機器型態通訊技術支援各式各樣的機器對機器的相關應用，而對於這些應用，節省能
源消耗是一項非常重要的議題；此外，機器型態通訊技術同時也被預期能夠支援物連
網服務，而隨著物聯網裝置數量的急遽成長，吞吐量以及封包延遲等服務品質的指標
也成為重要的議題。過去已經有許多上行排程演算法在討論這些議題，然而這兩種議
題是需要權衡的，降低能源消耗的話，服務品質就會下降，反之亦然。但是我們利用
多重存取邊端運算技術提出一個新的上行排程演算法，可以在降低能源消耗的同時盡
可能提高服務品質。為了評估我們提出的演算法的效能，利用OpenAirInterface作為實
作與模擬平台進行開發並收集實驗數據，除此之外，我們還實作輪循以及部分公平演
算法作為比較用的演算法。最後，我們針對實驗結果進行分析，並且實驗結果說明我
們提出的演算法具有較好的效能。此外，我們也有探討多重存取邊端運算技術所提供
的運算能力對於系統效能的影響。

Machine Type Communications (MTC) supports various Machine-to-Machine (M2M) ap-
plications, where the energy eciency is a key issue. In addition, MTC is expected to
support a variety of Internet of Things (IoT) services, and the number of IoT devices
is rapidly growing which causes the improvement of the system performance is neces-
sary. Many uplink scheduling algorithms consider the power consumption or aim to the
system performance, but not both. In this thesis, we propose an scheduling algorithm
assisted by a emerging technology, Multi-access Edge Computing (MEC), and our algo-
rithm minimizes the energy consumption and improves the system performance as much
as possible. In order to evaluate our algorithm, we use LTE as an example and OpenAir-
Interface (OAI) as a testbed, because the simulation platform of LTE is fully developed
and more reliable. In this thesis, the overview of OAI scheduler is introduced, and the
implementation of our algorithm using OAI are detailed. Compared with Round-Robin
(RR) and Proportional fair (PF) algorithm, our performance study shows that our al-
gorithm improves the performance in terms of the energy consumption and the system
performance. Moreover, through the simulation results, we analyze the relation between
the computational capability of the MEC server and the system performance.

[1] 3GPP, \Ts 22.368 v12. 2.0 service requirements for machine-type communications
(mtc)," 2013.
[2] V. Gazis, \A survey of standards for machine-to-machine and the internet of things,"
IEEE Communications Surveys Tutorials, vol. 19, pp. 482{511, Firstquarter 2017.
[3] I. Yaqoob, E. Ahmed, I. A. T. Hashem, A. I. A. Ahmed, A. Gani, M. Imran, and
M. Guizani, \Internet of things architecture: Recent advances, taxonomy, require-
ments, and open challenges," IEEE wireless communications, vol. 24, no. 3, pp. 10{16,
2017.
[4] S. Li, L. Da Xu, and S. Zhao, \5g internet of things: A survey," Journal of Industrial
Information Integration, 2018.
[5] C. Yu, L. Yu, Y. Wu, Y. He, and Q. Lu, \Uplink scheduling and link adaptation for
narrowband internet of things systems," IEEE Access, vol. 5, pp. 1724{1734, 2017.
[6] T. Qiu, R. Qiao, and D. O. Wu, \Eabs: An event-aware backpressure scheduling
scheme for emergency internet of things," IEEE Transactions on Mobile Computing,
no. 1, pp. 72{84, 2018.
[7] B. Afzal, S. A. Alvi, G. A. Shah, and W. Mahmood, \Energy ecient context aware
trac scheduling for iot applications," Ad Hoc Networks, vol. 62, pp. 101{115, 2017.
[8] M. Kalil, A. Shami, and A. Al-Dweik, \Qos-aware power-ecient scheduler for lte
uplink," IEEE Transactions on Mobile Computing, vol. 14, no. 8, pp. 1672{1685,
2015.
44
[9] S. Abdullah and K. Yang, \An energy-ecient message scheduling algorithm in in-
ternet of things environment," in 2013 9th International Wireless Communications
and Mobile Computing Conference (IWCMC), pp. 311{316, July 2013.
[10] M. R. Palattella, N. Accettura, M. Dohler, L. A. Grieco, and G. Boggia, \Trac
aware scheduling algorithm for reliable low-power multi-hop ieee 802.15.4e networks,"
in 2012 IEEE 23rd International Symposium on Personal, Indoor and Mobile Radio
Communications - (PIMRC), pp. 327{332, Sept 2012.
[11] N. Accettura, M. R. Palattella, G. Boggia, L. A. Grieco, and M. Dohler, \Decentral-
ized trac aware scheduling for multi-hop low power lossy networks in the internet
of things," in 2013 IEEE 14th International Symposium on "A World of Wireless,
Mobile and Multimedia Networks" (WoWMoM), pp. 1{6, June 2013.
[12] T. Taleb, K. Samdanis, B. Mada, H. Flinck, S. Dutta, and D. Sabella, \On multi-
access edge computing: A survey of the emerging 5g network edge cloud architec-
ture and orchestration," IEEE Communications Surveys & Tutorials, vol. 19, no. 3,
pp. 1657{1681, 2017.
[13] Y. C. Hu, M. Patel, D. Sabella, N. Sprecher, and V. Young, \Mobile edge com-
puting|a key technology towards 5g," ETSI white paper, vol. 11, no. 11, pp. 1{16,
2015.
[14] J. O. Fajardo, I. Taboada, and F. Liberal, \Radio-aware service-level scheduling to
minimize downlink trac delay through mobile edge computing," in International
Conference on Mobile Networks and Management, pp. 121{134, Springer, 2015.
[15] S. Sardellitti, G. Scutari, and S. Barbarossa, \Joint optimization of radio and com-
putational resources for multicell mobile-edge computing," IEEE Transactions on
Signal and Information Processing over Networks, vol. 1, no. 2, pp. 89{103, 2015.
[16] P. Di Lorenzo, S. Barbarossa, and S. Sardellitti, \Joint optimization of radio resources
and code partitioning in mobile edge computing," arXiv preprint arXiv:1307.3835,
2013.
45
[17] D. Dechene and A. Shami, \Energy-aware resource allocation strategies for lte up-
link with synchronous harq constraints," IEEE Transactions on Mobile Computing,
vol. 13, pp. 422{433, Feb 2014.
[18] T.-P. Low, M.-O. Pun, Y. Hong, and C.-C. Kuo, \Optimized opportunistic multicast
scheduling (oms) over wireless cellular networks," IEEE Transactions on Wireless
Communications, vol. 9, pp. 791{801, February 2010.
[19] T. ETSI, \136 213 v11. 3.0 (3gpp ts 36.213 version 11.3. 0 release 11)," LTE.,(Jul.
2013), vol. 178.
[20] J. Huang, F. Qian, A. Gerber, Z. M. Mao, S. Sen, and O. Spatscheck, \A close
examination of performance and power characteristics of 4g lte networks," pp. 225{
238, 2012.
[21] 3GPP TR 36.931, LTE;Evolved Universal Terrestrial Radio Access (E-UTRA);Radio
Frequency (RF) requirements for LTE Pico Node B (Release 9), v9.0.0 ed., May 2011.
[22] A. Hafsaoui, N. Nikaein, and L. Wang, \Openairinterface trac generator (otg): A
realistic trac generation tool for emerging application scenarios," in 2012 IEEE
20th International Symposium on Modeling, Analysis and Simulation of Computer
and Telecommunication Systems, pp. 492{494, Aug 2012.