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In this paper, we study a joint beam and user scheduling problem in a cooperative cellular network utilizing orthogonal random beamforming technique. This paper aims to minimize total base stations' average energy expenditure while ensuring finite service time for all traffic arrivals in a given set. We leverage Lyapunov optimization technique to transform original long-term problem into short-term...
Reliability, interoperability and efficiency are fundamental in Wireless Sensor Network deployment. Herein we look at how transmission power control may be used to reduce interference, which is particularly problematic in high-density conditions. We adopt a distributed approach where every node has the ability to learn which transmission power is most appropriate, given the network conditions and...
According to characteristics of the engineering arrangements and the operational environment of the underground metal mine, the field experiment of RSSI distance measurement was carried out in underground mine. Based on the field experiment results, the RSSI-distance relation model was established and the laboratory experiment of the BP neural network localization model was carried out. Experimental...
In this paper, we consider a centralized dynamic spectrum sharing system, in which dynamic spectrum allocation is accomplished in spectrum database. We consider a more realistic scenario, in which different users can access the same channel simultaneously within limited interference. Due to the users submitting the service requirements in a sequential manner, the current channel allocation result...
In the minimum latency broadcasting problem with interference in concern, some previously proposed heuristics where broadcasting nodes with an ability to reduce their transmission range to their farthest nodes have shown an improvement in decreasing interference thus decreasing latency. In this paper, we propose an enhancing scheme for the problem by allowing nodes, which are not selected to be the...
Managing resources in wireless communication is a crucial task to ensure demand is satisfied at a minimal operational cost. This includes managing constraints such as co-frequency, adjacent frequency and co-site so that interference is avoided. Any occurrence of interference will affect the quality of communication conducted between parties involved. Therefore, a good and efficient method is required...
Neighbouring cells deteriorates the performance of Orthogonal Frequency Division Multiplexing Access (OFDMA) cellular networks particularly for edge users due to Inter Cell Interference (ICI). In this paper, subcarrier integration with suitable links is proposed for minimizing ICI after Self Organized Resource Allocation (SORA) and Link Grouping Algorithm (LGA) is used to selects the satisfactory...
One method of patch clamping on brain tissue slices in vitro requires a human operator to visually track a cell's boundary and delicately make contact with a cell's membrane using a micropipette's tip. This type of patch clamping may be automated with computer vision methods; yet this is challenging since it requires precision cell-boundary tracking in the presence of heavy noise and interference...
The paradigm of shared spectrum allows secondary devices to opportunistically access spectrum bands underutilized by primary owners. As the first step, the FCC targeted sharing the 3.5 GHz (3550–3700 MHz) federal spectrum with commercial systems. The proposed rules require a Spectrum Access System to implement a three-tiered spectrum management framework, and one of its key functions is dynamic channel...
The target of this paper is to propose a practical low-complexity power allocation algorithm that strikes a good balance between Spectral Efficiency (SE) and power saving for the downlink of interference-limited cellular networks. Because abundant interference usually results from dense frequency reuse and high power transmission, power optimization schemes are critical to interference management...
This paper studies a wireless network consisting of multiple transmitter-receiver pairs sharing the same spectrum where interference is regarded as noise. Previously, the throughput region of such a network was characterized for either one time slot or an infinite time horizon. This work aims to close the gap by investigating the throughput region for transmissions over a finite time horizon. We derive...
Spectrum trading not only improves spectrum utilization but also benefits both secondary users (SUs) with more accessing opportunities and primary users (PUs) with monetary gains. Although existing centralized designs consider the special features of spectrum trading (e.g., frequency reuse, interference mitigation, multi-radio multi- channel transmissions, etc.), they have to deploy new infrastructure,...
In multi-radio multi-channel (MRMC) WMNs, interference alleviation is affected through several network design techniques e.g., channel assignment (CA), link scheduling, routing etc., intelligent CA schemes being the most effective tool for interference mitigation. CA in WMNs is an NP-Hard problem, and makes optimality a desired yet elusive goal in real-time deployments which are characterized by fast...
Structured prediction algorithms—used when applying machine learning to tasks like natural language parsing and image understanding—present some opportunities for fine-grained parallelism, but also have problem-specific serial dependencies. Most implementations exploit only simple opportunities such as parallel BLAS, or embarrassing parallelism over input examples. In this work we explore an orthogonal...
In massive multi-input multi-output systems, the pilot contamination has a strong impact on the performance. In this paper, an advanced channel estimation scheme by utilizing the angles of arrival (AoAs) of cell-edge users is proposed to alleviate the impact of pilot contamination. We exploit angle diversity and low-rank characteristic of the second-order statistical channel information to group cell-edge...
Today, Cognitive radio (CR) is found to be the key technology to exploit the unused available spectrum resources; it can sense and use spectrum in an opportunistic manner without creating any harm to cognitive users. In this paper, we develop a cognitive radio access strategy based on the implementation of a dynamic genetic algorithm for CR. The crossover and mutation operators are developed to keep...
Verification techniques for concurrent systems are often based on systematic state space traversal. An important piece of such techniques is partial order reduction (POR). Many algorithms of POR have been already developed, each having specific advantages and drawbacks. For example, fully dynamic POR is very precise but it has to check every pair of visible actions to detect all interferences. Approaches...
The traffic profile of future mobile networks is foreseen as becoming more variable both in time and among base stations (BSs) due to the widespread heterogeneity in applications and services. Dynamic time division duplex (TDD) has been recognized as an important enabler to cope with this traffic variability, especially in dense networks with many BSs and a small number of user equipments (UEs) served...
In this paper, we present a big-data self organizing network (Bi-SON) framework aiming to optimize energy efficiency of ultra-dense small cells. Although small cell can enhance the capacity of cellular mobile networks, ultra-dense small cells suffer from severe interference and poor energy efficiency. The self organizing network (SON) can automatically manage and optimize the system performance. However,...
To support safety critical application at low cost, we have proposed the smartphone-based V2X system as an alternative of DSRC. To assess the feasibility of our system on the road, we should address channel interference. We briefly describe (1) our smartphone-based system, (2) a typical graph coloring algorithm TABUCOL, and (3) our idea to avoid interference.
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