<p>Non-orthogonal multiple access (NOMA), an upsurging multiple access technique, can be integrated with cooperative and multiple input multiple output (MIMO) techniques to enhance the capacity and reliability of the communication system. The use of MIMO technology in C-NOMA systems leads to inter-channel interference (ICI) and inter-antenna synchronization (IAS) issues. The proliferation of radio frequency (RF) chains and the corresponding increase in computational complexity are the primary causes of the problem. According to the study, ICI and IAS issues in C-NOMA systems may have a viable solution provided by index modulation (IM) techniques. The work proposes the incorporation of fully generalized spatial modulation (FGSMN), an enhanced IM method, in a three-user C-NOMA downlink system. Enhanced power allocation algorithms, including maximum sum capacity (MSC) and a recursive algorithm, are discussed to improve optimal power allocation in the system under consideration that results in an optimal value of <InlineEquation ID="IEq1"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="11276_2025_3988_Article_IEq1.gif" Format="GIF" Height="16" Rendition="HTML" Resolution="72" Type="Linedraw" Width="81" /> </InlineMediaObject> <EquationSource Format="TEX">${a}_{nu1}=0.01$</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <msub> <mi>a</mi> <mrow> <mi>n</mi> <mi>u</mi> <mn>1</mn> </mrow> </msub> <mo>=</mo> <mn>0.01</mn> </mrow> </math></EquationSource> </InlineEquation> and <InlineEquation ID="IEq2"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="11276_2025_3988_Article_IEq2.gif" Format="GIF" Height="16" Rendition="HTML" Resolution="72" Type="Linedraw" Width="81" /> </InlineMediaObject> <EquationSource Format="TEX">${a}_{nu1}=0.49$</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <msub> <mi>a</mi> <mrow> <mi>n</mi> <mi>u</mi> <mn>1</mn> </mrow> </msub> <mo>=</mo> <mn>0.49</mn> </mrow> </math></EquationSource> </InlineEquation>, respectively. The optimal power allocation in the proposed system increases the sum and achievable capacity for three users. An analysis of computational complexity, a crucial component of realistic system implementation, is included in the study. The study uses Jain's fairness index (JFI) to assess how well the FGSMN system works regarding user fairness, and the results suggest that it performs so efficiently. The FGSMN system achieves a sum capacity of 6.4067 bps/Hz for a specified data rate at a transmit power of 12 dBm with an optimum value of <InlineEquation ID="IEq3"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="11276_2025_3988_Article_IEq1.gif" Format="GIF" Height="16" Rendition="HTML" Resolution="72" Type="Linedraw" Width="81" /> </InlineMediaObject> <EquationSource Format="TEX">${a}_{nu1}=0.01$</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <msub> <mi>a</mi> <mrow> <mi>n</mi> <mi>u</mi> <mn>1</mn> </mrow> </msub> <mo>=</mo> <mn>0.01</mn> </mrow> </math></EquationSource> </InlineEquation> power allocation coefficient.</p>

Performance analysis of fully generalized spatial modulation aided C-NOMA system for B5G applications

期刊论文
发表日期：

2025年6月27日

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C. Srikamu,
R. Jayabharathy

摘要

Non-orthogonal multiple access (NOMA), an upsurging multiple access technique, can be integrated with cooperative and multiple input multiple output (MIMO) techniques to enhance the capacity and reliability of the communication system. The use of MIMO technology in C-NOMA systems leads to inter-channel interference (ICI) and inter-antenna synchronization (IAS) issues. The proliferation of radio frequency (RF) chains and the corresponding increase in computational complexity are the primary causes of the problem. According to the study, ICI and IAS issues in C-NOMA systems may have a viable solution provided by index modulation (IM) techniques. The work proposes the incorporation of fully generalized spatial modulation (FGSMN), an enhanced IM method, in a three-user C-NOMA downlink system. Enhanced power allocation algorithms, including maximum sum capacity (MSC) and a recursive algorithm, are discussed to improve optimal power allocation in the system under consideration that results in an optimal value of ${a}_{nu1}=0.01$ $a_{n u 1} = 0.01$ and ${a}_{nu1}=0.49$ $a_{n u 1} = 0.49$ , respectively. The optimal power allocation in the proposed system increases the sum and achievable capacity for three users. An analysis of computational complexity, a crucial component of realistic system implementation, is included in the study. The study uses Jain's fairness index (JFI) to assess how well the FGSMN system works regarding user fairness, and the results suggest that it performs so efficiently. The FGSMN system achieves a sum capacity of 6.4067 bps/Hz for a specified data rate at a transmit power of 12 dBm with an optimum value of ${a}_{nu1}=0.01$ $a_{n u 1} = 0.01$ power allocation coefficient.