Parallel and distributed algorithm for partial coordination in massive MIMO networks

We propose a parallel and distributed algorithm for the problem of beamformer design and power allocation in multi-cell massive multiple-input multiple-output (MIMO) networks. Inter-cell coordination and overlapping clusters are considered to enhance the system performance. To overcome the tight cou...

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Vydáno v:IEEE International Symposium on Personal, Indoor, and Mobile Radio Communications workshops (Print) s. 507 - 511
Hlavní autoři: Wan, Qian, Niu, Kai, Lin, Jiaru
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 01.09.2014
Témata:
Antennas
Beamformer Design
Interference
Massive MIMO
MIMO
Parallel Algorithm
Partial Coordination
Power demand
Resource management
Signal to noise ratio
System performance
ISSN:2166-9570
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Abstract We propose a parallel and distributed algorithm for the problem of beamformer design and power allocation in multi-cell massive multiple-input multiple-output (MIMO) networks. Inter-cell coordination and overlapping clusters are considered to enhance the system performance. To overcome the tight coupling induced by inter-cell coordination and overlapping clusters, we formulate the system into a two-layered framework. In this framework, the problem is decomposed into independent subproblems which are naturally solvable in a parallel and distributed manner. For each subproblem, an efficient parallel algorithm is proposed to speed up the convergence rate. The simulation results show that our inter-cell coordination strategy can approach the performance achieved by a high-quality limited inter-cell coordination strategy at low signal-to-noise ratio (SNR), and outperform it at high SNR. Moreover, the proposed parallel algorithm enjoys great parallelization speedup with moderate transmit power consumption.
AbstractList We propose a parallel and distributed algorithm for the problem of beamformer design and power allocation in multi-cell massive multiple-input multiple-output (MIMO) networks. Inter-cell coordination and overlapping clusters are considered to enhance the system performance. To overcome the tight coupling induced by inter-cell coordination and overlapping clusters, we formulate the system into a two-layered framework. In this framework, the problem is decomposed into independent subproblems which are naturally solvable in a parallel and distributed manner. For each subproblem, an efficient parallel algorithm is proposed to speed up the convergence rate. The simulation results show that our inter-cell coordination strategy can approach the performance achieved by a high-quality limited inter-cell coordination strategy at low signal-to-noise ratio (SNR), and outperform it at high SNR. Moreover, the proposed parallel algorithm enjoys great parallelization speedup with moderate transmit power consumption.
Author Lin, Jiaru
Niu, Kai
Wan, Qian
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  givenname: Kai
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  email: niukai@bupt.edu.cn
  organization: Key Lab of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications
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  givenname: Jiaru
  surname: Lin
  fullname: Lin, Jiaru
  email: jrlin@bupt.edu.cn
  organization: Key Lab of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications
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Snippet We propose a parallel and distributed algorithm for the problem of beamformer design and power allocation in multi-cell massive multiple-input multiple-output...
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StartPage 507
SubjectTerms Antennas
Beamformer Design
Interference
Massive MIMO
MIMO
Parallel Algorithm
Partial Coordination
Power demand
Resource management
Signal to noise ratio
System performance
Title Parallel and distributed algorithm for partial coordination in massive MIMO networks
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