Sum Throughput Maximization for MISO-Assisted Multi-User Downlink Transmissions in the FBL Regime
International Symposium on Wireless Communication Systems, pp. 1–6
Abstract
In this paper, we study a multiple-input single-output (MISO) assisted multi-user downlink network. To support low-latency communications, the transmissions to massive users are coded by finite blocklength (FBL) codes. For such network, an efficient power allocation design is provided to optimize the sum throughput. In particular, we first characterize the FBL throughput performance, following which a power allocation problem is formulated aiming at maximizing the sum throughput in the FBL regime. To address the formulated non-convex problem, we separate the complex expression of the objective function into two parts and then conduct different tight convex approximation methods, with which, an efficient successive convex approximation (SCA)-based approach is introduced. Simulation results validate our analytical model and reveal that the proposed approach converges effectively and achieve the performance close to results of the exhaustive search. Furthermore, we evaluate the impacts of blocklength, number of transmitter antennas, power constraints and number of users on the system performance.
Authors 5
-
Wuhan University · RWTH Aachen University
Affiliation as printed
Electronic Information School, Wuhan University,China
Electronic Information School, Wuhan University, China
INDA Institute, RWTH Aachen University, Germany
-
Wuhan University · RWTH Aachen University
Affiliation as printed
Electronic Information School, Wuhan University,China
Electronic Information School, Wuhan University, China
INDA Institute, RWTH Aachen University, Germany
-
Shenzhen Research Institute of Big Data
Affiliation as printed
Shenzhen Research Institute of Big Data,China
Shenzhen Research Institute of Big Data, China
-
Affiliation as printed
Beijing Jiaotong University,State Key Lab. of Rail Traffic Control and Safety
State Key Lab. of Rail Traffic Control and Safety, Beijing Jiaotong University
-
Affiliation as printed
INDA Institute, RWTH Aachen University,Germany
INDA Institute, RWTH Aachen University, Germany
Cited by 2 stored of 2
2 results
No patents citing this paper on Lens.org (checked 2026-10-06).