296 research outputs found
Energy-Efficient Resource Allocation Optimization for Multimedia Heterogeneous Cloud Radio Access Networks
The heterogeneous cloud radio access network (H-CRAN) is a promising paradigm
which incorporates the cloud computing into heterogeneous networks (HetNets),
thereby taking full advantage of cloud radio access networks (C-RANs) and
HetNets. Characterizing the cooperative beamforming with fronthaul capacity and
queue stability constraints is critical for multimedia applications to
improving energy efficiency (EE) in H-CRANs. An energy-efficient optimization
objective function with individual fronthaul capacity and inter-tier
interference constraints is presented in this paper for queue-aware multimedia
H-CRANs. To solve this non-convex objective function, a stochastic optimization
problem is reformulated by introducing the general Lyapunov optimization
framework. Under the Lyapunov framework, this optimization problem is
equivalent to an optimal network-wide cooperative beamformer design algorithm
with instantaneous power, average power and inter-tier interference
constraints, which can be regarded as the weighted sum EE maximization problem
and solved by a generalized weighted minimum mean square error approach. The
mathematical analysis and simulation results demonstrate that a tradeoff
between EE and queuing delay can be achieved, and this tradeoff strictly
depends on the fronthaul constraint
A cross-layer scheduling strategy for the downlink of a MIMO-OFDMA system with heterogeneous traffic
in this paper we propose and investigate a cross-layer
multiuser scheduling strategy for the support of heterogeneous traffic in
the downlink of a MIMO-OFDMA system. It jointly considers different
objectives: maximize the sum-rate on the radio channel, ensure a fair
allocation of resources among users belonging to the same traffic class,
consider the dynamics of traffic sources by looking at the delay of
data packets in the queues, contribute to maximize quality of service
figures at the application level. To exploit temporal diversity and to
reduce complexity, the ergodic weighted sum-rate is maximized and dual
optimization with stochastic approximation is applied to derive on-line
algorithms. The numerical results show the capability of the scheduler
to allocate physical layer resources according to rate constraints imposed
for each different traffic class and with fairness inside each class, even
in presence of different channels conditions and different network loads.Postprint (published version
Eficiência energética avançada para sistema OFDMA CoMP coordenação multiponto
Doutoramento em Engenharia EletrotécnicaThe ever-growing energy consumption in mobile networks stimulated by
the expected growth in data tra ffic has provided the impetus for mobile
operators to refocus network design, planning and deployment towards reducing
the cost per bit, whilst at the same time providing a signifi cant step
towards reducing their operational expenditure. As a step towards incorporating
cost-eff ective mobile system, 3GPP LTE-Advanced has adopted the
coordinated multi-point (CoMP) transmission technique due to its ability
to mitigate and manage inter-cell interference (ICI). Using CoMP the cell
average and cell edge throughput are boosted. However, there is room for
reducing energy consumption further by exploiting the inherent
exibility of
dynamic resource allocation protocols. To this end packet scheduler plays
the central role in determining the overall performance of the 3GPP longterm
evolution (LTE) based on packet-switching operation and provide a
potential research playground for optimizing energy consumption in future
networks. In this thesis we investigate the baseline performance for down
link CoMP using traditional scheduling approaches, and subsequently go
beyond and propose novel energy e fficient scheduling (EES) strategies that
can achieve power-e fficient transmission to the UEs whilst enabling both
system energy effi ciency gain and fairness improvement. However, ICI can
still be prominent when multiple nodes use common resources with di fferent
power levels inside the cell, as in the so called heterogeneous networks (Het-
Net) environment. HetNets are comprised of two or more tiers of cells. The
rst, or higher tier, is a traditional deployment of cell sites, often referred
to in this context as macrocells. The lower tiers are termed small cells, and
can appear as microcell, picocells or femtocells. The HetNet has attracted
signiffi cant interest by key manufacturers as one of the enablers for high
speed data at low cost. Research until now has revealed several key hurdles
that must be overcome before HetNets can achieve their full potential:
bottlenecks in the backhaul must be alleviated, as well as their seamless
interworking with CoMP. In this thesis we explore exactly the latter hurdle,
and present innovative ideas on advancing CoMP to work in synergy with
HetNet deployment, complemented by a novel resource allocation policy
for HetNet tighter interference management. As system level simulator has
been used to analyze the proposed algorithm/protocols, and results have
concluded that up to 20% energy gain can be observed.O aumento do consumo de energia nas TICs e em particular nas redes de
comunicação móveis, estimulado por um crescimento esperado do tráfego de
dados, tem servido de impulso aos operadores m oveis para reorientarem os
seus projectos de rede, planeamento e implementa ção no sentido de reduzir
o custo por bit, o que ao mesmo tempo possibilita um passo signicativo no
sentido de reduzir as despesas operacionais. Como um passo no sentido de
uma incorporação eficaz em termos destes custos, o sistema móvel 3GPP
LTE-Advanced adoptou a técnica de transmissão Coordenação Multi-Ponto
(identificada na literatura com a sigla CoMP) devido à sua capacidade de
mitigar e gerir Interferência entre Células (sigla ICI na literatura). No entanto
a ICI pode ainda ser mais proeminente quando v arios n os no interior
da célula utilizam recursos comuns com diferentes níveis de energia,
como acontece nos chamados ambientes de redes heterogéneas (sigla Het-
Net na literatura). As HetNets são constituídas por duas ou mais camadas
de células. A primeira, ou camada superiora, constitui uma implantação
tradicional de sítios de célula, muitas vezes referidas neste contexto como
macrocells. Os níveis mais baixos são designados por células pequenas, e
podem aparecer como microcells, picocells ou femtocells. A HetNet tem
atra do grande interesse por parte dos principais fabricantes como sendo
facilitador para transmissões de dados de alta velocidade a baixo custo. A
investigação tem revelado at e a data, vários dos principais obstáculos que
devem ser superados para que as HetNets possam atingir todo o seu potencial:
(i) os estrangulamentos no backhaul devem ser aliviados; (ii) bem
como sua perfeita interoperabilidade com CoMP. Nesta tese exploramos
este ultimo constrangimento e apresentamos ideias inovadoras em como a
t ecnica CoMP poder a ser aperfeiçoada por forma a trabalhar em sinergia
com a implementação da HetNet, complementado ainda com uma nova
perspectiva na alocação de recursos rádio para um controlo e gestão mais
apertado de interferência nas HetNets. Com recurso a simulação a níível de
sistema para analisar o desempenho dos algoritmos e protocolos propostos,
os resultados obtidos concluíram que ganhos at e a ordem dos 20% poderão
ser atingidos em termos de eficiência energética
Review on Radio Resource Allocation Optimization in LTE/LTE-Advanced using Game Theory
Recently, there has been a growing trend toward ap-plying game theory (GT) to various engineering fields in order to solve optimization problems with different competing entities/con-tributors/players. Researches in the fourth generation (4G) wireless network field also exploited this advanced theory to overcome long term evolution (LTE) challenges such as resource allocation, which is one of the most important research topics. In fact, an efficient de-sign of resource allocation schemes is the key to higher performance. However, the standard does not specify the optimization approach to execute the radio resource management and therefore it was left open for studies. This paper presents a survey of the existing game theory based solution for 4G-LTE radio resource allocation problem and its optimization
A Survey on Multi-AP Coordination Approaches over Emerging WLANs: Future Directions and Open Challenges
Recent advancements in wireless local area network (WLAN) technology include
IEEE 802.11be and 802.11ay, often known as Wi-Fi 7 and WiGig, respectively. The
goal of these developments is to provide Extremely High Throughput (EHT) and
low latency to meet the demands of future applications like as 8K videos,
augmented and virtual reality, the Internet of Things, telesurgery, and other
developing technologies. IEEE 802.11be includes new features such as 320 MHz
bandwidth, multi-link operation, Multi-user Multi-Input Multi-Output,
orthogonal frequency-division multiple access, and Multiple-Access Point
(multi-AP) coordination (MAP-Co) to achieve EHT. With the increase in the
number of overlapping APs and inter-AP interference, researchers have focused
on studying MAP-Co approaches for coordinated transmission in IEEE 802.11be,
making MAP-Co a key feature of future WLANs. Moreover, similar issues may arise
in EHF bands WLAN, particularly for standards beyond IEEE 802.11ay. This has
prompted researchers to investigate the implementation of MAP-Co over future
802.11ay WLANs. Thus, in this article, we provide a comprehensive review of the
state-of-the-art MAP-Co features and their shortcomings concerning emerging
WLAN. Finally, we discuss several novel future directions and open challenges
for MAP-Co.Comment: The reason for the replacement of the previous version of the paper
is due to a change in the author's list. As a result, a new version has been
created, which serves as the final draft version before acceptance. This
updated version contains all the latest changes and improvements made to the
pape
Energy Efficient Delay Sensitive Optimization in SWIPT-MIMO
In this paper, we consider joint antenna selection and optimal beamforming
for energy efficient delay minimization. We assume multiple-input multi-output
(MIMO) system with full duplex simultaneous wireless information and power
transfer (FD-SWIPT) where each sensor is equipped with a power splitting (PS)
system and can simultaneously receive both energy and information from the
aggregator (AGG). We show that the antenna selection and beamforming power
control policies are adaptive to the energy state information (ESI), the queue
state information (QSI) and the channel state information (CSI). We develop an
analytical framework for energy efficient delay-optimal control problem based
on the theory of infinite horizon partially observable Markov decision process
(POMDP). The infinite-horizon POMDP problem is transformed into an equivalent
value Bellman program and solved by near-optimal point-based Heuristic Search
Value Iteration (PB-HSVI) method under specific standard conditions. The
proposed solution outcome is a set of sub-optimal antenna selection and
beamforming control policies. Simulation results reveal an effective trade-off
between the contradictory objectives (i.e. delay and power consumption) and
show the enhancement in delay by using FD-SWIPT systems in comparison to Half
Duplex (HD)-SWIPT systems
- …