Abstract
In cloud radio access network (Cloud-RAN), most previous research aims to reduce the energy consumption of the total system and ignores specific requirements of energy-saving in mobile users. For the meantime, some efforts have been made to devise efficient signal quantization techniques for fronthaul capacity restriction to improve the performance of Cloud-RAN. To improve the user-centric energy efficiency (EE), we propose two kinds of optimization algorithms in orthogonal frequency division multiple access-based Cloud-RAN in this paper, whereby Gaussian quantization and uniform scalar quantization methods are utilized. For single-RRH scenario, alternative iterative optimization algorithms are proposed to maximize users’ EE, by jointly allocating resources. Furthermore, in more general scenario for multiple RRHs, authors investigate a modified particle swarm optimization (M-PSO) algorithm to solve more complex problems, which remain non-linear and non-convex. Simulation results demonstrate the proposed schemes in this paper outperform conventional solutions and improve EE of users.
Highlights
1.1 Motivation With the rapid increment of mobile network, it is estimated that mobile data traffic will rise approximately 1000 times from 2010 to 2020, and the cost is predicted to decrease 100 times by 2020 [1]
In order to achieve above targets, China Mobile raised Cloud-RAN in [2], which is considered as one promising candidate for next-generation communication technologies [3]
The modified particle swarm optimization (M-Particle swarm optimization (PSO)) method could be used for a singleuser scenario, but its effect is not good, because M-PSO is a heuristic algorithm, which is suitable for dealing with complex problems
Summary
1.1 Motivation With the rapid increment of mobile network, it is estimated that mobile data traffic will rise approximately 1000 times from 2010 to 2020, and the cost is predicted to decrease 100 times by 2020 [1]. Cloud-RAN is a cloud-based, green, clean, and collaborative radio access network [4]. Each single mobile user is corresponding to one or more remote radio heads (RRHs). RRHs, as limited function transceivers, are attached to the central cloud via a Energy-saving problem has attracted lots of attention in Cloud-RAN research field. According to the authors knowledge, most of the previous research aim to reduce the energy consumption of the total system and ignore specific requirements of energy saving of mobile users [5,6,7]. To reduce the interference between different channels [8] and decrease design complexity, we introduce orthogonal frequency division multiple access (OFDMA) to Cloud-RAN systems in this paper. To further improve system performance of Cloud-RAN, signal quantization techniques have been applied in related research [10]
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