Abstract
Cooperative multipoint transmission (CoMP) is one of the most promising paradigms for mitigating interference in cloud radio access networks (C-RAN). It allows multiple remote radio units (RRUs) to transmit the same data flow to a user to further improve the signal quality. However, CoMP may incur redundant data transmission over fronthaul network in the C-RAN. In a C-RAN employing CoMP, a key problem is how to coordinate heterogeneous resource allocation to maximize the cooperation gain while reducing the fronthaul load. In this paper, the cooperation transmission based on a multi-dimensional resource schedule (MRSCT) scheme, jointly considering user association, spectrum resource allocation, and wavelength resource allocation, is firstly envisioned in the underlying C-RAN integrating time and wavelength division multiplexing passive optical network (TWDM-PON) to maximize fronthaul efficiency. Then a two-timescale resource allocation framework including two sub-approaches is established. More specially, the first sub-approach mainly focuses on exploiting reinforcement learning to obtain a wavelength resource allocation strategy to relieve fronthaul traffic load. Moreover, the second sub-approach adopts the overlapping coalition formation game to establish a user-centric cooperative set, where spectrum resources are dynamically allocated to further alleviate the interference issue. The theoretical analysis and simulation results validate the performance of MRSCT scheme on the fronthaul efficiency, user experience, and system service capability.
Highlights
With the development of the information and communications technology and the popularization of smart mobile terminals, wireless network operators are faced with the increasing demand for high-speed data traffic [1]
In cloud radio access network (C-RAN), traditional base station is divided into three parts, i.e., remote radio units (RRUs), a centralized baseband unit (BBU) pool, and the BBU and RRUs are connecting by the fronthaul network [6]
To further improve the service capability of RRU, we propose Cooperative multipoint transmission (CoMP) clustering and dynamic spectrum allocation (CCDSA) algorithm to provide an efficient CoMP clustering according to the wavelength allocation result of reinforcement learning-based wavelength allocation (RLWA) algorithm
Summary
With the development of the information and communications technology and the popularization of smart mobile terminals, wireless network operators are faced with the increasing demand for high-speed data traffic [1]. Existing works have optimized the resource allocation problem of the wireless side and the optical side under C-RAN architecture considering the cooperative transmission. To maximize the transmission efficiency in non-ideal fronthaul, we first propose a multi-dimensional resource schedule-based cooperative transmission (MRSCT) scheme under C-RAN integrated with TWDM-PON, jointly considering cache resources, wavelength resources, and wireless resources. To further improve the service capability of RRU, we propose CoMP clustering and dynamic spectrum allocation (CCDSA) algorithm to provide an efficient CoMP clustering according to the wavelength allocation result of RLWA algorithm. Both user’s cooperative sets and resource block is optimized.
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