Results 51 to 60 of about 1,636,218 (183)
Energy-efficient user association in cognitive heterogeneous networks [PDF]
Due to the ever increasing data traffic demands, which are directly connected to increased energy consumption, it becomes challenging for operators to achieve capacity enhancement while limiting their electric bill. To that end, exploiting the context awareness of future cognitive networks is expected to play a key role.
Mesodiakaki, Agapi +3 more
openaire +4 more sources
Mining top-k granular association rules for recommendation
Recommender systems are important for e-commerce companies as well as researchers. Recently, granular association rules have been proposed for cold-start recommendation.
Min, Fan, Zhu, William
core +1 more source
Fuzzy Q-learning-based user-centric backhaul-aware user cell association scheme [PDF]
Heterogeneous networks are a key solution to serving the exponential surge in data volume and higher quality expectations. Nonetheless, such networks require the ubiquitous presence of fiber-to-the-cell to address the performance demands of 5G and fast-spreading small cells.
Pervez, Farrukh +4 more
openaire +1 more source
Multiple-UAV-Assisted SWIPT in Internet of Things: User Association and Power Allocation
Simultaneous wireless information and power transfer (SWIPT) has sparked a wave of interest in research, while unmanned aerial vehicles (UAVs) can offer a high level of service for Internet of Things (IoT) due to its deployment flexibly.
Fei Huang +5 more
doaj +1 more source
In dense millimeter wave (mmWave) networks, user association, i.e., the task of selecting the access point (AP) that each arriving user should join, significantly impacts the network performance.
Ravindra S. Tomar +2 more
doaj +1 more source
Multi-Connectivity Enabled User Association
This paper focuses on the problem of multi-connectivity enabled downlink user association to maximize the overall throughput in small cell networks, which is an NP-Hard problem. We formulate the problem of user association as a linear and integer optimization problem.
Simsek, Goksel +2 more
openaire +2 more sources
Multi-Location-Aware Joint Optimization of Content Caching and Delivery for Backhaul-Constrained UDN
Mobile edge caching is regarded as a promising way to reduce the backhaul load of the base stations (BSs). However, the capacity of BSs’ cache tends to be small, while mobile users’ content preferences are diverse.
Wenpeng Jing +3 more
doaj +1 more source
Semantic communication (SemCom) leverages artificial intelligence (AI) to prioritize meaningful information exchange, significantly enhancing efficiency and resource utilization in next-generation wireless networks.
Hassan Saadat +4 more
doaj +1 more source
Queue-Aware Cell Activation and User Association for Traffic Offloading via Dual-Connectivity
With the objective of reducing energy cost, we study the stochastic optimization of traffic off-loading via dual-connectivity by joint cell activation and user association.
Qiaoni Han, Bo Yang, Xiaocheng Wang
doaj +1 more source
Joint Optimization Method of User Association and Spectrum Allocation for Multi-UAV-Assisted Communication [PDF]
In this paper, we mainly study the scenario where multiple UAVs act as aerial base stations (BSs) to provide communication services for ground users (GUs). We propose a method to optimize the max-min average rate of GUs in order to ensure the fairness of
D. Wu, Y. Zhang, P. Qian, Y. Chen
doaj

