On the Capacity and the Optimal Sum-Rate of a Class of Dual-Band Interference Channels

Majhi, Subhajit; Mitran, Patrick

doi:10.3390/e19090495

Cited by 2 publications

(4 citation statements)

References 32 publications

(75 reference statements)

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“…[P1] by associating a Lagrange multiplier to each constraint in (18)- (21), and then deriving and solving the KKT conditions [34]. See Appendix D for details.…”

Section: The Optimal Sum-rate Problemmentioning

confidence: 99%

“…Moreover, the emergence of dual-band modems from Intel [19] and Qualcomm [20], and practical demonstrations such as that in the 3 GHz-30 GHz dual-bands in [4] clearly illustrate the immense potential of such networks. However, few studies have been reported on the information-theoretic limits of multi-user dual-band networks [21], which are crucial in identifying the limits of achievable rates, simplified encoding schemes, etc., in practical dual-band networks. For example, the study on the two-user interference channel over such integrated dual-bands [13] has shown that forwarding interference to the non-designated receivers through the mm-wave links can improve achievable rates considerably.…”

Section: Introductionmentioning

confidence: 99%

“…The DR-MARC is a building block for future dual-band multiuser networks. Since, its performance will be significantly affected by the mm-wave links due to their large bandwidths [11], [18], [21], it is useful to understand how allocating the mm-wave band resources optimizes the performance, similar to other multiuser networks [8], [21], [31]. Hence, to quantify the impact of the mm-wave spectrum on the performance of the DR-MARC, we study the power allocation strategy for the mm-wave direct and relay links (subject to a power budget) that maximizes the achievable sum-rate.…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, we focus primarily on R-MARCs with far underlying c-MARC where the mm-wave links play a key role, and for such R-MARCs, we find sufficient channel conditions under which its capacity is characterized by an achievable scheme.The DR-MARC is a building block for future dual-band multiuser networks. Since, its performance will be significantly affected by the mm-wave links due to their large bandwidths [11], [18], [21], it is useful to understand how allocating the mm-wave band resources optimizes the performance, similar to other multiuser networks [8], [21], [31]. Hence, to quantify the impact of the mm-wave spectrum on the performance of the DR-MARC, we study the power allocation strategy for the mm-wave direct and relay links (subject to a power budget) that maximizes the achievable sum-rate.The contributions of this paper is summarized as follows.• We decompose the capacity of the DR-MARC into the capacity of the underlying R-MARC and two direct links.…”

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confidence: 99%

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Dual-Band Fading Multiple Access Relay Channels

Majhi

Mitran

2019

IEEE Trans. Commun.

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Relay cooperation and integrated microwave and millimeter-wave (mm-wave) dual-band communication are likely to play key roles in 5G. In this paper, we study a two-user uplink scenario in such dual-bands, modeled as a multiple-access relay channel (MARC), where two sources communicate to a destination assisted by a relay.However, unlike the microwave band, transmitters in the mm-wave band must employ highly directional antenna arrays to combat the ill effects of severe path-loss and small wavelength. The resulting mm-wave links are pointto-point and highly directional, and are thus used to complement the microwave band by transmitting to a specific receiver. For such MARCs, the capacity is partially characterized for sources that are near the relay in a joint sense over both bands. We then study the impact of the mm-wave spectrum on the performance of such MARCs by characterizing the transmit power allocation scheme for phase faded mm-wave links that maximizes the sum-rate under a total power budget. The resulting scheme adapts the link transmission powers to channel conditions by transmitting in different modes, and all such modes and corresponding conditions are characterized. Finally, we study the properties of the optimal link powers and derive practical insights. Index TermsFading multiple-access relay channel, Dual-band communication, Millimeter-wave band.Transmission in the mm-wave band differs from that in the conventional microwave band in that omnidirectional mm-wave transmission suffers from much higher power loss and absorption. Thus, a transmitter must use beamforming via highly directional antenna arrays to reach a receiver [6]. Due to the small wavelength at mm-wave frequencies and large path loss, beamforming typically creates links that have a strong line-of-sight (LoS) component and only a few, if any, weak multi-path components. Such mm-wave links are inherently point-to-point, and are well modeled as AWGN links [7]- [9]. Although mmwave links support high data rates due to their large bandwidths, they provide limited coverage, whereas microwave links typically provide reliable coverage and support only moderate data rates. Thus, in a dualband setting, these two bands mutually complement each other: conventional traffic and control information can be reliably communicated in the microwave band, and high data-rate traffic can be communicated via the mm-wave links [3]-[5], [10]-[15].In future 5G networks, access via dual microwave and mm-wave bands will likely be a key technology, and hence they have been subject to much investigation recently. For example, studies as in [10]-[12],[14] focus on improving network layer metrics such as the number of served users, throughput, and link reliability, etc., while studies as in [16]-[18] focus on improving physical layer metrics such as the achievable rates and outage probability. Moreover, the emergence of dual-band modems from Intel [19] and Qualcomm [20], and practical demonstrations such as that in the 3 GHz-30 GHz dual-bands in [4] clearly illustrate...

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“…[P1] by associating a Lagrange multiplier to each constraint in (18)- (21), and then deriving and solving the KKT conditions [34]. See Appendix D for details.…”

Section: The Optimal Sum-rate Problemmentioning

confidence: 99%