RIS assisted network is a lot better than the conventional non-RIS channels links.
{"title":"BER Analysis of RIS Assisted Multicast Communications with Network Coding","authors":"Vetrivel Chelian Thirumavalavan, V. P. G. Sivabalan, S. Thiruvengadam","doi":"10.1109/SPCOM50965.2020.9179528","DOIUrl":"https://doi.org/10.1109/SPCOM50965.2020.9179528","url":null,"abstract":"In this paper, Reconfigurable Intelligent Surface (RIS) assisted dual-hop multicast wireless communication network is proposed with two source nodes and two destination nodes. RIS boosts received signal strength through an intelligent software-controlled array of discrete phase-shifting metamaterials. The multicast communication from the source nodes is enabled using a Decode and Forward (DF) relay node. In the relay node, the Physical Layer Network Coding (PLNC) concept is applied and the PLNC symbol is transmitted to the destination nodes. The joint RIS-Multicast channels between source nodes and the relay node are modeled as the sum of two scaled non-central Chi-Square distributions. Analytical expressions are derived for Bit Error Rate (BER) at relay node and destination nodes using Moment Generating Function (MGF) approach and the results are validated using Monte-Carlo simulations. It is observed that the BER performance of the proposed RIS assisted network is a lot better than the conventional non-RIS channels links.","PeriodicalId":208527,"journal":{"name":"2020 International Conference on Signal Processing and Communications (SPCOM)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127944576","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-06-16DOI: 10.1109/SPCOM50965.2020.9179604
T. BalamuraliB., E. J. Aslim, Y. Ng, Tricia Li, Chuen Kuo, Jacob Shihang Chen, Dorien Herremans, L. Ng, Jer-Ming Chen
Information on liquid jet stream flow is crucial in many real world applications. In a large number of cases, these flows fall directly onto free surfaces (e.g. pools), creating a splash with accompanying splashing sounds. The sound produced is supplied by energy interactions between the liquid jet stream and the passive free surface. In this investigation, we collect the sound of a water jet of varying flowrate falling into a pool of water, and use this sound to predict the flowrate and flowrate trajectory involved. Two approaches are employed: one uses machinelearning models trained using audio features extracted from the collected sound to predict the flowrate (and subsequently the flowrate trajectory). In contrast, the second method directly uses acoustic parameters related to the spectral energy of the liquidliquid interaction to estimate the flowrate trajectory. The actual flowrate, however, is determined directly using a gravimetric method: tracking the change in mass of the pooling liquid over time. We show here that the two methods agree well with the actual flowrate and offer comparable performance in accurately predicting the flowrate trajectory, and accordingly offer insights for potential real-life applications using sound.
{"title":"Acoustic prediction of flowrate: varying liquid jet stream onto a free surface","authors":"T. BalamuraliB., E. J. Aslim, Y. Ng, Tricia Li, Chuen Kuo, Jacob Shihang Chen, Dorien Herremans, L. Ng, Jer-Ming Chen","doi":"10.1109/SPCOM50965.2020.9179604","DOIUrl":"https://doi.org/10.1109/SPCOM50965.2020.9179604","url":null,"abstract":"Information on liquid jet stream flow is crucial in many real world applications. In a large number of cases, these flows fall directly onto free surfaces (e.g. pools), creating a splash with accompanying splashing sounds. The sound produced is supplied by energy interactions between the liquid jet stream and the passive free surface. In this investigation, we collect the sound of a water jet of varying flowrate falling into a pool of water, and use this sound to predict the flowrate and flowrate trajectory involved. Two approaches are employed: one uses machinelearning models trained using audio features extracted from the collected sound to predict the flowrate (and subsequently the flowrate trajectory). In contrast, the second method directly uses acoustic parameters related to the spectral energy of the liquidliquid interaction to estimate the flowrate trajectory. The actual flowrate, however, is determined directly using a gravimetric method: tracking the change in mass of the pooling liquid over time. We show here that the two methods agree well with the actual flowrate and offer comparable performance in accurately predicting the flowrate trajectory, and accordingly offer insights for potential real-life applications using sound.","PeriodicalId":208527,"journal":{"name":"2020 International Conference on Signal Processing and Communications (SPCOM)","volume":"142 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115626308","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-05-17DOI: 10.1109/SPCOM50965.2020.9179506
N. Sabu, Abhishek K. Gupta
Due to the limited capabilities of a single bionanomachine, complicated tasks can be performed only with the co-operation of multiple bio-nanomachines. In this work, we consider a diffusion-based molecular communication system with a transmitter bio-nanomachine (TBN) communicating with a fully-absorbing spherical receiver bio-nanomachine (RBN) in the presence of other TBNs. The bits transmitted by each of the TBNs are considered as random in each time slot and different for each TBNs contrary to the past works in literature with deterministic bits, which are the same to all TBNs. The TBNs are modeled using a marked Poisson point process (PPP) with the location of TBNs as points of PPP, and the transmit bits as marks. In this paper, we derive the expected number of molecules observed at the RBN and the bit error probability of the system. We validate our analysis using numerical results and provide various design insights about the system.
{"title":"Analysis of Diffusion Based Molecular Communication System with Multiple Transmitters","authors":"N. Sabu, Abhishek K. Gupta","doi":"10.1109/SPCOM50965.2020.9179506","DOIUrl":"https://doi.org/10.1109/SPCOM50965.2020.9179506","url":null,"abstract":"Due to the limited capabilities of a single bionanomachine, complicated tasks can be performed only with the co-operation of multiple bio-nanomachines. In this work, we consider a diffusion-based molecular communication system with a transmitter bio-nanomachine (TBN) communicating with a fully-absorbing spherical receiver bio-nanomachine (RBN) in the presence of other TBNs. The bits transmitted by each of the TBNs are considered as random in each time slot and different for each TBNs contrary to the past works in literature with deterministic bits, which are the same to all TBNs. The TBNs are modeled using a marked Poisson point process (PPP) with the location of TBNs as points of PPP, and the transmit bits as marks. In this paper, we derive the expected number of molecules observed at the RBN and the bit error probability of the system. We validate our analysis using numerical results and provide various design insights about the system.","PeriodicalId":208527,"journal":{"name":"2020 International Conference on Signal Processing and Communications (SPCOM)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121280947","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-04-27DOI: 10.1109/SPCOM50965.2020.9179613
K. Pandey, Abhishek K. Gupta
This paper considers a wireless sensor network deployed to sense an environment variable with a known spatial statistical profile. We propose to use the additional information of the spatial profile to improve the sensing range of sensors while allowing some tolerance in their sensing accuracy. We show that the use of this information improves the sensing performance of the total WSN. For this, we first derive analytical expressions for various performance metrics to measure the improvement in the sensing performance of WSN. We then discuss the sensing gains quantitatively using numerical results.
{"title":"Coverage Improvement of Wireless Sensor Networks via Spatial Profile Information","authors":"K. Pandey, Abhishek K. Gupta","doi":"10.1109/SPCOM50965.2020.9179613","DOIUrl":"https://doi.org/10.1109/SPCOM50965.2020.9179613","url":null,"abstract":"This paper considers a wireless sensor network deployed to sense an environment variable with a known spatial statistical profile. We propose to use the additional information of the spatial profile to improve the sensing range of sensors while allowing some tolerance in their sensing accuracy. We show that the use of this information improves the sensing performance of the total WSN. For this, we first derive analytical expressions for various performance metrics to measure the improvement in the sensing performance of WSN. We then discuss the sensing gains quantitatively using numerical results.","PeriodicalId":208527,"journal":{"name":"2020 International Conference on Signal Processing and Communications (SPCOM)","volume":"77 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131073299","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-03-13DOI: 10.1109/SPCOM50965.2020.9179533
D. Ghosh, Arun Verma, M. Hanawal
Recent advances in wireless radio frequency (RF) energy harvesting allows sensor nodes to increase their lifespan by remotely charging their batteries. The amount of energy harvested by the nodes varies depending on their ambient environment, and proximity to the energy source, and lifespan of the sensor network depends on the minimum amount of energy a node can harvest in the network. It is thus important to learn the least amount of energy harvested by nodes so that the source can transmit on a frequency band that maximizes this amount. We model this learning problem as a novel stochastic Maximin Multi-Armed Bandits (Maximin MAB) problem and propose an Upper Confidence Bound (UCB) based algorithm named Maximin UCB. Maximin MAB is a generalization of standard MAB, and Maximin UCB enjoys the same performance guarantee as to the UCBI algorithm. Our experimental results validate the performance guarantees of the proposed algorithm.
{"title":"Learning and Fairness in Energy Harvesting: A Maximin Multi-Armed Bandits Approach","authors":"D. Ghosh, Arun Verma, M. Hanawal","doi":"10.1109/SPCOM50965.2020.9179533","DOIUrl":"https://doi.org/10.1109/SPCOM50965.2020.9179533","url":null,"abstract":"Recent advances in wireless radio frequency (RF) energy harvesting allows sensor nodes to increase their lifespan by remotely charging their batteries. The amount of energy harvested by the nodes varies depending on their ambient environment, and proximity to the energy source, and lifespan of the sensor network depends on the minimum amount of energy a node can harvest in the network. It is thus important to learn the least amount of energy harvested by nodes so that the source can transmit on a frequency band that maximizes this amount. We model this learning problem as a novel stochastic Maximin Multi-Armed Bandits (Maximin MAB) problem and propose an Upper Confidence Bound (UCB) based algorithm named Maximin UCB. Maximin MAB is a generalization of standard MAB, and Maximin UCB enjoys the same performance guarantee as to the UCBI algorithm. Our experimental results validate the performance guarantees of the proposed algorithm.","PeriodicalId":208527,"journal":{"name":"2020 International Conference on Signal Processing and Communications (SPCOM)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122870492","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：