The millimeter-wave (mmWave) technology suffers from several issues such as blockage by solid material and absorption by oxygen or rain. These issues cause degradation in TCP performance, where many packets are dropped. Retransmission for the packet drops will be required to receive the whole segments of data. This paper focuses on the side effects of congestion and link errors over TCP performance in the mmWave environment. This study proposes two mechanisms to enhance the conventional TCP Congestion Control Algorithm (CCA) through Additive Increase/Multiplicative Decrease (AIMD) approach. Firstly, the proposed method exploits the Additive Increase (AI) phase to stay in a stable state as long as possible. Secondly, the proposed method uses a Multiplicative Decrease (MD) phase to prevent the congestion window (cwnd) to be reduced. The proposed TCP enhancement will be compared with the default TCP-CCA. The evaluation of the proposed TCP enhancement is conducted in ns-3. The simulation results confirm that the proposed method refines cwnd up to 14% of in comparison with default TCP.

1.
R.
Poorzare
and
A. C.
Augé
, “
How Sufficient is TCP When Deployed in 5G mmWave Networks Over the Urban Deployment?
,” in
IEEE Access
, vol.
9
, pp.
36342
36355
,
2021
, DOI: .
2.
Na
,
Woongsoo
 et al “
Congestion control vs. link failure: TCP behavior in mmWave connected vehicular networks
.”
Future Gener. Comput. Syst.
101
(
2019
):
1213
1222
.
3.
M.
Polese
,
R.
Jana
and
M.
Zorzi
, “
TCP in 5G mmWave networks: Link level retransmissions and MP-TCP
,”
2017 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)
,
Atlanta, GA
,
2017
, pp.
343
348
, DOI: .
4.
X.
Yan
,
P.
Dong
,
X.
Du
,
T.
Zheng
,
H.
Zhang
and
M.
Guizani
, “
Congestion Game With Link Failures for Network Selection in High-Speed Vehicular Networks
,” in
IEEE Access
, vol.
6
, pp.
76165
76175
,
2018
, DOI: .
5.
M.
Zhang
,
M.
Mezzavilla
,
R.
Ford
,
S.
Rangan
,
S.
Panwar
,
E.
Mellios
,
D.
Kong
,
A.
Nix
,
M.
Zorzi
,
Transport layer performance in 5G mmWave cellular
, in:
Proc. of IEEE Computer Communications Workshops, INFOCOM WKSHPS
,
2016
,pp.
730
735
6.
M.
Pieska
,
A.
Kassler
,
TCP performance over 5G mmWave links—Tradeoff between capacity and latency
, in:
Proc. of Wireless and Mobile Computing, Networking and Communications, WiMob
,
2017
, pp.
385
394
.
7.
R.
Ford
,
M.
Zhang
,
S.
Dutta
,
M.
Mezzavilla
,
S.
Rangan
,
M.
Zorzi
,
A framework for end-to-end evaluation of 5G mmWave cellular networks in ns-3
, in:
Proc. of the Workshop on ns-3 ACM
,
2016
, pp.
85
92
.
9.
M.
Pieska
,
A.
Kassler
,
TCP performance over 5G mmWave links—Tradeoff between capacity and latency
, in:
Proc. of IEEE International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob
,
2017
, pp.
385
394
.
10.
M.
Zhang
,
M.
Mezzavilla
,
J.
Zhu
,
S.
Rangan
,
S.
Panwar
,
TCP dynamics over mmWave links
, in:
Proc. of IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC
,
2017
, pp.
1
6
.
11.
T.
Azzino
,
M.
Drago
,
M.
Polese
,
A.
Zanella
,
M.
Zorzi
,
X-TCP: a cross layer approach for TCP uplink flows in mmWave networks
, in:
Proc. of IEEE Annual Mediterranean Ad Hoc Networking Workshop, Med-Hoc-Net
,
2017
, pp.
1
6
.
12.
S.
Ha
,
I.
Rhee
,
L.
Xu
,
CUBIC: a new TCP-friendly high-speed TCP variant
,
ACM SIGOPS Oper. Syst. Rev.
42
(
5
) (
2008
)
64
74
.
13.
N.
Cardwell
,
Y.
Cheng
,
C.S.
Gunn
,
S.H.
Yeganeh
,
V.
Jacobson
,
BBR: Congestion-based congestion control
,
Queue
14
(
5
) (
2016
)
20
53
.
14.
L.
Nahar
,
M. M.
Rahaman
,
T.
Nasrin
and
K.
Shrafuzzaman
, “
Throughput analysis for TCP NewReno
,”
2016 3rd International Conference on Electrical Engineering and Information Communication Technology (ICEEICT)
,
Dhaka
,
2016
, pp.
1
6
, DOI: .
15.
Y.
Guo
,
X.
Yang
,
R.
Wang
and
J.
Sun
, “
TCP Adaptive Vegas: Improving of TCP Vegas algorithm
,”
2014 International Conference on Information Science, Electronics and Electrical Engineering
,
Sapporo, Japan
,
2014
, pp.
126
130
, DOI: .
16.
P.
Chaudhary
and
S.
Kumar
, “
Comparative study of TCP variants for congestion control in wireless network
,”
2017 International Conference on Computing, Communication and Automation (ICCCA)
,
Greater Noida, India
,
2017
, pp.
641
646
, DOI: .
17.
E.
Ucer
,
M. C.
Kisacikoglu
and
M.
Yuksel
, “
Decentralized Additive Increase and Multiplicative Decrease-Based Electric Vehicle Charging
,” in
IEEE Systems Journal
, DOI: .
18.
V.
Monisha
and
T.
Ranganayaki
, “
Congestion Avoidance Aware using Modified Weighted Fairness Guaranteed DRED-FDNNPID Congestion Control for MWSN
,”
2018 Tenth International Conference on Advanced Computing (ICoAC
),
2018
, pp.
133
137
, DOI: .
19.
F.
Alghamdi
, “
Metrics that impact on Congestion Control at Internet Of Things Environment
,”
2020 3rd International Conference on Computer Applications & Information Security (ICCAIS)
,
2020
, pp.
1
5
, DOI: .
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