scholarly journals Ocean Surface Drifting Buoy System Based on UAV-Enabled Wireless Powered Relay Network

Sensors ◽  
2020 ◽  
Vol 20 (9) ◽  
pp. 2598
Author(s):  
Haole Chen ◽  
Feng Yin ◽  
Wei Huang ◽  
Mingliu Liu ◽  
Deshi Li
Keyword(s):  
Resource Allocation ◽  
Mode Selection ◽  
Access Point ◽  
Ocean Surface ◽  
Transmission Mode ◽  
Relay Network ◽  
Selection Strategy ◽  
Resource Allocation Algorithm ◽  
Drifting Buoy ◽  
Surface Drifting Buoy

We design an ocean surface drifting buoy system based on an unmanned aerial vehicle (UAV)-enabled wireless powered relay network in which the UAV acts as mobile hybrid access point that broadcasts energy to all buoys in the downlink and forwards information from the buoys to a ship signal tower (ST) in the uplink. In order to maximize the resource allocation efficiency of the system, due to the different initial energy reserve of the buoys, a novel communication mode selection strategy is proposed. In the direct transmission mode (DT mode), an energy-sufficient buoy transmits information directly to the ST, and in the relay transmission mode (RT mode), an energy-insufficient buoy relays information to the ST through the UAV. By applying the block coordinate descent and successive convex optimization, a joint UAV trajectory and resource allocation algorithm is proposed to maximize the minimum throughput of the buoys to work in the RT mode. Simulation results show that the proposed algorithm can significantly improve the minimum throughput of the ocean surface drifting buoys.

scholarly journals Outage-Based Resource Allocation for DF Two-Way Relay Networks with Energy Harvesting

Sensors ◽  
2018 ◽  
Vol 18 (11) ◽  
pp. 3946 ◽  
Author(s):  
Chunling Peng ◽  
Fangwei Li ◽  
Huaping Liu ◽  
Guozhong Wang
Keyword(s):  
Resource Allocation ◽  
Energy Harvesting ◽  
Outage Probability ◽  
Relay Network ◽  
Total Power ◽  
Power Splitting ◽  
Decode And Forward ◽  
Resource Allocation Algorithm ◽  
Joint Resource Allocation ◽  
System Outage Probability

A joint resource allocation algorithm to minimize the system outage probability is proposed for a decode-and-forward (DF) two-way relay network with simultaneous wireless information and power transfer (SWIPT) under a total power constraint. In this network, the two sources nodes exchange information with the help of a passive relay, which is assumed to help the two source nodes’ communication without consuming its own energy by exploiting an energy-harvesting protocol, the power splitting (PS) protocol. An optimization framework to jointly optimize power allocation (PA) at the source nodes and PS at the relay is developed. Since the formulated joint optimization problem is non-convex, the solution is developed in two steps. First, the conditionally optimal PS ratio at the relay node for a given PA ratio is explored; then, the closed-form of the optimal PA in the sense of minimizing the system outage probability with instantaneous channel state information (CSI) is derived. Analysis shows that the optimal design depends on the channel condition and the rate threshold. Simulation results are obtained to validate the analytical results. Comparison with three existing schemes shows that the proposed optimized scheme has the minimum system outage probability.

scholarly journals IEEE 802.11ax OFDMA Resource Allocation with Frequency-Selective Fading

Sensors ◽  
2021 ◽  
Vol 21 (18) ◽  
pp. 6099
Author(s):  
Sergei Tutelian ◽  
Dmitry Bankov ◽  
Dmitri Shmelkin ◽  
Evgeny Khorov
Keyword(s):  
Resource Allocation ◽  
Scheduling Algorithm ◽  
Access Point ◽  
Selective Fading ◽  
Resource Allocation Algorithm ◽  
Frequency Selective Fading ◽  
Ieee 802.11Ax ◽  
Channel Conditions ◽  
Efficient Resource ◽  
Frequency Selective

This paper studies the usage of orthogonal frequency division multiple access (OFDMA) for uplink transmissions in IEEE 802.11ax networks. OFDMA enables simultaneous multi-user transmissions in Wi-Fi, but its usage requires efficient resource allocation algorithms. These algorithms should be able to adapt to the changing channel conditions, including the frequency-selective fading. This paper presents an OFDMA resource allocation algorithm for channels with frequency-selective fading and proposes an approach to adapt the user transmission power and modulation and coding schemes to the varying channel conditions, which is efficient even in the case when the access point has outdated channel state information. The proposed scheduling algorithm and power allocation approach can double the goodput and halve the data transmission time in Wi-Fi networks even in dense deployments of access points.

scholarly journals Resource Allocation Scheme for Fog-Enabled Wireless Access Networks under the QoS of Users

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Huilin Jiang ◽  
Lili Chen ◽  
Xiang Song ◽  
Xueming Liu
Keyword(s):  
Resource Allocation ◽  
Energy Efficiency ◽  
Network Architecture ◽  
Access Point ◽  
Access Networks ◽  
System Throughput ◽  
Wireless Access Networks ◽  
Resource Allocation Algorithm ◽  
Radio Access ◽  
Resource Allocation Scheme

With the complexity of the network architecture, the diversity of network slicing, and the introduction of advanced techniques such as device to device (D2D), it is difficult for the next-generation (5G+ or 6G) networks to comprehensively consider the requirements of users from different slices and jointly allocate wireless resources to improve network energy efficiency. This paper studies the energy efficiency optimization problem for D2D-enabled fog radio access networks (FRANs). A resource allocation algorithm is proposed to maximize the network energy efficiency by jointly optimizing the beamforming vector, resource block allocation, and transmission power of the remote radio heads (RRHs), fog access point (FAP), and D2D users. The developed algorithm is based on nonlinear programming, convex optimization, and Lagrangian duality. Simulation results show that, by applying the proposed algorithm, the system throughput is significantly improved, and the network energy consumption is greatly reduced, which can ultimately improve the network energy efficiency obviously.

scholarly journals An multi-BSS multi-user full duplex MAC protocol based on AP cooperation for the next generation WLAN

2021 ◽  
Vol 39 (3) ◽  
pp. 502-509
Author(s):  
Meiping Peng ◽  
Bo Li ◽  
Zhongjiang Yan ◽  
Mao Yang
Keyword(s):  
Resource Allocation ◽  
Access Point ◽  
Full Duplex ◽  
System Throughput ◽  
Information Collection ◽  
Next Generation ◽  
Coverage Area ◽  
Resource Allocation Algorithm ◽  
Allocation Algorithm ◽  
Channel Resource

Aiming at the problems of low efficiency of buffer information collection and sharp drop of system throughput caused by the aggravation of conflicts in the multi basic service set (BSS) high density deployment overlap coverage scenario of next generation wireless local access network (WLAN), an access point cooperation based multi-BSS multi-user full duplex multiple access protocol named as CMMFD is proposed. Firstly, a channel resource allocation algorithm for stations (STA) in overlapping coverage area is designed, in which, the access control (AC) equipment allocates the channel resources for all STA in response to buffer state and interference information (BI) according to the proportion of STA in the overlapped coverage area. Secondly, a BI information collection protocol process based on access point (AP) cooperation sending trigger frame is designed to collect all STA information. After receiving trigger frame, STA will access the channel and report BI information in p-probability according to the channel resources allocated by AC. Finally, a multi-BSS multi-user channel resource allocation algorithm based on full duplex is designed. AC allocates channel resources according to all BI information reported by AP, and schedules STA in the multi-BSS to carry out multi-user full duplex transmission over the sub-channel. Simulation results show that the throughput of the CMMFD protocol improves by 29.6%, compared with Mu-FuPlex protocol and EnFD-OMAX protocol.

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