Joint Power Allocation and Subcarrier-Relay Assignment for OFDM-Based Decode-and-Forward Relay Networks

2016 ◽  
Vol 20 (11) ◽  
pp. 2312-2315 ◽  
Author(s):  
Anahid Attarkashani ◽  
Walaa Hamouda
Electronics ◽  
2019 ◽  
Vol 8 (6) ◽  
pp. 686 ◽  
Author(s):  
Tayyaba Jabeen ◽  
Zain Ali ◽  
Wali Ullah Khan ◽  
Furqan Jameel ◽  
Imran Khan ◽  
...  

In this paper, we present a joint power allocation and adaptive link selection protocol for an orthogonal frequency division multiplexing (OFDM)-based network consists of one source node i.e., base station (BS), one destination node i.e., (MU) and a buffer aided decode and forward (DF) relay node. Our objective is to maximize the average throughput of the system via power loading over different subcarriers at source and relay nodes. A separate power budget is assumed at each transmitting node to make the system more practical. In order to form our solution more tractable, a decomposition framework is implemented to solve the mixed integer optimization problem. Further, less complex suboptimal approaches have also been presented and simulation results are provided to endorse the efficiency of our designed algorithms.


Sensors ◽  
2018 ◽  
Vol 18 (10) ◽  
pp. 3560 ◽  
Author(s):  
Maliha Amjad ◽  
Ashfaq Ahmed ◽  
Muhammad Naeem ◽  
Muhammad Awais ◽  
Waleed Ejaz ◽  
...  

Cooperative communication with RF energy harvesting relays has emerged as a promising technique to improve the reliability, coverage, longevity and capacity of future IoT networks. An efficient relay assignment with proper power allocation and splitting is required to satisfy the network’s QoS requirements. This work considers the resource management problem in decode and forward relay based cooperative IoT network. A realistic mathematical model is proposed for joint user admission, relay assignment, power allocation and splitting ratio selection problem. The optimization problem is a mixed integer non-linear problem (MINLP) whose objective is to maximize the overall sum rate (bps) while satisfying the practical network constraints. Further, an outer approximation algorithm is adopted which provides epsilon-optimal solution to the problem with guaranteed convergence and reasonable complexity. Simulations of the proposed solution are carried out for various network scenarios. The simulation results demonstrate that cooperative communication with diversity achieves a better admission of IoT users and increases not only their individual data rates but also the overall sum rate of an IoT network.


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