34,886 research outputs found
Energy-saving Resource Allocation by Exploiting the Context Information
Improving energy efficiency of wireless systems by exploiting the context
information has received attention recently as the smart phone market keeps
expanding. In this paper, we devise energy-saving resource allocation policy
for multiple base stations serving non-real-time traffic by exploiting three
levels of context information, where the background traffic is assumed to
occupy partial resources. Based on the solution from a total energy
minimization problem with perfect future information,a context-aware BS
sleeping, scheduling and power allocation policy is proposed by estimating the
required future information with three levels of context information.
Simulation results show that our policy provides significant gains over those
without exploiting any context information. Moreover, it is seen that different
levels of context information play different roles in saving energy and
reducing outage in transmission.Comment: To be presented at IEEE PIMRC 2015, Hong Kong. This work was
supported by National Natural Science Foundation of China under Grant
61120106002 and National Basic Research Program of China under Grant
2012CB31600
Distributed Energy and Resource Management for Full-Duplex Dense Small Cells for 5G
We consider a multi-carrier and densely deployed small cell network, where
small cells are powered by renewable energy source and operate in a full-duplex
mode. We formulate an energy and traffic aware resource allocation optimization
problem, where a joint design of the beamformers, power and sub-carrier
allocation, and users scheduling is proposed. The problem minimizes the sum
data buffer lengths of each user in the network by using the harvested energy.
A practical uplink user rate-dependent decoding energy consumption is included
in the total energy consumption at the small cell base stations. Hence,
harvested energy is shared with both downlink and uplink users. Owing to the
non-convexity of the problem, a faster convergence sub-optimal algorithm based
on successive parametric convex approximation framework is proposed. The
algorithm is implemented in a distributed fashion, by using the alternating
direction method of multipliers, which offers not only the limited information
exchange between the base stations, but also fast convergence. Numerical
results advocate the redesigning of the resource allocation strategy when the
energy at the base station is shared among the downlink and uplink
transmissions.Comment: In Proc. of IEEE IWCMC-2017, Valencia, Spain, Jun. 201
Advanced Radio Resource Management for Multi Antenna Packet Radio Systems
In this paper, we propose fairness-oriented packet scheduling (PS) schemes
with power-efficient control mechanism for future packet radio systems. In
general, the radio resource management functionality plays an important role in
new OFDMA based networks. The control of the network resource division among
the users is performed by packet scheduling functionality based on maximizing
cell coverage and capacity satisfying, and certain quality of service
requirements. Moreover, multiantenna transmit-receive schemes provide
additional flexibility to packet scheduler functionality. In order to mitigate
inter-cell and co-channel interference problems in OFDMA cellular networks soft
frequency reuse with different power masks patterns is used. Stemming from the
earlier enhanced proportional fair scheduler studies for single-input
multiple-output (SIMO) and multiple-input multipleoutput (MIMO) systems, we
extend the development of efficient packet scheduling algorithms by adding
transmit power considerations in the overall priority metrics calculations and
scheduling decisions. Furthermore, we evaluate the proposed scheduling schemes
by simulating practical orthogonal frequency division multiple access (OFDMA)
based packet radio system in terms of throughput, coverage and fairness
distribution among users. As a concrete example, under reduced overall transmit
power constraint and unequal power distribution for different sub-bands, we
demonstrate that by using the proposed power-aware multi-user scheduling
schemes, significant coverage and fairness improvements in the order of 70% and
20%, respectively, can be obtained, at the expense of average throughput loss
of only 15%.Comment: 14 Pages, IJWM
Uplink packet scheduling in cellular networks with relayingâcomparative study
Deployment of intermediate relay nodes in cellular networks, e.g. UMTS/ HSPA, has been proposed for service enhancement, which is of particular importance for uplink users at the cell edge suffering from low power capacity and relatively poor channel conditions. In this paper, we propose and investigate a number of uplink packet scheduling schemes deploying the relay functionality in different ways. Using a combined packet and flow level analysis capturing the specifics of the scheduling schemes and the random behavior of the users (initiation and completion of flow transfers), the performance of the various schemes is evaluated and compared to a reference scenario where relaying is not used. The main performance measures considered in our study are realized data rates and mean flow transfer times. Interestingly, considering flow transfer times, it is found that the use of relay nodes is not only particularly beneficial for users at the cell edge but also has a strong, positive effect on the performance of users at other locations not transmitting via a relay node
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