Energy efficient resource allocation for uplink hybrid power domain sparse code nonorthogonal multiple access heterogeneous networks with statistical channel estimation,Transactions on Emerging Telecommunications Technologies

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Energy efficient resource allocation for uplink hybrid power domain sparse code nonorthogonal multiple access heterogeneous networks with statistical channel estimation
Transactions on Emerging Telecommunications Technologies ( IF 2.5 ) Pub Date : 2020-12-04 , DOI: 10.1002/ett.4185
Simon Chege ₁ , Tom Walingo ₁

Affiliation

Modern 5G heterogeneous networks (HetNets) require hybrid multiple access technology for optimal performance. The feasibility of a hybrid power domain sparse code nonorthogonal multiple access (PD‐SCMA) that integrates both power domain nonorthogonal multiple access (PD‐NOMA) and sparse code multiple access (SCMA) for an uplink hierarchical HetNet system is demonstrated. Hybrid schemes namely: Successive Codebook Ordering Assignment (SCOA) for codebook assignment (CA), opportunistic MUE‐SUE pairing (OMSP) for user pairing (UP), and a QoS‐aware power allocation (QAPA) for power allocation (PA) are developed. The SCOA algorithm is based on channel quality ordering metric, OMSP algorithm is based on channel quality diversity and pairing interference metric while the QAPA algorithm features a QoS awareness metric. A joint energy efficiency (EE) resource allocation (JEERA) algorithm that iteratively performs CA, UP, and PA for small cell user equipment (SUE) and the macro user equipment (MUE) to limit interference, improve spectral and energy efficiency is presented. The problem is formulated as a mixed integer nonconvex system EE resource allocation optimization for the small cells under QoS constraints of minimum sum‐rate, interference temperature, maximum power, and SCMA structure for a hybrid low complexity joint SIC‐Log‐MPA receiver. A modified near‐optimal dual decomposition analytical methodology featuring Dinkelbach fractional transformations is utilized to assess the system's performance on an imperfect wireless channel. Through numerical results, the proposed schemes are shown to improve the EE of the small cells in comparison with the prevalent schemes.

中文翻译：

具有统计信道估计的上行混合功率域稀疏码非正交多址异构网络的节能资源分配

现代5G异构网络（HetNet）需要混合多路访问技术以实现最佳性能。展示了混合功率域稀疏代码非正交多址访问（PD‐SCMA）的可行性，该混合方法将功率域非正交多址访问（PD‐NOMA）和稀疏码多址访问（SCMA）集成到上行链路分层HetNet系统中。混合方案包括：用于码本分配（CA）的连续码本订购分配（SCOA），用于用户配对（UP）的机会性MUE-SUE配对（OMSP）和用于功率分配（PA）的QoS感知功率分配（QAPA）发达。SCOA算法基于信道质量排序指标，OMSP算法基于信道质量分集和配对干扰指标，而QAPA算法则具有QoS感知指标。提出了一种联合能效（EE）资源分配（JEERA）算法，该算法可迭代执行小型小区用户设备（SUE）和宏用户设备（MUE）的CA，UP和PA，以限制干扰，提高频谱和能效。对于混合低复杂度SIC-Log-MPA联合接收器的最小总速率，干扰温度，最大功率和SCMA结构的QoS约束，该问题被表述为小型小区的混合整数非凸系统EE资源分配优化。一种经过改进的，具有Dinkelbach分数变换的近似最佳双重分解分析方法，用于评估系统在不完善的无线信道上的性能。通过数值结果

更新日期：2021-01-13

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