论文标题
智能反射表面辅助多细胞Noma网络
Intelligent Reflecting Surface Aided Multi-Cell NOMA Networks
论文作者
论文摘要
本文提出了一个新颖的资源分配框架，以智能反射表面（IRS）辅助多细胞非正交多访问（NOMA）网络，其中提出了总和率最大化问题。为了解决这个具有挑战性的混合企业非线性问题，我们将其分解为具有连续变量和带有整数变量的匹配问题（P2）的优化问题（P1）。对于非convex优化问题（P1），提出了迭代算法，用于分配发射功率，设计反射矩阵以及通过调用凸面上限替代，连续的convex近似值和半足以放松来确定解码顺序。对于组合问题（P2），提出了基于交换匹配的算法，以在用户，BSS和子渠道中实现双面交换稳定状态。提供了数值结果，以证明Noma网络的总和能够借助IRS增强。
This paper proposes a novel framework of resource allocation in intelligent reflecting surface (IRS) aided multi-cell non-orthogonal multiple access (NOMA) networks, where a sum-rate maximization problem is formulated. To address this challenging mixed-integer non-linear problem, we decompose it into an optimization problem (P1) with continuous variables and a matching problem (P2) with integer variables. For the non-convex optimization problem (P1), iterative algorithms are proposed for allocating transmit power, designing reflection matrix, and determining decoding order by invoking relaxation methods such as convex upper bound substitution, successive convex approximation and semidefinite relaxation. For the combinational problem (P2), swap matching-based algorithms are proposed to achieve a two-sided exchange-stable state among users, BSs and subchannels. Numerical results are provided for demonstrating that the sum-rate of the NOMA networks is capable of being enhanced with the aid of the IRS.
