Joint User Scheduling and Resource Allocation in Distributed MIMO Systems with Multi-Carriers

被引:1
|
作者
Bu, Yinglan [1 ]
Zong, Jiaying [2 ]
Xia, Xinjiang [3 ]
Liu, Yang [2 ]
Yang, Fengyi [2 ]
Wang, Dongming [3 ]
机构
[1] Southeast Univ, Natl Mobile Commun Res Lab, Nanjing 210096, Peoples R China
[2] China Telecom Res Inst, Beijing 102209, Peoples R China
[3] Purple Mt Labs, Nanjing 211111, Peoples R China
基金
中国国家自然科学基金; 中国博士后科学基金;
关键词
D-MIMO system; multi-carrier system; resource allocation; user scheduling; SCA; MASSIVE MIMO; ENERGY-EFFICIENCY; POWER ALLOCATION; NETWORKS; CAPACITY;
D O I
10.3390/electronics11121836
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Compared with the traditional collocated multi-input multi-output system (C-MIMO), distributed MIMO (D-MIMO) systems have the advantage of higher throughput and coverage, making them strong candidates for next-generation communication architecture. As a practical implementation of a D-MIMO cooperative network, the multi-TRP (multiple transmission/reception point) system becomes a hotspot in the research of advanced 5G. Different from previous research on a cooperative D-MIMO network with single narrowband transmission, this paper proposes a joint optimization scheme to address the user scheduling problem along with carrier allocation to maximize the total spectral efficiency (SE) in the downlink of coherent multi-TRP systems with multi-carriers. We establish a joint optimization model of user scheduling and resource allocation to maximize the system spectral efficiency under the constraints of power consumption and the backhaul capacity limits at each RAU (remote antenna unit), as well as the QoS (quality of service) requirement at each user. Since the optimization model is both non-covex and non-smooth, a joint optimization algorithm is proposed to solve this non-convex combinatorial optimization problem. We first smooth the mixed-integer problem by employing penalty functions, and after decoupling the coupled variables by introducing auxiliary variables, the original problem is transformed into a series of tractable convex optimization problems by using successive convex approximation (SCA). Numerical results demonstrate that the proposed joint optimization algorithm for user scheduling and resource allocation can reliably converge and achieve a higher system SE than the general multi-TRP system without carrier allocation, and this advantage is more pronounced under a higher backhaul capacity or higher power consumption constraints.
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页数:16
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