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Zhao C.,CAS Shanghai Institute of Microsystem and Information Technology | Zhao C.,Shanghai Research Center for Wireless Communication | Zhang W.,CAS Shanghai Institute of Microsystem and Information Technology | Zhang W.,Shanghai Research Center for Wireless Communication | And 5 more authors.
IEEE Transactions on Vehicular Technology | Year: 2015

Compressive sensing (CS)-based data aggregation has become an increasingly important research topic for largescale wireless sensor networks since conventional data aggregations are shown to be inefficient and unstable in handling huge data traffic. However, for CS-based techniques, the discrete cosine transform, which is the most widely adopted sparsification basis, cannot sufficiently sparsify real-world signals, which are unordered due to random sensor distribution, thus weakening advantages of CS. In this paper, an energy-efficient CS-based scheme, which is called "treelet-based clustered compressive data aggregation" (T-CCDA), is proposed. Specifically, as a first step, treelet transform is adopted as a sparsification tool to mine sparsity from signals for CS recovery. This approach not only enhances the performance of CS recovery but reveals localized correlation structures among sensor nodes as well. Then, a novel clustered routing algorithm is proposed to further facilitate energy saving by taking advantage of the correlation structures, thus giving our T-CCDA scheme. Simulation results show that the proposed scheme outperforms other reference approaches in terms of communication overhead per reconstruction error for adopted data sets. © 2014 IEEE.


Han T.,Huazhong University of Science and Technology | Liu X.,Huazhong University of Science and Technology | Wang L.,Wenhua College | Wang J.,Shanghai Research Center for Wireless Communication | And 3 more authors.
2016 IEEE International Conference on Communications, ICC 2016 | Year: 2016

This paper investigates the energy saving of base station (BS) deployed in a 1-D multi-hop vehicular network with sleep scheduling strategy. We consider cooperative BS scheduling strategy where BSs can switch between sleep and active modes to reduce the average energy consumption utilizing the information of vehicular speeds and locations. Assuming a Poisson distribution of vehicles, we derive an appropriate probability distribution function of distance between two adjacent cluster heads, where a cluster is a maximal set of vehicles in which every two adjacent vehicles can communicate directly when their Euclidean distance is less than or equal to a threshold, known as the communication range of vehicles. Furthermore, the expected value of the sojourn time in the sleep mode and energy saving are obtained. The numerical results show that the sleep scheduling strategy significantly reduces the energy consumption of the base stations.1 © 2016 IEEE.


Han T.,Huazhong University of Science and Technology | Feng Y.,Huazhong University of Science and Technology | Wang J.,Shanghai Research Center for Wireless Communication | Wang J.,CAS Shanghai Institute of Microsystem and Information Technology | And 3 more authors.
2015 IEEE International Conference on Communication Workshop, ICCW 2015 | Year: 2015

In this paper, we consider a two-dimensional heterogeneous cellular network scenario consisting of one base station (BS) and some mobile stations (MSs) whose locations follow a Poisson point process (PPP). The MSs are equipped with multiple radio access interfaces including a cellular access interface and at least one short-range communication interface. We propose a nearest-neighbor cooperation communication (NNCC) scheme by exploiting the short-range communication between a MS and its nearest neighbor to collaborate on their uplink transmissions. In the proposed cooperation scheme, a MS and its nearest neighbor first exchange data by the short-range communication. Upon successful decoding of the data from each other, they proceed to send their own data, as well as the data received from the other to the BS respectively in orthogonal time slots. The energy efficiency analysis for the proposed scheme is presented based on the characteristics of the PPP and the Rayleigh fading channel. Numerical results show that the NNCC scheme significantly improves the energy efficiency compared to the conventional non-cooperative uplink transmissions. © 2015 IEEE.


Patent
Shanghai Research Center For Wireless Communication | Date: 2016-11-30

Disclosed is a network frequency spectrum sharing method, which is used for implementing shared frequency spectrum allocation between a present operator and a different operator. In a certain area, a user terminal of the present operator performing signal strength measurement of the different operator and sending a network signal strength measurement report of the different operator to a home base station; the operation management node of the given operator, based on the network signal strength measurement report of the different operator, which is forwarded by the base station, calculating a network overlapping degree indication of the different operator, and based on the network overlapping degree indication, obtaining network overlapping topology-based information of the different operator; and a present operator network and a different operator network exchanging the network overlapping topology-based information, and calculating a policy for allocating shared spectrum resources between the present operator and the different operator. The present invention can enable different operators to fairly and reasonably share frequency spectrum resources within a specified range, thus increasing a frequency spectrum utilization rate of an entire communication network and ensuring communication quality of the user terminal.

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