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

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 cooperati...

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Veröffentlicht in:Electronics (Basel) 2022-06, Vol.11 (12), p.1836
Hauptverfasser: Bu, Yinglan, Zong, Jiaying, Xia, Xinjiang, Liu, Yang, Yang, Fengyi, Wang, Dongming
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container_issue 12
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container_title Electronics (Basel)
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creator Bu, Yinglan
Zong, Jiaying
Xia, Xinjiang
Liu, Yang
Yang, Fengyi
Wang, Dongming
description 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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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). 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subjects Algorithms
Antennas
Combinatorial analysis
Communication
Computational geometry
Convex analysis
Convexity
Cooperation
Decoupling
Energy efficiency
Integer programming
MIMO communication
Mixed integer
Narrowband
Optimization
Optimization models
Penalty function
Power consumption
Resource allocation
Resource scheduling
Scheduling
Variables
title Joint User Scheduling and Resource Allocation in Distributed MIMO Systems with Multi-Carriers
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