Papers by Ghassan Alnwaimi
2019 15th International Wireless Communications & Mobile Computing Conference (IWCMC)
In this paper, a method to optimize packet length for two way relaying systems is suggested. Two ... more In this paper, a method to optimize packet length for two way relaying systems is suggested. Two source nodes N<inf>1</inf> and N<inf>2</inf> are transmitting data simultaneously to each other through a selected relay. The relay amplifies the sum of N<inf>1</inf> and N<inf>2</inf> signals. N<inf>1</inf> (respectively N<inf>2</inf>) retrieves its own signal to be able to detect that of node N<inf>2</inf> (respectively N<inf>1</inf>). In the existing literature, a Fixed Packet Length (FPL) is used and it is demonstrated, in this paper, that the proposed Optimal Packet Length (OPL) allows to enhance the system throughput.
Arabian Journal for Science and Engineering
Telecommunication Systems
2019 15th International Wireless Communications & Mobile Computing Conference (IWCMC)
Arabian Journal for Science and Engineering
Digital Communications and Networks
Arabian Journal for Science and Engineering
Arabian Journal for Science and Engineering
IEEE Transactions on Vehicular Technology
Telecommunication Systems
2015 22nd International Conference on Telecommunications (ICT), 2015
2013 IEEE 78th Vehicular Technology Conference (VTC Fall), 2013
ABSTRACT The decentralised and ad hoc nature of femtocell deployments calls for distributed learn... more ABSTRACT The decentralised and ad hoc nature of femtocell deployments calls for distributed learning strategies to mitigate interference. We propose a distributed spectrum awareness scheme for femtocell networks, based on combined payoff and strategy reinforcement learning (RL) models. We present two different learning strategies, based on modifications to the Bush Mosteller (BM) RL and the Roth-Erev RL algorithms. The simulation results show the convergence behaviour of the learning strategies under a dynamic robust game. As compared to the Bush Mosteller (BM) RL, our modified BM (MBM) converges smoothly to a stable satisfactory solution. Moreover, the MBM significantly reduces the interference collision cost during the learning process. Both the MBM and the modified Roth-Erev (MRE) algorithms are stochastic-based learning strategies which require less computation than the gradient follower (GF) learning strategy and have the capability to escape from suboptimal solution.
International Journal of Sensor Networks
Telecommunication Systems
Journal of Computer Networks and Communications
In this article, a method to enhance data rates of free-space optical (FSO) systems using packet ... more In this article, a method to enhance data rates of free-space optical (FSO) systems using packet length optimization is proposed. The average signal-to-noise ratio (ASNR) is measured at the receiver and sent back to the transmitter to optimize packet length. In addition, the length of packet is optimized to enhance the average throughput. We concluded that packet length can be reduced at low ASNR. However, packet length should be increased at higher values of received ASNR. For each ASNR, we also choose the optimal modulation and coding scheme (MCS) and optimal packet length to maximize the throughput. Different MCSs are investigated such as 4-pulse amplitude modulation (PAM) with and without channel coding, 8-PAM, 16-PAM, and 32-PAM. The proposed method gives 0.8–1.9 dB gain with respect to conventional FSO with adaptive modulation and coding (AMC) and fixed packet length. This is the first paper to deal with packet length optimization for FSO systems.
2013 Ieee 78th Vehicular Technology Conference, 2013
ABSTRACT The decentralised and ad hoc nature of femtocell deployments calls for distributed learn... more ABSTRACT The decentralised and ad hoc nature of femtocell deployments calls for distributed learning strategies to mitigate interference. We propose a distributed spectrum awareness scheme for femtocell networks, based on combined payoff and strategy reinforcement learning (RL) models. We present two different learning strategies, based on modifications to the Bush Mosteller (BM) RL and the Roth-Erev RL algorithms. The simulation results show the convergence behaviour of the learning strategies under a dynamic robust game. As compared to the Bush Mosteller (BM) RL, our modified BM (MBM) converges smoothly to a stable satisfactory solution. Moreover, the MBM significantly reduces the interference collision cost during the learning process. Both the MBM and the modified Roth-Erev (MRE) algorithms are stochastic-based learning strategies which require less computation than the gradient follower (GF) learning strategy and have the capability to escape from suboptimal solution.
Ieee Transactions on Wireless Communications, Apr 1, 2015
ABSTRACT Interference is one of the most limiting factors when trying to achieve high spectral ef... more ABSTRACT Interference is one of the most limiting factors when trying to achieve high spectral efficiency in the deployment of heterogeneous networks (HNs). In this paper, the HN is modeled as a layer of closed-access LTE femtocells (FCs) overlaid upon an LTE radio access network. Within the context of dynamic learning games, this work proposes a novel heterogeneous multiobjective fully distributed strategy based on a reinforcement learning (RL) model (CODIPAS-HRL) for FC self-configuration/optimization. The self-organization capability enables the FCs to autonomously and opportunistically sense the radio environment using different learning strategies and tune their parameters accordingly, in order to operate under restrictions of avoiding interference to both network tiers and satisfy certain quality-of-service requirements. The proposed model reduces the learning cost associated with each learning strategy. We also study the convergence behavior under different learning rates and derive a new accuracy metric in order to provide comparisons between the different learning strategies. The simulation results show the convergence of the learning model to a solution concept based on satisfaction equilibrium, under the uncertainty of the HN environment. We show that intra/inter-tier interference can be significantly reduced, thus resulting in higher cell throughputs.
In this article, we suggest optimizing packet length for two way relaying with energy harvesting.... more In this article, we suggest optimizing packet length for two way relaying with energy harvesting. In the first transmission phase, two source nodes N 1 and N 2 are transmitting data to each others through a selected relay R. In the second phase, the selected relay will amplify the sum of the signals received signals from N 1 and N 2. The selected relay amplifies the received signals using the harvested energy from Radio Frequency (RF) signals transmitted by nodes N 1 and N 2. Finally, N 1 will remove, from the relay's signal, its own signal to be able to decode the symbol of N 2. Similarly, N 2 will remove, from the relay's signal, its own signal to be able to decode the symbol of N 1. We derive the outage probability, packet error probability and throughput at N 1 and N 2. We also optimize packet length to maximize the throughput at N 1 or N 2 .
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Papers by Ghassan Alnwaimi