Abstract
This paper addresses adaptive modulation and power allocation for maximizing the practicable sum capacity (sum of the uncoded throughputs of the users) of a multiuser multiple-input single-output MU-MISO) system. Since the optimal solution, dirty paper encoding (DPC), is complicated to implement, we use the simpler linear precoding based on signal- to-leakage-plus-noise ratio (SLNR). For different choices of constellation sizes, the maximum practicable sum capacities and their corresponding optimal power allocations are obtained via individual non-convex optimization. The best constellation sizes for each user are then identified through a search for the highest maximized practicable sum capacity. Simulations demonstrate the significant performance improvement from this approach compared to existing power allocation schemes. Finally, a selection procedure between different constellation sets is presented to obtain the highest practicable sum capacity while maintaining the instantaneous BER of each user below a target value. This approach allows management of the trade-off between the capacity and error performances.
Original language | English |
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Title of host publication | 2014 IEEE 80th Vehicular Technology Conference (VTC2014-Fall) |
Subtitle of host publication | proceedings |
Place of Publication | Piscataway, NJ |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Pages | 1-6 |
Number of pages | 6 |
ISBN (Electronic) | 9781479944491 |
ISBN (Print) | 9781479944507, 9781479944484 |
DOIs | |
Publication status | Published - 24 Nov 2014 |
Externally published | Yes |
Event | 80th IEEE Vehicular Technology Conference, VTC 2014-Fall - Vancouver, Canada Duration: 14 Sept 2014 → 17 Sept 2014 |
Other
Other | 80th IEEE Vehicular Technology Conference, VTC 2014-Fall |
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Country/Territory | Canada |
City | Vancouver |
Period | 14/09/14 → 17/09/14 |
Keywords
- adaptive modulation
- multi-input multioutput
- multiuser
- power allocation
- practicable capacity
- sum capacity