Advanced Wireless Network Optimization
251 papers on this topic
EMM: Energy-Aware Mobility Management for Mobile Edge Computing in Ultra Dense Networks
Merging mobile edge computing (MEC) functionality with the dense deployment of base stations (BSs) provides enormous benefits such as a real proximity, low latency access to computing resources....
Multi-objective Resource Allocation for D2D and Enabled MC-NOMA Networks by Tchebycheff Method
This paper considers a resource allocation problem in device-to-device (D2D) communications sharing the same frequency spectrum. In particular, the CUs utilize non-orthogonal multiple access...
Joint Allocation Strategies of Power and Spreading Factors with Imperfect Orthogonality in LoRa Networks
The LoRa physical layer is one of the most promising Low Power Wide-Area Network (LPWAN) technologies for future Internet of Things (IoT) applications. It provides a flexible adaptation of...
Multi Agent DeepRL based Joint Power and Subchannel Allocation in IAB networks
Integrated Access and Backhauling (IAB) is a viable approach for meeting the unprecedented need for higher data rates of future generations, acting as a cost-effective alternative to dense...
Resource Allocation and Scheduling in Non-coherent User-centric Cell-free MIMO
We study the problem of user-scheduling and resource allocation in distributed multi-user, multiple-input multiple-output (MIMO) networks implementing user-centric clustering and non-coherent...
Towards Multi-agent Reinforcement Learning for Wireless Network Protocol Synthesis
This paper proposes a multi-agent reinforcement learning based medium access framework for wireless networks. The access problem is formulated as a Markov Decision Process (MDP), and solved using...
Towards Efficient Dynamic Uplink Scheduling over Multiple Unknown Channels
Age-of-Information (AoI) is a critical metric for network applications. Existing works mostly address optimization with homogeneous AoI requirements, which is different from practice. In this...
Efficient Multi-User Computation Offloading for Mobile-Edge Cloud Computing
Mobile-edge cloud computing is a new paradigm to provide cloud computing capabilities at the edge of pervasive radio access networks in close proximity to mobile users. In this paper, we first...
Multiuser Computation Offloading and Downloading for Edge Computing with Virtualization
Mobile-edge computing (MEC) is an emerging technology for enhancing the computational capabilities of mobile devices and reducing their energy consumption via offloading complex computation tasks...
Delay-Optimal and Energy-Efficient Communications with Markovian Arrivals
In this paper, delay-optimal and energy-efficient communication is studied for a single link under Markov random arrivals. We present the optimal tradeoff between delay and power over Additive...
Price-based Resource Allocation for Edge Computing: A Market Equilibrium Approach
The emerging edge computing paradigm promises to deliver superior user experience and enable a wide range of Internet of Things (IoT) applications. In this work, we propose a new market-based...
How Should I Orchestrate Resources of My Slices for Bursty URLLC Service Provision?
Future wireless networks are convinced to provide flexible and cost-efficient services via exploiting network slicing techniques. However, it is challenging to configure network slicing systems...
Precoding and Scheduling for AoI Minimization in MIMO Broadcast Channels
In this paper, we consider a status updating system where updates are generated at a constant rate at $K$ sources and sent to the corresponding recipients through a noise-free broadcast channel....
Universal Policy Tracking: Scheduling for Wireless Networks with Delayed State Observation
Numerous scheduling algorithms have been proposed to optimize various performance metrics like throughput, delay and utility in wireless networks. However, these algorithms often require...
Optimal Policies of Advanced Sleep Modes for Energy-Efficient 5G networks
We study in this paper optimal control strategy for Advanced Sleep Modes (ASM) in 5G networks. ASM correspond to different levels of sleep modes ranging from deactivation of some components of the...
A Novel Cross Entropy Approach for Offloading Learning in Mobile Edge Computing
In this paper, we propose a novel offloading learning approach to compromise energy consumption and latency in multi-tier network with mobile edge computing. In order to solve this integer...
Zero-touch Continuous Network Slicing Control via Scalable Actor-Critic Learning
Artificial intelligence (AI)-driven zero-touch network slicing is envisaged as a promising cutting-edge technology to harness the full potential of heterogeneous 5G and beyond 5G (B5G)...
Intelligent Resource Slicing for eMBB and URLLC Coexistence in 5G and Beyond: A Deep Reinforcement Learning Based Approach
In this paper, we study the resource slicing problem in a dynamic multiplexing scenario of two distinct 5G services, namely Ultra-Reliable Low Latency Communications (URLLC) and enhanced Mobile...