{"title":"Spatio-temporal Correlated Channel Feedback for Massive MIMO Systems","authors":"Yao Ge, Zhimin Zeng, Tiankui Zhang, Yuanwei Liu","doi":"10.1109/ICCChinaW.2018.8674514","DOIUrl":"https://doi.org/10.1109/ICCChinaW.2018.8674514","url":null,"abstract":"Accurate channel state information (CSI) at base station (BS) is the key to achieve full multiplexing and diversity gain in traditional multiple-input multiple-output (MIMO) systems. In frequency-division-duplex (FDD) systems, it is obtained through downlink training and uplink feedback. However, the training and feedback overhead in massive MIMO systems is unacceptable for the large number of antennas equipped at BS. To reduce the CSI feedback overhead and improve CSI quantization accuracy, we propose a limited feedback scheme for spatio-temporal correlated massive MIMO channel. The proposed scheme jointly performs Karhunen-Loève transform (KLT) and polar-cap quantization on CSI. For the compactly deployed antennas at BS, there exists spatial correlation in massive MIMO channel. When the user equipment (UE) moves slowly, adjacent channels feature temporal correlation. The high dimensional and spatial correlated CSI is compressed through KLT. Then the compressed CSI is normalized to be isotropic to perform polar-cap quantization. Simulation results show that the proposed scheme is capable of improving the sum-rate performance with limited feedback bits for massive MIMO systems.","PeriodicalId":201746,"journal":{"name":"2018 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"167 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114873578","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":"Adaptive Vehicle Cooperative Positioning System With Uncertain GPS Visibility and Neural Network-based Improved Approach","authors":"S. Liu, Dazhi He, Yin Xu, Chao Zhang, Suibin Sun, Dongyu Ru","doi":"10.1109/ICCChinaW.2018.8674499","DOIUrl":"https://doi.org/10.1109/ICCChinaW.2018.8674499","url":null,"abstract":"Position accuracy is a key factor to fulfill the requirements of several safety applications of vehicle networking, which will be a prospective application scenario for the Fifth Generation (5G) mobile communication system. In this paper, we present a cooperative localization system, implementing the data fusion of the observation from Received Signal Strength (RSS), Carrier Frequency Offset (CFO) and Global Positioning System (GPS) to enhance the tolerance against the situation of limited GPS visibility. A neural network-based algorithm is also introduced to optimize the accuracy of the cooperative localization system. Results of experiments and simulations demonstrate the improvement on the position stability and accuracy of the integrated system.","PeriodicalId":201746,"journal":{"name":"2018 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127544145","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":"Performance Evaluation of Double-edge Satellite Terrestrial Networks on OPNET Platform","authors":"Peng Wang, Jiaxin Zhang, Xing Zhang, Liangjingrong Liu, Yuanjun Wang, Le Ouyang","doi":"10.1109/ICCChinaW.2018.8674526","DOIUrl":"https://doi.org/10.1109/ICCChinaW.2018.8674526","url":null,"abstract":"With the rapid development of wireless networks, the growing number of mobile applications result in massive computation task to be processed. Satellite communication system, with the merits of wide coverage and flexible multiple-link capability, breaks the limitations of terrestrial network and delivers resilient as well as high-speed connectivity across the globe. In the traditional integrated satellite terrestrial network architecture, time and frequency resource allocation is usually not adapt to customized services. To solve the problem, in this paper we propose a double-edge satellite terrestrial network architecture and a more flexible slot resource allocation scheme based on service priority to improve the resource allocation efficiency and decrease service time delay. Performance of the proposed scheme is evaluated on the OPNET platform. Simulation results show that the proposed time slot allocation scheme in the double-edge satellite terrestrial outperforms the traditional one.","PeriodicalId":201746,"journal":{"name":"2018 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"335 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125794837","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}
Kai Zhang, Jin Xu, Changchuan Yin, Weiqiang Tan, Chunguo Li
{"title":"A Sparse Superposition Multiple Access Scheme and Performance Analysis for 5G Wireless Communication Systems","authors":"Kai Zhang, Jin Xu, Changchuan Yin, Weiqiang Tan, Chunguo Li","doi":"10.1109/ICCChinaW.2018.8674516","DOIUrl":"https://doi.org/10.1109/ICCChinaW.2018.8674516","url":null,"abstract":"Orthogonal multiple access (OMA) is widely employed in traditional cellular wireless communication systems due to a low-complexity receiver is needed. However, multiple access scheme with higher spectral efficiency and the capability of access more users than OMA scheme is preferred for the future wireless communication systems. In this work, we propose a non-orthogonal multiple access scheme called sparse superposition multiple access (SSMA) by superposing more users to a limited number of time-frequency resource for the uplink transmission in the fifth generation (5G) wireless communication systems. Moreover, we design two sparse superposition matrices (SSMs) for 150% and 200% overloaded SSMA scheme. Then, a low complexity belief propagation detection and decoding algorithm based multiple user detection is proposed. Furthermore, we utilize extrinsic information transfer chart to analyze the superiority of the proposed SSMs theoretically and the numerical results show that the proposed SSM with an overload of 150% has a gain of about 1 dB compared to the existing scheme. Finally, simulation results demonstrate that the proposed scheme outperforms the traditional OMA scheme and the existing scheme significantly.","PeriodicalId":201746,"journal":{"name":"2018 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126144149","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 Connectivity-Aware Caching Algorithm for Vehicular Content Centric Networks with Cache-Enabled Vehicles","authors":"Sangsha Fang, Hongning Mao","doi":"10.1109/ICCChinaW.2018.8674477","DOIUrl":"https://doi.org/10.1109/ICCChinaW.2018.8674477","url":null,"abstract":"Recently, cache-enabled vehicles have been introduced to improve the efficiency of content delivery in vehicular content centric networks (VCCNs). Content requests can be satisfied by vehicular caches without causing backhaul cost. However, it takes caching cost to store contents in participating vehicles. Moreover, the vehicle-to-vehicle (V2V) content delivery highly depends on the inter-vehicle connectivity. In this paper, a connectivity-aware content caching algorithm is proposed to help cache-enabled vehicles manage theirs caches. According to the content popularity distribution, connectivity, and current caching status, cache-enabled vehicles store some chunks of contents to maximize the total caching utility. Simulation results prove that the proposed connectivity-aware caching algorithm is superior to the existing AlwaysCaching algorithm and probabilistic caching (ProCaching) algorithm in the total caching utility.","PeriodicalId":201746,"journal":{"name":"2018 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121939774","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 Novel PAPR Reduction Algorithm Based on SLM Technique in UFMC Systems","authors":"Yu Zhang, Kaiming Liu, Yuan’an Liu","doi":"10.1109/ICCChinaW.2018.8674491","DOIUrl":"https://doi.org/10.1109/ICCChinaW.2018.8674491","url":null,"abstract":"The universal filtered multi-carrier (UFMC) has been taken as a promising candidate for the upcoming 5G wireless communication thanks to the improved spectral occupation and resistance to the carrier frequency offset (CFO). However, all the multicarrier systems have a high peak-to-average power ratio (PAPR), so does UFMC. High PAPR value will bring huge challenge for the demodulation and hardware design in system receiver, so it is necessary to suppress PAPR in UFMC systems. Selected mapping (SLM) technique can reduce PAPR without signal distortion. In this paper, a novel PAPR suppress technique using SLM based on Improve Genetic Algorithm (IGASLM) is proposed. Simulation results show that the proposed algorithm can significantly reduce PAPR in UFMC systems and the PAPR performs better than other methods such as traditional Genetic algorithm, DFT-Precoding method and the PTS method. Meanwhile it has no effect on the performance of bit error rate (BER) or power spectral density (PSD).","PeriodicalId":201746,"journal":{"name":"2018 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"167 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122785587","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":"3D UAV Placement and Resource Allocation in Software Defined Cellular Networks","authors":"Chunyu Pan, Changchuan Yin, Jian Yu, Kiran Nahida","doi":"10.1109/ICCChinaW.2018.8674492","DOIUrl":"https://doi.org/10.1109/ICCChinaW.2018.8674492","url":null,"abstract":"A promising solution to satisfying the demand for flexible and elastic networks in an unexpected or temporary event is to constitute drone-cells, which are formed by quick deployment of unmanned aerial vehicles (UAVs). The multidimensional ground-air resources in the drone-assisted networks make resource allocation a critical issue in future cellular networks. A UAV placement and resource allocation algorithm is proposed that utilizes the global view and the elastic characteristics of software defined cellular networks (SDCNs). A utility maximization problem is formulated to study the reasonable three-dimensional (3D) UAV placement and optimize the tradeoff between the associated number of users and the transmission power of UAVs, which also keeps the associated users’ QoS requirement higher than the threshold. After mathematical manipulations, the intractable utility maximization problem is converted into a two-phase algorithm involving optimal drone-cell altitude-to-radius ratio, and the optimal resource allocation. Simulation results indicate the growth of the average achievable data rate of users and the network tradeoff utility of the proposed algorithm, compared with the fixed transmission power for optimal UAV placement and two-dimensional (2D) UAV placement for optimal resource allocation schemes. By deploying the new designs, the maximum data rate gain can reach up to 39.79%.","PeriodicalId":201746,"journal":{"name":"2018 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134298897","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":"Distributed Reinforcement Learning for Quality-of-Service Routing in Wireless Device-to-device Networks","authors":"Dongyu Liu, Zexu Li, Zeyu Hu, Yong Li","doi":"10.1109/ICCChinaW.2018.8674510","DOIUrl":"https://doi.org/10.1109/ICCChinaW.2018.8674510","url":null,"abstract":"In this paper, we aim to determine the multi-hop route between a device-to-device (D2D) source-destination pair which meets the quality-of-service (QoS) of services. We model this QoS routing problem in D2D as a Markov decision process (MDP) and proposes a distributed multi-agent reinforcement learning routing algorithm. We consider the QoS requirements in terms of bandwidth, delay, and packet loss rate, and allocate the routing path according to link information averaged over time in dynamic network environments. By decomposing the Q-function into multiple local Q-functions, each agent can compute its own optimal strategy based on local observations, which greatly reduces the costs of learning and searching in large-scale multi-state systems. The simulation results show that the proposed algorithm can significantly reduce the average end-to-end delay, the average packet loss rate and service rejection rate compared with both the minimum hop algorithm and the traditional routing algorithm which only considers static parameters.","PeriodicalId":201746,"journal":{"name":"2018 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133221218","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":"Multiple Attribute Handover in 5G HetNets Based on an Intuitionistic Trapezoidal Fuzzy Algorithm","authors":"Mengyuan Liu, Yibo Huan, Qixun Zhang, Wei Lu, Wei Li, T. Gulliver","doi":"10.1109/ICCChinaW.2018.8674484","DOIUrl":"https://doi.org/10.1109/ICCChinaW.2018.8674484","url":null,"abstract":"To satisfy future service demands, heterogeneous networks (HetNets) including 5G new radio (NR), 4G long term evolution (LTE), and wireless local area network (WLAN) must coexist, which makes HetNets handover critical considering user equipment mobility. Therefore, a new multiple attribute handover scheme for 5G HetNets is proposed in this paper. An optimal weight selection algorithm is derived considering the network features, types of services, and user preferences. These weights are used in an intuitionistic trapezoidal fuzzy handover scheme with an optimized candidate list. Results are presented which verify the performance improvement of the proposed handover technique in terms of the network throughput, delay, and handover time.","PeriodicalId":201746,"journal":{"name":"2018 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123972252","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":"Task Allocation for Multi-APs with Mobile Edge Computing","authors":"Peng Sun, Heli Zhang, Hong Ji, Xi Li","doi":"10.1109/ICCChinaW.2018.8674512","DOIUrl":"https://doi.org/10.1109/ICCChinaW.2018.8674512","url":null,"abstract":"Mobile Edge Computing(MEC) and Ultra-Dense Network(UDN) are two key technologies in next-generation network. UDN can bring a lot of convenience to MEC because small cells in UDN are close to users. However, the integration of these two technologies may bring many problems and one of the problems is task offloading. In this paper, we consider a practical application that contains many dependent subtasks. Some of these subtasks can be executed in parallel. We model the application as a Directed Acyclic Graph (DAG). The UE decides which subtask should be uploaded to which AP. We formulate this problem as a scheduling problem, which is NP-hard. In order to solve this problem, we propose a heuristic algorithm based on the list scheduling algorithm, called Unified Minimum Finish Time Algorithm. This algorithm jointly considers transmission time between APs and offloading time from UE to APs. Simulation results show that our proposed algorithm can significantly improve performance (compared to three baseline policies).","PeriodicalId":201746,"journal":{"name":"2018 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126445324","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}