{"title":"On efficient admission control utilizing cloud compression in drive-thru vehicular networks","authors":"Xiaonan Su, Changle Li, T. Luan, Zhifang Miao","doi":"10.1109/ICCChina.2017.8330527","DOIUrl":"https://doi.org/10.1109/ICCChina.2017.8330527","url":null,"abstract":"Providing vehicles with various services is an challenging issue for roadside units to support applications in future Intelligent Transportation System (ITS). Since each vehicle has only a limited period of time passing through a roadside unit, how to guarantee service data to be downloaded in time has been brought to the front. In this paper, we focus on the admission control problem, which is especially significant in overloaded conditions where tens of vehicles may share the resource of one roadside unit. To enhance downloading efficiency, we employ vehicular cloud which is extremely promising in future ITS to compute downloading time and compress contents. We propose an admission control scheme that calculates and increases the probability of successful downloads in a drive-thru system, which also promotes users' quality of experience. In addition, we formulate the admission control issue as a linear programming problem, and utilize a branch-and-bound algorithm to solve it. Simulations demonstrate that our proposed scheme reduces tasks failure notably and outperforms two regular downloading schemes in terms of throughput.","PeriodicalId":418396,"journal":{"name":"2017 IEEE/CIC International Conference on Communications in China (ICCC)","volume":"144 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133491575","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}
Daimeng Chen, Fangfang Liu, Chunyan Feng, Jianbo Shi, Xiao Han
{"title":"Energy efficiency optimization based self-interference cancellation in massive MIMO full-duplex system","authors":"Daimeng Chen, Fangfang Liu, Chunyan Feng, Jianbo Shi, Xiao Han","doi":"10.1109/ICCChina.2017.8330513","DOIUrl":"https://doi.org/10.1109/ICCChina.2017.8330513","url":null,"abstract":"This paper focuses the problems of self-interference cancellation (SIC) in single cell massive MIMO full-duplex system. Based on the current research, some traditional SIC schemes are difficult to be applied in massive MIMO full-duplex system since these schemes require the instantaneous channel state information (CSI) of self-interference channel (CSI-SI) but the instantaneous CSI-SI is unable to obtain in massive MIMO. In addition, the other feasible SIC schemes without the instantaneous CSI-SI will reduce the system energy efficiency significantly. Therefore, we propose a energy efficiency optimization based SIC scheme (EE-SIC) without the instantaneous CSI-SI, which can eliminate SI effectively and improve system energy efficiency simultaneously by the energy efficiency optimization algorithm. The simulation result demonstrates that the proposed EE-SIC scheme is not only able to eliminate SI effectively for improving the sum achievable rate, but also improve the energy efficiency significantly compared with the self-interference cancellation scheme without energy efficiency optimization. Furthermore, it can make the uplink and downlink achievable rate both increase with the number of users uniformly.","PeriodicalId":418396,"journal":{"name":"2017 IEEE/CIC International Conference on Communications in China (ICCC)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115649399","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}
{"title":"A base station ON-OFF switch algorithm with grid-based traffic map in dense 5G network","authors":"Zongjian Tong, Fangmin Xu, Cheng-lin Zhao","doi":"10.1109/ICCChina.2017.8330464","DOIUrl":"https://doi.org/10.1109/ICCChina.2017.8330464","url":null,"abstract":"Next generation cellular networks, especially dense cell deployment, suffer from heavy energy waste during low-traffic periods. The major cause is that base stations are not able to adjust network configuration properly while traffic loads fluctuate temporally and spatially. In this paper, we propose a dense cell base station on-off switch algorithm with grid-based traffic map to improve the energy efficiency. First, a grid-based traffic map construction method is designed in dense cell circumstance with the assistant of Voronoi tessellation and natural neighbor interpolation. Then a low-complexity off-line algorithm that adjusts base station on-off according to different traffic loads is proposed. The simulation results verify the effectiveness of our algorithm.","PeriodicalId":418396,"journal":{"name":"2017 IEEE/CIC International Conference on Communications in China (ICCC)","volume":"218 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114853858","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}
{"title":"Wigner-ville distribution MVDR beamforming scheme for interference-tolerant cognitive radio network","authors":"Munyaradzi Munochiveyi, Xiaohui Zhao, J. Mudare","doi":"10.1109/ICCChina.2017.8330486","DOIUrl":"https://doi.org/10.1109/ICCChina.2017.8330486","url":null,"abstract":"Interference-tolerant cognitive radio (CR) networks are emerging as a long-term solution to CR spectrum-sharing between licensed primary users (PUs) and unlicensed secondary users (SUs). Moreover, the networks allow PUs and SUs to coexist in so far as the interference at PU receivers is below an acceptable threshold defined as interference temperature. In this paper, we consider the design of a robust nonstationary minimum-variance distortionless response (MVDR) beamformer. The beamformer is employed in a simple CR network, comprised of a fixed base station with multiple antennas and a mobile CR user (mCRU) with a single antenna, as an interference management technique. The beamformer which is located at the base station determines the direction-of-arrival (DOA) of uplink time-reversal communication from the mCRU to the base station. The performance of the proposed robust nonstationary MVDR beamformer is demonstrated via simulation studies.","PeriodicalId":418396,"journal":{"name":"2017 IEEE/CIC International Conference on Communications in China (ICCC)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122102484","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}
{"title":"Intuitionistic fuzzy handover mechanism for heterogeneous vehicular networks","authors":"Xuanyu Chen, Cailian Chen, Jianping He, X. Guan","doi":"10.1109/ICCChina.2017.8330492","DOIUrl":"https://doi.org/10.1109/ICCChina.2017.8330492","url":null,"abstract":"With the rapid development of Internet of Vehicles, cellular network and vehicular dedicated network will coexist to form heterogeneous networks. Varies applications for vehicles will generate huge volume of data. Under this foreseeable circumstance, handover mechanism is crucial to guaranteeing the quality of service (QoS) of vehicles. Due to the vehicles' high-dynamic feature, the attributes needed for handover decision making are time-varying, thus the handover methods based on network snapshot in existing works are not applicable anymore. It requires more insights on network and vehicle dynamics for practical handover decision making. To solve this problem in this paper, we propose an intuitionistic fuzzy handover mechanism for heterogeneous vehicular networks. Especially, we design an intuitionistic fuzzy based algorithm for network selection in the handover mechanism which is suit for time interval decision making. Under the IEEE 802.21 media independent handover framework, we design an efficient information exchange mechanism to make the network end information available for vehicles. Simulations results demonstrate the proposed mechanism outperforms existing mechanisms with less number of handover times and better QoS.","PeriodicalId":418396,"journal":{"name":"2017 IEEE/CIC International Conference on Communications in China (ICCC)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117185735","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}
Songhua Wang, Hailiang Xiong, Juan Tang, Yong Huang, Junyu Shi
{"title":"Compensated correlation reconstructed technique for unambiguous acquisition of binary offset carrier signals","authors":"Songhua Wang, Hailiang Xiong, Juan Tang, Yong Huang, Junyu Shi","doi":"10.1109/ICCChina.2017.8330334","DOIUrl":"https://doi.org/10.1109/ICCChina.2017.8330334","url":null,"abstract":"With the development of the new generation global navigation satellite system (GNSS), Chinese compass navigation systems also utilize binary offset carrier (BOC) modulation to improve the inter-operability of satellite navigation systems. The main shortcoming of BOC modulation is ambiguous in search of a multi-peaked auto-correlation function (ACF). In this paper, an improved unambiguous acquisition algorithm based on compensated correlation reconstructed technique (CCRT) is proposed for the arbitrary-order BOC, which is a new modulation technique for the next generation satellite navigation and positioning systems. The key technique used in this paper is to generate local reference signals with different shape vectors. By recombining of the piecewise correlation functions of the step-shape coded symbol (SCS), a reconstructed correlation function (RCF) that has only one peak is obtained, and the energy loss is compensated by the ACF. In the proposed algorithm, different shape vectors are employed for different BOC modulation signals. The simulation results demonstrate that the ambiguity problem is completely eliminated in the proposed algorithm. Compared with traditional acquisition methods, the proposed algorithm has an outstanding detection performance. Moreover, the CCRT can be utilized for arbitrary order BOC modulation signals.","PeriodicalId":418396,"journal":{"name":"2017 IEEE/CIC International Conference on Communications in China (ICCC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129541165","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}
{"title":"A queuing based available bandwidth estimation algorithm for a space bundle link","authors":"Xiaoli Liao, Zhihua Yang, Yue Li","doi":"10.1109/ICCChina.2017.8330412","DOIUrl":"https://doi.org/10.1109/ICCChina.2017.8330412","url":null,"abstract":"In a space Disruption-Tolerant Network (DTN), estimating available bandwidth is difficult due to high dynamics in the bundle link, such as obviously changing propagation time and restrained forwarding capability. In this paper, we present a queuing theoretic algorithm for single-hop available bandwidth estimation over a space bundle link. In the proposed algorithm, we estimate the available bandwidth by predicting the network traffic according to the statistics of bundle delivery delay, which is obtained theoretically by using a well-designed M/D/1 queuing model. Moreover, we provide a specific bundle format for implementing the proposed algorithm into a DTN stack. The simulation results show that the proposed algorithm can effectively estimate the available bandwidth of the space dynamic link.","PeriodicalId":418396,"journal":{"name":"2017 IEEE/CIC International Conference on Communications in China (ICCC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129735193","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}
Zhenxiang Su, B. Ai, Danping He, Guoyu Ma, K. Guan, Ning Wang, Dongying Zhang
{"title":"User association and backhaul bandwidth allocation for 5G heterogeneous networks in the millimeter-wave band","authors":"Zhenxiang Su, B. Ai, Danping He, Guoyu Ma, K. Guan, Ning Wang, Dongying Zhang","doi":"10.1109/ICCChina.2017.8330352","DOIUrl":"https://doi.org/10.1109/ICCChina.2017.8330352","url":null,"abstract":"User association and wireless backhaul allocation in a two-tier heterogeneous network (HetNet) operating in the millimeter wave (mmWave) band is investigated. The macro cell tier base station (BS) is assumed to be equipped with large-scale antenna arrays, while the small cell BSs only have single-antenna capability and they rely on the wireless link to the macro BS for backhaul. To balance the throughput and the fairness, the sum of logarithmic user rate is chosen as the network utility for the optimization problem. A distributed algorithm based on hierarchical primal and dual decomposition is proposed. Firstly, the primal decomposition transforms the original problem into two sub-problems, the wireless backhaul bandwidth allocation subproblem and the user association subproblem. Secondly, biasing on the received signal-to-interference-plus-noise ratio (SINR) is introduced to the small cell tier to achieve traffic offloading. Finally, the optimal solution X∗ for the user association subproblem can be obtained from the Lagrange dual function through the dual decomposition when the Karush-Kuhn-Tucker condition or the Slater's condition holds. While achieving the same optimal performance, the proposed distributed algorithm converges much faster than the exhaustive search method. Simulation results reveal that the system throughput is improved as we increase the large-scale antenna array size and the number of users. The impact of changing the number of small cell BSs is insignificant. In addition, the system throughput achieved by the distributed algorithm outperforms that of the conventional maximum SINR based user association strategy.","PeriodicalId":418396,"journal":{"name":"2017 IEEE/CIC International Conference on Communications in China (ICCC)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127185641","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}
Shaobo Lv, Xianxian Wang, Xuehan Meng, Zhongshan Zhang, Keping Long
{"title":"Energy-efficient joint power control and resource allocation for D2D-aided heterogeneous networks","authors":"Shaobo Lv, Xianxian Wang, Xuehan Meng, Zhongshan Zhang, Keping Long","doi":"10.1109/ICCChina.2017.8330420","DOIUrl":"https://doi.org/10.1109/ICCChina.2017.8330420","url":null,"abstract":"In this paper, we propose a priority based joint power control and resource allocation algorithm for enhancing the energy efficiency (EE) of device-to-device (D2D) links through enabling the successive interference cancellation (SIC) capabilities at the base stations (BSs). In the power control functional module, the EE-maximization model corresponding to each individual D2D link can be transformed into its equivalent model, in which the objective function is demonstrated to be a concave function of the transmitting power of D2D transmitter and can thus be optimized by implementing joint Bisection and Dinkelbach iterative solution. Inspired by the thought of greedy algorithm, in the radio resource allocation functional module, we propose a priority based resource allocation approach for further reducing the computational complexity of our algorithm. Numerical results show that the proposed approach can substantially improve the EE of the D2D links with rapid converge speed.","PeriodicalId":418396,"journal":{"name":"2017 IEEE/CIC International Conference on Communications in China (ICCC)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127484744","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}
{"title":"Participant reputation aware data collecting mechanism for mobile crowd sensing","authors":"J. Yang, Pengcheng Li, Honggang Wang","doi":"10.1109/ICCChina.2017.8330348","DOIUrl":"https://doi.org/10.1109/ICCChina.2017.8330348","url":null,"abstract":"The malicious behaviors of participants can reduce the reliability significantly in data collecting process of Mobile Crowd Sensing. To solve this problem, a participant reputation aware data collecting mechanism is proposed, which analyzes reputation state, quantifies historical reputation of participants according to willingness and data quality, and then updates the reputation of participants by logistic regression function. Furthermore, the server can accurately choose participant and efficiently collect sensing data in multitasking scenario. Simulation results show that the proposed mechanism can significantly improve the quality of sensing data with excellent real-time performance and reduce overhead.","PeriodicalId":418396,"journal":{"name":"2017 IEEE/CIC International Conference on Communications in China (ICCC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132896873","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}