Design of Beamforming Algorithm for Ultra-reliable and Low-latency Communication in Heterogeneous Networks Based on IRS Assistance

LUO Jiajun; DAI Haibo; WANG Baoyun; LI Chunguo

doi:10.11999/JEIT220397

Volume 44 Issue 7

Jul. 2022

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Article Navigation > Journal of Electronics & Information Technology > 2022 > 44(7): 2289-2298

LUO Jiajun, DAI Haibo, WANG Baoyun, LI Chunguo. Design of Beamforming Algorithm for Ultra-reliable and Low-latency Communication in Heterogeneous Networks Based on IRS Assistance[J]. Journal of Electronics & Information Technology, 2022, 44(7): 2289-2298. doi: 10.11999/JEIT220397

Citation:

LUO Jiajun, DAI Haibo, WANG Baoyun, LI Chunguo. Design of Beamforming Algorithm for Ultra-reliable and Low-latency Communication in Heterogeneous Networks Based on IRS Assistance[J]. Journal of Electronics & Information Technology, 2022, 44(7): 2289-2298. doi: 10.11999/JEIT220397

Citation:

LUO Jiajun, DAI Haibo, WANG Baoyun, LI Chunguo. Design of Beamforming Algorithm for Ultra-reliable and Low-latency Communication in Heterogeneous Networks Based on IRS Assistance[J]. Journal of Electronics & Information Technology, 2022, 44(7): 2289-2298. doi: 10.11999/JEIT220397

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Design of Beamforming Algorithm for Ultra-reliable and Low-latency Communication in Heterogeneous Networks Based on IRS Assistance

doi: 10.11999/JEIT220397

1.
School of Internet of Things, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
2.
School of Communications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
3.
School of Information Science and Engineering, Southeast University, Nanjing 210096, China

Funds: Open Foundation of National Railway Intelligence Transportation System Engineering Technology Research Center (RITS2021KF02), Key Research and Development Plan of Jiangsu Province (BE2021013-3), The National Natural Science Foundation of China (61971238)

Received Date: 2022-04-06
Rev Recd Date: 2022-06-21

Available Online: 2022-06-24

Publish Date: 2022-07-25

Abstract

Abstract

In order to enhance the transmission performance of Ultra-Reliable and Low-Latency Communication (URLLC) services in small cell in heterogeneous network scenarios, this paper proposes a beamforming algorithm based on Intelligent Reflecting Surface (IRS) assisted communication network to maximize users sum rates. Small cells in heterogeneous networks adopt short packet communication technology. On the premise of ensuring the communication quality of macro cell users, IRS is used to improve the short packet transmission performance of micro cell users under a certain decoding error probability, and a joint optimization beamforming vector and IRS are established. A problem is modeled for jointly optimizing beamforming vector and IRS phase shift vector. The non-convex optimization problem is split into two sub-problems by alternately fixing the optimization variables. The original problem is transformed into a convex optimization problem by using the Successive Convex Approximation (SCA) method, and the problem is solved by the alternating optimization algorithm. The simulation results show that the algorithm can effectively reduce the interference to small cell users in heterogeneous scenarios by deploying IRS, because the deployment of IRS can effectively optimize the beamforming vector and improve the short-packet transmission performance of small cell users, and the communication of IRS is enhanced. The effect is directly related to the decoding error probability of small cell users and the number of IRS reflection units.
- Intelligent Reflecting Surface(IRS),
- Heterogeneous network,
- Ultra-Reliable Low-Latency Communication (URLLC)

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References(26)

References

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