Communication Systems and Networks: 10th International Conference, COMSNETS 2018, Bangalore, India, January 3-7, 2018, Extended Selected Papers

300 Pages·2019·34.37 MB·English

by  Subir Biswas

Subir Biswas · Animesh Mukherjee
Mun Choon Chan · Sandip Chakraborty
Abhinav Kumar · Giridhar Mandyam
Rajeev Shorey (Eds.)
7
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1 Communication Systems
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and Networks
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10th International Conference, COMSNETS 2018
Bangalore, India, January 3–7, 2018
Extended Selected Papers
123
Lecture Notes in Computer Science 11227
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Indian Institute of Technology Madras, Chennai, India
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Subir Biswas Animesh Mukherjee
(cid:129)
Mun Choon Chan Sandip Chakraborty
(cid:129)
Abhinav Kumar Giridhar Mandyam
(cid:129)
Rajeev Shorey (Eds.)
Communication Systems
and Networks
10th International Conference, COMSNETS 2018
–
Bangalore, India, January 3 7, 2018
Extended Selected Papers
123
Editors
Subir Biswas Abhinav Kumar
Michigan State University Indian Institute of Technology Hyderabad
EastLansing, MI,USA Kandi, India
AnimeshMukherjee Giridhar Mandyam
Indian Institute of Technology QualcommInc.
Kharagpur, India SanDiego, CA, USA
MunChoonChan Rajeev Shorey
National University ofSingapore TataConsultancy Services
Singapore, Singapore Bangalore, India
SandipChakraborty
Indian Institute of Technology
Kharagpur, India
ISSN 0302-9743 ISSN 1611-3349 (electronic)
Lecture Notesin Computer Science
ISBN 978-3-030-10658-4 ISBN978-3-030-10659-1 (eBook)
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Preface
Following a successful tenth edition of the International Conference on Communica-
tion Systems and Networks (COMSNETS) in January 2018, this book of proceedings
records the highlights of the conference. COMSNETS 2018 had 134 submissions. Of
these, 30 high-quality papers were chosen, after a rigorous review by a 90-strong
Program Committee, leading to 15 sessions over two parallel tracks in the program.
Thisbookcontainsthe12bestpapersoriginallypresentedduringthemaintechnical
program. These papers were significantly extended and reviewed again for this high-
lights edition.
October 2018 Subir Biswas
Animesh Mukherjee
Mun Choon Chan
Sandip Chakraborty
Abhinav Kumar
Giridhar Mandyam
Rajeev Shorey
Contents
ImprovedPhysicalDownlinkControlChannelfor3GPP MassiveMachine
Type Communications. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1
M. Pavan Reddy, G. Santosh, Abhinav Kumar, and Kiran Kuchi
Implementation of Energy Efficient WBAN Using IEEE 802.15.6
Scheduled Access MAC with Fast DWT Based Backhaul Data
Compression for e-Healthcare. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26
Tanumay Manna and Iti Saha Misra
Leveraging SDN for Early Detection and Mitigation of DDoS Attacks . . . . . 52
Neelam Dayal and Shashank Srivastava
Use of Facial Landmarks for Adaptive Compression of Videos
on Mobile Devices . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76
Garima Chhikara, Ruchika Banerjee, Vinayak Naik,
A. V. Subramanyam, and Kuntal Dey
PKHSN: A Bilinear Pairing Based Key Management Scheme
for Heterogeneous Sensor Networks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 102
Madhurima Buragohain and Nityananda Sarma
mINCARNATE: An Interference and Mobility Aware Spatial Scheme
for Tightly Coupled LTE–Wi-Fi Networks. . . . . . . . . . . . . . . . . . . . . . . . . 126
Sumanta Patro, Thomas Valerrian Pasca Santhappan,
Bheemarjuna Reddy Tamma, and A. Antony Franklin
A Directional Medium Access Control Protocol for 5G Millimeter-Wave
Local Area Networks. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 150
Bharadwaj Satchidanandan, Simon Yau, Siva Santosh Ganji,
P. R. Kumar, Ahsan Aziz, Amal Ekbal, and Nikhil Kundargi
Pricing and Commission in Two-Sided Markets with Free Upgrades. . . . . . . 172
Mansi Sood, Sharayu Moharir, and Ankur A. Kulkarni
On the Impact of Duty Cycled LTE-U on Wi-Fi Users:
An Experimental Study . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 196
Anand M. Baswade, Touheed Anwar Atif, Bheemarjuna Reddy Tamma,
and A. Antony Franklin
NeMoI: Network Mobility in ICN. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 220
Sripriya Adhatarao, Mayutan Arumaithurai, Dirk Kutscher,
and Xiaoming Fu
VIII Contents
Game Theory Based Network Partitioning Approaches for Controller
Placement in SDN. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 245
Bala Prakasa Rao Killi, Ellore Akhil Reddy,
and Seela Veerabhadreswara Rao
User Response Based Recommendations . . . . . . . . . . . . . . . . . . . . . . . . . . 268
Salman Memon, Veeraruna Kavitha, Manjesh K. Hanawal,
Eitan Altman, and R. Devanand
Author Index . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 293
Improved Physical Downlink Control
Channel for 3GPP Massive Machine Type
Communications
B
M. Pavan Reddy( ), G. Santosh, Abhinav Kumar, and Kiran Kuchi
Indian Institute of Technology Hyderabad, Hyderabad 502285, India
{ee14resch11005,ee12m1018,abhinavkumar,kkuchi}@iith.ac.in
Abstract. To provide cellular connectivity to massive machine type
communications, 3rd Generation Partnership Project (3GPP) has come
up with an enhanced machine type communications (eMTC) standard.
The eMTC is a low power wide area network technology. It can cater
to the needs of massive MTC devices providing voice support, required
data rates, low latency, wide area coverage, and mobility. The eMTC is
built on LTE framework and necessary modifications are made as per
the requirements of MTC. A chunk of 1.4 MHz from the LTE band-
width is required to deploy eMTC. Similar to LTE, delivering Down-
link Control Information (DCI) to end devices is crucial in eMTC. The
DCI carries information about modulation and coding scheme, uplink
grant,andschedulingofdownlinkresources.TheDCIofmultipleeMTC
devices are multiplexed over a region of time and frequency resources.
Hence, the eMTC devices have to blindly decode this control channel
region.SignificantcomputationalpowerisrequiredfromaneMTCdevice
to decode this region. This paper explains the processes involved in the
deliveryofDCIforeMTC.Weproposeanovelmappingofrepetitionand
aggregation level to each eMTC device based on the available channel
state information. We identify the under utilization of the time and fre-
quencyresourcesintheexistingeMTCschemeusedforratematchingthe
DCI information bits. We present system level simulations considering
theproposednovelmapping.Further,throughextensivesimulationsand
hardware emulations, we show that the proposed rate matching scheme
results in significant improvement in performance as compared to the
existing scheme.
·
Keywords: Blind decoding Control channel
·
Machine type communications Physical downlink control channel
Rate matching
1 Introduction
Enhanced machine type communications (eMTC) has recently been introduced
bythe3rd GenerationPartnershipProject(3GPP)toprovidecellularconnectiv-
ity to massive MTC devices [2,3,5]. The major challenge in eMTC is to provide
(cid:2)c SpringerNatureSwitzerlandAG2019
S.Biswasetal.(Eds.):COMSNETS2018,LNCS11227,pp.1–25,2019.
https://doi.org/10.1007/978-3-030-10659-1_1
2 M. Pavan Reddy et al.
coveragetomassivenumberofeMTCdevicesoperatingatmuchlowersignal-to-
noiseratios(SNRs)ascomparedtotheexistinglongtermevolution(LTE)based
cellular networks. The eMTC technology can be deployed on a much smaller
bandwidthoftheexistingLTEnetworkinfrastructuretocaterthegrowingneeds
of Internet-of-things (IoT) based devices. The technical specifications of eMTC
are under development. The eMTC devices (also termed as LTE-M devices) are
expectedtohaveacoveragegainof21dBascomparedtothelegacyLTEdevice.
This wider coverage has to be supported without increasing the base station’s
transmit power and the end device’s maximum transmit power must be limited
to20dBmascomparedto23dBmforalegacyLTEdevice[4].Thus,theeMTC
has to provide larger coverage along with lower power consumption at the end
devicemakingitasuitabletechnologyforthelowpowerIoTapplications[1,13].
The cell search and synchronization procedures for eMTC devices are sim-
ilar to LTE. However, eMTC has fewer physical downlink channels than LTE
as follows. The eMTC has a physical broadcast channel (PBCH) to carry the
broadcastinformationforthedevicestryingtoaccessthenetwork,anM-physical
downlinkcontrolchannel(MPDCCH)tocarrythedownlinkcontrolinformation
(DCI), and a physical downlink shared channel (PDSCH) to carry the downlink
data for the eMTC devices. Repetitions have been introduced in the eMTC for
thedatacarriedinthesephysical channels toenhancethecoverage area. Hence,
thesecontrolandsharedchannelproceduresineMTCaremodifiedascompared
to the LTE. In this work, we focus on the MPDCCH.
In MPDCCH, the DCI is a set of bits transmitted to convey the information
required by the eMTC devices for decoding their data and finding resources for
uplinktransmissions[2].TheDCIsofdifferentdevicesaremultiplexedandtrans-
mittedinMPDCCH.ADCIisrepeatedtoachieveapre-determinedlengthcalled
theaggregationlevel(AL).ThesizeofDCIbitsvarydependingontheinforma-
tion being carried. InLTE, as size of DCIinformation bits is not known a-priori
to the LTE device, it tries to decode the DCI blocks/aggregation levels received
by blindly searching for all possible combinations (termed as blind decoding in
the literature). In the eMTC specifications [2], to simplify this complex decod-
ing procedure, different DCI sizes have been unified to the maximum possible
DCI size by padding zeros. Then, these maximum sized DCIs are repeated to
form ALs. This ensures that an eMTC device need not search for all possible
DCIlengths.However,duringthisprocess,thetimeandfrequencyresourcesare
underutilized.Fore.g.,withaDCIrepeatedover256subframesandaggregation
levelof24,amaximumof62subframescanpotentiallybeleftunused(adetailed
example is available in Sect.3.9). For atechnology that targets to servemassive
number of devices per cell, this is a highly inefficient way of utilizing resources.
To overcome this problem without violating the device decoding complexity as
perthespecifications[12],weproposeanovelandefficientratematchingscheme
that unifies DCI sizes and results in better performance.
The contributions of this work are as follows. We explain the MPDCCH in
detailasperthe3GPPstandard[2,3,5].Weidentifythelimitationsoftheexist-
ingratematchingschemeforeMTC.Motivatedbytheunderutilizedresourcesin