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International audience; In indoor visible light communication systems, transmitters are usually within the line of sight of the receiver. In order to enjoy the benefits of using multiple-input-multiple-output (MIMO) system, the technique for reducing channel correlation is important. This paper proposes a MIMO system using an angle diversity receiver (ADR) to achieve high spatial multiplexing gain. In our proposed system, receiver consists of multiple photodetectors (PDs) whose normals are pointing toward different directions. As a result, the incident angles from the same light emitting diode (LED) are different for different PDs and hence, channel correlation can be reduced. The spatial separation among PDs is small and no imaging lens is required. The proposed receiver is suitable for mounting on small devices like smartphones. Performance comparisons, in terms of analytical, simulated and experimental bit error rates (BER), are carried out for a MIMO system with 4 LED transmitters and 5 PD receivers. Results show that the proposed receiver performs better than other existing non-imaging receiver designs. Our proposed MIMO system is a practically feasible solution to enjoy low channel correlation and support mobility at receiver.

International audience; In this work, we develop mathematical and algorithmic tools for distributed resource allocation in downlink of mobile cellular networks. Our algorithms perform power allocation, subcarrier selection and base station association simultaneously. We aim to maximize the aggregate utility of all the users where users' utilities can be arbitrary increasing functions of their throughputs; this allows us to capture both elastic and inelastic traffics. Our solution is via framing the problem as a potential game among users. We propose a highly scalable, asynchronous algorithm that provably converges to a Nash equilibrium of this game. This algorithm requires only local measurements, limited communication between neighboring nodes and limited computation. This algorithm may at times stuck at a local maximum. To alleviate this problem we propose an enhanced randomized algorithm based on spatial adaptive play, that provably converges to a system optimal resource allocation. We also present simulation results to illustrate convergence and performance of the proposed algorithms.

Handover measurement is responsible for finding a handover target and directly decides the performance of mobility management. It is governed by a complex combination of parameters dealing with multi-cell scenarios and system dynamics. A network design has to offer an appropriate handover measurement procedure in such a multi-constraint problem. The present paper proposes a unified framework for the network analysis and optimization. The exposition focuses on the stochastic modeling and addresses its key probabilistic events namely (i) suitable handover target found, (ii) service failure, (iii) handover measurement triggering, and (iv) handover measurement withdrawal. We derive their closed-form expressions and provide a generalized setup for the analysis of handover measurement failure and target cell quality by the best signal quality and \st{minimum duration outage} \textit{level crossing properties}. Finally, we show its application and effectiveness in today's 3GPP-LTE cellular networks., Comment: Published in IEEE/ACM Transaction on Networking, vol.22, no.5, pp.1559,1576, Oct. 2014

International audience; Small cell techniques are recognized as the best way to deliver high capacity for broadband cellular communications. Femtocell and distributed antenna systems (DAS) are important components in the overall small cell story, but are not the complete solution. They have major disadvantages of very limited cooperation capability and expensive deployment cost, respectively. In this article, we propose a novel mobile-over-FTTx (MoF) network architecture, where a fiber-to-the-x (FTTx) network is enhanced as an integrated rather than a simple backhauling component of a new mobile network delivering low-cost and powerful small cell solutions. In part, the MoF architecture combines the advantages of femtocell and DAS, while overcoming their disadvantages. Implementation challenges and potential solutions are discussed. Simulation results are presented and demonstrate the strong potential of the MoF in boosting the capacity of mobile networks.

International audience; We show by the analytical and simulation results that pre-equalized OFDM based on base-field Hartley transform (BHT-OFDM), which is an alternative air interface for LTE-beyond or 5G, provides significantly better PAPR performance than conventional OFDM systems. We develop a tractable analytical closed-form expression of the statistical distribution of PAPR of pre-equalized BHT-OFDM based on correlated multivariate Rayleigh distributions and verify the result with comprehensive simulation studies. Comparisons show that the analytical and simulation results are consistent. Our study suggests that pre-equalized BHT-OFDM is not only favorable due to its inherent error correction capability but is also highly recommendable for its superiority in power efficiency beyond today's OFDM scheme.

International audience; Small cell network is designed to provide mobile services to hot spots by deploying a large number of small access points (APs). As traditional network deployment requires costly AP location acquisition, cost-effective network deployment is necessary for small cell networks. We investigate this question by studying the network performance in terms of spatial outage and throughput of a completely random topology in comparison to that of a perfectly regular topology. Using a stochastic geometry model of user SINR in a random topology, our results show that the performance gap in terms of user SINR guarantee becomes narrow when the network density increases during the network densification. By a massive deployment, the loss is about 1 dB. Besides, it is at about 18% loss in user average throughput. These comparative results would provide helpful information to choose an appropriate deployment. In particular, as far as this relatively small performance loss can be compensated by other network control algorithms, the massive random deployment of a small cell network becomes attractive considering the cost reduction by the given deployment freedom.

International audience; We consider the problem of LTE network self organization and optimization of resource allocation. One particular challenge for LTE systems is that, by applying OFDMA, a transmission may use multiple resource blocks scheduled over the frequency and time. There are three key components involved in the resource allocation and network optimization: resource block scheduling, power control, and client association. We propose a distributed protocol that aims to achieve weighted proportional fairness (WPF) among clients by jointly consider them. The cross-layer design includes: (i) an optimal online policy for resource block scheduling, (ii) a heuristic for transmit power control, and (iii) a selfish strategy for client association. The proposed scheme only requires limited local information exchange and thus can be easily implemented for large networks. Simulation results have shown its effectiveness in both the system throughput and user fairness.

International audience; We consider coordination in a multi-user multiple input single output cellular system. In contrast with existing base station cooperation methods that rely on sharing CSI with or without user data to manage interference, we propose to share user data only. We consider a system where blind interference alignment (BIA) is applied to serve multiple users in each cell. We apply interference coordination through data sharing to mitigate other-cell interference at the cell-edge users. While BIA mitigates intra-cell interference in MU-MISO systems, it does not address the problem of inter-cell interference. We apply interference coordination through data sharing to mitigate inter-cell interference at the cell-edge users. We propose a new cooperative BIA scheme that takes into account the users whose data is being shared between adjacent base stations. We derive the achievable sum rate with interference mitigation and we compare it to achievable rates with the original BIA strategy. Numerical results show that the achievable sum rate of the cell-edge users with data sharing decreases with increasing number of served users in each cell and increasing number of antennas at the base stations.

International audience; We address the issue of maximizing the number of connected devices in a Narrowband Internet of Things (NB-IoT) network using non-orthogonal multiple access (NOMA). The scheduling assignment is done on a per-transmit time interval (TTI) basis and focuses on efficient device clustering. We formulate the problem as a combinatorial optimization problem and solve it under interference, rate and sub-carrier availability constraints. We first present the bottom-up power filling algorithm (BU), which solves the problem given that each device can only be allocated contiguous sub-carriers. Then, we propose the item clustering heuristic (IC) which tackles the more general problem of non-contiguous allocation. The novelty of our optimization framework is twofold. First, it allows any number of devices to be multiplexed per sub-carrier, which is based on the successive interference cancellation (SIC) capabilities of the network. Secondly, whereas most existing works only consider contiguous sub-carrier allocation, we also study the performance of allocating non-contiguous sub-carriers to each device. We show through extensive simulations that non-contiguous allocation through IC scheme can outperform BU and other existing contiguous allocation methods.