Pub Date : 2015-12-03DOI: 10.1109/PIMRC.2015.7343372
Tong Li, Tianyu Zhang, Bin Zhong, Zhongshan Zhang, A. Vasilakos
The impact of both maximal ratio combining (MRC) and relay selection on the physical layer security in wireless communication systems is studied by analyzing some important factors, including the probability characteristic of the legitimate receiver (Bob) and malicious eavesdropper (Eve)'s end-to-end signal-to-noise ratio (SNR), the secrecy outage probability, and the average secrecy channel capacity over Rayleigh fading Channel. We assume that Bob receives its data from both the relay and the source by cooperative communication, provided that MRC is employed at the receiver. Compared to the conventional MRC methods, a higher spatial diversity order can be exploited by performing relay selection in the proposed method, as validated via both theoretical analysis and numerical simulation. The theoretical closed-form expressions for some figures of merit, e.g., the secrecy outage probability and the average secrecy capacity, are all consistent with the numerical results.
{"title":"Physical layer security via maximal ratio combining and relay selection over Rayleigh fading channel","authors":"Tong Li, Tianyu Zhang, Bin Zhong, Zhongshan Zhang, A. Vasilakos","doi":"10.1109/PIMRC.2015.7343372","DOIUrl":"https://doi.org/10.1109/PIMRC.2015.7343372","url":null,"abstract":"The impact of both maximal ratio combining (MRC) and relay selection on the physical layer security in wireless communication systems is studied by analyzing some important factors, including the probability characteristic of the legitimate receiver (Bob) and malicious eavesdropper (Eve)'s end-to-end signal-to-noise ratio (SNR), the secrecy outage probability, and the average secrecy channel capacity over Rayleigh fading Channel. We assume that Bob receives its data from both the relay and the source by cooperative communication, provided that MRC is employed at the receiver. Compared to the conventional MRC methods, a higher spatial diversity order can be exploited by performing relay selection in the proposed method, as validated via both theoretical analysis and numerical simulation. The theoretical closed-form expressions for some figures of merit, e.g., the secrecy outage probability and the average secrecy capacity, are all consistent with the numerical results.","PeriodicalId":274734,"journal":{"name":"2015 IEEE 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115149119","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 : 2015-12-03DOI: 10.1109/PIMRC.2015.7343391
Xin Zhang, Xuewen Liao, Wei Li
This paper focuses on the problem of throughput maximization in a self-powered point-to-point Multi-Input Multi-Output (MIMO) wireless communication system, the transmitter of which is powered only by energy harvested from ambient radio signals. The transmitter follows a save-then-transmit protocol in transmission frames. The protocol requires the system first carry out the energy harvesting process which lasts for a fraction of time (referred to as save-ratio), then the rest of time is utilized to transmit data packets. It is assumed that the channel state information and energy harvesting rate are known in advance. The throughput maximization problem in this scenario is formulated, where the save-ratio and power allocation must be optimized simultaneously, and it is converted to an equivalent form which can be easier tackled through the traditional Water-Filling power allocation algorithm. By proving the concavity of the problem, the optimal save-ratio is solved as a function of energy harvesting rate and channel state matrix in closed form. The numerical results show how optimal save-ratio and maximal achievable throughput vary with energy harvesting rate.
{"title":"Throughput maximization in self-powered wireless MIMO communication system","authors":"Xin Zhang, Xuewen Liao, Wei Li","doi":"10.1109/PIMRC.2015.7343391","DOIUrl":"https://doi.org/10.1109/PIMRC.2015.7343391","url":null,"abstract":"This paper focuses on the problem of throughput maximization in a self-powered point-to-point Multi-Input Multi-Output (MIMO) wireless communication system, the transmitter of which is powered only by energy harvested from ambient radio signals. The transmitter follows a save-then-transmit protocol in transmission frames. The protocol requires the system first carry out the energy harvesting process which lasts for a fraction of time (referred to as save-ratio), then the rest of time is utilized to transmit data packets. It is assumed that the channel state information and energy harvesting rate are known in advance. The throughput maximization problem in this scenario is formulated, where the save-ratio and power allocation must be optimized simultaneously, and it is converted to an equivalent form which can be easier tackled through the traditional Water-Filling power allocation algorithm. By proving the concavity of the problem, the optimal save-ratio is solved as a function of energy harvesting rate and channel state matrix in closed form. The numerical results show how optimal save-ratio and maximal achievable throughput vary with energy harvesting rate.","PeriodicalId":274734,"journal":{"name":"2015 IEEE 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115274514","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 : 2015-12-03DOI: 10.1109/PIMRC.2015.7343378
Yanbo Ma, Piming Ma, X. Yang, Qiang Liu, Liuqing Ma
This paper studies a cooperative cognitive radio network (CRN), where the primary system leases the licensed band to the secondary system for a fraction of time in exchange for the secondary user (SU) acting as a decode-and-forward relay. Our aim is to determine the cooperative resource allocation strategy among the primary user (PU) and SU so as to minimize both the total power consumption and the leased time. Considering the delay-sensitive applications in CRN, the proposed policy ensures delay-related quality-of-service (QoS) requirements of both PU and SU. To this end, a multi-objective optimization problem of power and time allocation is formulated based on the effective capacity. Via employing weighting method the optimization problem is transformed to a convex one and solved based on the lagrangian dual method. The proposed policy has been shown to be deterministic functions of delay QoS exponent and channel fading states. In particular, the power allocation is achieved by multi-level QoS based water-filling policy. Moreover, numerical results are provided to demonstrate the performance of the proposed resource allocation policy.
{"title":"Resource allocation with delay QoS guarantees for spectrum sharing in cognitive radio networks","authors":"Yanbo Ma, Piming Ma, X. Yang, Qiang Liu, Liuqing Ma","doi":"10.1109/PIMRC.2015.7343378","DOIUrl":"https://doi.org/10.1109/PIMRC.2015.7343378","url":null,"abstract":"This paper studies a cooperative cognitive radio network (CRN), where the primary system leases the licensed band to the secondary system for a fraction of time in exchange for the secondary user (SU) acting as a decode-and-forward relay. Our aim is to determine the cooperative resource allocation strategy among the primary user (PU) and SU so as to minimize both the total power consumption and the leased time. Considering the delay-sensitive applications in CRN, the proposed policy ensures delay-related quality-of-service (QoS) requirements of both PU and SU. To this end, a multi-objective optimization problem of power and time allocation is formulated based on the effective capacity. Via employing weighting method the optimization problem is transformed to a convex one and solved based on the lagrangian dual method. The proposed policy has been shown to be deterministic functions of delay QoS exponent and channel fading states. In particular, the power allocation is achieved by multi-level QoS based water-filling policy. Moreover, numerical results are provided to demonstrate the performance of the proposed resource allocation policy.","PeriodicalId":274734,"journal":{"name":"2015 IEEE 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114642248","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 : 2015-12-03DOI: 10.1109/PIMRC.2015.7343335
Yi Yang, E. Mellios, M. Beach, G. Hilton
In this paper, the antenna performance for the 5.2 GHz 802.11n network is compared for four different access points with 3 antenna configurations based on the simulated throughput derived from measurements and a ray-tracing model in a two-storey house. The aim here is not only outline a methodology for access point performance that taking account the user equipment orientation, MIMO data streams that can be supported yielding a total throughput metric, but also ascertain the accuracy of the ray tracing model. In order to demonstrate this, two commercial access points are compared with two alternative antenna configurations: an orthogonal array of dipoles and a linear array of vertical dipoles. Radiation patterns, directivity and polarization mix are presented for all access points. Physical layer throughput is computed for all modulation and coding based on the measured spectral responses and simulated channel matrix. Results show the orthogonal dipole array has the best overall performance with the average throughput of 137 Mbps while vertical dipole array works worst with 106 Mbps. The ray tracing model produce results within 8% of differences and more importantly provide the same performance ranking order.
{"title":"Evaluation of three-element MIMO access points based on measurements and ray tracing models","authors":"Yi Yang, E. Mellios, M. Beach, G. Hilton","doi":"10.1109/PIMRC.2015.7343335","DOIUrl":"https://doi.org/10.1109/PIMRC.2015.7343335","url":null,"abstract":"In this paper, the antenna performance for the 5.2 GHz 802.11n network is compared for four different access points with 3 antenna configurations based on the simulated throughput derived from measurements and a ray-tracing model in a two-storey house. The aim here is not only outline a methodology for access point performance that taking account the user equipment orientation, MIMO data streams that can be supported yielding a total throughput metric, but also ascertain the accuracy of the ray tracing model. In order to demonstrate this, two commercial access points are compared with two alternative antenna configurations: an orthogonal array of dipoles and a linear array of vertical dipoles. Radiation patterns, directivity and polarization mix are presented for all access points. Physical layer throughput is computed for all modulation and coding based on the measured spectral responses and simulated channel matrix. Results show the orthogonal dipole array has the best overall performance with the average throughput of 137 Mbps while vertical dipole array works worst with 106 Mbps. The ray tracing model produce results within 8% of differences and more importantly provide the same performance ranking order.","PeriodicalId":274734,"journal":{"name":"2015 IEEE 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127829620","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 : 2015-12-03DOI: 10.1109/PIMRC.2015.7343396
Zhu Xiao, Huashan Li, Zhongfeng Li, Dong Wang
In this paper, we investigate the energy consumption issue which stems from the enormous number of running small cells deploying in the heterogeneous networks. We first propose two power consumption models so as to characterize the active state and the idle state of small cells respectively. Then two sleep modes for small cells tier, random sleep mode and load-awareness dynamic sleep mode, are proposed. The random sleep is designed based on a binomial distribution of the small cell operation probability. Through the analysis on activeness of small cell base stations (SBSs), we define the operation probability for the small cell applying the proposed dynamic sleep mode is associated to its traffic load level. The closed-form expressions of success probability, which is used to decide whether an active user can connect to a small cell successfully, are derived for the proposed two sleep modes. Energy consumption minimizations are presented for each of the proposed sleep modes with condition on success probability constraint. Simulation results prove the effectiveness of the proposed two sleep modes. Different energy saving gains can be achieved via using of the concrete sleep mode. The superior of the dynamic sleep mode by comparing the random sleep is also verified in terms of energy consumption, success probability and power efficiency.
{"title":"Load-awareness energy saving strategy via success probability constraint for heterogeneous small cell networks","authors":"Zhu Xiao, Huashan Li, Zhongfeng Li, Dong Wang","doi":"10.1109/PIMRC.2015.7343396","DOIUrl":"https://doi.org/10.1109/PIMRC.2015.7343396","url":null,"abstract":"In this paper, we investigate the energy consumption issue which stems from the enormous number of running small cells deploying in the heterogeneous networks. We first propose two power consumption models so as to characterize the active state and the idle state of small cells respectively. Then two sleep modes for small cells tier, random sleep mode and load-awareness dynamic sleep mode, are proposed. The random sleep is designed based on a binomial distribution of the small cell operation probability. Through the analysis on activeness of small cell base stations (SBSs), we define the operation probability for the small cell applying the proposed dynamic sleep mode is associated to its traffic load level. The closed-form expressions of success probability, which is used to decide whether an active user can connect to a small cell successfully, are derived for the proposed two sleep modes. Energy consumption minimizations are presented for each of the proposed sleep modes with condition on success probability constraint. Simulation results prove the effectiveness of the proposed two sleep modes. Different energy saving gains can be achieved via using of the concrete sleep mode. The superior of the dynamic sleep mode by comparing the random sleep is also verified in terms of energy consumption, success probability and power efficiency.","PeriodicalId":274734,"journal":{"name":"2015 IEEE 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128163947","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 : 2015-12-03DOI: 10.1109/PIMRC.2015.7343318
Anmeng Ge, Tiankui Zhang, Zhirui Hu, Zhimin Zeng
In multiuser MIMO systems, the required feedback rate per user increases linearly with the number of transmit antennas in order to achieve full multiplexing gain. When it comes to massive MIMO systems, the feedback overhead grows unacceptable. This motivates us to explore a novel feedback reduction scheme based on principal component analysis (PCA). The proposed PCA based feedback scheme exploits the spatial correlation characteristics of massive MIMO channel model, since transmit antennas are deployed compactly at base station (BS). In the proposed scheme, mobile station (MS) utilizes compression matrix to compress spatially correlated high-dimensional channel state information (CSI) into low-dimensional one. Then the compressed low-dimensional CSI is fed back to BS instantaneously with reduced feedback overhead and codebook search complexity. The compression matrix is attained by operating PCA on CSI which is estimated over a long-term period by MS. In order to recover high-dimensional CSI at BS, compression matrix is refreshed and fed back from MS to BS every long-term period. Numerical results and feedback overhead analysis show that the proposed PCA based feedback scheme can offer a tradeoff between system performance and feedback overhead.
{"title":"Principal component analysis based limited feedback scheme for massive MIMO systems","authors":"Anmeng Ge, Tiankui Zhang, Zhirui Hu, Zhimin Zeng","doi":"10.1109/PIMRC.2015.7343318","DOIUrl":"https://doi.org/10.1109/PIMRC.2015.7343318","url":null,"abstract":"In multiuser MIMO systems, the required feedback rate per user increases linearly with the number of transmit antennas in order to achieve full multiplexing gain. When it comes to massive MIMO systems, the feedback overhead grows unacceptable. This motivates us to explore a novel feedback reduction scheme based on principal component analysis (PCA). The proposed PCA based feedback scheme exploits the spatial correlation characteristics of massive MIMO channel model, since transmit antennas are deployed compactly at base station (BS). In the proposed scheme, mobile station (MS) utilizes compression matrix to compress spatially correlated high-dimensional channel state information (CSI) into low-dimensional one. Then the compressed low-dimensional CSI is fed back to BS instantaneously with reduced feedback overhead and codebook search complexity. The compression matrix is attained by operating PCA on CSI which is estimated over a long-term period by MS. In order to recover high-dimensional CSI at BS, compression matrix is refreshed and fed back from MS to BS every long-term period. Numerical results and feedback overhead analysis show that the proposed PCA based feedback scheme can offer a tradeoff between system performance and feedback overhead.","PeriodicalId":274734,"journal":{"name":"2015 IEEE 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125170188","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 : 2015-12-03DOI: 10.1109/PIMRC.2015.7343302
Esa R. Alotaibi, D. So, K. Hamdi
The cooperative diversity technique, combined with distributed space-time coding (DSTC), can efficiently improve the secrecy capacity and transmission reliability of wireless communication systems. In this paper, a multicast cooperative relaying system, based on distributed Alamouti space-time coding, is proposed, as a method of preventing an eavesdropper from accessing source data. A maximum likelihood (ML) decoder at the destination was chosen to receive the data, however, the ML decoder was unable to receive data at the eavesdropper. An analysis was carried out to synchronize DSTC, a Rayleigh fading channel, a Rician fading channel, and a combination thereof. It was assumed that channel state information (CSI) for the relay-destination link was known, although this was unknown for the relay-eavesdropper link. The theoretical results for the secrecy outage probability for the proposed scheme are then compared with existing results.
{"title":"Secrecy outage probability of cooperative network through distributed Alamouti code","authors":"Esa R. Alotaibi, D. So, K. Hamdi","doi":"10.1109/PIMRC.2015.7343302","DOIUrl":"https://doi.org/10.1109/PIMRC.2015.7343302","url":null,"abstract":"The cooperative diversity technique, combined with distributed space-time coding (DSTC), can efficiently improve the secrecy capacity and transmission reliability of wireless communication systems. In this paper, a multicast cooperative relaying system, based on distributed Alamouti space-time coding, is proposed, as a method of preventing an eavesdropper from accessing source data. A maximum likelihood (ML) decoder at the destination was chosen to receive the data, however, the ML decoder was unable to receive data at the eavesdropper. An analysis was carried out to synchronize DSTC, a Rayleigh fading channel, a Rician fading channel, and a combination thereof. It was assumed that channel state information (CSI) for the relay-destination link was known, although this was unknown for the relay-eavesdropper link. The theoretical results for the secrecy outage probability for the proposed scheme are then compared with existing results.","PeriodicalId":274734,"journal":{"name":"2015 IEEE 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124353397","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 : 2015-12-03DOI: 10.1109/PIMRC.2015.7343260
Yanbo J. Wang, Caili Guo, Xuekang Sun, Chunyan Feng
In overlay cognitive radio network, the available spectrum for secondary users are dynamically grabbed from a wideband of hundreds megahertz by spectrum sensing, which leads to remarkably differential path loss among different frequencies according to propagation theory. Adjusting the global path loss of cognitive relay system through spectrum allocation can serve nontrivial increment to the performance of multi-relay selection. In this paper, we propose a novel scheme combining multi-relay selection with spectrum allocation in the cognitive radio relay system to obtain maximum signal to noise ratio (SNR) at the receiver, called SAMS (spectrum allocation and multi-relay selection). Given the available frequencies, we first search all the possible resolutions for spectrum allocation, then make multi-relay selection under each possible spectrum allocation resolution to optimize the SNR value at the receiver. Finally, we choose the largest SNR, achieve the corresponding spectrum allocation resolution and also figure out the selected relays. Compared with conventional multi-relay selection scheme (CMS), simulation results demonstrate that our proposed scheme has a 4dB-increment of SNR value at the receiver.
{"title":"Combination of spectrum allocation and multi-relay selection in overlay cognitive radio network","authors":"Yanbo J. Wang, Caili Guo, Xuekang Sun, Chunyan Feng","doi":"10.1109/PIMRC.2015.7343260","DOIUrl":"https://doi.org/10.1109/PIMRC.2015.7343260","url":null,"abstract":"In overlay cognitive radio network, the available spectrum for secondary users are dynamically grabbed from a wideband of hundreds megahertz by spectrum sensing, which leads to remarkably differential path loss among different frequencies according to propagation theory. Adjusting the global path loss of cognitive relay system through spectrum allocation can serve nontrivial increment to the performance of multi-relay selection. In this paper, we propose a novel scheme combining multi-relay selection with spectrum allocation in the cognitive radio relay system to obtain maximum signal to noise ratio (SNR) at the receiver, called SAMS (spectrum allocation and multi-relay selection). Given the available frequencies, we first search all the possible resolutions for spectrum allocation, then make multi-relay selection under each possible spectrum allocation resolution to optimize the SNR value at the receiver. Finally, we choose the largest SNR, achieve the corresponding spectrum allocation resolution and also figure out the selected relays. Compared with conventional multi-relay selection scheme (CMS), simulation results demonstrate that our proposed scheme has a 4dB-increment of SNR value at the receiver.","PeriodicalId":274734,"journal":{"name":"2015 IEEE 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121585181","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 : 2015-12-03DOI: 10.1109/PIMRC.2015.7343271
Tzu-Chiao Lin, See-May Phoong
The estimation of carrier frequency offset (CFO) and in-phase and quadrature-phase (I/Q) imbalance is an important issue in the study of the orthogonal frequency division multiplexing (OFDM) systems. In our recent work [6], we have proposed a blind algorithm for the estimation of CFO in the absence of I/Q imbalance. In this paper, a blind algorithm is introduced for the estimation of I/Q parameter in the presence of CFO. The proposed method does not need to know the channel and CFO value. Moreover a closed form formula for the I/Q parameter is derived and thus the algorithm has low complexity. Simulation results show that the proposed method performs very well. Combining the proposed method and our method in [6], we can solve the joint estimation problem of I/Q and CFO.
{"title":"A low-cost blind estimation of I/Q imbalance in OFDM systems in the presence of CFO","authors":"Tzu-Chiao Lin, See-May Phoong","doi":"10.1109/PIMRC.2015.7343271","DOIUrl":"https://doi.org/10.1109/PIMRC.2015.7343271","url":null,"abstract":"The estimation of carrier frequency offset (CFO) and in-phase and quadrature-phase (I/Q) imbalance is an important issue in the study of the orthogonal frequency division multiplexing (OFDM) systems. In our recent work [6], we have proposed a blind algorithm for the estimation of CFO in the absence of I/Q imbalance. In this paper, a blind algorithm is introduced for the estimation of I/Q parameter in the presence of CFO. The proposed method does not need to know the channel and CFO value. Moreover a closed form formula for the I/Q parameter is derived and thus the algorithm has low complexity. Simulation results show that the proposed method performs very well. Combining the proposed method and our method in [6], we can solve the joint estimation problem of I/Q and CFO.","PeriodicalId":274734,"journal":{"name":"2015 IEEE 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121697438","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 : 2015-12-03DOI: 10.1109/PIMRC.2015.7343681
M. Condoluci, L. Militano, A. Orsino, J. Alonso-Zarate, G. Araniti
Current and future releases of 3GPP standards will include enhancements in LTE-Advanced for machine-type communications (MTC). The main reason for this new trend is the fact that 5G wireless systems will need to enable the coexistence between MTC and human-type communications (HTC). Therefore, novel solutions are needed to efficiently exploit the radio resources for MTC, considering, among others, the need to optimize transmissions for small data packets. With this aim, this paper addresses the use of short-range device-to-device (D2D) communications as enabling technology to efficiently manage the radio spectrum and to reduce the energy consumption of MTC devices. We consider a scenario where MTC devices are grouped in a cluster; among the cluster members, one terminal acts as aggregator in charge for (i) receiving data from neighboring terminals via D2D links and (ii) relaying the aggregated data to the base station via macro-cellular link. The main contribution of this paper is to compare the performances of the two most popular D2D technologies, i.e., WiFi-Direct and LTE-Direct, used to transmit data toward the aggregator. The performance evaluation in terms of latency and energy efficiency has been conducted in a wide set of scenarios by varying the number of clustered devices and the data to upload per single MTC device.
{"title":"LTE-direct vs. WiFi-direct for machine-type communications over LTE-A systems","authors":"M. Condoluci, L. Militano, A. Orsino, J. Alonso-Zarate, G. Araniti","doi":"10.1109/PIMRC.2015.7343681","DOIUrl":"https://doi.org/10.1109/PIMRC.2015.7343681","url":null,"abstract":"Current and future releases of 3GPP standards will include enhancements in LTE-Advanced for machine-type communications (MTC). The main reason for this new trend is the fact that 5G wireless systems will need to enable the coexistence between MTC and human-type communications (HTC). Therefore, novel solutions are needed to efficiently exploit the radio resources for MTC, considering, among others, the need to optimize transmissions for small data packets. With this aim, this paper addresses the use of short-range device-to-device (D2D) communications as enabling technology to efficiently manage the radio spectrum and to reduce the energy consumption of MTC devices. We consider a scenario where MTC devices are grouped in a cluster; among the cluster members, one terminal acts as aggregator in charge for (i) receiving data from neighboring terminals via D2D links and (ii) relaying the aggregated data to the base station via macro-cellular link. The main contribution of this paper is to compare the performances of the two most popular D2D technologies, i.e., WiFi-Direct and LTE-Direct, used to transmit data toward the aggregator. The performance evaluation in terms of latency and energy efficiency has been conducted in a wide set of scenarios by varying the number of clustered devices and the data to upload per single MTC device.","PeriodicalId":274734,"journal":{"name":"2015 IEEE 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121837774","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}
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