Base station handover selection and power allocation method in multi-user heterogeneous network system
A heterogeneous network and base station switching technology, applied in wireless communication, electrical components, etc., can solve the problems of frequent switching, no consideration of long-term throughput, increased switching overhead, etc., and achieve the effect of avoiding frequent switching problems
Active Publication Date: 2021-10-26
NANJING UNIV
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Problems solved by technology
The handover mechanism in 3GPP is designed for traditional macro base stations. In dense networks, the traditional handover strategy in 3GPP may cause frequent handover problems, and will increase handover and bring additional overhead.
The other is to construct the problem as a multi-armed bandit model to optimize the current optimal solution, but this method does not consider maximizing long-term throughput, and these methods usually do not consider the influence and cooperation between multiple users
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[0032] Below in conjunction with accompanying drawing and specific embodiment, further illustrate the present invention, should be understood that these embodiments are only for illustrating the present invention and are not intended to limit the scope of the present invention, after having read the present invention, those skilled in the art will understand various aspects of the present invention Modifications in equivalent forms all fall within the scope defined by the appended claims of this application.
[0033] Such as figure 1 As shown, the communication system we consider consists of 1 macro base station, M millimeter wave small base stations, and N mobile users. Assume is a collection of base stations, where 0 is the number of the macro base station, and the rest of the numbers are the numbers of the small base stations, A collection of users. The total power of the macro base station is P M , the total power of the small base station is P S , to ensure the bas...
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The invention discloses a base station switching selection and power allocation method in a multi-user heterogeneous network system, including a macro base station, M millimeter wave small base stations, and N mobile user terminals, and the user can only use local observation information Make a decision, including the following steps: each user synchronously chooses to connect to a macro base station or a small base station, and simultaneously transmits a power allocation request factor to the connected base station, and the base station allocates signal transmission according to the ratio of the service demand factor energy of. The invention enables the system to optimize the user's switching selection and energy distribution strategy, so that the system simultaneously takes into account the throughput and the switching frequency, and reduces the user switching frequency while maximizing the throughput.
Description
technical field [0001] The invention belongs to the field of wireless communication, in particular to a method for optimizing base station switching and energy distribution in a multi-user heterogeneous network system (referred to as "system"), and more specifically to a multi-agent reinforcement learning algorithm based on MAPPO (multi-agent proximal policy optimization, multi-agent proximal policy optimization) optimization method for base station switching and energy allocation strategies. Background technique [0002] Fifth-generation (5G) networks are expected to meet the growing demand for wireless communications. mmWave in the 30-300GHz range will play a key role in 5G due to the wide spectrum available and the expected high data rates. On the other hand, due to the limitations of transmission power, high temperature noise and high oxygen absorption, the transmission distance of millimeter wave signals is relatively short. Dense deployment of small cells in traffic ...
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IPC IPC(8): H04W36/08H04W72/04
CPCH04W36/08H04W72/0473
Inventor 唐岚郭德邻
Owner NANJING UNIV