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Abstract
Optimized Low Density Superposition Modulation for 5G Mobile Multimedia Wireless Networks
Highlights
Towards the year 2020 and beyond, the increasing popularity of the multimedia services, e.g., ultra-high definition (UHD), 3D and video services will significantly drive up the data rates [1], [2]
In order to get better diversity gain of Low Density Superposition Modulation (LDSM)-OFDM system, we propose a Bare-bone Particle Swarm Optimization (BBPSO)-extrinsic information transfer (EXIT) optimisation algorithm to optimize the degree distribution for LDSM signature matrix
According to the predictions of the EXIT chart, the LDSM scheme with optimization degree distribution can achieve 1.0dB,1.0dB gains compared with sparse code multiple access (SCMA) and pattern division multiple access (PDMA) schemes, respectively
Summary
Towards the year 2020 and beyond, the increasing popularity of the multimedia services, e.g., ultra-high definition (UHD), 3D and video services will significantly drive up the data rates [1], [2]. In [23], it proposes a framework to analyze and design this iterative receiver for LDS-OFDM system using EXIT charts These studies have focused mainly on signature matrix with small, in which may cause short cycle. Literature [24] proposes a new low density superposition modulation (LDSM) scheme to improve performance of NOMA. We propose a method to optimize the degree distribution of LDSM signature matrix. In 2003, Kennedy proposed a novel Bare-bone Particle Swarm Optimization (BBPSO) algorithm, in which the traditional velocity term of PSO is eliminated and the position of each particle is randomly updated from the Gaussian distribution based on the information of personal best position (pbest) and the global best position (gbest) of particles [27]. We take BBPSO algorithm to optimize the degree distribution of LDSM signature matrix
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