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...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-06-01
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| Series: | Electronics |
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| Online Access: | https://www.mdpi.com/2079-9292/11/12/1836 |
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| author | Yinglan Bu Jiaying Zong Xinjiang Xia Yang Liu Fengyi Yang Dongming Wang |
| author_facet | Yinglan Bu Jiaying Zong Xinjiang Xia Yang Liu Fengyi Yang Dongming Wang |
| author_sort | Yinglan Bu |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-09T23:56:57Z |
| format | Article |
| id | doaj.art-e494f85817ca45a19c56889f4b944eee |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-09T23:56:57Z |
| publishDate | 2022-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-e494f85817ca45a19c56889f4b944eee2023-11-23T16:24:27ZengMDPI AGElectronics2079-92922022-06-011112183610.3390/electronics11121836Joint User Scheduling and Resource Allocation in Distributed MIMO Systems with Multi-CarriersYinglan Bu0Jiaying Zong1Xinjiang Xia2Yang Liu3Fengyi Yang4Dongming Wang5National Mobile Communications Research Laboratory, Southeast University, Nanjing 210096, ChinaChina Telecom Research Institute, Beijing 102209, ChinaPurple Mountain Laboratories, Nanjing 211111, ChinaChina Telecom Research Institute, Beijing 102209, ChinaChina Telecom Research Institute, Beijing 102209, ChinaPurple Mountain Laboratories, Nanjing 211111, ChinaCompared 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.https://www.mdpi.com/2079-9292/11/12/1836D-MIMO systemmulti-carrier systemresource allocationuser schedulingSCA |
| spellingShingle | Yinglan Bu Jiaying Zong Xinjiang Xia Yang Liu Fengyi Yang Dongming Wang Joint User Scheduling and Resource Allocation in Distributed MIMO Systems with Multi-Carriers Electronics D-MIMO system multi-carrier system resource allocation user scheduling SCA |
| title | Joint User Scheduling and Resource Allocation in Distributed MIMO Systems with Multi-Carriers |
| title_full | Joint User Scheduling and Resource Allocation in Distributed MIMO Systems with Multi-Carriers |
| title_fullStr | Joint User Scheduling and Resource Allocation in Distributed MIMO Systems with Multi-Carriers |
| title_full_unstemmed | Joint User Scheduling and Resource Allocation in Distributed MIMO Systems with Multi-Carriers |
| title_short | Joint User Scheduling and Resource Allocation in Distributed MIMO Systems with Multi-Carriers |
| title_sort | joint user scheduling and resource allocation in distributed mimo systems with multi carriers |
| topic | D-MIMO system multi-carrier system resource allocation user scheduling SCA |
| url | https://www.mdpi.com/2079-9292/11/12/1836 |
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