Resource Allocation in CAT-M and LTE-A Coexistence: A Joint Contention Bandwidth Optimization Scheme

被引:4
|
作者
Sultan, Radwa [1 ]
Refaey, Ahmed [1 ,2 ]
Hamouda, Walaa [3 ]
机构
[1] Manhattan Coll, Riverdale, Riverdale, NY 10471 USA
[2] Western Univ, London, ON, Canada
[3] Concordia Univ, Montreal, PQ, Canada
关键词
CAT-M; 1; Cellular IoT; Coexistence; Resource Allocation;
D O I
10.1109/ccece47787.2020.9255823
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
There are high expectations for IoT devices and networks concerning reliability, performance, quality, and long-term availability. Indeed, wireless connectivity is the most critical success factor for the IoT era. Recently, the cellular technologies focused on introducing new releases, like LTE Cat-M1, to provide global coverage and mobility for the IoT applications. However, the cellular spectrum is already congested, and adding new services will defiant the existing ones. Herein, the network key performance indicator (KPI) should be considered to enhance the resource management for LTE and LTE CAT M1 users. Tackling the coexistence between the aforementioned in the 1.4 Mhz band, three coexistence optimization problems are formulated. The first and the second coexistence optimization problems are formulated assuming higher IoT-traffic priority, and higher LTE-traffic priority, respectively. On the other hand, the third problem is formulated assuming that both the IoT-traffic and the LTE-traffic have the same priority. Afterward, a scheduling optimization solution algorithm is proposed using the interior point method. Finally, the performance of the proposed scheduling algorithm is evaluated via numerical analysis.
引用
收藏
页数:6
相关论文
共 50 条
  • [1] Resource Allocation in LTE-LAA and WiFi Coexistence: a Joint Contention Window Optimization Scheme
    Gao, Yuan
    Chen, Bolin
    Chu, Xiaoli
    Zhang, Jie
    GLOBECOM 2017 - 2017 IEEE GLOBAL COMMUNICATIONS CONFERENCE, 2017,
  • [2] Cognitive-Based Resource Allocation Scheme in LTE-A Networks with M2M/H2H Coexistence
    AlQahtani, Salman A.
    2017 WIRELESS TELECOMMUNICATIONS SYMPOSIUM (WTS), 2017,
  • [3] A Novel Resource Allocation Scheme based on Resource Efficiency for LTE-A System
    Huang, Supeng
    Wang, Xibo
    Wang, Chaowei
    Wang, Weidong
    Zhang, Yinghai
    PROCEEDINGS OF 2015 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATION SOFTWARE AND NETWORKS (ICCSN), 2015, : 409 - 413
  • [4] Scalable priority-based resource allocation scheme for M2M communication in LTE/LTE-A network
    Singh, Upendra
    Dua, Amit
    Kumar, Neeraj
    Tanwar, Sudeep
    Iqbal, Rabat
    Hijji, Mohammad
    Amin, Saad
    Sharma, Ravi
    COMPUTERS & ELECTRICAL ENGINEERING, 2022, 103
  • [5] Optimal Resource Allocation Scheme for LTE-A Systems with Carrier Aggregation
    Pande, Madan
    Piro, Giuseppe
    2014 IEEE INTERNATIONAL CONFERENCE ON ADVANCED NETWORKS AND TELECOMMUNCATIONS SYSTEMS (ANTS), 2014,
  • [6] An Intelligent Priority Resource Allocation Scheme for LTE-A Downlink Systems
    Chung, Wen-Ching
    Chang, Chung-Ju
    Wang, Li-Chun
    IEEE WIRELESS COMMUNICATIONS LETTERS, 2012, 1 (03) : 241 - 244
  • [7] Energy Efficient Resource Allocation for M2M Devices in LTE/LTE-A
    Ben Rekhissa, Hajer
    Belleudy, Cecile
    Bessaguet, Philippe
    SENSORS, 2019, 19 (24)
  • [8] Dynamic Resource Allocation for Machine-Type Communications in LTE/LTE-A with Contention-Based Access
    Zhou, Kaijie
    Nikaaein, Navid
    Knopp, Raymond
    2013 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC), 2013, : 256 - 261
  • [9] Robust resource allocation scheme under channel uncertainties for LTE-A systems
    Mardani, Mohammad Reza
    Ghanbari, Mohammed
    WIRELESS NETWORKS, 2019, 25 (03) : 1313 - 1325
  • [10] Robust resource allocation scheme under channel uncertainties for LTE-A systems
    Mohammad Reza Mardani
    Mohammed Ghanbari
    Wireless Networks, 2019, 25 : 1313 - 1325