An Energy Efficient Semi-static Power Control and Link Adaptation Scheme in UMTS HSDPA

High speed downlink packet access (HSDPA) has been successfully applied in commercial systems and improves user experience significantly. However, it incurs substantial energy consumption. In this paper, we address this issue by proposing a novel energy efficient semi-static power control and link adaptation scheme in HSDPA. Through estimating the EE under different modulation and coding schemes (MCSs) and corresponding transmit power, the proposed scheme can determine the most energy efficient MCS level and transmit power at the Node B. And then the Node B configure the optimal MCS level and transmit power. In order to decrease the signaling overhead caused by the configuration, a dual trigger mechanism is employed. After that, we extend the proposed scheme to the multiple input multiple output (MIMO) scenarios. Simulation results confirm the significant EE improvement of our proposed scheme. Finally, we give a discussion on the potential EE gain and challenge of the energy efficient mode switching between single input multiple output (SIMO) and MIMO configuration in HSDPA.Comment: 9 pages, 11 figures, accepted in EURASIP Journal on Wireless Communications and Networking, special issue on Green Radi

Energy-Efficient Heterogeneous Cellular Networks with Spectrum Underlay and Overlay Access

In this paper, we provide joint subcarrier assignment and power allocation schemes for quality-of-service (QoS)-constrained energy-efficiency (EE) optimization in the downlink of an orthogonal frequency division multiple access (OFDMA)-based two-tier heterogeneous cellular network (HCN). Considering underlay transmission, where spectrum-efficiency (SE) is fully exploited, the EE solution involves tackling a complex mixed-combinatorial and non-convex optimization problem. With appropriate decomposition of the original problem and leveraging on the quasi-concavity of the EE function, we propose a dual-layer resource allocation approach and provide a complete solution using difference-of-two-concave-functions approximation, successive convex approximation, and gradient-search methods. On the other hand, the inherent inter-tier interference from spectrum underlay access may degrade EE particularly under dense small-cell deployment and large bandwidth utilization. We therefore develop a novel resource allocation approach based on the concepts of spectrum overlay access and resource efficiency (RE) (normalized EE-SE trade-off). Specifically, the optimization procedure is separated in this case such that the macro-cell optimal RE and corresponding bandwidth is first determined, then the EE of small-cells utilizing the remaining spectrum is maximized. Simulation results confirm the theoretical findings and demonstrate that the proposed resource allocation schemes can approach the optimal EE with each strategy being superior under certain system settings

Improving Energy Efficiency Through Multimode Transmission in the Downlink MIMO Systems

Adaptively adjusting system parameters including bandwidth, transmit power and mode to maximize the "Bits per-Joule" energy efficiency (BPJ-EE) in the downlink MIMO systems with imperfect channel state information at the transmitter (CSIT) is considered in this paper. By mode we refer to choice of transmission schemes i.e. singular value decomposition (SVD) or block diagonalization (BD), active transmit/receive antenna number and active user number. We derive optimal bandwidth and transmit power for each dedicated mode at first. During the derivation, accurate capacity estimation strategies are proposed to cope with the imperfect CSIT caused capacity prediction problem. Then, an ergodic capacity based mode switching strategy is proposed to further improve the BPJ-EE, which provides insights on the preferred mode under given scenarios. Mode switching compromises different power parts, exploits the tradeoff between the multiplexing gain and the imperfect CSIT caused inter-user interference, improves the BPJ-EE significantly.Comment: 19 pages, 10 figures, EURASIP Journal on Wireless Communications and Networking; EURASIP Journal on Wireless Communications and Networking (2011) 2011:20

Energy-Efficient Heterogeneous Cellular Networks with Spectrum Underlay and Overlay Access

IEEE In this paper, we provide joint subcarrier assignment and power allocation schemes for quality-of-service (QoS)-constrained energy-efficiency (EE) optimization in the downlink of an orthogonal frequency division multiple access (OFDMA)-based two-tier heterogeneous cellular network (HCN). Considering underlay transmission, where spectrum-efficiency (SE) is fully exploited, the EE solution involves tackling a complex mixed-combinatorial and non-convex optimization problem. With appropriate decomposition of the original problem and leveraging on the quasi-concavity of the EE function, we propose a dual-layer resource allocation approach and provide a complete solution using difference-of-two-concave-functions approximation, successive convex approximation and gradient-search method. On the other hand, the inherent inter-tier interference from spectrum underlay access may degrade EE particularly under dense small-cell deployment and large bandwidth utilization. We therefore develop a novel resource allocation approach based on the concepts of spectrum overlay access and resource efficiency (RE) (normalized EE-SE trade-off). Specifically, the optimization procedure is separated where the macro-cell optimal RE and the corresponding bandwidth is first determined, then the EE of small-cells utilizing the remaining spectrum is maximized. Simulation results confirm the theoretical findings and demonstrate that the proposed resource allocation schemes can approach the optimal EE with each strategy being superior under certain system settings

Nouvelle méthode d'estimation des différences de temps d'arrivée pour la localisation des objets connectés haut débit

The forthcoming vision of Internet of Things (IoT) and Internet of Everything (IoE) will immerse people in so-called Smart Environments involving a great number of sectors of applications such as smart habitat, smart-cities, environment monitoring, e-health… IoT and IoE tend to make everyday objects readable, recognizable, locatable, addressable and controllable via the widespread wireless deployment and the internet. Among these capabilities, localization and more extensively the ubiquitous positioning will play, in the next future, a key role to promote another emerging vision: a spatio-temporal Internet of Places (IoP), which would be able to structure and organize, by means of wireless energy aware approaches, the spatial content of Internet. It is well known that in wireless local and personal area networks, the spectrum congestion, the low energy efficiency communications and the insufficient exploitation of the spatial resources are among the factors that may slow down its development in terms of throughput and autonomy. To overcome these unavoidable restrictions, wireless localization technology, as the mechanism for discovering spatio-temporal relationship between connected objects, appears here also as one of the key solutions. This is because dedicated localization techniques in wireless communication can help in developing more extensively the exploitation of spatial resources and allow driving optimized routing for low energy multi-hop communication and spectrum decongestion for Green ICT (Information and Communication Technology). To propose optimized systems achieving both high data rate communication and precise localization, we define a well suited TDOA (Time Difference of Arrival) based method able to perform localization based on communication signals and data only. With this technique, unlike conventional TDOA estimations, it is possible to drastically decrease the complexity of required infrastructures by using either SIMO (Single Input Multiple Output), MISO (Multiple Input Single Output) or MIMO (Multiple Input Multiple Output) configurations in connected objects. This whole study is made within the framework of the IEEE 802.11ad standard and WiGig alliance specifications, however the proposed solutions are compatible with other standards and can be extended to other context aware applications requiring localization inputs such as robotics for example or smart shopping...La vision future de l'internet des objets (IdO) et Internet du Tout (OIE) plongera les personnes soi-disant environnements intelligents impliquant un grand nombre de secteurs d'applications telles que l'habitat intelligent, smart-villes, surveillance de l'environnement, l'e-santé ... IdO et l'OIE ont tendance à faire des objets du quotidien lisible, identifiable, localisable, adressable et contrôlable via le déploiement sans fil généralisée et l'Internet. Parmi ces capacités, la localisation et plus largement le positionnement omniprésente joueront, dans un proche avenir, un rôle clé pour promouvoir une autre vision émergente: un Internet spatio-temporelle des lieux (IoP), qui serait en mesure de structurer et d'organiser, par des moyens des approches sans fil d'énergie savez, le contenu spatial d'Internet. Il est bien connu que dans les réseaux locaux sans fil et personnelles, l'encombrement du spectre, les communications à faible efficacité énergétique et l'exploitation insuffisante des ressources spatiales sont parmi les facteurs qui peuvent ralentir son développement en termes de débit et de l'autonomie. Pour surmonter ces restrictions inévitables, la technologie de localisation sans fil, comme le mécanisme pour découvrir relation spatio-temporelle entre les objets connectés, apparaît ici aussi comme une des solutions clés. Ce est parce que les techniques de localisation dédiés à la communication sans fil peuvent aider à développer plus largement l'exploitation des ressources spatiales et de permettre la conduite routage optimisé pour une faible énergie communication multi-hop et la décongestion du spectre pour Green ICT (Information et Communication Technology). Pour proposer des systèmes optimisés atteindre à la fois la communication des taux de données élevés et la localisation précise, nous définissons un TDOA bien adapté (Time Difference of Arrival) méthode basée en mesure d'effectuer la localisation basée sur des signaux de communication et de données seulement. Avec cette technique, contrairement estimations TDOA classiques, il est possible de diminuer considérablement la complexité des infrastructures nécessaires en utilisant des configurations SIMO (Single Input Multiple Output), MISO (Multiple Input Single Output) ou MIMO (Multiple Input Multiple Output) dans les objets connectés . Toute cette étude est faite dans le cadre de l'IEEE 802.11ad spécifications de l'alliance standard et WiGig, mais les solutions proposées sont compatibles avec d'autres normes et peuvent être étendues à d'autres applications de contexte courant nécessitant entrées de localisation tels que la robotique par exemple ou de shopping intelligent..

Intelligent and Efficient Ultra-Dense Heterogeneous Networks for 5G and Beyond

Ultra-dense heterogeneous network (HetNet), in which densified small cells overlaying the conventional macro-cells, is a promising technique for the fifth-generation (5G) mobile network. The dense and multi-tier network architecture is able to support the extensive data traffic and diverse quality of service (QoS) but meanwhile arises several challenges especially on the interference coordination and resource management. In this thesis, three novel network schemes are proposed to achieve intelligent and efficient operation based on the deep learning-enabled network awareness. Both optimization and deep learning methods are developed to achieve intelligent and efficient resource allocation in these proposed network schemes. To improve the cost and energy efficiency of ultra-dense HetNets, a hotspot prediction based virtual small cell (VSC) network is proposed. A VSC is formed only when the traffic volume and user density are extremely high. We leverage the feature extraction capabilities of deep learning techniques and exploit a long-short term memory (LSTM) neural network to predict potential hotspots and form VSC. Large-scale antenna array enabled hybrid beamforming is also adaptively adjusted for highly directional transmission to cover these VSCs. Within each VSC, one user equipment (UE) is selected as a cell head (CH), which collects the intra-cell traffic using the unlicensed band and relays the aggregated traffic to the macro-cell base station (MBS) in the licensed band. The inter-cell interference can thus be reduced, and the spectrum efficiency can be improved. Numerical results show that proposed VSCs can reduce $55\%$ power consumption in comparison with traditional small cells. In addition to the smart VSCs deployment, a novel multi-dimensional intelligent multiple access (MD-IMA) scheme is also proposed to achieve stringent and diverse QoS of emerging 5G applications with disparate resource constraints. Multiple access (MA) schemes in multi-dimensional resources are adaptively scheduled to accommodate dynamic QoS requirements and network states. The MD-IMA learns the integrated-quality-of-system-experience (I-QoSE) by monitoring and predicting QoS through the LSTM neural network. The resource allocation in the MD-IMA scheme is formulated as an optimization problem to maximize the I-QoSE as well as minimize the non-orthogonality (NO) in view of implementation constraints. In order to solve this problem, both model-based optimization algorithms and model-free deep reinforcement learning (DRL) approaches are utilized. Simulation results demonstrate that the achievable I-QoSE gain of MD-IMA over traditional MA is $15\%$ - $18\%$. In the final part of the thesis, a Software-Defined Networking (SDN) enabled 5G-vehicle ad hoc networks (VANET) is designed to support the growing vehicle-generated data traffic. In this integrated architecture, to reduce the signaling overhead, vehicles are clustered under the coordination of SDN and one vehicle in each cluster is selected as a gateway to aggregate intra-cluster traffic. To ensure the capacity of the trunk-link between the gateway and macro base station, a Non-orthogonal Multiplexed Modulation (NOMM) scheme is proposed to split aggregated data stream into multi-layers and use sparse spreading code to partially superpose the modulated symbols on several resource blocks. The simulation results show that the energy efficiency performance of proposed NOMM is around 1.5-2 times than that of the typical orthogonal transmission scheme