Evaluating the Mobility Impact on the Performance of Heterogeneous Wireless Networks over η-μ Fading Channels
บทความในวารสาร
ผู้เขียน/บรรณาธิการ
กลุ่มสาขาการวิจัยเชิงกลยุทธ์
รายละเอียดสำหรับงานพิมพ์
รายชื่อผู้แต่ง: Meesa-Ard E., Pattaramalai S.
ผู้เผยแพร่: Institute of Electrical and Electronics Engineers
ปีที่เผยแพร่ (ค.ศ.): 2021
วารสาร: IEEE Access (2169-3536)
Volume number: 9
หน้าแรก: 65017
หน้าสุดท้าย: 65032
จำนวนหน้า: 16
นอก: 2169-3536
eISSN: 2169-3536
ภาษา: English-United States (EN-US)
ดูในเว็บของวิทยาศาสตร์ | ดูบนเว็บไซต์ของสำนักพิมพ์ | บทความในเว็บของวิทยาศาสตร์
บทคัดย่อ
The 5G and beyond networks will intrinsically accommodate a wide range of use-case scenarios and expand the limit of legacy mobile systems. The 5G network architecture can handle the seamless operation of various wireless channels in a heterogeneous environment. The η-μ fading model is well-suited for versatile channels as it adapts to different fading behaviors in a broad-range propagation for non-line-of-sight (NLOS) circumstances. This paper evaluates the performance of heterogeneous wireless networks using η-μ fading channel under mobility conditions. We incorporated the random waypoint (RWP) model with η-μ distribution to model the dynamic behavior of non-homogeneous fading. The derivation of expressions for the probability density function (PDF) and cumulative distribution function (CDF) of the received signal power for a mobile network in all three-dimensional topologies is extracted. Consequently, the outage probability (OP) and average bit error rate (ABER) are analyzed to quantify the performance of the mobile system. The effect of co-channel interference (CCI) is investigated based on a desired and interfering signal transmitted in mobile networks. The proposed novel-form can characterize the performance of a mobile user, and the derivation is useful for measuring the effect of noise and interference on the signal. Finally, the novel-form applicability analyzes the impact of mobility incorporated in different fading channels such as Nakagami-m, Nakagami-q (Hoyt), Rayleigh, and one-sided Gaussian distributions. © 2013 IEEE.
คำสำคัญ
Wireless Network Channel model