Abstract:
In this paper, the ergodic sum rate of a fading cognitive multiple-access channel (C-MAC) is studied, where a secondary network (SN) with multiple secondary users (SUs) t...Show MoreMetadata
Abstract:
In this paper, the ergodic sum rate of a fading cognitive multiple-access channel (C-MAC) is studied, where a secondary network (SN) with multiple secondary users (SUs) transmitting to a secondary base station shares the spectrum band with a primary user (PU). An interference power constraint (IPC) is imposed on the SN to protect the PU. Under such a constraint and the individual transmit power constraint (TPC) imposed on each SU, we investigate the power allocation strategies to maximize the ergodic sum rate of a fading C-MAC without successive interference cancelation (SIC). In particular, this paper considers two types of constraints: 1) average TPC and average IPC and 2) peak TPC and peak IPC. For the first case, it is proved that the optimal power allocation is dynamic time-division multiple access (D-TDMA), which is exactly the same as the optimal power allocation to maximize the ergodic sum rate of the fading C-MAC with SIC under the same constraints. For the second case, it is proved that the optimal solution must be at the extreme points of the feasible region. It is shown that D-TDMA is optimal with high probability when the number of SUs is large. Moreover, we show that when the SUs can be sorted in a certain order, an algorithm with linear complexity can be used to find the optimal power allocation.
Published in: IEEE Transactions on Vehicular Technology ( Volume: 64, Issue: 9, September 2015)
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- IEEE Keywords
- Index Terms
- Successive Interference Cancellation ,
- Ergodic Sum Rate ,
- Optimal Allocation ,
- Points In Region ,
- Extreme Points ,
- Power Constraint ,
- Sum Rate ,
- Types Of Constraints ,
- Linear Complexity ,
- Optimal Power Allocation ,
- Power Allocation Scheme ,
- Secondary Network ,
- Transmit Power Constraint ,
- Secondary Users ,
- Optimization Problem ,
- Rest Of The Paper ,
- Decoding ,
- Service Quality ,
- Additive Noise ,
- Feasible Solution Of Problem ,
- Optimal Solution Of Problem ,
- Channel Power Gain ,
- Federal Communications Commission ,
- Block Fading ,
- Achievable Rate ,
- Cognitive Networks ,
- Transmission Blocking ,
- Unlicensed Spectrum ,
- Channel Realizations
- Author Keywords
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Successive Interference Cancellation ,
- Ergodic Sum Rate ,
- Optimal Allocation ,
- Points In Region ,
- Extreme Points ,
- Power Constraint ,
- Sum Rate ,
- Types Of Constraints ,
- Linear Complexity ,
- Optimal Power Allocation ,
- Power Allocation Scheme ,
- Secondary Network ,
- Transmit Power Constraint ,
- Secondary Users ,
- Optimization Problem ,
- Rest Of The Paper ,
- Decoding ,
- Service Quality ,
- Additive Noise ,
- Feasible Solution Of Problem ,
- Optimal Solution Of Problem ,
- Channel Power Gain ,
- Federal Communications Commission ,
- Block Fading ,
- Achievable Rate ,
- Cognitive Networks ,
- Transmission Blocking ,
- Unlicensed Spectrum ,
- Channel Realizations
- Author Keywords