Anis Ouni
University of Lyon
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Publication
Featured researches published by Anis Ouni.
IEEE Transactions on Wireless Communications | 2015
Anis Ouni; Hervé Rivano; Fabrice Valois; Catherine Rosenberg
Providing high data rates with minimum energy consumption is a crucial challenge for next generation wireless networks. There are few papers in the literature which combine these two issues. This paper focuses on multi-hop wireless mesh networks using a MAC layer based on Spatial Time Division Multiple Access (S-TDMA). We develop an optimization framework based on linear programming to study the relationship between throughput and energy consumption. Our contributions are two-fold. First, we formulate and solve, using column generation, a new MILP to compute offline energy-throughput tradeoff curve. We use a physical interference model where the nodes can perform continuous power control and can use a discrete set of data rates. Second, we highlight network engineering insights. We show, via numerical results, that power control and multi-rate functionalities allow optimal throughput to be reached, with lower energy consumption, using a mix of single hop and multi-hop routes.
wireless communications and networking conference | 2010
Anis Ouni; Hervé Rivano; Fabrice Valois
The capacity of a multi-hop wireless network is the traffic payload that it can transport. This is a prominent quality of service issue, particularly in the highly constrained settings of 802.11 wireless mesh network. In this paper, we consider two complementary definitions of the capacity. A network-wise capacity is defined as the sum of the upload traffic, and a flow- wise capacity highlighting the unfairness among traffic flows. We study the behavior of these capacities face to several parameters: routing protocols, number and location of gateways bridging the network to the Internet, and the physical network topology. Thorough simulations highlight the insensitivity of the capacity face to these parameters while it is directly related to the congestion around the gateway. Furthermore, we show that if the number of gateways increases, the capacity tends to a maximum boundary.
personal, indoor and mobile radio communications | 2011
Anis Ouni; Hervé Rivano; Fabrice Valois
This paper is focused on broadband wireless mesh networks based on OFDMA resource management, considering a realistic SINR model of the physical layer with a fine tuned power control at each node. A linear programing model using column generation leads to compute power efficient schedules with high network capacity. Correlation between capacity and energy consumption is analyzed as well as the impact of physical layer parameters - SINR threshold and path-loss exponent. We highlight that there is no significant tradeoff between capacity and energy when the power consumption of idle nodes is important. We also show that both energy consumption and network capacity are very sensitive to the SINR threshold variation.
ifip wireless days | 2013
Anis Ouni; Ahmed Saadani; Hervé Rivano
High data rate is a challenge for the next generation cellular networks. This objective needs a significant densification of relay nodes within macro cell. In the LTE-Advanced network, multi-hop relaying has been taken as a promising key technique to provide high throughput to the users and to improve the area coverage. Besides, minimizing the energy consumption and electromagnetic pollution is an economic challenge for the operators. This paper is focused on relay based heterogeneous cellular network like LTE-Advanced. We investigate the problem of throughput and energy consumption optimization. Our contributions are two-fold. First, we develop an optimization tool to calculate an optimal offline configuration of heterogeneous cellular network that maximizes the network capacity with low energy consumption. Second, we highlight a significant gain due to the deployment of relay nodes and we investigate the energy-capacity tradeoff.
ifip wireless days | 2012
Ibrahim Amadou; Anis Ouni; Hervé Rivano; Fabrice Valois
Contention-based Geographic Forwarding (CGF) has emerged recently as an energy-efficient communication protocol to improve the wireless sensor networks lifetime. By exploiting the wireless broadcast advantage and node spatial diversity, it mitigates the effect of varying channel condition and node unavailability. The main contributions are based on classical relay selection scheme such as most forward within radius. However, this relay selection scheme performs poorly under real radio environments because it tends to forward packets on unreliable link, which leads to high expected number of retransmissions in each hop and an important number of duplicated packets. In this paper, we investigate the performance of several relay selection schemes. First, extensive simulations are proposed to evaluate their performance locally in terms of packet delivery ratio and duplicated packets. Then, we extend the work in multihop wireless networks and evaluate their performance in term of energy. To highlight their gain, we propose a smart solution obtained by linear programming. Based on the intelligent relay selection scheme, we develop a new solution, Furthest Forward within Reliable neighbors (FFRe), which tries to save more energy than the most efficient relay selection schemes.
vehicular technology conference | 2011
Anis Ouni; Hervé Rivano; Fabrice Valois
In this paper, we focus on broadband wireless mesh networks like 3GPP LTE-Advanced. This technology is a key enabler for next generation cellular networks which are about to increase by an order of magnitude the capacity provided to users. Such an objective needs a significative densification of cells which requires an efficient backhauling infrastructure. In many urban areas as well as under-developed countries, wireless mesh networking is the only available solution. Besides, economical and environmental concerns require that the energy expenditure of such infrastructure is optimized. We propose a multi-objective analysis of the correlation between capacity and energy consumption of LTE-like wireless mesh networks. We provide a linear programing modeling using column generation for an efficient computation of the Pareto front between these objectives. Based on this model, we observe that there is actually no significant capacity against energy trade-off.
Archive | 2010
Anis Ouni; Hervé Rivano; Fabrice Valois
Archive | 2010
Anis Ouni; Hervé Rivano; Fabrice Valois
Archive | 2011
Anis Ouni; Hervé Rivano; Fabrice Valois
12èmes Rencontres Francophones sur les Aspects Algorithmiques de Télécommunications (AlgoTel) | 2010
Anis Ouni; Hervé Rivano; Fabrice Valois