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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM51224

Automated Handoffs in Wireless Networks Based on Data Driven Statistical Models: A Review

Stream/Area:

-

Subject:

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Paper ID:

IJSREM51224

Volume:

9 |

7 |

Jul 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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P

PRITIKA

PK

PROF.PREETISH KSHIRASAGAR

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Abstract

With increasing number of users and multimedia applications, bandwidth efficiency in cellular networks has become a critical aspect for system design. Bandwidth is a vital resource shared by wireless networks. Hence its in critical to enhance bandwidth efficiency. Orthogonal Frequency Division Multiplexing (OFDM) and Non-Orthogonal Multiple access (NOMA) have been the leading contenders for modern wireless networks. NOMA is a technique in which multiple users data is separated in the power domain. A typical cellular system generally has the capability of automatic fallback or handover. In such cases, there can be a switching from one of the technologies to another parallel or co-existing technology in case of changes in system parameters such as Bit Error Rate (BER) etc. Multi User Detection or MUD is a serious challenge faced in the field of wireless and cellular communications. Due to the high spectral efficiency, non-orthogonal multiple access (NOMA) based systems are becoming the latest choice for 5G networks and onwards. This paper presents a review on co-existence of NOMA and OFDM systems for future generation wireless networks.

KEYWORDS

Wireless Networks Co-Existence Non-Orthogonal Multiple Access (NOMA) Multi User Detection (MUD) Inter Symbol Interference (ISI) Frequency Selective Channel Bit Error Rate (BER).

Cite This Article

PRITIKA, PROF.PREETISH KSHIRASAGAR, "Automated Handoffs in Wireless Networks Based on Data Driven Statistical Models: A Review," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 7, Jul 2025.

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6/6/2025

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