Pub Date : 2018-10-01DOI: 10.1109/WCSP.2018.8555674
Yucheng Liao, Zhaojie Sun, L. Dan, Yue Xiao
Energy borrowing (EB) technique has been proposed recently to improve the performance of wireless communications, which also decreases the burden of the smart grid (SG). To further reduce the burden of SG, we propose an energy depositing (ED) strategy. Specifically, the energy harvesting (EH) device can deposit its unused energy in the SG for decreasing the burden of SG, and it also can extract the deposited energy with additional amount of energy as incentive. An EB-and-ED structure is also proposed to promote a more energy-efficient wireless system. This paper focuses on the ED process, a joint optimization of both ED policy and power scheduling for maximizing the system throughput has been formulated. The simulation results using real solar irradiance data confirm the effectiveness of the proposed ED strategy.
{"title":"Energy Depositing for Energy Harvesting Wireless Communications","authors":"Yucheng Liao, Zhaojie Sun, L. Dan, Yue Xiao","doi":"10.1109/WCSP.2018.8555674","DOIUrl":"https://doi.org/10.1109/WCSP.2018.8555674","url":null,"abstract":"Energy borrowing (EB) technique has been proposed recently to improve the performance of wireless communications, which also decreases the burden of the smart grid (SG). To further reduce the burden of SG, we propose an energy depositing (ED) strategy. Specifically, the energy harvesting (EH) device can deposit its unused energy in the SG for decreasing the burden of SG, and it also can extract the deposited energy with additional amount of energy as incentive. An EB-and-ED structure is also proposed to promote a more energy-efficient wireless system. This paper focuses on the ED process, a joint optimization of both ED policy and power scheduling for maximizing the system throughput has been formulated. The simulation results using real solar irradiance data confirm the effectiveness of the proposed ED strategy.","PeriodicalId":423073,"journal":{"name":"2018 10th International Conference on Wireless Communications and Signal Processing (WCSP)","volume":"49 7","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113942069","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 : 2018-10-01DOI: 10.1109/WCSP.2018.8555588
Hong Chen, Dongmei Zhao, Qianbin Chen, Rong Chai
Mobile computation offloading (MCO) is an emerging technology to migrate resource-intensive computations from resource-limited mobile devices to resource-rich devices (such as a cloud server) via wireless access. For applications that are time sensitive, offloading to nearby cloudlets is preferred, compared to offloading to a remote cloud server, in order to save the data transmission delay. On the other hand, the limited computing capabilities and the wireless transmission conditions to access the cloudlet servers can both affect the offloading performance, especially when multiple users are competing for offloading services. In this paper, we study joint computation offloading and radio resource allocations in small cell cellular systems, where cloudlet servers are colocated at the base stations. Our objective is to minimize the total energy consumption of the system, for both data transmissions and task executions, subject to the hard latency requirements of the applications. The problem is first formulated as a mixed integer nonlinear optimization problem, and then decomposed into multiple power allocation subproblems and an offloading decision subproblem. The power allocation subproblems are non-convex, which are reformulated and solved iteratively. Their results are fed into the offloading decision subproblem, which then becomes a linear integer (bi- nary) problem, and can be converted into a matching problem and solved using a modified Kuhn-Munkres (K-M) algorithm. Simulation results demonstrate that the joint optimization can significantly improve the offloading efficiency, compared to other resource allocation methods.
{"title":"Joint Computation Offloading and Radio Resource Allocations in Wireless Cellular Networks","authors":"Hong Chen, Dongmei Zhao, Qianbin Chen, Rong Chai","doi":"10.1109/WCSP.2018.8555588","DOIUrl":"https://doi.org/10.1109/WCSP.2018.8555588","url":null,"abstract":"Mobile computation offloading (MCO) is an emerging technology to migrate resource-intensive computations from resource-limited mobile devices to resource-rich devices (such as a cloud server) via wireless access. For applications that are time sensitive, offloading to nearby cloudlets is preferred, compared to offloading to a remote cloud server, in order to save the data transmission delay. On the other hand, the limited computing capabilities and the wireless transmission conditions to access the cloudlet servers can both affect the offloading performance, especially when multiple users are competing for offloading services. In this paper, we study joint computation offloading and radio resource allocations in small cell cellular systems, where cloudlet servers are colocated at the base stations. Our objective is to minimize the total energy consumption of the system, for both data transmissions and task executions, subject to the hard latency requirements of the applications. The problem is first formulated as a mixed integer nonlinear optimization problem, and then decomposed into multiple power allocation subproblems and an offloading decision subproblem. The power allocation subproblems are non-convex, which are reformulated and solved iteratively. Their results are fed into the offloading decision subproblem, which then becomes a linear integer (bi- nary) problem, and can be converted into a matching problem and solved using a modified Kuhn-Munkres (K-M) algorithm. Simulation results demonstrate that the joint optimization can significantly improve the offloading efficiency, compared to other resource allocation methods.","PeriodicalId":423073,"journal":{"name":"2018 10th International Conference on Wireless Communications and Signal Processing (WCSP)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134167904","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}
The densification of wireless networks via small cells is an effective way to improve spectral efficiency but, on the other hand, also causes an increase of power consumption. In this paper, we consider the energy efficient beamforming design for a heterogeneous small cell network, where a number of multi-antenna small base stations (SBSs) share the spectrum resource of a macro base station (MBS). The design goal is to improve the energy efficiency of the whole network and meanwhile provide quality-of-service (QoS) protection for macro cell communications, which generally have higher priorities. We propose a novel efficient method to address the formulated non-convex energy efficient beamforming design problem. Simulation results show that the proposed beamforming design can dramatically enhance the energy efficiency of the whole network.
{"title":"Energy Efficient Beamforming in Heterogeneous Small Cell Networks","authors":"Zeli Lao, Zhaohua Lu, Jiaheng Wang, Yongming Huang, Leixin Han, Fusheng Zhu, Licheng Zhao","doi":"10.1109/WCSP.2018.8555702","DOIUrl":"https://doi.org/10.1109/WCSP.2018.8555702","url":null,"abstract":"The densification of wireless networks via small cells is an effective way to improve spectral efficiency but, on the other hand, also causes an increase of power consumption. In this paper, we consider the energy efficient beamforming design for a heterogeneous small cell network, where a number of multi-antenna small base stations (SBSs) share the spectrum resource of a macro base station (MBS). The design goal is to improve the energy efficiency of the whole network and meanwhile provide quality-of-service (QoS) protection for macro cell communications, which generally have higher priorities. We propose a novel efficient method to address the formulated non-convex energy efficient beamforming design problem. Simulation results show that the proposed beamforming design can dramatically enhance the energy efficiency of the whole network.","PeriodicalId":423073,"journal":{"name":"2018 10th International Conference on Wireless Communications and Signal Processing (WCSP)","volume":"332 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134429163","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 : 2018-10-01DOI: 10.1109/WCSP.2018.8555628
Yan Zhao, Yue Xiao, Ping Yang, Binhong Dong, Xia Lei, W. Xiang
In this paper, a low-complexity vector-by-vector (VV) based minimum mean square error (MMSE) detector is proposed in the presence of carrier frequency offset (CFO) in spatial modulation orthogonal frequency division multiplexing (SM-OFDM) systems. Its main benefit lies in that the CFO matrix in the proposed detector is considered as a component of the channel transfer matrix. Furthermore, the SM symbol is treated as an entire vector when performing soft interference cancellation (SIC) in the proposed MMSE detector. Finally, the structure of the CFO matrix is exploited in order to strike a flexible trade-off between complexity and performance. Simulation results demonstrate that the proposed detector can provide considerable performance improvement compared to conventional detectors at a moderate complexity cost in both uncoded and coded SM systems.
{"title":"MMSE-based Detector for Spatial Modulation OFDM Systems with Multiple CFOs","authors":"Yan Zhao, Yue Xiao, Ping Yang, Binhong Dong, Xia Lei, W. Xiang","doi":"10.1109/WCSP.2018.8555628","DOIUrl":"https://doi.org/10.1109/WCSP.2018.8555628","url":null,"abstract":"In this paper, a low-complexity vector-by-vector (VV) based minimum mean square error (MMSE) detector is proposed in the presence of carrier frequency offset (CFO) in spatial modulation orthogonal frequency division multiplexing (SM-OFDM) systems. Its main benefit lies in that the CFO matrix in the proposed detector is considered as a component of the channel transfer matrix. Furthermore, the SM symbol is treated as an entire vector when performing soft interference cancellation (SIC) in the proposed MMSE detector. Finally, the structure of the CFO matrix is exploited in order to strike a flexible trade-off between complexity and performance. Simulation results demonstrate that the proposed detector can provide considerable performance improvement compared to conventional detectors at a moderate complexity cost in both uncoded and coded SM systems.","PeriodicalId":423073,"journal":{"name":"2018 10th International Conference on Wireless Communications and Signal Processing (WCSP)","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131494950","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 : 2018-10-01DOI: 10.1109/WCSP.2018.8555572
Xiaodong Xu, K. Dong, Junyu Yao, Jiaxi Zhou
Global navigation satellite system (GNSS) receivers are vulnerable to hostile interference threads, such as jamming and spoofing. A novel low-complexity scheme based on multistage wiener filter(MWF) based space-time adaptive processing (STAP) is proposed to suppress hybrid interference by using the cross spectral self-coherence property. An orthogonal complement space of spoofing signals is estimated to constructed auxiliary weight vector. Simultaneously, spoofing number is also estimated with minimum description length (MDL) criterion and spatial spectrum. The primary weight vector is built based on the relationship between both channels derived with minimum mean square error (MMSE) criterion. Analytical results and some numerical examples are presented to demonstrate the effectiveness of the proposed scheme in terms of beam pattern and the output signal-to-interference-plus-noise ratio (SINR).
{"title":"A Low-Complexity Hybrid Interference Suppression Scheme Using Spectral Self-Coherence Property For GNSS Receivers","authors":"Xiaodong Xu, K. Dong, Junyu Yao, Jiaxi Zhou","doi":"10.1109/WCSP.2018.8555572","DOIUrl":"https://doi.org/10.1109/WCSP.2018.8555572","url":null,"abstract":"Global navigation satellite system (GNSS) receivers are vulnerable to hostile interference threads, such as jamming and spoofing. A novel low-complexity scheme based on multistage wiener filter(MWF) based space-time adaptive processing (STAP) is proposed to suppress hybrid interference by using the cross spectral self-coherence property. An orthogonal complement space of spoofing signals is estimated to constructed auxiliary weight vector. Simultaneously, spoofing number is also estimated with minimum description length (MDL) criterion and spatial spectrum. The primary weight vector is built based on the relationship between both channels derived with minimum mean square error (MMSE) criterion. Analytical results and some numerical examples are presented to demonstrate the effectiveness of the proposed scheme in terms of beam pattern and the output signal-to-interference-plus-noise ratio (SINR).","PeriodicalId":423073,"journal":{"name":"2018 10th International Conference on Wireless Communications and Signal Processing (WCSP)","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132221824","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 : 2018-10-01DOI: 10.1109/WCSP.2018.8555621
Zhenyuan Wang, Jianjun Wei, Xiaohui Li, Zelin Liu, F. Su
This paper proposes a new fetal monitoring system, including the acquisition and the processing of fetal heart sounds (FHS). Based on the foundation of the stethoscope principle, a single-channel, non-invasive sensor is designed to acquire the fetal heart sounds, in which polyvinylidene fluoride (PVDF) membrane material is used as the core transducer. In the fetal heart sounds processing part, we propose a new method for denoising based on adaptive support vector regression (SVR) which has a good performance on curve fitting and effectively weakens the interference of additive noise. Thus, the clean fetal heart signals extracted from the interfered source can be further utilized to draw the fetal phonocardiogram (FPCG) and calculate the fetal heart rate (FHR).
{"title":"Adaptive SVR Denoising Algorithm for Fetal Monitoring System","authors":"Zhenyuan Wang, Jianjun Wei, Xiaohui Li, Zelin Liu, F. Su","doi":"10.1109/WCSP.2018.8555621","DOIUrl":"https://doi.org/10.1109/WCSP.2018.8555621","url":null,"abstract":"This paper proposes a new fetal monitoring system, including the acquisition and the processing of fetal heart sounds (FHS). Based on the foundation of the stethoscope principle, a single-channel, non-invasive sensor is designed to acquire the fetal heart sounds, in which polyvinylidene fluoride (PVDF) membrane material is used as the core transducer. In the fetal heart sounds processing part, we propose a new method for denoising based on adaptive support vector regression (SVR) which has a good performance on curve fitting and effectively weakens the interference of additive noise. Thus, the clean fetal heart signals extracted from the interfered source can be further utilized to draw the fetal phonocardiogram (FPCG) and calculate the fetal heart rate (FHR).","PeriodicalId":423073,"journal":{"name":"2018 10th International Conference on Wireless Communications and Signal Processing (WCSP)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132620602","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 : 2018-10-01DOI: 10.1109/WCSP.2018.8555566
Ran Zhang, Hamid Saber, Yiqun Ge, Wuxian Shi
The paper studies rate matching for polar codes with Reed-Solomon (RS) kernels. A low-complexity rate matching scheme, referred to as smallest index puncturing, is put forward with validity proof. To resolve the dramatically increased complexity of reliability sequence generation due to rate matching, a piecewise sequence adaptation method is designed. The method significantly cuts down the computation complexity while keeping a negligible performance loss. Simulation results demonstrate the performance gain of the 4-dimension RS kernel over the original binary 2-by-2 kernel under rate matching, and verify the efficacy of the proposed piecewise method.
{"title":"Rate Matching and Piecewise Sequence Adaptation for Polar Codes with Reed-Solomon Kernels","authors":"Ran Zhang, Hamid Saber, Yiqun Ge, Wuxian Shi","doi":"10.1109/WCSP.2018.8555566","DOIUrl":"https://doi.org/10.1109/WCSP.2018.8555566","url":null,"abstract":"The paper studies rate matching for polar codes with Reed-Solomon (RS) kernels. A low-complexity rate matching scheme, referred to as smallest index puncturing, is put forward with validity proof. To resolve the dramatically increased complexity of reliability sequence generation due to rate matching, a piecewise sequence adaptation method is designed. The method significantly cuts down the computation complexity while keeping a negligible performance loss. Simulation results demonstrate the performance gain of the 4-dimension RS kernel over the original binary 2-by-2 kernel under rate matching, and verify the efficacy of the proposed piecewise method.","PeriodicalId":423073,"journal":{"name":"2018 10th International Conference on Wireless Communications and Signal Processing (WCSP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114094253","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 : 2018-10-01DOI: 10.1109/WCSP.2018.8555570
S. Pandav, P. Ubaidulla
Two dimensional (2-D) direction of arrival (DOA) estimation is a fundamental problem in array signal processing with wide range of applications. In this paper, an approach to 2-D DOA estimation with a modified parallel coprime linear subarrays using MUSIC algorithm and least squares is proposed. A virtual difference co-array is synthesized by vectorizing the crosscovariance matrix of sub-array data. In the proposed method, the 2-D DOA estimation problem is decomposed as two one dimensional (1-D) DOA estimation problems in which azimuth and elevation DOAs are estimated and automatically paired using MUSIC and Least Squares (LS). Simulation results are presented to verify the performance of the proposed method and the improvements resulting from the proposed array geometry.
{"title":"Two-Dimensional DOA Estimation with Modified Parallel Coprime Linear Sub-Arrays","authors":"S. Pandav, P. Ubaidulla","doi":"10.1109/WCSP.2018.8555570","DOIUrl":"https://doi.org/10.1109/WCSP.2018.8555570","url":null,"abstract":"Two dimensional (2-D) direction of arrival (DOA) estimation is a fundamental problem in array signal processing with wide range of applications. In this paper, an approach to 2-D DOA estimation with a modified parallel coprime linear subarrays using MUSIC algorithm and least squares is proposed. A virtual difference co-array is synthesized by vectorizing the crosscovariance matrix of sub-array data. In the proposed method, the 2-D DOA estimation problem is decomposed as two one dimensional (1-D) DOA estimation problems in which azimuth and elevation DOAs are estimated and automatically paired using MUSIC and Least Squares (LS). Simulation results are presented to verify the performance of the proposed method and the improvements resulting from the proposed array geometry.","PeriodicalId":423073,"journal":{"name":"2018 10th International Conference on Wireless Communications and Signal Processing (WCSP)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121604138","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 : 2018-10-01DOI: 10.1109/WCSP.2018.8555916
Zhengming Zhang, Yaru Zheng, Chunguo Li, Yongming Huang, Luxi Yang
Caching and rate allocation are two promising approaches to support video streaming over wireless networks. However, existing rate allocation designs do not fully exploit the advantages of the two approaches. This paper investigates the problem of cache-enabled video rate allocation. We establish a mathematical model for this problem, and point out that it is difficult to solve it with traditional dynamic programming. Then we propose a deep reinforcement learning approach to solve it. Firstly, we model the problem as a Markov decision problem. Then we present a deep Q-learning algorithm with a special knowledge transfer process to find out an effective allocation policy. Finally, numerical results are given to demonstrate that the proposed solution can effectively maintain high-quality of service. We also investigate the impact of critical parameters on the performance of our algorithm.
{"title":"Cache-Enabled Adaptive Bit Rate Streaming via Deep Self-Transfer Reinforcement Learning","authors":"Zhengming Zhang, Yaru Zheng, Chunguo Li, Yongming Huang, Luxi Yang","doi":"10.1109/WCSP.2018.8555916","DOIUrl":"https://doi.org/10.1109/WCSP.2018.8555916","url":null,"abstract":"Caching and rate allocation are two promising approaches to support video streaming over wireless networks. However, existing rate allocation designs do not fully exploit the advantages of the two approaches. This paper investigates the problem of cache-enabled video rate allocation. We establish a mathematical model for this problem, and point out that it is difficult to solve it with traditional dynamic programming. Then we propose a deep reinforcement learning approach to solve it. Firstly, we model the problem as a Markov decision problem. Then we present a deep Q-learning algorithm with a special knowledge transfer process to find out an effective allocation policy. Finally, numerical results are given to demonstrate that the proposed solution can effectively maintain high-quality of service. We also investigate the impact of critical parameters on the performance of our algorithm.","PeriodicalId":423073,"journal":{"name":"2018 10th International Conference on Wireless Communications and Signal Processing (WCSP)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116469603","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 : 2018-10-01DOI: 10.1109/WCSP.2018.8555632
Nan Lu, Hongfeng Qin, Changyin Sun, Fan Jiang
In the ultra-dense network scenario, a joint power allocation scheme is proposed to maximize the sum rate of user-centric overlapped virtual cell systems. The optimal power allocation is firstly modeled with hierarchical framework and decomposed into two subproblems: power splitting and virtual power allocation, then it is solved by the alternating iteration between the two subproblems. The power splitting is obtained by an SLNR (signal to leakage plus noise ratio)-based algorithm with the introducing of Lagrangian function, and virtual power allocation is achieved by a binary iterative water-filling algorithm. As the power splitting coefficient takes the form of eigenvector which maximizes SLNR, a balanced effect on signal enhancement and interference reduction is achieved. Simulation results show that the proposed algorithm is superior to conventional power allocation algorithms in performance, as it effectively reduces interference and increases the sum rate of the system.
{"title":"Power Splitting and Virtual Power Allocation for Virtual Cell in Ultra-Dense Networks","authors":"Nan Lu, Hongfeng Qin, Changyin Sun, Fan Jiang","doi":"10.1109/WCSP.2018.8555632","DOIUrl":"https://doi.org/10.1109/WCSP.2018.8555632","url":null,"abstract":"In the ultra-dense network scenario, a joint power allocation scheme is proposed to maximize the sum rate of user-centric overlapped virtual cell systems. The optimal power allocation is firstly modeled with hierarchical framework and decomposed into two subproblems: power splitting and virtual power allocation, then it is solved by the alternating iteration between the two subproblems. The power splitting is obtained by an SLNR (signal to leakage plus noise ratio)-based algorithm with the introducing of Lagrangian function, and virtual power allocation is achieved by a binary iterative water-filling algorithm. As the power splitting coefficient takes the form of eigenvector which maximizes SLNR, a balanced effect on signal enhancement and interference reduction is achieved. Simulation results show that the proposed algorithm is superior to conventional power allocation algorithms in performance, as it effectively reduces interference and increases the sum rate of the system.","PeriodicalId":423073,"journal":{"name":"2018 10th International Conference on Wireless Communications and Signal Processing (WCSP)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115212266","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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