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 |
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| Hlavní autoři: | , , |
| Médium: | Konferenční příspěvek |
| Jazyk: | angličtina |
| Vydáno: |
IEEE
01.09.2014
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| Témata: | |
| ISSN: | 2166-9570 |
| On-line přístup: | Získat plný text |
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| Shrnutí: | 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. |
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| ISSN: | 2166-9570 |
| DOI: | 10.1109/PIMRC.2014.7136218 |