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Distributed micro-batch streaming systems, such as Spark Streaming, employ backpressure mechanisms to maintain a stable, high throughput stream of results that is robust to runtime dynamics. Checkpointing in stream processing systems is a process that creates periodic snapshots of the data flow for fault tolerance. These checkpoints can be expensive to produce and add significant delay to the data...
Multi-path TCP has recently shown great potential to take advantage of the rich path diversity in data center networks (DCN) to increase transmission throughput. However, the small flows, which take a large fraction of data center traffic, will easily get a timeout when split onto multiple paths. Moreover, the dynamic congestions and node failures in DCN will exacerbate the reorder problem of parallel...
With the rapid growth of bandwidth-intensive applications, Carrier Aggregation (CA) has been introduced in Long Term Evolution-Advanced (LTE-A) Networks to provide higher data rates. In this paper, we investigate the joint resource block allocation and link adaptation problem with CA in LTE-A dwonlink. The problem is formulated as an Integer Programming problem aimed at maximizing the cell throughtput...
Spectrum sensing is used to detect spectrum holes and find active primary users while randomly selecting channel for sensing leads to secondary user's low throughput in cognitive radio networks. Spectrum prediction forecasts future channel status on the basis of historical information, and BP neural network is used as an example of the prediction method. Second users' frame structure is redesigned...
Full-duplex communication has been proved as a realizable way to enhance the capacity of wireless network. In this paper, we analyze the asymptotic capacity of full-duplex wireless networks where each terminal is equipped with only one interface, but two channels are available. By analysis, we obtain the upperbound of the full-duplex capacity. Based on the theoretical analysis, we design two link...
In this paper, we address the problem of joint Resource Block (RB) allocation and Modulation-and-Coding Scheme (MCS) selection for LTE femtocell DownLink (DL). We first formulate the problem as an Integer Linear Program (ILP) whose objective is to minimize the number of allocated RBs of a closed femtocell, while guaranteeing minimum throughput for each user. In view of the NP-hardness of the ILP,...
In LTE-A macro-femtocell networks, the dense deployment of femtocells may cause strong Inter-Cell Interference (ICI), which will lead to decrease Femto User Equipment (FUE) throughput and QoS, resulting in the degradation of the total throughput of the cell. Fractional Frequency Reuse is a conversation scheme which proves to be an efficient solutions to this problem. In this paper, we propose an Intelligent...
This paper addresses the issue of packet scheduling with spatial division multiplexing (SDM) techniques of multiple input multiple output (MIMO) antenna in the 3GPP Long Term Evolution (LTE) downlink. Considering the restricted condition of selecting SDM techniques, a novel packet scheduling algorithm with quality of service (QoS) support in LTE downlink MIMO system, named QoS-DMO, is proposed. QoS-DMO...
In this paper, we address the problem of designing a joint scheduling and power control algorithm in a downlink coordinated multi-point (CoMP) cluster supporting CoMP joint transmission. The objective is to maximize the cell-edge throughput under per-point power constraints. By an analytical derivation, binary power control is proved to be the optimal solution for any given selected user group. Utilizing...
To deal with the problem that cognitive information and queuing information are not both taken into account when performing Resource Allocation (RA), we have proposed a cross-layer RA scheme in a multiuser cognitive system with Orthogonal Frequency Division Multiple Access (OFDMA). In this scheme, we assume that several crucial factors influence the RA decision, including subchannel occupancy state,...
A fundamental issue in a large-scale distributed system consisting of heterogeneous machines which vary in both I/O and computing capabilities is to distribute workloads with respect to the capabilities of each node to achieve the optimal performance. However, node capabilities are often not stable due to various factors. Simply using a static workload distribution scheme may not well match the capability...
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