Optimal Semi-Persistent Uplink Scheduling Policy for Large-Scale Antenna Systems
In this paper, the uplink semi-persistent scheduling policy problem of minimizing network latency is considered for a training-based large-scale antenna system employing two simple linear receivers, a maximum ratio combiner and a zero-forcing receiver, while satisfying each user's reliability a...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2017-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8076824/ |
| _version_ | 1819120899812491264 |
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| author | Kyung Jun Choi Kwang Soon Kim |
| author_facet | Kyung Jun Choi Kwang Soon Kim |
| author_sort | Kyung Jun Choi |
| collection | DOAJ |
| description | In this paper, the uplink semi-persistent scheduling policy problem of minimizing network latency is considered for a training-based large-scale antenna system employing two simple linear receivers, a maximum ratio combiner and a zero-forcing receiver, while satisfying each user's reliability and latency constraints under an energy constraint. The network latency is defined as the air-time requested either to serve all users with a minimum quality-of-service, including reliability constraints and minimum throughput levels, or to maximize the spectral efficiency. Optimal non-orthogonal pilots are used to decrease the network latency. An optimization algorithm for determining the latency-optimal uplink scheduling policy using binary-integer programming (BIP) with an exponential-time complexity is proposed. In addition, it is proven that a linear programming relaxation of the BIP can provide an optimal solution with a polynomial-time complexity. Numerical simulations demonstrate that the proposed scheduling policy can provide several times lower network latency in realistic environments than conventional policies. The proposed optimal semi-persistent scheduling policy provides critical guidelines for designing 5G and future cellular systems, particularly for their ultra-reliable low-latency communication services. |
| first_indexed | 2024-12-22T06:28:00Z |
| format | Article |
| id | doaj.art-d279a6a81fa54c7f80ba5d60b514c903 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-22T06:28:00Z |
| publishDate | 2017-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-d279a6a81fa54c7f80ba5d60b514c9032022-12-21T18:35:48ZengIEEEIEEE Access2169-35362017-01-015229022291510.1109/ACCESS.2017.27648038076824Optimal Semi-Persistent Uplink Scheduling Policy for Large-Scale Antenna SystemsKyung Jun Choi0Kwang Soon Kim1https://orcid.org/0000-0002-5706-174XDepartment of Electrical and Electronic Engineering, Yonsei University, Seoul, South KoreaDepartment of Electrical and Electronic Engineering, Yonsei University, Seoul, South KoreaIn this paper, the uplink semi-persistent scheduling policy problem of minimizing network latency is considered for a training-based large-scale antenna system employing two simple linear receivers, a maximum ratio combiner and a zero-forcing receiver, while satisfying each user's reliability and latency constraints under an energy constraint. The network latency is defined as the air-time requested either to serve all users with a minimum quality-of-service, including reliability constraints and minimum throughput levels, or to maximize the spectral efficiency. Optimal non-orthogonal pilots are used to decrease the network latency. An optimization algorithm for determining the latency-optimal uplink scheduling policy using binary-integer programming (BIP) with an exponential-time complexity is proposed. In addition, it is proven that a linear programming relaxation of the BIP can provide an optimal solution with a polynomial-time complexity. Numerical simulations demonstrate that the proposed scheduling policy can provide several times lower network latency in realistic environments than conventional policies. The proposed optimal semi-persistent scheduling policy provides critical guidelines for designing 5G and future cellular systems, particularly for their ultra-reliable low-latency communication services.https://ieeexplore.ieee.org/document/8076824/Semi-persistent schedulinglarge-scale antenna systemtraining-based transmissionnetwork latency minimizationuplink scheduling policynon-orthogonal pilots |
| spellingShingle | Kyung Jun Choi Kwang Soon Kim Optimal Semi-Persistent Uplink Scheduling Policy for Large-Scale Antenna Systems IEEE Access Semi-persistent scheduling large-scale antenna system training-based transmission network latency minimization uplink scheduling policy non-orthogonal pilots |
| title | Optimal Semi-Persistent Uplink Scheduling Policy for Large-Scale Antenna Systems |
| title_full | Optimal Semi-Persistent Uplink Scheduling Policy for Large-Scale Antenna Systems |
| title_fullStr | Optimal Semi-Persistent Uplink Scheduling Policy for Large-Scale Antenna Systems |
| title_full_unstemmed | Optimal Semi-Persistent Uplink Scheduling Policy for Large-Scale Antenna Systems |
| title_short | Optimal Semi-Persistent Uplink Scheduling Policy for Large-Scale Antenna Systems |
| title_sort | optimal semi persistent uplink scheduling policy for large scale antenna systems |
| topic | Semi-persistent scheduling large-scale antenna system training-based transmission network latency minimization uplink scheduling policy non-orthogonal pilots |
| url | https://ieeexplore.ieee.org/document/8076824/ |
| work_keys_str_mv | AT kyungjunchoi optimalsemipersistentuplinkschedulingpolicyforlargescaleantennasystems AT kwangsoonkim optimalsemipersistentuplinkschedulingpolicyforlargescaleantennasystems |